Promyelocytic Leukemia Protein Promotes Neuroprotection in a mouse model of Alzheimer’s Disease by Modulating the Microglial Inflammatory Response

Promyelocytic Leukemia Protein Promotes Neuroprotection in a mouse model of Alzheimer’s Disease by Modulating the Microglial Inflammatory Response | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Promyelocytic Leukemia Protein Promotes Neuroprotection in a mouse model of Alzheimer’s Disease by Modulating the Microglial Inflammatory Response Syrago Spanou, Takis Makatounakis, Sofia Papanikolaou, Maria Protopapa, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8584272/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 7 You are reading this latest preprint version Abstract Background Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, characterized by amyloid deposition, neurofibrillary tangles, neuroinflammation and synaptic dysfunction. The Promyelocytic leukemia protein (PML) and the cognate nuclear bodies (PML-NB) have emerged as critical regulators of the nervous system, regulating neocortex development, neuronal survival, protein homeostasis and protection from stress. PML-NB have been implicated in the solubility of pathological aggregates in Neurodegenerative Diseases (NDD). However, the impact of PML on AD progression and whether its loss affects amyloid pathology remain unknown. Methods To investigate the role of PML in neuroinflammation we used intracerebroventricular (ICV) injections of oligomeric amyloid beta 1–42 (oAβ 1−42 ), in WT and Pml-/- mice and primary microglia cultures derived from these genotypes. To explore the role of PML in AD pathology we employed phenotypic, transcriptomic and behavioral analyses of WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice. Results Pml-/- mice displayed reduced recruitment and activation of microglia in the vicinity of οΑβ 1−42 injection, accompanied by deregulated expression of disease-associated microglia (DAM) genes. Consistently, Pml-/- primary microglial cultures exhibit reduced phagocytosis, activation, viability and impaired cytokine responsiveness following β-amyloid challenge. PML depletion in 5xFAD mice accelerates Aβ accumulation, impairs microglial activation, lysosomal acidification and recruitment to amyloid plaques while enhances astrocyte reactivity and neuronal degeneration. Hippocampal transcriptomic analyses reveal sex-dependent effects of PML loss, with downregulation of pathways related to cell migration, axonogenesis and synapse organization in 5xFAD Pml-/- females and peroxisomal functions, DNA repair and immune responses, in 5xFAD Pml-/- males. Both sexes show suppression of immune response genes and deregulated expression of DAM genes. PML depletion increases impulsivity and hippocampus-dependent behavioral abnormalities in the context of Aβ pathology, highlighting a role for PML in maintaining cognitive function. Conclusions PML loss exacerbates multiple aspects of AD pathophysiology including amyloid deposition, impaired anti-inflammatory responses, neurotoxicity and cognitive performance. Our findings identify PML as a key regulator for microglial homeostasis and neuroprotective functions in amyloid pathology. Through its actions in microglia, PML emerges as an effector and a marker of aging and neurodegeneration. Restoring or enhancing its activity may represent a promising therapeutic strategy to preserve neuronal function in AD. Promyelocytic Leukemia Protein (PML) Alzheimer’s disease (AD) Amyloid beta Microglia Neuroinflammation Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 1. Background Alzheimer’s disease (AD) is a progressive multifactorial neurodegenerative disorder, estimated to account for 60%–70% of all dementia cases worldwide [ 1 ]. AD pathology is characterized by the accumulation of amyloid-β (Aβ) plaques in the brain parenchyma, intra-neuronal aggregation of hyperphosphorylated-TAU protein, vascular alterations, neuroinflammation and synaptic dysfunction, ultimately leading to neuronal loss and cognitive decline [ 2 , 3 ]. The “amyloid hypothesis” has long suggested that Aβ deposition drives AD pathogenesis and neurodegeneration [ 4 ]. Genetic evidence demonstrating that dominant mutations causing early onset AD occur in genes coding either for the amyloid precursor protein (APP) or its processing enzymes (presenilin 1 and 2), and leading to Αβ build-up, further supported this hypothesis [ 5 , 6 ]. Recent evidence shows that Αβ aggregation triggers glial responses, myelin damage and neurotoxicity, marking the cellular phase of AD [ 3 ]. The multicellular network in the plaque niche drives neuroinflammation and the manifestation of cognitive deficiency [ 3 ]. Genome-wide association studies (GWAS) have identified several genetic variants as AD risk factors [ 7 , 8 ], linked to immune-related pathways and highly expressed in microglia, including TREM2, CD33, INPP5D, PLCG2, BIN1, and PICALM [ 9 , 10 ], Microglia, the tissue-resident macrophages of the brain parenchyma, derive from erythromyeloid progenitor cells in the embryonic yolk sac and colonize the brain early during embryonic development [ 11 ]. They play key roles in immune surveillance, by clearing pathogens, dead cells and protein aggregates, including Αβ plaques, thus maintaining tissue homeostasis [ 12 , 13 ]. Beyond immune functions, microglia are critical in brain development and circuit refinement, regulating synaptic pruning and neuronal plasticity, functions that require metabolic flexibility [ 14 , 15 ][ 16 ]. In neuroinflammatory conditions, such as AD, microglia act as primary damage sensors of the CNS. They are recruited to Aβ plaques where they proliferate, engulf Aβ peptides through phagocytosis and secrete cytokines, including type I interferons [ 17 ], interleukin-1β [ 18 ] and tumor necrosis factor-α [ 19 ]. Upon amyloid plaques recruitment, microglia adopt an activated morphology and exhibit disease-associated microglia (DAM) transcriptional signatures, that include upregulation of genes such as Trem2 , Tyrobp , and Apoe and downregulation of homeostatic genes [ 20 – 22 ]. The transition to a neuroprotective DAM phenotype is TREM2-dependent [ 20 – 22 ]. In addition, microglia exhibit heterogeneity and are composed of subpopulations with diverse functional signatures that may account for distinct roles during AD progression [ 23 – 25 ]. The promyelocytic leukemia protein (PML) initially identified as a tumor suppressor, is the core organizer of PML-nuclear bodies (PML-NBs) that regulate diverse biological processes such as anti-viral responses, gene expression, stem cell renewal, apoptosis and metabolism [ 26 ]. In the nervous system, PML regulates brain development, circadian rhythm and synaptic plasticity [ 27 ]. In the immune system, PML is induced by diverse stimuli including type I and II interferons and regulates both innate and adaptive immunity by enhancing IFN signaling through interactions with STAT1 and STAT3 [ 28 ]. Further, it enhances transcription of interferon stimulated genes (ISGs) [ 29 ]. Interestingly, PML induction by interferon β occurs not only in immune, but also in neural cells [ 30 ]. PML deficiency impairs the innate immune responses to Listeria monocytogenes infection in mice, causing spontaneous granulomatous lesions due to defective macrophage function [ 31 ]. PML has been shown to exert neuroprotective effects during early cerebral ischemia, highlighting its role in both protection and recovery [ 32 ]. PML also degrades mutant ataxin-7, alleviating neurodegeneration in spinocerebellar ataxia-7 models [ 30 , 33 , 34 ]. Furthermore, PML-NBs decline with age [ 35 ] and are significantly reduced in hippocampal neurons of ALS-FTD patients [ 36 ], suggesting that PML plays a key role in maintaining CNS homeostasis and regulating neurodegeneration mechanisms. However, the involvement of PML in AD has not been explored. Previously, we demonstrated that PML protects mouse embryonic neural stem cells (eNSC) from amyloid stress induced cell death and safeguards proteostasis by enhancing both autophagy and proteasomal functions. In addition, PML sustains eNSC mitochondrial integrity by supporting the activities of PGC-1α and the PPARγ pathways [ 37 ]. In this study, we addressed the role of PML in neuroinflammation and amyloid pathology in animal models of AD. By combining intracerebroventricular injections of oligomeric amyloid beta 1–42 (oAβ 1−42 ) in wild-type and Pml-/- mice, along with comparative analysis of phenotypic, behavioral and RNA sequencing studies in 5xFAD, Pml-/- and 5xFAD Pml-/- mice, we uncovered a novel function of PML that acts as a protective factor in the context of AD pathology. Our results demonstrate that PML-deficient microglia show impaired reactivity to Aβ plaques, reduced survival, deregulated cytokine signaling and defective phagocytosis, contributing to neuronal degeneration. The ablation of PML aggravates multiple aspects of 5xFAD pathophysiology including amyloid deposition, microglial deficiency, neurotoxicity and deterioration of cognitive functions. Taken together, our findings identify PML as an essential mediator for microglial homeostasis and neuroprotective functions, in amyloid pathology. 2. Materials & Methods Mice C57BL/6 control (WT), 5xFAD (stock #034848-JAX) and C57BL/6-Pml tm1(PML/RARA)Ley /J ( Pml-/- ) (stock #017959-JAX) mice were obtained from the Jackson Laboratory. 5xFAD mice were maintained as heterozygotes through mating them with C57BL/6 J. For 5xFAD Pml-/- studies, Pml-/- mice were crossed to 5xFAD to obtain heterozygous 5xFAD Pml+/- , which were further crossed to Pml-/- to generate 5xFAD Pml-/- littermates. Mice were genotyped using polymerase chain reaction (PCR) before experiments. Only male mice were used for functional experiments and both females and males for RNA-sequencing and amyloid deposition analysis, as described in figure legends. Mice were housed, bred and treated at the IMBB animal facility according to standard animal welfare practices. All animals were housed in appropriate cages with 12 h dark and 12 h light cycle, ambient temperature, humidity and ad libitum access to food and water. The IMBB animal facility operates in compliance with the “Animal Welfare Act” of the Greek government, using the “Guide for the Care and Use of Laboratory Animals” as its standard (Facility license: EL 91 BIObr 01, EL 91 BIOexp 02). All procedures were conducted according to Greek national legislations and institutional policies following approval by the FORTH ethical committee. Procedures used for the current studies were approved by the General Directorate of Veterinary Services, region of Crete (license numbers: 184380, 90851). Primary microglial culture preparation To examine microglia viability, activation and phagocytosis, mixed glial cell cultures were established from the cortices of postnatal day 2 (P2) WT and Pml-/- pups, as previously described [ 38 ]. Briefly, cortices were dissected under sterile conditions and meninges were carefully removed. Tissues were enzymatically dissociated in 0.025% trypsin for 10min at 37°C, followed by gentle trituration. Cell suspensions were plated in poly-D-lysine (0.01 mg/ml PDL, Sigma-Aldrich)-coated 75cm2 culture flasks, containing DMEM (GlutaMAX™, 4.5 g/L d-Glucose, -Pyruvate, Gibco), supplemented with 10% FBS (Gibco) and 0.05mg/ml Gentamycin. Cultures were maintained at 37°C in a humidified 5% CO₂ incubator and the medium was replaced twice weekly. After 14 days in vitro , when a clear, confluent layer of cells was formed, the mixed glial culture was separated into different cell populations according to their ability to attach to the flask. Microglial cells were detached from the astrocytic monolayer by orbital shaking at 200 rpm for 1 h at 37°C. The culture medium containing detached microglia was collected and centrifuged at 300 g for 10 min. Cell pellets were resuspended in completed DMEM and seeded at a density of 15x10 4 cells/ml on PDL-coated glass coverslips. Microglial cells were allowed to adhere overnight, then serum-starved (DMEM supplemented with 0.1% FBS and 1% gentamycin) for 4 h prior to Aβ treatment. Cells were subsequently treated with oAβ 1− 42 1 and 5µM, for 48h to induce microglial activation or assess cell viability. Following treatment, cell culture supernatants were collected and stored at − 80°C for subsequent ELISA analysis. To examine antigen presentation functions of pathological microglia, primary microglia were isolated from whole brains of 6-month old WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice. Brains were rapidly excised and washed in ice cold DMEM (Gibco) supplemented with 10% FBS(Gibco) and 0.05mg/ml gentamycin. Tissues were minced and enzymatically dissociated in 1 mg/ml collagenase type IV for 40min, at 37°C. The enzymatic reaction was terminated by adding complete medium and cell suspensions were centrifuged at 280xg for 5 min. Cells were resuspended in fresh DMEM and dissociated using a syringe (21G needle), followed by filtration through a 40µm cell strainer to remove debris and aggregates. Next, myelin and cellular debris were removed by density gradient centrifugation using isotonic Percoll solutions. Briefly, cell pellets were resuspended in 3ml of 75% Percoll isotonic solution, overlaid with 5 ml 35% Percoll and topped with 1 mL of ice-cold 1xPBS. Gradients were centrifuged at 800xg for 40 min at 4°C, with no brake. The interphase containing microglia, was carefully collected, diluted in 1xPBS and centrifuged at 300xg for 5 min. Microglial cells were then prepared for immunostaining and flow cytometry analysis. Intracerebroventricular injections (ICV) Three-month‐old WT and Pml-/- mice were anesthetized with ketamine (100 mg/kg)/xylazine (10 mg/kg) and kept on a thermal blanket in a stereotaxic frame (Stoelting). Under aseptic conditions, an incision along the midline was made to reveal the skull and craniotomies were drilled with a 005 carbide drill round (Hager & Meisinger GmbH) to allow bilateral injections into the lateral ventricles. Pulled long-shaft glass pipettes (Drummond) were backfilled with mineral oil before loading oAβ 1−42 (250nM) or sterile 1xPBS vehicle. Next, four microliters total volume was injected into both lateral ventricles in the following coordinates: -0.5mm anterior/posterior, -2.3mm dorsal/ventral and ± 1.0mm lateral from bregma (Paxinos and Franklin's the Mouse Brain in Stereotaxic Coordinates, Fourth Edition), using an ultra-precise digital mouse stereotaxic instrument (Stoelting) at a flow rate of 0.3 µl/min. After completing the injections, the pipette was kept in place for 5 min and then slowly withdrawn to avoid backflow. Carprofen (5 mg/kg) was administered subcutaneously after the surgery. Upon completion of injections, mice were allowed to wake up from anesthesia. No signs of pain, distress or other behavioral changes were observed during or after the procedure. 72 h after ICV injections, mice were sacrificed and brains were harvested for immunohistochemistry and RT-qPCR analysis. Immunostaining Mice were anesthetized by intraperitoneal injection with a ketamine/xylazine mixture (1:1) and then transcardially perfused using 1xPBS. Brains were removed and separated in hemispheres. The right hemisphere was fixed in fresh 4% paraformaldehyde (PFA) for 48h at 4 C, while cortices and hippocampi from the left hemispheres were dissected and stored at − 80°C for subsequent protein and RNA analyses. Post fixation, hemispheres were washed twice with 1× PBS, then transferred to 30% sucrose for cryoprotection for 48h at 4°C, embedded in 7.5% gelatin–15% sucrose and rapidly frozen in a dry ice isopentane bath. 20µm coronal cryosections were mounted on Superfrost Plus microscope slides (Thermo) and stored at − 80°C until further use. Cryosections were permeabilized in ice-cold acetone at − 20°C for 4 min, followed by washes in 0.1% Triton X-100 in 1× PBS for 15 min and 0.3% Triton X-100 in 1x PBS for 30 min, at room temperature (RT). Sections were blocked in 10% goat serum (Abcam) containing 0.1% Triton X-100 in 1× PBS and 0.1% BSA for 1 hr RT and then incubated with primary antibodies ( Table S.1 ), diluted in blocking solution overnight at 4 C. The following day, slides were washed three times (15 min each) in 0.1% Triton X-100 in 1× PBS and incubated with the appropriate fluorochrome-labeled secondary antibodies for 1 h, RT ( Table S.1 ). Sections were again washed three times for 15 min as before and cell nuclei were visualized with DAPI. For Thioflavin S staining, sections were stained with 1% Thioflavin S (ThioS) (Sigma-Aldrich) solution in 50% ethanol for 8min RT, followed by three washes with 50% ethanol for 2 min and one wash with 1xPBS. Slides were covered with Mowiol® 4–88 mounting medium. For each condition, at least three tissue sections per animal were analyzed and three or more animals were included per genotype, as indicated in the figure legends. For immunofluorescence experiments in primary microglia, cells were fixed in 4% PFA for 20 min, permeabilized with 0.5% Triton-X in 1× PBS for 5 min and blocked with 1% BSA for 1h, RT. After incubation with primary antibodies for 1 h at RT, secondary fluorescent antibodies were added for 1h and DAPI or TO-PRO-3 were used for nuclear counterstaining. All samples were imaged with a Leica SP8 inverted confocal laser scanning microscope, equipped with 40X and 63X oil objectives and analyzed with Fiji (ImageJ) software. Confocal imaging and analysis All samples including brain cryosections and primary microglia were analyzed using a Leica SP8 inverted confocal laser scanning microscope, equipped with 40X and 63X oil objectives. All images were acquired with the same image acquisition settings to ensure consistency across experiments. A z-step size of 0.5 µm step size for in vitro microglial cultures and 0.7µm step size for brain sections, at 1024 x 1024 pixels. For quantification analyses, identical laser intensities and z-stacks with same number of sections were used, for all conditions within experiments, using the Fiji software. Densitometric analyses were used for the quantification of PML, IBA1, glial fibrillary acidic protein (GFAP), TREM2 and cleaved-caspase-3 immunohistochemistry. Channels were split and regions of interest (ROIs) were manually designed with a free-hand tool for distinct hippocampal regions (DG, CA1, CA3) and the restrosplenial cortex (RSC). For TREM2 fluorescent intensity measurements in microglial cultures, channels were split and regions of interest (ROIs) were designed with a free-hand tool. The mean fluorescent intensity (MFI) was calculated by subtracting the MFI of a non-fluorescent area (background ROI) from the MFI of the fluorescent signal. To evaluate microglial Aβ engulfment, three-dimensional (3D) segmentations of Aβ plaques were generated for ThioS and CD68 stainings in Fiji, as described previously [ 39 ]. Threshold was applied and binary masks were created. Using the 3D object counter plugin in Fiji (Image J), the volume of ThioS mask (plaque volume) and the intersection of CD68 and ThioS volume (engulfed volume) was calculated for each plaque. A minimum of 15 individual plaques per brain section were analyzed from 3 sections per mouse and four animals in total were examined per genotype. Microglial morphology was analyzed using the skeletonize (2D/3D) analysis plugin in Fiji (Image J). IBA1 + microglia were binarized, thresholded and then skeletonized to quantify the number of branches, junctions, triple and quadruple points per cell. Sholl analysis was also performed on the same cells. A radius was drawn from the center of the cell soma to the end of the cell. The first circle was positioned close to the cell body and the distance between each circle was set at 3 µm for all cells. The number of times that the microglial branches intercepted each circle was calculated with Fiji (ImageJ) software. Western blot analysis (WB) Frozen brain hemispheres were thawed on ice and mechanically homogenized using a tissue homogenizer in RIPA buffer (1% Triton, 50 mM Tris pH 7.6, 150 mM NaCl, 0.5% deoxycholate, 1mM EDTA, 1 mM PMSF, 20% glycerol) supplemented with protease phosphatase inhibitor cocktail (Complete EDTA Free; Roche Applied Science). Protein concentration was determined by Bradford assay and equal amounts of proteins (40 µg) were subjected to SDS/PAGE, as previously described [ 37 ]. Samples were then transferred to nitrocellulose membrane (Amersham Hybond), blocked with 5% BSA in TBST, followed by immunoblotting. The SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo) was used to detect signal by ChemiDoc Imaging System (Biorad). The primary and secondary antibodies used for WB are listed in Table S.1 ELISA To quantify the ratio Αβ42/40 in both soluble and insoluble fractions, brain hemispheres were used. Samples were mechanically homogenized in lysis buffer and centrifuged at 15,000rpm for 20min at 4°C. Supernatants were collected as soluble fractions. For the insoluble fraction, brain homogenate pellets underwent guanidine extraction. Pellets were incubated in 5 M Guanidine HCl/50 mM Tris (pH = 8.0) solution at a 1:5 ratio, for 3hr RT and further diluted 1:5 in PBS containing protease inhibitors. Samples were then centrifuged at 15,000rpm for 20min at 4°C and supernatants (insoluble fraction) were stored at − 80°C until analysis. The protein concentrations of soluble and insoluble fractions were determined by Bradford assay. Both fractions were further diluted for ELISA. Human amyloid beta (1–42) LEGEND MAX (Biolegend, #448707) and human amyloid beta (1–40) LEGEND MAX (Biolegend, # 449007) ELISA kits were used for standard curves and assay was performed according to manufacturer’s instructions. To measure TNF-α and IL-10 levels in microglial culture supernatants, mouse TNF-α LEGEND MAX (Biolegend, #431417) and mouse IL-10 LEGEND MAX (Biolegend, #430907) ELISA kits were used for standard curves and assays were performed according to manufacturer’s instructions. Absorbance was measured at 450nm using a Berthold Apollo microplate absorbance reader. Flow cytometry Single-cell suspensions obtained after Percoll density gradient centrifugation were resuspended in 100 µL 1xPBS/5% FBS and stained with fluorochrome-conjugated antibodies for 30 min at 4 o C, in the dark. The following antibodies were used: CD11b-APC (1:100), CD45-PE (1:100), MHC-II-FITC (1:100) and CD86-PerCP (1:100). For lysosomal activity assessment cells were incubated with 1µM LysoSensor™ Green DND-189 (Invitrogen, L7535) diluted in warm DMEM for 45 min at 37 o C. Following staining, cells were washed with 1xPBS/5% FBS at 400g for 5min. Cell analysis was performed using a BD FACSAria™ Fusion flow cytometer (BD Biosciences). For the gating strategy, FSC/SSC was initially applied to exclude debris and select viable cells (alive cells) and FSC-A/SSC-A was then applied to remove doublets. Microglia were identified as CD11b + CD45 int cells and median fluorescence intensity (MFI) for MHC-II, CD86 and lysosensor was quantified. Data were analyzed using FlowJo software (Tree Star). In vitro phagocytosis assay Primary microglia from WT and Pml-/- mice were seeded on PDL coated 8mm glass coverslips at a concentration of 15x10 4 cells/ml and cultured in growth medium at (incubator conditions). The next day Fluoresbrite® BB Carboxylate Microspheres 1.75µm (Polysciences) 15x10 3 beads/ml were added in microglial cultures and incubated for 1.5, 3 and 6 hours at 37 o C. To examine phagocytosis of microglial cells, coverslips were then washed with PBS to remove noninternalized beads, fixed with fresh 4% PFA for 20 min, at RT and stained for IBA1 and TO-PRO3, as previously described. Cells were imaged with a Leica SP8 inverted confocal laser scanning microscope, using a 63X oil objective and analyzed with Fiji (ImageJ) software. Celltox assay Celltox assay (Promega) was used to evaluate primary microglia survival according to the manufacturer's instructions. Primary microglial cells were cultured for 48 h in proliferation medium (containing 10% FBS) and subsequently treated with oligomeric amyloid-β (1–42) 1 µΜ and 5 µΜ (AnaSpec), for 48 h in serum free conditions. The stock solutions of amyloid-β was dissolved in 1× PBS according to the manufacturer's instructions. The same volume of 1× PBS was added to the controls of each experiment. Celltox and Hoechst (1:10,000, Invitrogen) were added to each well simultaneously with the amyloid treatments. Cells were imaged with a Leica Led Inverted fluorescent microscope and analyzed with Fiji (ImageJ) software. High content screening image processing and analysis Hippocampal sections from 5xFAD and 5xFAD Pml-/- 6month old mice were stained for amyloid plaques and were imaged on a high-content Operetta microscope (Perkin Elmer), using a 20x objective lens. For quantification and analysis, amyloid deposits were segmented based on the green fluorescence channel and selected according to defined morphological and intensity criteria. Analysis was based on the Harmony 4.1 software (Perkin Elmer). Because the software could not reliably delineate the borders of distinct brain regions, this step was performed manually. All acquired images were tiled to generate a comprehensive map of each brain section, and regional differentiation was guided by reference to the Paxinos and Franklin's mouse brain atlas (Fourth Edition). Subsequently, amyloid deposits were manually identified, while all quantitative parameters were extracted automatically using the analysis algorithm. Mouse behavioral tests For all behavioral experiments, 6-month-old male mice were used and tested during the dark phase of a 12 h light/dark cycle. The object location (OL) task and open field test (OFT) were evaluated in a square open-field arena (35 × 40 × 35 cm) made of plexiglas, to assess spatial object memory and exploratory and anxiety-like behavior, respectively [ 40 ]. Before the test, mice were handled twice for four days, with 3 hours apart. After handling, the habituation lasted two days before the test, with 10 minutes of each session. During habituation, mice activity was recorded, evaluating, among others, stereotypical jumping behavior. The test began with the sample phase, in which mice were placed in the arena and allowed to explore two identical objects for 10 minutes. After a 3h retention delay, mice underwent a 2-minute choice phase. During this phase, one object from the sample phase and one novel object, were presented. The object from the sample phase was transferred to an adjacent corner of the arena during the choice phase, making its position rather than its identity, the novel element. The order of object pairs, the designated sample and novel objects within each pair and the side of the apparatus (left or right) on which the novel object was placed during the choice phase, were all counterbalanced. Novelty preference was quantified by calculating a discrimination index (DI) defined as: DI = (novel object exploration – familiar object exploration)/(total object exploration). In the sample phase, both objects were equally novel, and a DI of approximately zero was expected. In the choice phase, a DI significantly greater than zero indicated novelty preference, which was interpreted as evidence of intact memory. Mice activity was recorded using an overhead video camera and (Logitech) analyzed using Smart v3.0 video tracking software (Panlab). Outliers (> 2 S.D from the mean) and mice that spent less than 3% of the sample phase exploring, were excluded from analyses. RNA isolation and quantitative real-time PCR (RT-qPCR) Total RNA was extracted from hippocampi or microglia using Nucleozol (Macherey-Nagel) according to the manufacturer’s instructions, as previously described [ 37 ]. In brief, RNA concentration was determined using a NanoDrop 2000 spectrophotometer (Thermo Fischer Scientific) and 1µg RNA was reversely transcribed to cDNA by M-MuLV Reverse Transcriptase (NEB) supplemented with RNase inhibitor (NEB) according to the manufacturer’s protocol. Quantitative RT-PCR was carried out using Luna Universal qPCR Master Mix (NEB) and Biorad CFX96 Touch Real-Time PCR Detection System. Gene expression levels were normalized to β-Actin and F4/80 for microglial genes. Primer sequences used for qRT-PCR are presented in Table S.2 3′ RNA sequencing The RNA samples were analyzed using Agilent RNA 6000 Nano kit with the bioanalyzer from Agilent. RNA samples with RNA integrity number (RIN) > 7 were used for library construction using the QIAseq UPX 3’ Transcriptome kit (QIAGEN 333088), starting with 10 ng of total RNA and relying on UPX tagging for samples multiplexing and UMIs for accurate gene expression as per the manufacturer’s instruction (QIAGEN Cell ID 25–48). We examined the hippocampus of WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice (3 males and 3 females per group). Amplification was controlled for obtaining optimal unbiased libraries across samples (13 + 8 cycles). DNA High Sensitivity Kit for bioanalyzer was used to assess the quantity and quality of libraries, according to the manufacturer’s instructions (Agilent). Libraries were sequenced on an Illumina Nextseq 2000 (paired end with 101 cycles read 1, 12 cycles index 1 and 50 cycles read 2) at the genomics facility of IMBB-FoRTH according to the manufacturer’s instructions and the number of reads obtained for each sample after demultiplexing and the percentage of reads aligning to mm10 genome are listed in Table S.3. Differential Expression Analysis (DEA) and Gene Ontology (GO) enrichment analysis of bulk RNA sequencing data The quality of the raw sequences in output FASTQ files was assessed with the FastQC software. A detailed description of the process is provided in supplementary material 1. Differential gene expression analysis was performed using DESeq2. Genes were included in the analysis if they exhibited an average normalized count of at least 5 across all samples. For comparisons among the four experimental conditions (WT, Pml-/- , 5xFAD and 5xFAD Pml -/- ), sex was accounted for as a covariate in the model design. In addition to the combined analysis, differential expression was also assessed separately within each sex. Differentially expressed genes (DEGs) in either group of the comparison, were defined by applying the following thresholds |Log2FC| >0.58 and p-adj < 0.05, which was considered statistically significant. Statistical analysis All statistical analyses and graphs were performed using the GraphPad Prism 8.0.2 software. All graphs represent values as mean and the standard deviation (mean ± SD), as indicated in the figure legends. The p-value < 0.05 was considered significant difference, determined by unpaired t-test, one-way or two-way ANOVA comparisons, as indicated in the figure legends. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, n.s (not significant). Experiments were repeated at least 3 times. For animal studies, each biological replicate consisted of 3–6 mouse tissues or cell cultures per genotype per time point or treatment. Quantification of fluorescence microscopy, confocal microscopy and high content images were performed using the Fiji (ImageJ) or the Harmony high-content imaging software (PerkinElmer). 3. Results 3.1. PML expression changes with the progression of amyloid pathology in 5xFAD mice Recent reports indicate that PML supports the health of neural stem cell (NSC) by preserving proteostasis and mitochondrial integrity, thereby preventing the accumulation of misfolded proteins [ 37 ]. To investigate whether PML plays a role in the pathology of Alzheimer’s disease (AD), we first examined the expression of PML in the 5xFAD mouse model of familial AD. 5xFAD mice exhibit robust amyloid deposits starting from 2 months, neuronal loss and gliosis accompanied by cognitive deficits starting at 4–6 months [ 41 ]. We stained brain cryosections from the prefrontal cortex and the hippocampus of 2 and 6-month old wild-type mice and found that PML is expressed in the nucleus of MAP2 + neurons and in the branches of homeostatic microglia ( Fig. 1 A ) . Conversely, in 5xFAD mice the nuclear expression of PML was decreased at both the 2 and 6-month time points and mainly expressed in reactive microglia ( Fig. 1 A ) . We proceeded to examine PML expression in the course of amyloid pathology from 2 to 12 months, focusing on the hippocampus and the restrosplenial cortex (RSC). Concordantly with the increase of the glial marker IBA-1, we observed a significant reduction of PML expression in 2-month-old mice in the dentate gyrus (DG), CA1 and CA3 ( Fig. 1 B, C and Fig. S1 A-D) , but not in the RSC ( Fig. 1 D, E ) . Furthermore, as amyloid deposits increased, we observed that PML nuclear expression declined and was enriched in microglia surrounding amyloid plaques. Interestingly, we also detected reduced PML expression in aged WT animals (6 months and 12-months), in the hippocampus but not in the RSC. Taken together, these results suggest that PML reduction is an early event in brain regions susceptible to amyloid pathology and possibly implicated in age-dependent processes. 3.2. PML regulates neuroinflammation induced by amyloid β challenge Our initial observation that PML expression is enhanced in reactive microglia during amyloid pathology, led us to hypothesize that it could participate in molecular mechanisms regulating neuroinflammation. To investigate the contribution of PML in neuroinflammation, we established an acute neuroinflammation model in WT and Pml-/- mice. We administered oligomeric Aβ 1−42 (οΑβ 1−42 ) via intracerebroventricular injections (ICV) in both lateral ventricles (250nM/ ventricle, M/L 1mm, A/P -0.5mm, D/V -2.3mm) of 6–8 weeks old WT and Pml-/- mice and studied microglia responses in the hippocampus ( Fig. 2 A ) . 72 hours post injection we harvested brain tissues for further examination. Densitometric analysis of immunohistochemistry data revealed that Pml-/- mice injected with οΑβ 1−42 , showed decreased expression of IBA-1 + activated microglia in distinct areas of the hippocampus (DG, CA1 and CA3), compared to οΑβ 1−42 injected WT mice ( Fig. 2 B, C ) . No significant microglia reactivity was observed in WT and Pml-/- mice, injected with PBS as negative controls ( Fig. 2 C and Fig. S2A) . Furthermore, Pml-/- mice injected with οAβ 1−42 displayed increased neuronal apoptosis, as indicated by elevated levels of cleaved caspase-3 in MAP2 + neurons of the hippocampus and RSC, compared to WT mice (Fig. S2B, C) . These results show that impaired recruitment and activation of microglia in the vicinity of οΑβ 1−42 injection sites may contribute to increased neurotoxicity in Pml-/- hippocampi. RT-qPCR analysis revealed increased Pml expression in WT mice, in response to Αβ administration ( Fig. 2 D ) , suggesting that PML is required for immune responses to amyloid oligomers in the hippocampus. To test this possibility, we examined the expression of genes associated with inflammation and found that οΑβ 1−42 injected Pml-/- mice showed decreased expression of Interleukin-1b , increased Nos2 and markedly decreased expression of anti-inflammatory genes ( Interleukin-4 , Interleukin-10 , Arginase 1 ), compared to οΑβ 1−42 injected WT mice ( Fig. 2 E ) . Furthermore, we examined how microglia respond transcriptionally to Aβ by evaluating the expression of specific disease-associated microglia (DAM) genes [ 10 , 21 ]. WT hippocampi showed increased expression of DAM genes following οΑβ 1−42 injection ( Fig. 2 F and Fig. S2D) , confirming microglial activation. Conversely, in οΑβ 1−42 injected Pml-/- mice, we detected significantly reduced expression of several DAM genes, including the neuroprotective factor Trem2 , Cst7 and Spp1 ( Fig. 2 F and Fig. S2D) . In contrast, the expression of Apoe ( Fig. 2 F ) and Siglec-3 (Fig. S2D) , which associate with AD risk [ 10 , 42 ], was increased in correlation with decreased Trem2 [ 43 ]. Collectively, these data support an essential role of PML in mediating the innate immune responses of microglia to οAβ 1−42 in the hippocampus. Activated microglia undergo distinct morphological and functional transformations. Due to their pronounced plasticity, they can expand, migrate and transition from a highly ramified to an amoeboid morphology and gain enhanced phagocytic capacity, by high expression of IBA-1. In order to determine the cellular and molecular mechanisms underlying the οΑβ 1−42 effects on the activation of microglia in the absence of PML, we established in vitro primary microglial cultures derived from postnatal day 2 (P2) WT and Pml-/- mouse pups. We incubated WT and Pml-/- microglia to buffer alone or 1µM οΑβ 1−42 for 48 hours and observed increased expression of TREM2 in WT as opposed to Pml-/- cultures relative to untreated controls ( Fig. 3 A, B ) . Cell viability assays (CellTox) revealed that Pml-/- microglia exhibited increased cell death after 48h treatment with 1 or 5 µM οΑβ 1−42 , in comparison to WT microglia counterparts ( Fig. 3 C and Fig. S3A) . Of note, in starvation relative to control conditions (1% vs 10% FBS respectively), Pml-/- cells showed higher baseline mortality, suggesting a pro-survival role of PML under stress conditions[ 37 ] ( Fig. 3 C and Fig. S3A) . To further evaluate microglia status after treatment with οΑβ 1−42 , supernatants from microglial cultures were used for ELISA assays to measure pro-inflammatory and anti-inflammatory cytokines. WT microglia showed robust TNF-α secretion following amyloid challenge, confirming activation, whereas Pml-/- microglia produced significantly lower TNF-α ( Fig. 3 D ) . In addition, we examined IL-10 expression and we found that both WT and Pml-/- microglia showed increased IL-10 production after οΑβ 1−42 treatment, whereas Pml-/- microglia displayed significantly lower IL-10 levels than WT cells ( Fig. 3 E ) . These data indicate that Pml-/- primary microglia show impaired activation, viability and cytokine responsiveness following a β-amyloid challenge. Attenuated induction of TREM2 and imbalance between pro- and anti-inflammatory cytokines suggest an impairment in microglial immune competence, in line with in vivo findings in the hippocampus ( Fig. 2 B, C ). A key physiological function of microglia in vivo is the clearance by phagocytosis of apoptotic cells, cellular debris and pathogenic aggregates like amyloid peptides [ 15 ]. To determine whether PML influences this function, we examined the phagocytic capacity of WT and Pml-/- microglia using fluorescent latex beads. Cells were incubated with microspheres for 1.5, 3 and 6 hours and bead uptake was assessed by confocal microscopy. Pml-/- microglia exhibited reduced phagocytic activity at 3h and 6h, compared to WT cells ( Fig. 3 F, G ) , supporting a role of PML in the phagocytic-clearance capacity of microglia. Collectively, these data suggest that PML is critical for maintaining microglial homeostasis and reactivity under amyloid stress, with its deficiency potentially worsening amyloid pathology and neuroinflammation. 3.3. PML loss exacerbates amyloid deposition in 5xFAD mice To investigate how PML influences Aβ pathology and Alzheimer’s disease related phenotypes, we crossed Pml-/- mice and 5xFAD mice to generate 5xFAD Pml-/- mice, which were born at the expected Mendelian frequency and presented no developmental defects. RT-qPCR analysis confirmed Pml expression in WT and 5xFAD mice and its absence in Pml-/- and 5xFAD Pml-/- littermates (Fig. S4A) . At 6 months of age, high content microscopy analysis revealed that 5xFAD Pml-/- mice exhibited significantly augmented amyloid burden characterized by increased amyloid plaque area in the hippocampus and restrosplenial cortex (RSC), compared to 5xFAD controls ( Fig. 4 A, B and Fig. S4B, C) , indicating that loss of PML exacerbates Aβ deposition in the 5xFAD background. Interestingly, we found a higher Aβ plaque deposition in females that was even more pronounced in the 5xFAD Pml-/- mice ( Fig. 4 B, Fig. S4C) , suggesting sex-specific effects of PML function. Soluble Aβ oligomers are highly neurotoxic and tend to aggregate into fibrils and finally compact plaques [ 44 ]. To determine whether PML influences soluble and insoluble forms of Aβ, we quantified Aβ 1−42 in the soluble (phosphate buffered saline (PBS)-extracted) and insoluble (guanidine -extracted) brain fractions using ELISA. Consistent with the increased amyloid burden observed in 5xFAD Pml-/- mice, we detected increased ratio of Αβ 42/40 in both brain fractions ( Fig. 4 C ) , which is strongly associated with early onset and faster progression of pathology, aggravating neurodegeneration [ 45 ]. These data suggest that PML acts to limit Aβ aggregation in 5xFAD mice. 3.4. 5xFAD Pml-/- mice exhibit altered glial dynamics in the hippocampus Given that PML expression is enriched in reactive microglia in the 5xFAD hippocampus ( Fig. 1 A ) and that Pml-/- microglia exhibit weak activation and phagocytosis both in vivo ( Fig. 2 B, C, E, F ) and in vitro ( Fig. 3 ) , we investigated how PML loss affects microglial activation in Aβ-driven pathology. Immunohistochemistry analysis in 6-month old 5xFAD Pml-/- mice revealed reduced IBA1-positive microglia density in the hippocampus and the RSC ( Fig. 4 D and Fig. S4D) and decreased TREM2 expression compared to 5xFAD controls ( Fig. 4 E, F and Fig. S4E, F) . In addition, we assessed microglial morphology in the hippocampus by performing skeletal and Sholl analyses[ 46 ] on IBA1-stained sections. 5xFAD Pml-/- microglia displayed a reduction in the number of branches, junctions, triple and quadruple junctions, compared to 5xFAD controls (Fig. S4G) . Sholl analysis further confirmed a significant decrease in the number of intersections in 5xFAD Pml-/- microglia (Fig. S4H) . These changes in microglial morphology indicate diminished branching complexity and a transition toward a less reactive or dystrophic state, consistent with the overall attenuation of microglial reactivity observed in PML-deficient 5xFAD mice. Moreover, PML-deficient 5xFAD mice showed increased death of MAP2 + neurons in DG and RSC and to a lesser extent in CA1 and CA3 regions as shown by elevated cleaved caspase-3 expression ( Fig. 4 G, H and Fig. S4I, J) . Our findings indicate that PML deficiency impairs microglial activation and recruitment to Aβ plaques and accelerates Aβ deposition, thereby contributing to neuronal degeneration. Astrocytes, as key regulators of brain architecture and homeostasis, play crucial roles in the progression of neurological diseases. In models of AD, reactive astrocytes are associated with neuroinflammation, brain damage and cognitive decline [ 47 , 48 ]. In a previous study, we demonstrated that Pml-/- hippocampi exhibit significantly increased presence of astrocytes and enhanced activation of the transcription factor STAT3, compared to WT controls [ 37 ]. To further investigate how PML loss influences astrocytic responses during amyloid pathology, we performed immunohistochemistry analyses in 6-month-old 5xFAD and 5xFAD Pml-/- mice. We detected pronounced reactive astrogliosis, particularly in areas close to amyloid plaque deposits, with 5xFAD Pml-/- mice exhibiting a higher density of GFAP-positive astrocytes in the hippocampal areas CA1, CA3, and the RSC compared to 5xFAD controls ( Fig. 5 A, B, Fig. S5A, B) . In the DG, astrocyte reactivity was elevated but showed comparable density between 5xFAD genotypes ( Fig. 5 A, B ) . As shown in Fig. 5 C hypertrophic GFAP⁺ astrocytes cluster around amyloid plaques in both 5xFAD and 5xFAD Pml-/- mice. However, in the absence of PML, astrocytes were positioned in closer proximity to plaques, extending their processes toward amyloid deposits, likely forming a physical barrier against microglial access and phagocytosis. Consistent with these observations, protein analysis of whole-brain lysates indicated increased levels of activated STAT3 in 5xFAD Pml-/- mice ( Fig. 5 D, Fig. S5C) , a proinflammatory cytokine inducer connected to Aβ production[ 49 ] and a hallmark of astrogliosis [ 50 ]. Together, these findings suggest that PML loss enhances astrocyte reactivity (reactive astrogliosis) and STAT3 activation during amyloid pathology, potentially creating an astroglial barrier that interferes with microglial access to Aβ plaques. 3.5. PML loss reprograms the hippocampal transcriptome in a sex-dependent manner To further delineate the effects of PML deficiency on amyloid pathology at the molecular level, we performed RNAseq analysis of hippocampi, isolated from 6-month old WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice. We compared the transcriptomes of Pml-/- , 5xFAD, 5xFAD Pml-/- with their relative controls, as shown in Fig. S6A. Given that Alzheimer’s disease exhibits pronounced sex differences in progression and transcriptional signatures [ 51 ], we also analyzed male and female samples separately. We performed functional analysis for deregulated gene ontology (GO) pathways, employing the over-representation analysis (ORA). Initially, we compared the transcriptome of Pml-/- hippocampi to the WT ( Fig. S6B-E ) and detected downregulation of pathways associated with synapse organization in both sexes and circadian rhythm in males. In the upregulated categories, we found axonogenesis, regulation of neurogenesis and synapse organization indicating that ablation of PML may induce re-wiring of the neuronal system (Fig. S6C, E) . Moreover, in males, PML loss caused the upregulation of functions related to cell death in response to stresses (Fig. S6E) [ 52 ]. These findings suggest a sex-specific bias in the absence of PML. Pathway analysis in 5xFAD compared to WT animals (Fig. S6F-I) , showed downregulation of pathways associated with mitochondria functions in females (Fig. S6G) while axonogenesis, dendrite development, learning and memory in males (Fig. S6I) . Upregulated pathways related to activation of immune response, microglial activation, cell migration, gliosis, T cell activation and MHC-II antigen processing and presentation (Fig. S6G, I) , in agreement with previous studies [ 53 ]. In 5xFAD Pml-/- females compared with 5xFAD controls, we identified 233 differential expressed genes (DEGs), consisting of 171 downregulated and 62 upregulated genes (padj < 0.05) ( Fig. 6 A and Table S4) whereas males displayed 64 DEGs ( Fig. 6 C ) , consisting of 5 downregulated and 59 upregulated genes (padj < 0.05) (Table S4) . Functional analyses for enriched pathways in females, revealed the suppression of ameboidal cell migration pathway that is important for microglia in AD, including Actn4 , Akt3 , Dock1 and Edn3 [ 54 ]. In addition, axonogenesis, dendrite development and synapse organization pathways including Clasp2 , Foxp1 , Adam10 , Ncam1 and Picalm , were suppressed ( Fig. 6 B ) . The same analysis for the males showed the downregulation of peroxisomal functions ( Fig. 6 D ) including Acot5 , Amacr and Ide that encode for proteins that regulate fatty acid and glucose homeostasis and are emerging AD pathology modulators [ 55 ]. Furthermore, pathways related to metabolic processes, cell movement, DNA repair and immunoglobulin mediated immune-response were also downregulated (Fig. S6J) . In females, upregulated pathways included protein degradation and response to starvation, probably reflecting imminent need for aggregate clearance ( Fig. 6 B ) . In males, chromatin remodeling, NOTCH signaling and EMT transition, were upregulated ( Fig. 6 D ) . We directly compared deregulated genes between females and males, in 5xFAD Pml-/- vs 5xFAD ( Fig. 6 E ) . In addition to identifying uniquely deregulated genes of either mouse genetic background in males (blue) and females (red), we also detected a class of commonly deregulated genes (Violet) that are downregulated in females and upregulated in males (Table S5) , pointing to PML-dependent sex differences. These 50 genes are functionally related with the organization of synapses, axon guidance, mRNA processing, ERK and NOTCH pathways ( Fig. S6K ). We have found that the human homologues of these genes in scRNA-seq datasets from control and AD patients [ 56 ], are mainly expressed in excitatory and to lesser extend in inhibitory neurons (Fig. S6L) . Moreover the majority of these genes are highly expressed in low amyloid burden human samples (Fig. S6M) . Given that PML is important for regulating functions in microglia, the brain’s resident immune cells, we proceeded to investigate changes in immune response related genes. Several genes associated with activation of immune responses, including antigen presentation, were downregulated in 5xFAD Pml-/- mice in both females and males ( Fig. 6 F ) . Moreover, we examined genes upregulated in disease associated microglia (DAM) relative to homeostatic microglia [ 21 ]. As depicted in Fig. 6 G, the activation of many DAM genes was restrained in 5xFAD Pml-/- mice, suggesting compromised microglial activation. Microglial cell activation, by either infection, trauma, or protein aggregates like amyloid-β, results in the production of reactive oxygen species (ROS) and reactive nitrogen species (RNS) as part of their defense mechanisms. As shown in Fig. S6N we detected reduced expression of genes related with antioxidant activity. Importantly, both female and male 5xFAD Pml-/- mice demonstrated decreased expression of genes regulating synaptic plasticity (Fig. S6O) , in accordance with increased neuronal death ( Fig. 4 G, H ) . Collectively, these findings suggest that PML deficiency alters the hippocampal transcriptome in a sex-dependent manner and compromises the immune and synaptic gene expression patterns, among others. 3.6. PML promotes microglial immune competence and efficient amyloid plaque clearance Given that the functional and gene expression findings highlighted microglia as major PML target cells ( Fig. 2 – 3 , 6 G ) , we hypothesized that the increased amyloid burden in 5xFAD Pml-/- mice might result from defective ability of microglial to mobilize an efficient DAM or a more general immune response ( Fig. 6 F, G ) . To test this hypothesis, we isolated and immunophenotyped primary microglia from 6-month old WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice. Flow cytometry analysis of CD11b + CD45 int microglial populations revealed increased expression of MHC-II and CD86 surface markers, members of the disease-associated microglia (DAM) phenotype that are both connected to antigen presentation and activation of T lymphocytes, in 5xFAD mice, as expected ( Fig. 7 A-C and Fig. S7A) . In contrast, 5xFAD Pml-/- microglia showed markedly reduced levels of both markers, despite exacerbated amyloid deposition and neurotoxicity compared with 5xFAD controls ( Fig. 7 A-C ) . Microglial cells from WT and Pml-/- brains showed no significant expression of MHC-II and CD86. Furthermore, RT-qPCR analysis of FACs-sorted microglia from 5xFAD and 5xFAD Pml-/- brains, confirmed decreased gene expression of anti-inflammatory cytokines in the absence of Pml ( Fig. 7 D ) , supporting the transcriptomics data, indicating that Pml-/- microglial cells are defective in both innate and adaptive immune responses. The degree of lysosomal acidification and the activity of its enzymes are critical for breaking down endogenous cellular waste as well as ingested proteins, such as amyloid deposits [ 20 – 22 ]. Consequently, lysosomal efficiency directly influences microglial function and shapes their activation state during neuroinflammation. Microglia depend on proper lysosomal acidification and functions to facilitate the cellular degradation and recycling system [ 57 – 59 ] for both phagocytosis and antigen peptide processing. Lysosomal acidification and its enzyme activities are critical for degradation of endogenous cellular waste as well as ingested proteins, such as amyloid peptides [ 59 – 61 ], thus influencing microglial function and determining their activation in neuroinflammation. Therefore, we tested whether lysosomal activity correlates with impaired microglia phagocytosis in 5xFAD Pml-/- mice. To analyze lysosomal acidification, we performed flow cytometry experiments in primary microglia from 6-month old mice (WT, Pml-/- , 5xFAD, 5xFAD Pml-/- ), employing lysosensor-DND189, a dye that is sensitive to pH alteration in lysosomes. Lysosensor assays revealed increased lysosomal acidification in 5xFAD microglia, in line with increased MHC-II expression and microglia activation, whereas 5xFAD Pml-/- microglia exhibited a significant reduction in lysosomal activity ( Fig. 7 E, F ) . To evaluate the role of the above in amyloid clearance by microglia, we examined the co-localization of β-amyloid and lysosomes, visualized by Thioflavin-S and anti-CD68 phagolysosomal staining respectively, in hippocampal sections of 5xFAD and 5xFAD Pml -/- mice. 5xFAD Pml- depleted microglia showed a significant reduction in the volume of ThioS + plaques internalized within CD68 + phagosomes compared to WTs ( Fig. 7 G, H ) . Also, plaque-associated CD68 staining was lower in 5xFAD Pml-/- mice, indicating reduced microglial Aβ engulfment ( Fig. 7 G ) . Together, these findings demonstrate that PML deficiency disrupted key microglial immune and protein degradation pathways, leading to reduced antigen presentation, impaired lysosomal acidification and defective Aβ clearance. This dysfunction likely underlies the exacerbated amyloid burden and neurodegeneration observed in 5xFAD Pml-/- mice. 3.7. PML ablation exacerbates the cognitive deficits of 5xFAD mice 5xFAD mice typically develop memory impairments around 4–5 months of age when amyloid plaques and neuroinflammation are present [ 41 ]. To evaluate the impact of Pml loss-of-function on cognitive performance, we conducted the object location task (OL) which is a hippocampus-dependent spatial object memory test, in 6-month-old male and female mice ( Fig. 8 A ) . Control mice normally spend more time exploring the relocated object, indicating intact spatial memory [ 40 ]. WT mice spent more time exploring the newly located object, compared to other genotypes ( Fig. 8 B, and Fig. S8A-C) . Object location memory was impaired across sexes in Pml-/- and both 5xFAD genotypes (5xFAD and 5xFAD Pml-/- ), indicating deficits in spatial recognition performance ( Fig. 8 C ) . Importantly, Pml-/- showed a reduced discrimination index compared to WT controls. Both 5xFAD and 5xFAD Pml-/- mice performed worse than WT animals ( Fig. 8 C ) , in line with previous reports of OL memory disruption in AD models [ 40 , 62 , 63 ]. Aβ pathology is known to reduce exploratory behavior and induce anxiety-like and hyperactive phenotypes in transgenic models of AD [ 64 ]. To examine the effect of PML deficiency on these behaviors, we performed the open field test (OFT) in WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice ( Fig. 8 D ) . During the 10 min free exploration period, Pml-/- mice exhibited increased time spent in the center zone ( Fig. 8 E ) , increased distance in the center zone ( Fig. 8 F ) and increased number of entries to the center zone ( Fig. 8 G ) , relative to WT controls reflecting decreased anxiety and thigmotaxis, in agreement with previous studies [ 65 ]. Similarly, 5xFAD Pml-/- mice exhibited increased distance in the center zone ( Fig. 8 F ) and higher number of entries to the center zone ( Fig. 8 G ) relative to WT controls, albeit the time spent in the center zone was not significantly different from WT ( Fig. 8 E ) . On the contrary, the number of entries in the center zone was substantially lower in the 5xFAD compared to Pml-/- and 5xFAD Pml-/- groups. Importantly, the total distance traveled and average speed were similar among all groups suggesting that they all bear intact locomotor activity ( Fig. 8 H, I ) . These findings suggest that 5xFAD Pml-/- exhibit a similar phenotype of reduced anxiety and impulsivity as the Pml-/- animals. This interpretation is corroborated by the number of animals exhibiting stereotypical jumping behavior [ 66 ], shown in (Fig. S8D and Movie S1 ). Both Pml-/- and 5xFAD Pml-/- groups have a much larger percentage of animals that exhibit such jumping behaviors compared to WT and 5xFAD groups. Together, these findings suggest that PML depletion increases the impulsivity phenotype in the context of Αβ pathology in the 5xFAD background and contributes to hippocampus-dependent behavioral deficits, suggesting an important role for PML in preserving cognitive function during amyloid pathology 4. Discussion Alzheimer’s disease is characterized by the buildup of toxic amyloid-β (Αβ) and TAU protein, which trigger chronic neuroinflammation and progressive neuronal loss, ultimately leading to learning and memory impairments in patients. Understanding the molecular, cellular and physiological pathways underlying each stage of disease progression is therefore essential for developing effective therapeutic strategies. Previous work from our lab, has shown that embryonic neural stem cells (eNSC) isolated from Pml-/- mice are more vulnerable to amyloid-β toxicity than control cells and display proteostatic and mitochondrial defects reminiscent of neurodegeneration [ 37 ]. In this study, we examined the involvement of PML in amyloid pathology using both an acute model of neuroinflammation and the 5xFAD mouse model. The functions of PML in inflammation are well characterized and highly context and cell-type dependent [ 31 ]. Although PML has been shown to exert either anti- or pro-inflammatory effects through both nuclear and cytoplasmic mechanisms [ 67 ], its role in amyloid-induced neuroinflammation is unclear. Our data show that PML is transcriptionally upregulated by intracerebroventricular oΑβ 1−42 administration and that in turn, PML is required for the hippocampal immune response. Furthermore, PML-deficient primary microglia exhibited reduced survival, activation, and phagocytic capacity. Previously, a protective role for PML in innate immune responses, inflammation, and microglial activation has also been reported in a hypoxic–ischemic encephalopathy model [ 32 ]. Notably, during neuroinflammation, PML protected against cell death and apoptosis, an effect consistent with cellular context dependent roles in various systems, including cancer, that contrasts with its well-known pro-apoptotic, tumor-suppressive functions [ 31 , 68 – 70 ]. In Neurodegenerative diseases (NDD), the accumulation of misfolded proteins constitutes an early molecular event that triggers neuroinflammation and leads to neuronal death. A role for PML in “dissolving” toxic aggregates has been reported for mutant Poly Q containing ataxin protein [ 30 , 34 ], and TDP-43 [ 71 , 72 ]. In eNSC, we discovered that PML potentiates the autophagic and proteasomal pathways of protein degradation, thus restraining the accumulation of aggregates [ 37 ]. Although nuclear aggregates of APP-CT50 fragments together with PML and FE65 have been detected in aged human brains [ 73 ], the contribution of PML to AD pathology has not been determined. To address this gap, we first determined that PML expression declines faster in 5xFAD mice (by 2 months old ) at levels comparable to 6 and 12 months old WT mice. These results align with prior evidence describing age-related decreases in PML expression [ 35 ]. We next examined the 5xFAD amyloid pathology progression in a PML WT or knock out background. We show here that PML behaved as a protective factor against AD; in its absence, 5xFAD mice exhibited exacerbated amyloid-β plaque, with a more pronounced effect in females relative to males. Moreover, in the absence of PML the Αβ42/40 ratio was increased, pointing to the acceleration of pathology progression, and accompanied by enhanced neuronal death. Furthermore, the activation state of microglia was reduced as manifested by the diminished expression of the specific markers IBA1 and TREM2 and decreased branching complexity, which correlate with reduced detection and engulfment of amyloid-β species [ 74 , 75 ]. In contrast to microglia, astrocytes exhibited increased reactivity, in line with elevated STAT3 activation. An imbalance between microglial and astrocytic responses may further hamper the amyloid plaque clearance. In this context, PML has been shown to inhibit STAT3 activation [ 76 ], thereby restraining its neuroinflammatory and AD promoting functions [ 50 , 77 ]. To characterize the molecular pathways that are (de)regulated by PML loss in WT and 5xFAD genotypes, we performed transcriptomic analysis of hippocampi from WT, Pml-/- , 5xFAD and 5xFAD Pml-/- mice. PML loss per se resulted in significant expression changes in genes involved in diverse functional categories related to synaptic organization, structure and activity. These gene expression changes were consistent with the cognitive deficiencies of the Pml-/- mice that we report here. PML ablation in the 5xFAD background induced pronounced sex-dependent transcriptional alterations in accordance with the increased amyloid pathology observed in female 5xFAD Pml-/- mice. A sex specific role for PML has previously been reported in the context of tumorigenesis mediated by mutant P53 protein in mice [ 78 ], although a mechanistic insight is still missing. Comparing 5xFAD Pml-/- mice with the 5xFAD, we noticed the suppression of functional categories related to synaptic plasticity and immune system activation. Furthermore, differential expression analyses between females and males revealed a cluster of 50 genes that were discordantly regulated between the sexes in the 5xFAD Pml-/- genotype. Notably the human homologues of these genes correlated with human pathology [ 56 ], underscoring their potential relevance to AD. In agreement with the transcriptomic data, microglia isolated from 5xFAD Pml-/- mice exhibited a diminished capacity for antigen presentation processes, including reduced expression of MHC molecules, cytokine production, and lysosomal activity. Together, these findings indicate that PML is essential for maintaining the immunological competence of microglia. Considering that PML ablation in the 5xFAD background increased amyloid plaque deposition and compromised microglial immune responses and amyloid clearance, we evaluated the cognitive performance of Pml-/- , 5xFAD and 5xFAD Pml-/- mice, relative to the WT. All three animal groups exhibited deficits in spatial memory, manifested as reduced exploration time of a spatially displaced object in the OL task. Interestingly, Pml-/- mice exhibited deficient spatial recognition and increased impulsivity compared to the WT animals although they displayed reduced anxiety, consistent with a previous report [ 65 ]. Loss of PML in the 5xFAD mice resulted in similar defects, lowering anxiety and enhancing the impulsivity traits of the 5xFAD mice, as measured by the Open-Field test, thus impacting related behaviors. In summary, loss of PML resulted in an exacerbation of multiple aspects of AD pathophysiology, including amyloid accumulation, microglial deficiency, impairment of anti-inflammatory mechanisms, neurotoxicity along with cognitive dysfunctions. Microglia represent the principal immune cells of the central nervous system, exhibiting common transcriptional and phenotypic shifts during neurodegeneration and aging [ 79 , 80 ]. We propose that PML, through its functions in microglia, is both an effector and a marker of aging/neurodegeneration and that its loss may therefore accelerate neuronal pathology and disease progression. Thus, restoring or enhancing PML activity, or selectively targeting its downstream effectors, may represent a promising strategy to modulate neuroinflammation, improve amyloid clearance, and preserve neuronal function in Alzheimer’s disease. Abbreviations AD Alzheimer’s disease TAU Tubulin associated unit Αβ Amyloid beta APP Amyloid precursor protein GWAS Genome-wide association studies TREM2 Triggering Receptor Expresses on Myeloid Cells 2 CD33 Myeloid cell surface antigen CD33 INPP5D Inositol Polyphosphate-5-Phosphatase D PLCG2 Phospholipase C Gamma 2 BIN1 Bridging integrator 1 PICALM Phosphatidylinositol Binding Clathrin Assembly Protein CNS Central nervous system DAM Disease-associated microglia TYROBP TYRO protein tyrosine kinase-binding protein APOE Apolipoprotein E PML Promyelocytic Leukemia Protein PML-NB Promyelocytic Leukemia nuclear body STAT1 Signal transducer and activator of transcription 1 STAT6 Signal transducer and activator of transcription 6 ISG Interferon stimulated gene ALS Amyotrophic lateral sclerosis FTD Frontotemporal Dementia PGC1a peroxisome proliferator-activated receptor gamma coactivator 1-alpha PPARγ Peroxisome proliferator-activated receptor gamma 5xFAD Five familial Alzheimer's Disease mutations NSC Neural stem cells IBA-1 Ionized calcium-binding adapter molecule 1 WT Wild type CA1 Cornu Ammonis 1 CA3 Cornu Ammonis 3 DG Dentate Gyrus RSC Retrosplenial cortex MAP2 Microtubule-Associated Protein 2 RT-qPCR Reverse transcription-quantitative polymerase chain reaction Nos2 Nitric oxide synthase Cst7 Cystatin F Spp1 Secreted phosphoprotein 1 Siglec-3 Sialic acid-binding Ig-like lectin 3 FBS Fetal bovine serum ELISA Enzyme-linked immunosorbent assay TNFα Tumor necrosis factor α IL-10 Interleukin-10 STAT3 Signal transducer and activator of transcription 3 RNA-seq RNA sequencing GO Gene ontology ORA Overrepresentation analysis MHC-II Major histocompatibility complex, class II DEG Differentially expressed genes Actn4 Alpha-actinin-4 Akt3 AKT serine/threonine kinase 3 Dock1 Dedicator of cytokinesis 1 Edn3 Endothelin 3 Clasp2 Cytoplasmic linker associated protein 2 Foxp1 Forkhead box P1 Adam10 ADAM metallopeptidase domain 10 Ncam1 Neural cell adhesion molecule 1 Acot5 Acyl-CoA thioesterase 5 Amacr Alpha-Methylacyl-CoA Racemase Ide Insulin-degrading enzyme EMT Epithelial–mesenchymal transition ERK Extracellular signal-regulated kinase ROS Reactive oxygen species RNS Reactive nitrogen species CD11b Integrin alpha M (ITGAM) CD45 Cluster of differentiation 45 CD86 Cluster of differentiation 86 CD68 Cluster of differentiation 68 OL Object location OFT Open field test NDD Neurodegenerative disease TDP-43 TAR DNA-binding protein 43 FE65 Amyloid beta (A4) precursor protein-binding, family B, member 1 P53 Tumor protein p53 PDL Poly-D-lysine FBS Fetal bovine serum DMEM Dulbecco's Modified Eagle Medium ICV Intracerebroventricular RT Room temperature PBS Phosphate-buffered saline PFA Paraformaldehyde BSA Bovine serum albumin DAPI 4′,6-Diamidino-2-phenylindole TO-PRO3 Thiazole Red GFAP Glial fibrillary acidic protein ROI Region of interest MFI Mean fluorescence intensity EDTA Ethylenediaminetetraacetic acid PMSF Phenylmethylsulfonyl fluoride SDS Sodium dodecyl sulfate TBST Tris-buffered saline with Tween 20 FACs Fluorescence-activated cell sorting FSC-A Forward scatter area SSC-A Side scatter area DI Discrimination index RIN RNA integrity number ANOVA Analysis of variance IMBB Institute of Molecular Biology and Biotechnology FoRTH Foundation for Research and Technology Hellas Declarations Acknowledgements We thank the IMBB animal facility and especially D. Tsoukatou for expert technical assistance. We acknowledge the IMBB Genomics Facility staff and especially M. Lavigne for the gene expression profiling. We also thank C. Spilianakis for valuable assistance and discussions and A. K. Hatzopoulos and F. Moretto for critical reading the manuscript and helpful suggestions. Author contributions S.S. designed and performed experiments, performed data analysis and figure design, and wrote the manuscript. T.M. performed data analysis. S.P. analyzed transcriptomic data and performed functional analysis. M.P designed, performed and analyzed behavioral experiments. I.P designed behavioral experiments and performed ICV injections. E.D performed data analysis. D.T assisted with transcriptomic data submission to NCBI-GEO. C.N. supervised computational analyses of transcriptomic data. P.P supervised behavioral experiments, assisted with the interpretation of data and provided funding. J.P. designed experiments and contributed to the writing of the manuscript. A.K. designed and supervised the study, wrote the manuscript, and secured funding. All authors contributed to editing the manuscript. Funding This work was supported by funding to A.K. from the H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union –Next Generation EU (Project Number: 15511), Greece 2.0, National Recovery and Resilience Plan Flagship (program TAEDR-0535850) and intramural funds from the Institute of Molecular Biology and Biotechnology P.P acknowledges funding from the DendroLeap-Stavros Niarchos Foundation (SNF) and the H.F.R.I. under the “Theodoros Papazoglou” program (Project Number 28056) and COFLEX H.F.R.I. call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” (Project Number: 014941). Availability of data and materials All data supporting the findings of this study are available in the paper and its supplementary figures. Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Androniki Kretsovali ( [email protected] ). This study did not generate new unique reagents. RNA-seq data generated and analyzed in this study are available at GEO under accession numbers GSE313459. Reviewer access details The following secure token has been created to allow review of record GSE313459 (RNA-seq) while it remains in private status: arwhsymipjizxqp Ethics approval and consent to participate All mice experiments were approved by the FORTH animal ethics committee. Procedures used for the current studies were approved by the General Directorate of Veterinary Services, Region of Crete (license numbers: A. P. 184380, 90851) and were conducted in accordance with the standard guidelines. This work did not involve the use of material from human subjects. Consent to publication All authors have read and approved the final manuscript for publication Competing interests The authors declare no competing interests Author details 1 Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Crete, Greece. 2 Department of Biology, University of Crete, 70013 Heraklion, Greece. 3 Institute for Bio-Innovation, Biomedical Sciences Research Center "Alexander Fleming", 16672 Vari, Greece. 4 School of Medicine, University of Crete, 70013 Heraklion, Greece. *Correspondence: [email protected] ; Tel.: +30-2810-391191 References Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, et al. Defeating Alzheimer’s disease and other dementias: A priority for European science and society. Lancet Neurol. Lancet Publishing Group; 2016. pp. 455–532. https://doi.org/10.1016/S1474-4422(16)00062-4 . 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1","display":"","copyAsset":false,"role":"figure","size":1404235,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML expression changes with the progression of amyloid pathology in 5xFAD mice\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Left: Immunofluorescence staining of PML (red), MAP2 (green) in the cortex and hippocampus of 2 months old WT and 5xFAD mice. Right: PML (green) and IBA1 (magenta) in the hippocampus of 6 months old WT and 5xFAD mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(B)\u003c/strong\u003eImmunofluorescence staining of PML (green) and IBA1 (magenta) in the DG of 2, 6, 12 months old WT and 5xFAD mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(C)\u003c/strong\u003e Quantification of IBA1+ microglia density and percent area covered by PML staining in the DG. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, ** p\u0026lt;0.0041, ***p=0.0003, **** p\u0026lt;0.0001; two-way ANOVA) \u003cstrong\u003e(D)\u003c/strong\u003e Immunofluorescence staining of PML (green) and IBA1 (magenta) in the RSC of 2, 6, 12 months old WT and 5xFAD mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(E)\u003c/strong\u003eQuantification of IBA1+ microglia density and percent area covered by PML staining in the RSC. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, ***p=0.0001, **** p\u0026lt;0.0001; two-way ANOVA). Graphs show mean values ± S.D.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/511aa9c58a90d3c4bce15846.png"},{"id":100713941,"identity":"85d1a6b0-5769-4b87-9b63-562c99ba5d63","added_by":"auto","created_at":"2026-01-20 18:27:48","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":607007,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML is required for innate immune responses to amyloid oligomers in the hippocampus.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Schematic representation of intracerebroventricular injections using a stereotaxic apparatus. \u003cstrong\u003e(B)\u003c/strong\u003e Immunofluorescence staining of IBA1 (green) and Neurofilament (red) in the DG, CA1 and CA3 of WT and \u003cem\u003ePml-/-\u003c/em\u003e mice 72h post injection with Aβ oligomers. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(C)\u003c/strong\u003e Quantification of IBA1+ microglia density in the hippocampi of PBS or oΑβ\u003csub\u003e1-42 \u003c/sub\u003einjected WT and \u003cem\u003ePml-/-\u003c/em\u003e mice. 5 sections per mouse (\u003cem\u003en\u003c/em\u003e=4 animals per genotype, all males, ***p\u0026lt;0.0002, **** p\u0026lt;0.0001; two-way ANOVA). \u003cstrong\u003e(D)\u003c/strong\u003e RT-qPCR analysis for PML expression in the hippocampi of oΑβ\u003csub\u003e1-42 \u003c/sub\u003einjected WT and \u003cem\u003ePml-/-\u003c/em\u003e mice, normalized to PBS injected. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, **p=0.0058; unpaired t-test). \u003cstrong\u003e(E)\u003c/strong\u003e RT-qPCR analysis for pro-inflammatory and anti-inflammatory markers in the hippocampi of PBS or oΑβ\u003csub\u003e1-42 \u003c/sub\u003einjected WT and \u003cem\u003ePml-/-\u003c/em\u003e mice, normalized to PBS injected. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, *p\u0026lt;0.0258, **p\u0026lt;0.0032; unpaired t-test). \u003cstrong\u003e(F) \u003c/strong\u003eRT-qPCR analysis for disease associated microglia (DAM) genes in the hippocampi of oΑβ\u003csub\u003e1-42 \u003c/sub\u003einjected WT and \u003cem\u003ePml-/-\u003c/em\u003e mice, normalized to PBS injected. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, *p\u0026lt;0.0332, **p\u0026lt;0.0092; unpaired t-test). Graphs show mean values ± S.D.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/9f9be2b6e03f5ef862823d5e.png"},{"id":100714285,"identity":"651e1d41-445c-4f39-ae85-4a5d332d307f","added_by":"auto","created_at":"2026-01-20 18:32:08","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":596343,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003ePml-/-\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e microglia exhibit impaired activation, viability and cytokine responsiveness following a β-amyloid challenge.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Immunofluorescence staining of TREM2 (green) and cleaved CASPASE-3 (red) in primary WT and \u003cem\u003ePml-/-\u003c/em\u003emicroglia treated with oΑβ\u003csub\u003e1-42 \u003c/sub\u003efor 48h. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 30μm. \u003cstrong\u003e(B)\u003c/strong\u003e Quantification of TREM2 in primary microglia cultures, showing mean fluorescent intensity ± S.D (\u003cem\u003en\u003c/em\u003e=3 independent replicates, ** p=0.0055; two-way ANOVA). \u003cstrong\u003e(C)\u003c/strong\u003e CellTox quantification showing percentage of microglia death after treatment with oΑβ\u003csub\u003e1-42 \u003c/sub\u003efor 48h (\u003cem\u003en\u003c/em\u003e=3 independent replicates, *p=0.0273, **p\u0026lt;0.0051, ****p\u0026lt;0.0001; two-way ANOVA). \u003cstrong\u003e(D)\u003c/strong\u003e ELISA for TNFa\u0026nbsp; and \u003cstrong\u003e(E)\u003c/strong\u003e for IL-10 in supernatants of WT and \u003cem\u003ePml-/-\u003c/em\u003e primary microglia treated with oΑβ\u003csub\u003e1-42 \u003c/sub\u003efor 48h (\u003cem\u003en\u003c/em\u003e=4 independent replicates, **p=0.0041, ***p=0.0002, ****p\u0026lt;0.0001; two-way ANOVA). \u003cstrong\u003e(F)\u003c/strong\u003e Immunofluorescence staining of IBA1 (yellow) and fluorescent microbeads (red) in primary WT and \u003cem\u003ePml-/-\u003c/em\u003emicroglia. Representative confocal images are shown. Nuclei stained with TO-PRO3. Scale bar: 30μm. \u003cstrong\u003e(G)\u003c/strong\u003e Quantification of phagocytic index of primary WT and \u003cem\u003ePml-/-\u003c/em\u003emicroglia (\u003cem\u003en\u003c/em\u003e=3 independent replicates, ** p=0.0002, ****p\u0026lt;0.0001; unpaired t-test). Graphs show mean values ± S.D.\u003c/p\u003e","description":"","filename":"Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/81391e31ead14a55303334af.png"},{"id":100714639,"identity":"4cd40264-33a7-4ec7-a259-cfa5a220cd0a","added_by":"auto","created_at":"2026-01-20 18:37:38","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1039442,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML depletion impairs microglial recruitment to Aβ plaques and accelerates Aβ deposition in 5xFAD mice.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Immunofluorescence staining of Aβ42 (green) and IBA1 (magenta) in the DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(B)\u003c/strong\u003e Quantification of amyloid plaque area (μm\u003csup\u003e2\u003c/sup\u003e) in the DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Image analysis performed in Harmony software. (\u003cem\u003en\u003c/em\u003e=6 animals per genotype, females and males, *p\u0026lt;0.0447, ***p=0.0003, ****p\u0026lt;0.0001; two-way ANOVA). \u003cstrong\u003e(C)\u003c/strong\u003e ELISA for Ab42 production in the soluble and insoluble part of the brain in 6 months old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. (\u003cem\u003en\u003c/em\u003e=6 animals per genotype, all males, ***p=0.0005; unpaired t-test). \u003cstrong\u003e(D)\u003c/strong\u003e Quantification of IBA1+ microglia density in DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=6 animals per genotype, all males, **p=0.0011, ***p=0.0008; unpaired t-test). \u003cstrong\u003e(E)\u003c/strong\u003e Immunofluorescence staining of TREM2 (green) and IBA1 (magenta) in the DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(F)\u003c/strong\u003e Quantification of TREM2+ microglia density in DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=4 animals per genotype, all males, *p=0.0279, ***p=0.0009; unpaired t-test). \u003cstrong\u003e(G)\u003c/strong\u003e Immunofluorescence staining of MAP2 (green) and cleaved-CASPASE-3 (magenta) in the DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(H)\u003c/strong\u003e Quantification of cleaved-CASPASE-3 in DG and RSC of 6 month old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, *p\u0026lt;0.0433; unpaired t-test). Graphs show mean values ± S.D.\u003c/p\u003e","description":"","filename":"Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/993737dfa2e7526de0c9d2de.png"},{"id":100714230,"identity":"6414754f-6fb2-4a7e-b655-1c9943ef9d64","added_by":"auto","created_at":"2026-01-20 18:31:20","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":854037,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e5xFAD \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003ePml-/-\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e mice demonstrate pronounced reactive astrogliosis during amyloid pathology.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Immunofluorescence staining of Aβ42 (green) and GFAP (magenta) in the DG and RSC of 6 month old WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003emice. Representative confocal images are shown. Nuclei stained with DAPI. Scale bar: 50μm. \u003cstrong\u003e(B)\u003c/strong\u003eQuantification of GFAP+ astrocytes in DG and RSC of 6 month mice. 4 sections per mouse (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, all males, *p=0.0190, **p\u0026lt;0.0081; unpaired t-test). Graph shows mean values ± S.D. \u003cstrong\u003e(C)\u003c/strong\u003e Higher magnification of immunofluorescence staining of Aβ42 (green) and GFAP (magenta) in the DG of 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6 month old mice, showing hypertrophic astrocytes and their recruitment in amyloid plaques. Scale bar: 20μm. \u003cstrong\u003e(D)\u003c/strong\u003eProtein expression analysis of activated STAT3 (Y705) in whole brain lysates of 6 month old mice.\u003c/p\u003e","description":"","filename":"Figure5.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/6427eaa57b947e58edd31ea6.png"},{"id":100714397,"identity":"b05f367c-02b2-4a1e-9e47-ea3cb4e15d15","added_by":"auto","created_at":"2026-01-20 18:33:26","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":204168,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML deficiency reprograms the hippocampal transcriptome in a sex-dependent manner and compromises immune gene expression.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A) \u003c/strong\u003eVolcano plot of differentially expressed genes (DEGs) in hippocampi of females 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e compared with 5xFAD (\u003cem\u003en\u003c/em\u003e = 3 animals per genotype, p-adj ≤ 0.05, log2(FC) ≥ 0.58). Significantly downregulated genes are shown in blue and upregulated in red. \u003cstrong\u003e(B) \u003c/strong\u003eOverrepresentation analysis of DEGs for activated and suppressed Gene Ontology (GO) terms in females 5xFAD \u003cem\u003ePml-/- \u003c/em\u003ecompared with 5xFAD. \u003cstrong\u003e(C)\u003c/strong\u003e Volcano plot of differentially expressed genes (DEGs) in hippocampi of males 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e compared with 5xFAD (\u003cem\u003en\u003c/em\u003e = = 3 animals per genotype, p-adj ≤ 0.05, log2(FC) ≥ 0.58). Significantly downregulated genes are shown in blue and upregulated in red. \u003cstrong\u003e(D)\u003c/strong\u003eOverrepresentation analysis of DEGs for activated and suppressed Gene Ontology (GO) terms in males 5xFAD \u003cem\u003ePml-/- \u003c/em\u003ecompared with\u003cem\u003e \u003c/em\u003e5xFAD. \u003cstrong\u003e(E)\u003c/strong\u003e Scatter plot for deferentially expressed genes between 5xFAD \u003cem\u003ePml-/- \u003c/em\u003efemales and males highlighting common significant genes in both sexes. \u003cstrong\u003e(F)\u003c/strong\u003e Heatmap of z-score-transformed expression levels of genes related to immune response in female and male hippocampi of 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. (\u003cem\u003en\u003c/em\u003e = 3 females and \u003cem\u003en\u003c/em\u003e = 3 males). Each row represents a gene, and each column represents an individual mouse sample. \u003cstrong\u003e(G)\u003c/strong\u003e Heatmap of z-score-transformed expression levels of disease associated microglia (DAM) genes in female and male hippocampi of 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003emice. (\u003cem\u003en\u003c/em\u003e = 3 females and \u003cem\u003en\u003c/em\u003e = 3 males). Each row represents a gene, and each column represents an individual mouse sample.\u003c/p\u003e","description":"","filename":"Figure6.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/16f1d1c01e369f4beea93be6.png"},{"id":100714640,"identity":"14e87b4e-1da2-462f-9044-f8ebd66199aa","added_by":"auto","created_at":"2026-01-20 18:37:38","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":216633,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML promotes microglial immune competence for efficient Αβ plaque clearance.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e Flow cytometry analysis of Percoll-isolated\u003cstrong\u003e \u003c/strong\u003emicroglia from WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and\u0026nbsp; 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6 month old mice gated as CD11b\u003csup\u003e+\u003c/sup\u003eCD45\u003csup\u003eint\u003c/sup\u003e, for MHC-II and CD86 expression. Microglia represent the CD11b\u003csup\u003e+\u003c/sup\u003eCD45\u003csup\u003eint\u003c/sup\u003e population. \u003cstrong\u003e(B)\u003c/strong\u003e Quantification of MHC-II-positive populations. The graph shows the respective MFIs. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, *p\u0026lt;0.0269, ** p=0.0072; unpaired t-test). \u003cstrong\u003e(C)\u003c/strong\u003e Quantification of CD86-positive populations. The graph shows the respective MFIs. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, *p=0.0378, ** p=0.0080; unpaired t-test). \u003cstrong\u003e(D)\u003c/strong\u003e RT-qPCR analysis for pro-inflammatory and anti-inflammatory markers in FACs-sorted microglia from WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and\u0026nbsp; 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6 month old mice. (\u003cem\u003en\u003c/em\u003e=4 animals per genotype, *p=0.0277, ** p\u0026lt;0.0039; unpaired t-test). \u003cstrong\u003e(E)\u003c/strong\u003e Flow cytometry analysis of Percoll-isolated\u003cstrong\u003e \u003c/strong\u003emicroglia from WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and\u0026nbsp; 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6 month old mice, for LysoSensor DND-189 staining. Microglia represent the CD11b\u003csup\u003e+\u003c/sup\u003eCD45\u003csup\u003eint\u003c/sup\u003e population. \u003cstrong\u003e(F)\u003c/strong\u003e Quantification of LysoSensor DND-189 staining. The graph shows the respective MFIs. (\u003cem\u003en\u003c/em\u003e=3 animals per genotype, *p=0.0325, ** p=0.0065, ***p=0.0008; unpaired t-test). \u003cstrong\u003e(G)\u003c/strong\u003e Immunofluorescence staining of ThioS+ Aβ plaques (green) and CD68+ phagolysosomes (gray) in 6 months old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Aβ volume colocalized within the CD68 volume is shown as a separate channel (yellow). Representative confocal images are shown. Scale bar: 20μm. (H) Quantification of Αβ plaque volume engulfed in CD68 volume. 15 plaques per section with 4 sections per mouse were analyzed (n = 4, all males, **p=0.0016; unpaired t-test). Graphs show mean values ± S.D.\u003c/p\u003e","description":"","filename":"Figure7.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/b828094021904864e5e6aba7.png"},{"id":100714232,"identity":"0b05defa-4f1a-4051-97b1-dfaf2ad63c39","added_by":"auto","created_at":"2026-01-20 18:31:21","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":155188,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePML depletion exacerbates cognitive deficits and hyperactivity phenotypes in 5xFAD mice.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A) \u003c/strong\u003eSchematic representation of the Object Location (OL) task to assess the spatial memory of mice. \u003cstrong\u003e(B)\u003c/strong\u003e Graph showing the time spent exploring the object’s old and new locations, of WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e6 month old mice, in the OL task, (***p=0.0003, unpaired t-test). \u003cstrong\u003e(C)\u003c/strong\u003e Graph showing the discrimination index of the OL task of WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6 month old mice (\u003cem\u003en\u003c/em\u003e=13 WT, \u003cem\u003en\u003c/em\u003e=13 \u003cem\u003ePml-/-\u003c/em\u003e, \u003cem\u003en\u003c/em\u003e=14 5xFAD, \u003cem\u003en\u003c/em\u003e=12 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e, females and males, *p=0.0252, *p=0.0350, **p=0.0055; one-way ANOVA, Bonferroni’s multiple comparison test). \u003cstrong\u003e(D)\u003c/strong\u003eRepresentative traces of mouse path in Open-Field test (OFT). The blue box shows the center zone. \u003cstrong\u003e(E)\u003c/strong\u003e Graph shows quantification of time spent in center zone (%), (*p=0.0482), \u003cstrong\u003e(F)\u003c/strong\u003e distance traveled in the center zone (%), (*p=0.025, ****p\u0026lt; 0.0001), \u003cstrong\u003e(G)\u003c/strong\u003e entries in the center zone, (*p=0.0441 for \u003cem\u003ePml -/-\u003c/em\u003e vs. 5xFAD, *p=0.0121 \u0026nbsp;for 5xFAD vs. 5xFAD \u003cem\u003ePml -/-,\u003c/em\u003e **p=0023, ***p\u0026lt; 0.0006), \u003cstrong\u003e(H) \u003c/strong\u003etotal distance traveled (cm), and \u003cstrong\u003e(I)\u003c/strong\u003e mean speed (cm/s) in the OFT. Graphs show mean values ± S.D(\u003cem\u003en\u003c/em\u003e=13 WT, \u003cem\u003en\u003c/em\u003e=13 \u003cem\u003ePml-/-\u003c/em\u003e, \u003cem\u003en\u003c/em\u003e=14 5xFAD, \u003cem\u003en\u003c/em\u003e=12 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e, females and males, one-way ANOVA, Bonferroni’s multiple comparison test).\u003c/p\u003e","description":"","filename":"Figure8.png","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/ce9a6d348c511a5263a4a480.png"},{"id":100722976,"identity":"8c0c049a-1072-4710-b543-b8c74bc6126a","added_by":"auto","created_at":"2026-01-20 19:58:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":6521019,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/b2859593-1c71-4c73-8b67-cad74f26ff60.pdf"},{"id":100714041,"identity":"fb7b4445-fe93-4591-b6e1-135a0ea9133f","added_by":"auto","created_at":"2026-01-20 18:29:14","extension":"xlsx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":10358,"visible":true,"origin":"","legend":"","description":"","filename":"TableS5Discordantgenes5xFADPMLKObetweenfemalesandmales.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/71bc3b51b18d1b48e63cf0af.xlsx"},{"id":100714206,"identity":"71326775-90e5-4e23-b572-c38769528d6e","added_by":"auto","created_at":"2026-01-20 18:30:51","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":6658561,"visible":true,"origin":"","legend":"","description":"","filename":"TableS4Hippocampaltranscriptomicanalysis.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/66e3874eeba44132138d5d11.xlsx"},{"id":100714277,"identity":"9ae9006c-eb5e-4c48-b7f1-17ebdf4a3324","added_by":"auto","created_at":"2026-01-20 18:31:58","extension":"zip","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":89787522,"visible":true,"origin":"","legend":"","description":"","filename":"Spanouetal2026Supplementaryfile1.zip","url":"https://assets-eu.researchsquare.com/files/rs-8584272/v1/09d76807b36d3cae8b76eb34.zip"}],"financialInterests":"No competing interests reported.","formattedTitle":"Promyelocytic Leukemia Protein Promotes Neuroprotection in a mouse model of Alzheimer’s Disease by Modulating the Microglial Inflammatory Response ","fulltext":[{"header":"1. Background","content":"\u003cp\u003eAlzheimer\u0026rsquo;s disease (AD) is a progressive multifactorial neurodegenerative disorder, estimated to account for 60%\u0026ndash;70% of all dementia cases worldwide [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. AD pathology is characterized by the accumulation of amyloid-β (Aβ) plaques in the brain parenchyma, intra-neuronal aggregation of hyperphosphorylated-TAU protein, vascular alterations, neuroinflammation and synaptic dysfunction, ultimately leading to neuronal loss and cognitive decline [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. The \u0026ldquo;amyloid hypothesis\u0026rdquo; has long suggested that Aβ deposition drives AD pathogenesis and neurodegeneration [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Genetic evidence demonstrating that dominant mutations causing early onset AD occur in genes coding either for the amyloid precursor protein (APP) or its processing enzymes (presenilin 1 and 2), and leading to Αβ build-up, further supported this hypothesis [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Recent evidence shows that Αβ aggregation triggers glial responses, myelin damage and neurotoxicity, marking the cellular phase of AD [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. The multicellular network in the plaque niche drives neuroinflammation and the manifestation of cognitive deficiency [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Genome-wide association studies (GWAS) have identified several genetic variants as AD risk factors [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], linked to immune-related pathways and highly expressed in microglia, including TREM2, CD33, INPP5D, PLCG2, BIN1, and PICALM [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e],\u003c/p\u003e \u003cp\u003eMicroglia, the tissue-resident macrophages of the brain parenchyma, derive from erythromyeloid progenitor cells in the embryonic yolk sac and colonize the brain early during embryonic development [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. They play key roles in immune surveillance, by clearing pathogens, dead cells and protein aggregates, including Αβ plaques, thus maintaining tissue homeostasis [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Beyond immune functions, microglia are critical in brain development and circuit refinement, regulating synaptic pruning and neuronal plasticity, functions that require metabolic flexibility [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. In neuroinflammatory conditions, such as AD, microglia act as primary damage sensors of the CNS. They are recruited to Aβ plaques where they proliferate, engulf Aβ peptides through phagocytosis and secrete cytokines, including type I interferons [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e], interleukin-1β [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] and tumor necrosis factor-α [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Upon amyloid plaques recruitment, microglia adopt an activated morphology and exhibit disease-associated microglia (DAM) transcriptional signatures, that include upregulation of genes such as \u003cem\u003eTrem2\u003c/em\u003e, \u003cem\u003eTyrobp\u003c/em\u003e, and \u003cem\u003eApoe\u003c/em\u003e and downregulation of homeostatic genes [\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The transition to a neuroprotective DAM phenotype is TREM2-dependent [\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. In addition, microglia exhibit heterogeneity and are composed of subpopulations with diverse functional signatures that may account for distinct roles during AD progression [\u003cspan additionalcitationids=\"CR24\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe promyelocytic leukemia protein (PML) initially identified as a tumor suppressor, is the core organizer of PML-nuclear bodies (PML-NBs) that regulate diverse biological processes such as anti-viral responses, gene expression, stem cell renewal, apoptosis and metabolism [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In the nervous system, PML regulates brain development, circadian rhythm and synaptic plasticity [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. In the immune system, PML is induced by diverse stimuli including type I and II interferons and regulates both innate and adaptive immunity by enhancing IFN signaling through interactions with STAT1 and STAT3 [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. Further, it enhances transcription of interferon stimulated genes (ISGs) [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Interestingly, PML induction by interferon β occurs not only in immune, but also in neural cells [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. PML deficiency impairs the innate immune responses to \u003cem\u003eListeria monocytogenes\u003c/em\u003e infection in mice, causing spontaneous granulomatous lesions due to defective macrophage function [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ePML has been shown to exert neuroprotective effects during early cerebral ischemia, highlighting its role in both protection and recovery [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. PML also degrades mutant ataxin-7, alleviating neurodegeneration in spinocerebellar ataxia-7 models [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Furthermore, PML-NBs decline with age [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e] and are significantly reduced in hippocampal neurons of ALS-FTD patients [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e], suggesting that PML plays a key role in maintaining CNS homeostasis and regulating neurodegeneration mechanisms. However, the involvement of PML in AD has not been explored.\u003c/p\u003e \u003cp\u003ePreviously, we demonstrated that PML protects mouse embryonic neural stem cells (eNSC) from amyloid stress induced cell death and safeguards proteostasis by enhancing both autophagy and proteasomal functions. In addition, PML sustains eNSC mitochondrial integrity by supporting the activities of PGC-1α and the PPARγ pathways [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn this study, we addressed the role of PML in neuroinflammation and amyloid pathology in animal models of AD. By combining intracerebroventricular injections of oligomeric amyloid beta 1\u0026ndash;42 (oAβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e) in wild-type and \u003cem\u003ePml-/-\u003c/em\u003e mice, along with comparative analysis of phenotypic, behavioral and RNA sequencing studies in 5xFAD, \u003cem\u003ePml-/-\u003c/em\u003e and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, we uncovered a novel function of PML that acts as a protective factor in the context of AD pathology. Our results demonstrate that PML-deficient microglia show impaired reactivity to Aβ plaques, reduced survival, deregulated cytokine signaling and defective phagocytosis, contributing to neuronal degeneration. The ablation of PML aggravates multiple aspects of 5xFAD pathophysiology including amyloid deposition, microglial deficiency, neurotoxicity and deterioration of cognitive functions. Taken together, our findings identify PML as an essential mediator for microglial homeostasis and neuroprotective functions, in amyloid pathology.\u003c/p\u003e"},{"header":"2. Materials \u0026 Methods","content":"\u003cp\u003e \u003cb\u003eMice\u003c/b\u003e \u003c/p\u003e \u003cp\u003eC57BL/6 control (WT), 5xFAD (stock #034848-JAX) and C57BL/6-Pml\u003csup\u003etm1(PML/RARA)Ley\u003c/sup\u003e/J (\u003cem\u003ePml-/-\u003c/em\u003e) (stock #017959-JAX) mice were obtained from the Jackson Laboratory. 5xFAD mice were maintained as heterozygotes through mating them with C57BL/6 J. For 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e studies, \u003cem\u003ePml-/-\u003c/em\u003e mice were crossed to 5xFAD to obtain heterozygous 5xFAD \u003cem\u003ePml+/-\u003c/em\u003e, which were further crossed to \u003cem\u003ePml-/-\u003c/em\u003e to generate 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e littermates. Mice were genotyped using polymerase chain reaction (PCR) before experiments. Only male mice were used for functional experiments and both females and males for RNA-sequencing and amyloid deposition analysis, as described in figure legends. Mice were housed, bred and treated at the IMBB animal facility according to standard animal welfare practices. All animals were housed in appropriate cages with 12 h dark and 12 h light cycle, ambient temperature, humidity and ad libitum access to food and water. The IMBB animal facility operates in compliance with the \u0026ldquo;Animal Welfare Act\u0026rdquo; of the Greek government, using the \u0026ldquo;Guide for the Care and Use of Laboratory Animals\u0026rdquo; as its standard (Facility license: EL 91 BIObr 01, EL 91 BIOexp 02). All procedures were conducted according to Greek national legislations and institutional policies following approval by the FORTH ethical committee. Procedures used for the current studies were approved by the General Directorate of Veterinary Services, region of Crete (license numbers: 184380, 90851).\u003c/p\u003e \u003cp\u003e \u003cb\u003ePrimary microglial culture preparation\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo examine microglia viability, activation and phagocytosis, mixed glial cell cultures were established from the cortices of postnatal day 2 (P2) WT and \u003cem\u003ePml-/-\u003c/em\u003e pups, as previously described [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Briefly, cortices were dissected under sterile conditions and meninges were carefully removed. Tissues were enzymatically dissociated in 0.025% trypsin for 10min at 37\u0026deg;C, followed by gentle trituration. Cell suspensions were plated in poly-D-lysine (0.01 mg/ml PDL, Sigma-Aldrich)-coated 75cm2 culture flasks, containing DMEM (GlutaMAX\u0026trade;, 4.5 g/L d-Glucose, -Pyruvate, Gibco), supplemented with 10% FBS (Gibco) and 0.05mg/ml Gentamycin. Cultures were maintained at 37\u0026deg;C in a humidified 5% CO₂ incubator and the medium was replaced twice weekly. After 14 days \u003cem\u003ein vitro\u003c/em\u003e, when a clear, confluent layer of cells was formed, the mixed glial culture was separated into different cell populations according to their ability to attach to the flask. Microglial cells were detached from the astrocytic monolayer by orbital shaking at 200 rpm for 1 h at 37\u0026deg;C. The culture medium containing detached microglia was collected and centrifuged at 300 g for 10 min. Cell pellets were resuspended in completed DMEM and seeded at a density of 15x10\u003csup\u003e4\u003c/sup\u003e cells/ml on PDL-coated glass coverslips. Microglial cells were allowed to adhere overnight, then serum-starved (DMEM supplemented with 0.1% FBS and 1% gentamycin) for 4 h prior to Aβ treatment. Cells were subsequently treated with oAβ\u003csub\u003e1\u0026minus;\u0026thinsp;42\u003c/sub\u003e 1 and 5\u0026micro;M, for 48h to induce microglial activation or assess cell viability. Following treatment, cell culture supernatants were collected and stored at \u0026minus;\u0026thinsp;80\u0026deg;C for subsequent ELISA analysis.\u003c/p\u003e \u003cp\u003eTo examine antigen presentation functions of pathological microglia, primary microglia were isolated from whole brains of 6-month old WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Brains were rapidly excised and washed in ice cold DMEM (Gibco) supplemented with 10% FBS(Gibco) and 0.05mg/ml gentamycin. Tissues were minced and enzymatically dissociated in 1 mg/ml collagenase type IV for 40min, at 37\u0026deg;C. The enzymatic reaction was terminated by adding complete medium and cell suspensions were centrifuged at 280xg for 5 min. Cells were resuspended in fresh DMEM and dissociated using a syringe (21G needle), followed by filtration through a 40\u0026micro;m cell strainer to remove debris and aggregates. Next, myelin and cellular debris were removed by density gradient centrifugation using isotonic Percoll solutions. Briefly, cell pellets were resuspended in 3ml of 75% Percoll isotonic solution, overlaid with 5 ml 35% Percoll and topped with 1 mL of ice-cold 1xPBS. Gradients were centrifuged at 800xg for 40 min at 4\u0026deg;C, with no brake. The interphase containing microglia, was carefully collected, diluted in 1xPBS and centrifuged at 300xg for 5 min. Microglial cells were then prepared for immunostaining and flow cytometry analysis.\u003c/p\u003e \u003cp\u003e \u003cb\u003eIntracerebroventricular injections (ICV)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThree-month‐old WT and \u003cem\u003ePml-/-\u003c/em\u003e mice were anesthetized with ketamine (100 mg/kg)/xylazine (10 mg/kg) and kept on a thermal blanket in a stereotaxic frame (Stoelting). Under aseptic conditions, an incision along the midline was made to reveal the skull and craniotomies were drilled with a 005 carbide drill round (Hager \u0026amp; Meisinger GmbH) to allow bilateral injections into the lateral ventricles. Pulled long-shaft glass pipettes (Drummond) were backfilled with mineral oil before loading oAβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e (250nM) or sterile 1xPBS vehicle. Next, four microliters total volume was injected into both lateral ventricles in the following coordinates: -0.5mm anterior/posterior, -2.3mm dorsal/ventral and \u0026plusmn;\u0026thinsp;1.0mm lateral from bregma (Paxinos and Franklin's the Mouse Brain in Stereotaxic Coordinates, Fourth Edition), using an ultra-precise digital mouse stereotaxic instrument (Stoelting) at a flow rate of 0.3 \u0026micro;l/min. After completing the injections, the pipette was kept in place for 5 min and then slowly withdrawn to avoid backflow. Carprofen (5 mg/kg) was administered subcutaneously after the surgery. Upon completion of injections, mice were allowed to wake up from anesthesia. No signs of pain, distress or other behavioral changes were observed during or after the procedure. 72 h after ICV injections, mice were sacrificed and brains were harvested for immunohistochemistry and RT-qPCR analysis.\u003c/p\u003e \u003cp\u003e \u003cb\u003eImmunostaining\u003c/b\u003e \u003c/p\u003e \u003cp\u003eMice were anesthetized by intraperitoneal injection with a ketamine/xylazine mixture (1:1) and then transcardially perfused using 1xPBS. Brains were removed and separated in hemispheres. The right hemisphere was fixed in fresh 4% paraformaldehyde (PFA) for 48h at 4 C, while cortices and hippocampi from the left hemispheres were dissected and stored at \u0026minus;\u0026thinsp;80\u0026deg;C for subsequent protein and RNA analyses. Post fixation, hemispheres were washed twice with 1\u0026times; PBS, then transferred to 30% sucrose for cryoprotection for 48h at 4\u0026deg;C, embedded in 7.5% gelatin\u0026ndash;15% sucrose and rapidly frozen in a dry ice isopentane bath. 20\u0026micro;m coronal cryosections were mounted on Superfrost Plus microscope slides (Thermo) and stored at \u0026minus;\u0026thinsp;80\u0026deg;C until further use. Cryosections were permeabilized in ice-cold acetone at \u0026minus;\u0026thinsp;20\u0026deg;C for 4 min, followed by washes in 0.1% Triton X-100 in 1\u0026times; PBS for 15 min and 0.3% Triton X-100 in 1x PBS for 30 min, at room temperature (RT). Sections were blocked in 10% goat serum (Abcam) containing 0.1% Triton X-100 in 1\u0026times; PBS and 0.1% BSA for 1 hr RT and then incubated with primary antibodies (\u003cb\u003eTable S.1\u003c/b\u003e), diluted in blocking solution overnight at 4 C. The following day, slides were washed three times (15 min each) in 0.1% Triton X-100 in 1\u0026times; PBS and incubated with the appropriate fluorochrome-labeled secondary antibodies for 1 h, RT (\u003cb\u003eTable S.1\u003c/b\u003e). Sections were again washed three times for 15 min as before and cell nuclei were visualized with DAPI. For Thioflavin S staining, sections were stained with 1% Thioflavin S (ThioS) (Sigma-Aldrich) solution in 50% ethanol for 8min RT, followed by three washes with 50% ethanol for 2 min and one wash with 1xPBS. Slides were covered with Mowiol\u0026reg; 4\u0026ndash;88 mounting medium. For each condition, at least three tissue sections per animal were analyzed and three or more animals were included per genotype, as indicated in the figure legends. For immunofluorescence experiments in primary microglia, cells were fixed in 4% PFA for 20 min, permeabilized with 0.5% Triton-X in 1\u0026times; PBS for 5 min and blocked with 1% BSA for 1h, RT. After incubation with primary antibodies for 1 h at RT, secondary fluorescent antibodies were added for 1h and DAPI or TO-PRO-3 were used for nuclear counterstaining. All samples were imaged with a Leica SP8 inverted confocal laser scanning microscope, equipped with 40X and 63X oil objectives and analyzed with Fiji (ImageJ) software.\u003c/p\u003e \u003cp\u003e \u003cb\u003eConfocal imaging and analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eAll samples including brain cryosections and primary microglia were analyzed using a Leica SP8 inverted confocal laser scanning microscope, equipped with 40X and 63X oil objectives. All images were acquired with the same image acquisition settings to ensure consistency across experiments. A z-step size of 0.5 \u0026micro;m step size for \u003cem\u003ein vitro\u003c/em\u003e microglial cultures and 0.7\u0026micro;m step size for brain sections, at 1024 x 1024 pixels. For quantification analyses, identical laser intensities and z-stacks with same number of sections were used, for all conditions within experiments, using the Fiji software. Densitometric analyses were used for the quantification of PML, IBA1, glial fibrillary acidic protein (GFAP), TREM2 and cleaved-caspase-3 immunohistochemistry. Channels were split and regions of interest (ROIs) were manually designed with a free-hand tool for distinct hippocampal regions (DG, CA1, CA3) and the restrosplenial cortex (RSC). For TREM2 fluorescent intensity measurements in microglial cultures, channels were split and regions of interest (ROIs) were designed with a free-hand tool. The mean fluorescent intensity (MFI) was calculated by subtracting the MFI of a non-fluorescent area (background ROI) from the MFI of the fluorescent signal. To evaluate microglial Aβ engulfment, three-dimensional (3D) segmentations of Aβ plaques were generated for ThioS and CD68 stainings in Fiji, as described previously [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Threshold was applied and binary masks were created. Using the 3D object counter plugin in Fiji (Image J), the volume of ThioS mask (plaque volume) and the intersection of CD68 and ThioS volume (engulfed volume) was calculated for each plaque. A minimum of 15 individual plaques per brain section were analyzed from 3 sections per mouse and four animals in total were examined per genotype. Microglial morphology was analyzed using the skeletonize (2D/3D) analysis plugin in Fiji (Image J). IBA1\u0026thinsp;+\u0026thinsp;microglia were binarized, thresholded and then skeletonized to quantify the number of branches, junctions, triple and quadruple points per cell. Sholl analysis was also performed on the same cells. A radius was drawn from the center of the cell soma to the end of the cell. The first circle was positioned close to the cell body and the distance between each circle was set at 3 \u0026micro;m for all cells. The number of times that the microglial branches intercepted each circle was calculated with Fiji (ImageJ) software.\u003c/p\u003e \u003cp\u003e \u003cb\u003eWestern blot analysis (WB)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFrozen brain hemispheres were thawed on ice and mechanically homogenized using a tissue homogenizer in RIPA buffer (1% Triton, 50 mM Tris pH 7.6, 150 mM NaCl, 0.5% deoxycholate, 1mM EDTA, 1 mM PMSF, 20% glycerol) supplemented with protease phosphatase inhibitor cocktail (Complete EDTA Free; Roche Applied Science). Protein concentration was determined by Bradford assay and equal amounts of proteins (40 \u0026micro;g) were subjected to SDS/PAGE, as previously described [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Samples were then transferred to nitrocellulose membrane (Amersham Hybond), blocked with 5% BSA in TBST, followed by immunoblotting. The SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo) was used to detect signal by ChemiDoc Imaging System (Biorad). The primary and secondary antibodies used for WB are listed in \u003cb\u003eTable S.1\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eELISA\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo quantify the ratio Αβ42/40 in both soluble and insoluble fractions, brain hemispheres were used. Samples were mechanically homogenized in lysis buffer and centrifuged at 15,000rpm for 20min at 4\u0026deg;C. Supernatants were collected as soluble fractions. For the insoluble fraction, brain homogenate pellets underwent guanidine extraction. Pellets were incubated in 5 M Guanidine HCl/50 mM Tris (pH\u0026thinsp;=\u0026thinsp;8.0) solution at a 1:5 ratio, for 3hr RT and further diluted 1:5 in PBS containing protease inhibitors. Samples were then centrifuged at 15,000rpm for 20min at 4\u0026deg;C and supernatants (insoluble fraction) were stored at \u0026minus;\u0026thinsp;80\u0026deg;C until analysis. The protein concentrations of soluble and insoluble fractions were determined by Bradford assay. Both fractions were further diluted for ELISA. Human amyloid beta (1\u0026ndash;42) LEGEND MAX (Biolegend, #448707) and human amyloid beta (1\u0026ndash;40) LEGEND MAX (Biolegend, # 449007) ELISA kits were used for standard curves and assay was performed according to manufacturer\u0026rsquo;s instructions. To measure TNF-α and IL-10 levels in microglial culture supernatants, mouse TNF-α LEGEND MAX (Biolegend, #431417) and mouse IL-10 LEGEND MAX (Biolegend, #430907) ELISA kits were used for standard curves and assays were performed according to manufacturer\u0026rsquo;s instructions. Absorbance was measured at 450nm using a Berthold Apollo microplate absorbance reader.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFlow cytometry\u003c/b\u003e \u003c/p\u003e \u003cp\u003eSingle-cell suspensions obtained after Percoll density gradient centrifugation were resuspended in 100 \u0026micro;L 1xPBS/5% FBS and stained with fluorochrome-conjugated antibodies for 30 min at 4\u003csup\u003eo\u003c/sup\u003eC, in the dark. The following antibodies were used: CD11b-APC (1:100), CD45-PE (1:100), MHC-II-FITC (1:100) and CD86-PerCP (1:100). For lysosomal activity assessment cells were incubated with 1\u0026micro;M LysoSensor\u0026trade; Green DND-189 (Invitrogen, L7535) diluted in warm DMEM for 45 min at 37\u003csup\u003eo\u003c/sup\u003eC. Following staining, cells were washed with 1xPBS/5% FBS at 400g for 5min. Cell analysis was performed using a BD FACSAria\u0026trade; Fusion flow cytometer (BD Biosciences). For the gating strategy, FSC/SSC was initially applied to exclude debris and select viable cells (alive cells) and FSC-A/SSC-A was then applied to remove doublets. Microglia were identified as CD11b\u003csup\u003e+\u003c/sup\u003eCD45\u003csup\u003eint\u003c/sup\u003ecells and median fluorescence intensity (MFI) for MHC-II, CD86 and lysosensor was quantified. Data were analyzed using FlowJo software (Tree Star).\u003c/p\u003e \u003cp\u003e \u003cb\u003eIn vitro\u003c/b\u003e \u003cb\u003ephagocytosis assay\u003c/b\u003e\u003c/p\u003e \u003cp\u003ePrimary microglia from WT and Pml-/- mice were seeded on PDL coated 8mm glass coverslips at a concentration of 15x10\u003csup\u003e4\u003c/sup\u003e cells/ml and cultured in growth medium at (incubator conditions). The next day Fluoresbrite\u0026reg; BB Carboxylate Microspheres 1.75\u0026micro;m (Polysciences) 15x10\u003csup\u003e3\u003c/sup\u003e beads/ml were added in microglial cultures and incubated for 1.5, 3 and 6 hours at 37\u003csup\u003eo\u003c/sup\u003eC. To examine phagocytosis of microglial cells, coverslips were then washed with PBS to remove noninternalized beads, fixed with fresh 4% PFA for 20 min, at RT and stained for IBA1 and TO-PRO3, as previously described. Cells were imaged with a Leica SP8 inverted confocal laser scanning microscope, using a 63X oil objective and analyzed with Fiji (ImageJ) software.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCelltox assay\u003c/b\u003e \u003c/p\u003e \u003cp\u003eCelltox assay (Promega) was used to evaluate primary microglia survival according to the manufacturer's instructions. Primary microglial cells were cultured for 48 h in proliferation medium (containing 10% FBS) and subsequently treated with oligomeric amyloid-β (1\u0026ndash;42) 1 \u0026micro;Μ and 5 \u0026micro;Μ (AnaSpec), for 48 h in serum free conditions. The stock solutions of amyloid-β was dissolved in 1\u0026times; PBS according to the manufacturer's instructions. The same volume of 1\u0026times; PBS was added to the controls of each experiment. Celltox and Hoechst (1:10,000, Invitrogen) were added to each well simultaneously with the amyloid treatments. Cells were imaged with a Leica Led Inverted fluorescent microscope and analyzed with Fiji (ImageJ) software.\u003c/p\u003e \u003cp\u003e \u003cb\u003eHigh content screening image processing and analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eHippocampal sections from 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e 6month old mice were stained for amyloid plaques and were imaged on a high-content Operetta microscope (Perkin Elmer), using a 20x objective lens. For quantification and analysis, amyloid deposits were segmented based on the green fluorescence channel and selected according to defined morphological and intensity criteria. Analysis was based on the Harmony 4.1 software (Perkin Elmer). Because the software could not reliably delineate the borders of distinct brain regions, this step was performed manually. All acquired images were tiled to generate a comprehensive map of each brain section, and regional differentiation was guided by reference to the Paxinos and Franklin's mouse brain atlas (Fourth Edition). Subsequently, amyloid deposits were manually identified, while all quantitative parameters were extracted automatically using the analysis algorithm.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMouse behavioral tests\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFor all behavioral experiments, 6-month-old male mice were used and tested during the dark phase of a 12 h light/dark cycle. The object location (OL) task and open field test (OFT) were evaluated in a square open-field arena (35 \u0026times; 40 \u0026times; 35 cm) made of plexiglas, to assess spatial object memory and exploratory and anxiety-like behavior, respectively [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Before the test, mice were handled twice for four days, with 3 hours apart. After handling, the habituation lasted two days before the test, with 10 minutes of each session. During habituation, mice activity was recorded, evaluating, among others, stereotypical jumping behavior. The test began with the sample phase, in which mice were placed in the arena and allowed to explore two identical objects for 10 minutes. After a 3h retention delay, mice underwent a 2-minute choice phase. During this phase, one object from the sample phase and one novel object, were presented. The object from the sample phase was transferred to an adjacent corner of the arena during the choice phase, making its position rather than its identity, the novel element. The order of object pairs, the designated sample and novel objects within each pair and the side of the apparatus (left or right) on which the novel object was placed during the choice phase, were all counterbalanced. Novelty preference was quantified by calculating a discrimination index (DI) defined as: DI = (novel object exploration \u0026ndash; familiar object exploration)/(total object exploration). In the sample phase, both objects were equally novel, and a DI of approximately zero was expected. In the choice phase, a DI significantly greater than zero indicated novelty preference, which was interpreted as evidence of intact memory. Mice activity was recorded using an overhead video camera and (Logitech) analyzed using Smart v3.0 video tracking software (Panlab). Outliers (\u0026gt;\u0026thinsp;2 S.D from the mean) and mice that spent less than 3% of the sample phase exploring, were excluded from analyses.\u003c/p\u003e \u003cp\u003e \u003cb\u003eRNA isolation and quantitative real-time PCR (RT-qPCR)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTotal RNA was extracted from hippocampi or microglia using Nucleozol (Macherey-Nagel) according to the manufacturer\u0026rsquo;s instructions, as previously described [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. In brief, RNA concentration was determined using a NanoDrop 2000 spectrophotometer (Thermo Fischer Scientific) and 1\u0026micro;g RNA was reversely transcribed to cDNA by M-MuLV Reverse Transcriptase (NEB) supplemented with RNase inhibitor (NEB) according to the manufacturer\u0026rsquo;s protocol. Quantitative RT-PCR was carried out using Luna Universal qPCR Master Mix (NEB) and Biorad CFX96 Touch Real-Time PCR Detection System. Gene expression levels were normalized to β-Actin and F4/80 for microglial genes. Primer sequences used for qRT-PCR are presented in \u003cb\u003eTable S.2\u003c/b\u003e\u003c/p\u003e\n\u003ch3\u003e3′ RNA sequencing\u003c/h3\u003e\n\u003cp\u003eThe RNA samples were analyzed using Agilent RNA 6000 Nano kit with the bioanalyzer from Agilent. RNA samples with RNA integrity number (RIN)\u0026thinsp;\u0026gt;\u0026thinsp;7 were used for library construction using the QIAseq UPX 3\u0026rsquo; Transcriptome kit (QIAGEN 333088), starting with 10 ng of total RNA and relying on UPX tagging for samples multiplexing and UMIs for accurate gene expression as per the manufacturer\u0026rsquo;s instruction (QIAGEN Cell ID 25\u0026ndash;48). We examined the hippocampus of WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice (3 males and 3 females per group). Amplification was controlled for obtaining optimal unbiased libraries across samples (13\u0026thinsp;+\u0026thinsp;8 cycles). DNA High Sensitivity Kit for bioanalyzer was used to assess the quantity and quality of libraries, according to the manufacturer\u0026rsquo;s instructions (Agilent). Libraries were sequenced on an Illumina Nextseq 2000 (paired end with 101 cycles read 1, 12 cycles index 1 and 50 cycles read 2) at the genomics facility of IMBB-FoRTH according to the manufacturer\u0026rsquo;s instructions and the number of reads obtained for each sample after demultiplexing and the percentage of reads aligning to mm10 genome are listed in \u003cb\u003eTable S.3.\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eDifferential Expression Analysis (DEA) and Gene Ontology (GO) enrichment analysis of bulk RNA sequencing data\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe quality of the raw sequences in output FASTQ files was assessed with the FastQC software. A detailed description of the process is provided in \u003cb\u003esupplementary material 1.\u003c/b\u003e Differential gene expression analysis was performed using DESeq2. Genes were included in the analysis if they exhibited an average normalized count of at least 5 across all samples. For comparisons among the four experimental conditions (WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml -/-\u003c/em\u003e), sex was accounted for as a covariate in the model design. In addition to the combined analysis, differential expression was also assessed separately within each sex. Differentially expressed genes (DEGs) in either group of the comparison, were defined by applying the following thresholds |Log2FC| \u0026gt;0.58 and p-adj\u0026thinsp;\u0026lt;\u0026thinsp;0.05, which was considered statistically significant.\u003c/p\u003e \u003cp\u003e \u003cb\u003eStatistical analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eAll statistical analyses and graphs were performed using the GraphPad Prism 8.0.2 software. All graphs represent values as mean and the standard deviation (mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD), as indicated in the figure legends. The p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered significant difference, determined by unpaired t-test, one-way or two-way ANOVA comparisons, as indicated in the figure legends. *p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, **p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, ***p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, ****p\u0026thinsp;\u0026lt;\u0026thinsp;0.0001, n.s (not significant). Experiments were repeated at least 3 times. For animal studies, each biological replicate consisted of 3\u0026ndash;6 mouse tissues or cell cultures per genotype per time point or treatment. Quantification of fluorescence microscopy, confocal microscopy and high content images were performed using the Fiji (ImageJ) or the Harmony high-content imaging software (PerkinElmer).\u003c/p\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e3.1. PML expression changes with the progression of amyloid pathology in 5xFAD mice\u003c/h2\u003e \u003cp\u003eRecent reports indicate that PML supports the health of neural stem cell (NSC) by preserving proteostasis and mitochondrial integrity, thereby preventing the accumulation of misfolded proteins [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. To investigate whether PML plays a role in the pathology of Alzheimer\u0026rsquo;s disease (AD), we first examined the expression of PML in the 5xFAD mouse model of familial AD. 5xFAD mice exhibit robust amyloid deposits starting from 2 months, neuronal loss and gliosis accompanied by cognitive deficits starting at 4\u0026ndash;6 months [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. We stained brain cryosections from the prefrontal cortex and the hippocampus of 2 and 6-month old wild-type mice and found that PML is expressed in the nucleus of MAP2\u0026thinsp;+\u0026thinsp;neurons and in the branches of homeostatic microglia \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. Conversely, in 5xFAD mice the nuclear expression of PML was decreased at both the 2 and 6-month time points and mainly expressed in reactive microglia \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. We proceeded to examine PML expression in the course of amyloid pathology from 2 to 12 months, focusing on the hippocampus and the restrosplenial cortex (RSC). Concordantly with the increase of the glial marker IBA-1, we observed a significant reduction of PML expression in 2-month-old mice in the dentate gyrus (DG), CA1 and CA3 \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB, C \u003cb\u003eand Fig. \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003eA-D)\u003c/b\u003e, but not in the RSC \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eD, E\u003cb\u003e)\u003c/b\u003e. Furthermore, as amyloid deposits increased, we observed that PML nuclear expression declined and was enriched in microglia surrounding amyloid plaques. Interestingly, we also detected reduced PML expression in aged WT animals (6 months and 12-months), in the hippocampus but not in the RSC. Taken together, these results suggest that PML reduction is an early event in brain regions susceptible to amyloid pathology and possibly implicated in age-dependent processes.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e3.2. PML regulates neuroinflammation induced by amyloid β challenge\u003c/h2\u003e \u003cp\u003eOur initial observation that PML expression is enhanced in reactive microglia during amyloid pathology, led us to hypothesize that it could participate in molecular mechanisms regulating neuroinflammation. To investigate the contribution of PML in neuroinflammation, we established an acute neuroinflammation model in WT and \u003cem\u003ePml-/-\u003c/em\u003e mice. We administered oligomeric Aβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e (οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e) via intracerebroventricular injections (ICV) in both lateral ventricles (250nM/ ventricle, M/L 1mm, A/P -0.5mm, D/V -2.3mm) of 6\u0026ndash;8 weeks old WT and \u003cem\u003ePml-/-\u003c/em\u003e mice and studied microglia responses in the hippocampus \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. 72 hours post injection we harvested brain tissues for further examination. Densitometric analysis of immunohistochemistry data revealed that \u003cem\u003ePml-/-\u003c/em\u003e mice injected with οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e, showed decreased expression of IBA-1\u0026thinsp;+\u0026thinsp;activated microglia in distinct areas of the hippocampus (DG, CA1 and CA3), compared to οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injected WT mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eB, C\u003cb\u003e)\u003c/b\u003e. No significant microglia reactivity was observed in WT and \u003cem\u003ePml-/-\u003c/em\u003e mice, injected with PBS as negative controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eC \u003cb\u003eand Fig. S2A)\u003c/b\u003e. Furthermore, \u003cem\u003ePml-/-\u003c/em\u003e mice injected with οAβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e displayed increased neuronal apoptosis, as indicated by elevated levels of cleaved caspase-3 in MAP2\u0026thinsp;+\u0026thinsp;neurons of the hippocampus and RSC, compared to WT mice \u003cb\u003e(Fig. S2B, C)\u003c/b\u003e. These results show that impaired recruitment and activation of microglia in the vicinity of οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injection sites may contribute to increased neurotoxicity in \u003cem\u003ePml-/-\u003c/em\u003e hippocampi.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eRT-qPCR analysis revealed increased \u003cem\u003ePml\u003c/em\u003e expression in WT mice, in response to Αβ administration \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e, suggesting that PML is required for immune responses to amyloid oligomers in the hippocampus. To test this possibility, we examined the expression of genes associated with inflammation and found that οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injected \u003cem\u003ePml-/-\u003c/em\u003e mice showed decreased expression of \u003cem\u003eInterleukin-1b\u003c/em\u003e, increased \u003cem\u003eNos2\u003c/em\u003e and markedly decreased expression of anti-inflammatory genes (\u003cem\u003eInterleukin-4\u003c/em\u003e, \u003cem\u003eInterleukin-10\u003c/em\u003e, \u003cem\u003eArginase 1\u003c/em\u003e), compared to οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injected WT mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e. Furthermore, we examined how microglia respond transcriptionally to Aβ by evaluating the expression of specific disease-associated microglia (DAM) genes [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. WT hippocampi showed increased expression of DAM genes following οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injection \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eF \u003cb\u003eand Fig. S2D)\u003c/b\u003e, confirming microglial activation. Conversely, in οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injected \u003cem\u003ePml-/-\u003c/em\u003e mice, we detected significantly reduced expression of several DAM genes, including the neuroprotective factor \u003cem\u003eTrem2\u003c/em\u003e, \u003cem\u003eCst7\u003c/em\u003e and \u003cem\u003eSpp1\u003c/em\u003e \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eF \u003cb\u003eand Fig. S2D)\u003c/b\u003e. In contrast, the expression of \u003cem\u003eApoe\u003c/em\u003e \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eF\u003cb\u003e)\u003c/b\u003e and \u003cem\u003eSiglec-3\u003c/em\u003e \u003cb\u003e(Fig. S2D)\u003c/b\u003e, which associate with AD risk [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e], was increased in correlation with decreased \u003cem\u003eTrem2\u003c/em\u003e [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Collectively, these data support an essential role of PML in mediating the innate immune responses of microglia to οAβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e in the hippocampus.\u003c/p\u003e \u003cp\u003eActivated microglia undergo distinct morphological and functional transformations. Due to their pronounced plasticity, they can expand, migrate and transition from a highly ramified to an amoeboid morphology and gain enhanced phagocytic capacity, by high expression of IBA-1. In order to determine the cellular and molecular mechanisms underlying the οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e effects on the activation of microglia in the absence of PML, we established \u003cem\u003ein vitro\u003c/em\u003e primary microglial cultures derived from postnatal day 2 (P2) WT and \u003cem\u003ePml-/-\u003c/em\u003e mouse pups. We incubated WT and \u003cem\u003ePml-/-\u003c/em\u003e microglia to buffer alone or 1\u0026micro;M οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e for 48 hours and observed increased expression of TREM2 in WT as opposed to \u003cem\u003ePml-/-\u003c/em\u003e cultures relative to untreated controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eA, B\u003cb\u003e)\u003c/b\u003e. Cell viability assays (CellTox) revealed that \u003cem\u003ePml-/-\u003c/em\u003e microglia exhibited increased cell death after 48h treatment with 1 or 5 \u0026micro;M οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e, in comparison to WT microglia counterparts \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eC \u003cb\u003eand Fig. S3A)\u003c/b\u003e. Of note, in starvation relative to control conditions (1% vs 10% FBS respectively), \u003cem\u003ePml-/-\u003c/em\u003e cells showed higher baseline mortality, suggesting a pro-survival role of PML under stress conditions[\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e] \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eC \u003cb\u003eand Fig. S3A)\u003c/b\u003e. To further evaluate microglia status after treatment with οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e, supernatants from microglial cultures were used for ELISA assays to measure pro-inflammatory and anti-inflammatory cytokines. WT microglia showed robust TNF-α secretion following amyloid challenge, confirming activation, whereas \u003cem\u003ePml-/-\u003c/em\u003e microglia produced significantly lower TNF-α \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e. In addition, we examined IL-10 expression and we found that both WT and \u003cem\u003ePml-/-\u003c/em\u003e microglia showed increased IL-10 production after οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e treatment, whereas \u003cem\u003ePml-/-\u003c/em\u003e microglia displayed significantly lower IL-10 levels than WT cells \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e. These data indicate that \u003cem\u003ePml-/-\u003c/em\u003e primary microglia show impaired activation, viability and cytokine responsiveness following a β-amyloid challenge. Attenuated induction of TREM2 and imbalance between pro- and anti-inflammatory cytokines suggest an impairment in microglial immune competence, in line with \u003cem\u003ein vivo\u003c/em\u003e findings in the hippocampus \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eB, C\u003cb\u003e).\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eA key physiological function of microglia \u003cem\u003ein vivo\u003c/em\u003e is the clearance by phagocytosis of apoptotic cells, cellular debris and pathogenic aggregates like amyloid peptides [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. To determine whether PML influences this function, we examined the phagocytic capacity of WT and \u003cem\u003ePml-/-\u003c/em\u003e microglia using fluorescent latex beads. Cells were incubated with microspheres for 1.5, 3 and 6 hours and bead uptake was assessed by confocal microscopy. \u003cem\u003ePml-/-\u003c/em\u003e microglia exhibited reduced phagocytic activity at 3h and 6h, compared to WT cells \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003eF, G\u003cb\u003e)\u003c/b\u003e, supporting a role of PML in the phagocytic-clearance capacity of microglia. Collectively, these data suggest that PML is critical for maintaining microglial homeostasis and reactivity under amyloid stress, with its deficiency potentially worsening amyloid pathology and neuroinflammation.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e3.3. PML loss exacerbates amyloid deposition in 5xFAD mice\u003c/h2\u003e \u003cp\u003eTo investigate how PML influences Aβ pathology and Alzheimer\u0026rsquo;s disease related phenotypes, we crossed \u003cem\u003ePml-/-\u003c/em\u003e mice and 5xFAD mice to generate 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, which were born at the expected Mendelian frequency and presented no developmental defects. RT-qPCR analysis confirmed \u003cem\u003ePml\u003c/em\u003e expression in WT and 5xFAD mice and its absence in \u003cem\u003ePml-/-\u003c/em\u003e and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e littermates \u003cb\u003e(Fig. S4A)\u003c/b\u003e. At 6 months of age, high content microscopy analysis revealed that 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice exhibited significantly augmented amyloid burden characterized by increased amyloid plaque area in the hippocampus and restrosplenial cortex (RSC), compared to 5xFAD controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eA, B \u003cb\u003eand Fig. S4B, C)\u003c/b\u003e, indicating that loss of PML exacerbates Aβ deposition in the 5xFAD background. Interestingly, we found a higher Aβ plaque deposition in females that was even more pronounced in the 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eB, \u003cb\u003eFig. S4C)\u003c/b\u003e, suggesting sex-specific effects of PML function.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eSoluble Aβ oligomers are highly neurotoxic and tend to aggregate into fibrils and finally compact plaques [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. To determine whether PML influences soluble and insoluble forms of Aβ, we quantified Aβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e in the soluble (phosphate buffered saline (PBS)-extracted) and insoluble (guanidine -extracted) brain fractions using ELISA. Consistent with the increased amyloid burden observed in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, we detected increased ratio of Αβ\u003csub\u003e42/40\u003c/sub\u003e in both brain fractions \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eC\u003cb\u003e)\u003c/b\u003e, which is strongly associated with early onset and faster progression of pathology, aggravating neurodegeneration [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. These data suggest that PML acts to limit Aβ aggregation in 5xFAD mice.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.4. 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice exhibit altered glial dynamics in the hippocampus\u003c/h2\u003e \u003cp\u003eGiven that PML expression is enriched in reactive microglia in the 5xFAD hippocampus \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e and that \u003cem\u003ePml-/-\u003c/em\u003e microglia exhibit weak activation and phagocytosis both \u003cem\u003ein vivo\u003c/em\u003e \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eB, C, E, F\u003cb\u003e)\u003c/b\u003e and \u003cem\u003ein vitro\u003c/em\u003e \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e, we investigated how PML loss affects microglial activation in Aβ-driven pathology. Immunohistochemistry analysis in 6-month old 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice revealed reduced IBA1-positive microglia density in the hippocampus and the RSC \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eD \u003cb\u003eand Fig. S4D)\u003c/b\u003e and decreased TREM2 expression compared to 5xFAD controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eE, F \u003cb\u003eand Fig. S4E, F)\u003c/b\u003e. In addition, we assessed microglial morphology in the hippocampus by performing skeletal and Sholl analyses[\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e] on IBA1-stained sections. 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e microglia displayed a reduction in the number of branches, junctions, triple and quadruple junctions, compared to 5xFAD controls \u003cb\u003e(Fig. S4G)\u003c/b\u003e. Sholl analysis further confirmed a significant decrease in the number of intersections in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e microglia \u003cb\u003e(Fig. S4H)\u003c/b\u003e. These changes in microglial morphology indicate diminished branching complexity and a transition toward a less reactive or dystrophic state, consistent with the overall attenuation of microglial reactivity observed in PML-deficient 5xFAD mice. Moreover, PML-deficient 5xFAD mice showed increased death of MAP2\u0026thinsp;+\u0026thinsp;neurons in DG and RSC and to a lesser extent in CA1 and CA3 regions as shown by elevated cleaved caspase-3 expression \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eG, H \u003cb\u003eand Fig. S4I, J)\u003c/b\u003e. Our findings indicate that PML deficiency impairs microglial activation and recruitment to Aβ plaques and accelerates Aβ deposition, thereby contributing to neuronal degeneration.\u003c/p\u003e \u003cp\u003eAstrocytes, as key regulators of brain architecture and homeostasis, play crucial roles in the progression of neurological diseases. In models of AD, reactive astrocytes are associated with neuroinflammation, brain damage and cognitive decline [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. In a previous study, we demonstrated that \u003cem\u003ePml-/-\u003c/em\u003e hippocampi exhibit significantly increased presence of astrocytes and enhanced activation of the transcription factor STAT3, compared to WT controls [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. To further investigate how PML loss influences astrocytic responses during amyloid pathology, we performed immunohistochemistry analyses in 6-month-old 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. We detected pronounced reactive astrogliosis, particularly in areas close to amyloid plaque deposits, with 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice exhibiting a higher density of GFAP-positive astrocytes in the hippocampal areas CA1, CA3, and the RSC compared to 5xFAD controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e5\u003c/span\u003eA, B, \u003cb\u003eFig. S5A, B)\u003c/b\u003e. In the DG, astrocyte reactivity was elevated but showed comparable density between 5xFAD genotypes \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e5\u003c/span\u003eA, B\u003cb\u003e)\u003c/b\u003e. As shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e5\u003c/span\u003eC hypertrophic GFAP⁺ astrocytes cluster around amyloid plaques in both 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. However, in the absence of PML, astrocytes were positioned in closer proximity to plaques, extending their processes toward amyloid deposits, likely forming a physical barrier against microglial access and phagocytosis. Consistent with these observations, protein analysis of whole-brain lysates indicated increased levels of activated STAT3 in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e5\u003c/span\u003eD, \u003cb\u003eFig. S5C)\u003c/b\u003e, a proinflammatory cytokine inducer connected to Aβ production[\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e] and a hallmark of astrogliosis [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Together, these findings suggest that PML loss enhances astrocyte reactivity (reactive astrogliosis) and STAT3 activation during amyloid pathology, potentially creating an astroglial barrier that interferes with microglial access to Aβ plaques.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.5. PML loss reprograms the hippocampal transcriptome in a sex-dependent manner\u003c/h2\u003e \u003cp\u003eTo further delineate the effects of PML deficiency on amyloid pathology at the molecular level, we performed RNAseq analysis of hippocampi, isolated from 6-month old WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. We compared the transcriptomes of \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD, 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e with their relative controls, as shown in \u003cb\u003eFig. S6A.\u003c/b\u003e Given that Alzheimer\u0026rsquo;s disease exhibits pronounced sex differences in progression and transcriptional signatures [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e], we also analyzed male and female samples separately. We performed functional analysis for deregulated gene ontology (GO) pathways, employing the over-representation analysis (ORA). Initially, we compared the transcriptome of \u003cem\u003ePml-/-\u003c/em\u003e hippocampi to the WT (\u003cb\u003eFig. S6B-E\u003c/b\u003e) and detected downregulation of pathways associated with synapse organization in both sexes and circadian rhythm in males. In the upregulated categories, we found axonogenesis, regulation of neurogenesis and synapse organization indicating that ablation of PML may induce re-wiring of the neuronal system \u003cb\u003e(Fig. S6C, E)\u003c/b\u003e. Moreover, in males, PML loss caused the upregulation of functions related to cell death in response to stresses \u003cb\u003e(Fig. S6E)\u003c/b\u003e [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. These findings suggest a sex-specific bias in the absence of PML.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003ePathway analysis in 5xFAD compared to WT animals \u003cb\u003e(Fig. S6F-I)\u003c/b\u003e, showed downregulation of pathways associated with mitochondria functions in females \u003cb\u003e(Fig. S6G)\u003c/b\u003e while axonogenesis, dendrite development, learning and memory in males \u003cb\u003e(Fig. S6I)\u003c/b\u003e. Upregulated pathways related to activation of immune response, microglial activation, cell migration, gliosis, T cell activation and MHC-II antigen processing and presentation \u003cb\u003e(Fig. S6G, I)\u003c/b\u003e, in agreement with previous studies [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e females compared with 5xFAD controls, we identified 233 differential expressed genes (DEGs), consisting of 171 downregulated and 62 upregulated genes (padj\u0026thinsp;\u0026lt;\u0026thinsp;0.05) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eA \u003cb\u003eand Table S4)\u003c/b\u003e whereas males displayed 64 DEGs \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eC\u003cb\u003e)\u003c/b\u003e, consisting of 5 downregulated and 59 upregulated genes (padj\u0026thinsp;\u0026lt;\u0026thinsp;0.05) \u003cb\u003e(Table S4)\u003c/b\u003e. Functional analyses for enriched pathways in females, revealed the suppression of ameboidal cell migration pathway that is important for microglia in AD, including \u003cem\u003eActn4\u003c/em\u003e, \u003cem\u003eAkt3\u003c/em\u003e, \u003cem\u003eDock1\u003c/em\u003e and \u003cem\u003eEdn3\u003c/em\u003e [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. In addition, axonogenesis, dendrite development and synapse organization pathways including \u003cem\u003eClasp2\u003c/em\u003e, \u003cem\u003eFoxp1\u003c/em\u003e, \u003cem\u003eAdam10\u003c/em\u003e, \u003cem\u003eNcam1\u003c/em\u003e and \u003cem\u003ePicalm\u003c/em\u003e, were suppressed \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eB\u003cb\u003e)\u003c/b\u003e. The same analysis for the males showed the downregulation of peroxisomal functions \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e including \u003cem\u003eAcot5\u003c/em\u003e, \u003cem\u003eAmacr\u003c/em\u003e and \u003cem\u003eIde\u003c/em\u003e that encode for proteins that regulate fatty acid and glucose homeostasis and are emerging AD pathology modulators [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. Furthermore, pathways related to metabolic processes, cell movement, DNA repair and immunoglobulin mediated immune-response were also downregulated \u003cb\u003e(Fig. S6J)\u003c/b\u003e. In females, upregulated pathways included protein degradation and response to starvation, probably reflecting imminent need for aggregate clearance \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eB\u003cb\u003e)\u003c/b\u003e. In males, chromatin remodeling, NOTCH signaling and EMT transition, were upregulated \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e. We directly compared deregulated genes between females and males, in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e vs 5xFAD \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e. In addition to identifying uniquely deregulated genes of either mouse genetic background in males (blue) and females (red), we also detected a class of commonly deregulated genes (Violet) that are downregulated in females and upregulated in males \u003cb\u003e(Table S5)\u003c/b\u003e, pointing to PML-dependent sex differences. These 50 genes are functionally related with the organization of synapses, axon guidance, mRNA processing, ERK and NOTCH pathways (\u003cb\u003eFig. S6K\u003c/b\u003e). We have found that the human homologues of these genes in scRNA-seq datasets from control and AD patients [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e], are mainly expressed in excitatory and to lesser extend in inhibitory neurons \u003cb\u003e(Fig. S6L)\u003c/b\u003e. Moreover the majority of these genes are highly expressed in low amyloid burden human samples \u003cb\u003e(Fig. S6M)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eGiven that PML is important for regulating functions in microglia, the brain\u0026rsquo;s resident immune cells, we proceeded to investigate changes in immune response related genes. Several genes associated with activation of immune responses, including antigen presentation, were downregulated in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice in both females and males \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eF\u003cb\u003e)\u003c/b\u003e. Moreover, we examined genes upregulated in disease associated microglia (DAM) relative to homeostatic microglia [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. As depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eG, the activation of many DAM genes was restrained in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, suggesting compromised microglial activation. Microglial cell activation, by either infection, trauma, or protein aggregates like amyloid-β, results in the production of reactive oxygen species (ROS) and reactive nitrogen species (RNS) as part of their defense mechanisms. As shown in \u003cb\u003eFig. S6N\u003c/b\u003e we detected reduced expression of genes related with antioxidant activity. Importantly, both female and male 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice demonstrated decreased expression of genes regulating synaptic plasticity \u003cb\u003e(Fig. S6O)\u003c/b\u003e, in accordance with increased neuronal death \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003eG, H\u003cb\u003e)\u003c/b\u003e. Collectively, these findings suggest that PML deficiency alters the hippocampal transcriptome in a sex-dependent manner and compromises the immune and synaptic gene expression patterns, among others.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.6. PML promotes microglial immune competence and efficient amyloid plaque clearance\u003c/h2\u003e \u003cp\u003eGiven that the functional and gene expression findings highlighted microglia as major PML target cells \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003e, \u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eG\u003cb\u003e)\u003c/b\u003e, we hypothesized that the increased amyloid burden in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice might result from defective ability of microglial to mobilize an efficient DAM or a more general immune response \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig12\" class=\"InternalRef\"\u003e6\u003c/span\u003eF, G\u003cb\u003e)\u003c/b\u003e. To test this hypothesis, we isolated and immunophenotyped primary microglia from 6-month old WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. Flow cytometry analysis of CD11b\u003csup\u003e+\u003c/sup\u003e CD45\u003csup\u003eint\u003c/sup\u003e microglial populations revealed increased expression of MHC-II and CD86 surface markers, members of the disease-associated microglia (DAM) phenotype that are both connected to antigen presentation and activation of T lymphocytes, in 5xFAD mice, as expected \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eA-C \u003cb\u003eand Fig. S7A)\u003c/b\u003e. In contrast, 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e microglia showed markedly reduced levels of both markers, despite exacerbated amyloid deposition and neurotoxicity compared with 5xFAD controls \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eA-C\u003cb\u003e)\u003c/b\u003e. Microglial cells from WT and \u003cem\u003ePml-/-\u003c/em\u003e brains showed no significant expression of MHC-II and CD86. Furthermore, RT-qPCR analysis of FACs-sorted microglia from 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e brains, confirmed decreased gene expression of anti-inflammatory cytokines in the absence of \u003cem\u003ePml\u003c/em\u003e \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e, supporting the transcriptomics data, indicating that \u003cem\u003ePml-/-\u003c/em\u003e microglial cells are defective in both innate and adaptive immune responses.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe degree of lysosomal acidification and the activity of its enzymes are critical for breaking down endogenous cellular waste as well as ingested proteins, such as amyloid deposits [\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Consequently, lysosomal efficiency directly influences microglial function and shapes their activation state during neuroinflammation. Microglia depend on proper lysosomal acidification and functions to facilitate the cellular degradation and recycling system [\u003cspan additionalcitationids=\"CR58\" citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e] for both phagocytosis and antigen peptide processing. Lysosomal acidification and its enzyme activities are critical for degradation of endogenous cellular waste as well as ingested proteins, such as amyloid peptides [\u003cspan additionalcitationids=\"CR60\" citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e], thus influencing microglial function and determining their activation in neuroinflammation. Therefore, we tested whether lysosomal activity correlates with impaired microglia phagocytosis in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. To analyze lysosomal acidification, we performed flow cytometry experiments in primary microglia from 6-month old mice (WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD, 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e), employing lysosensor-DND189, a dye that is sensitive to pH alteration in lysosomes. Lysosensor assays revealed increased lysosomal acidification in 5xFAD microglia, in line with increased MHC-II expression and microglia activation, whereas 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e microglia exhibited a significant reduction in lysosomal activity \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eE, F\u003cb\u003e)\u003c/b\u003e. To evaluate the role of the above in amyloid clearance by microglia, we examined the co-localization of β-amyloid and lysosomes, visualized by Thioflavin-S and anti-CD68 phagolysosomal staining respectively, in hippocampal sections of 5xFAD and 5xFAD \u003cem\u003ePml -/- mice.\u003c/em\u003e 5xFAD \u003cem\u003ePml-\u003c/em\u003edepleted microglia showed a significant reduction in the volume of ThioS\u0026thinsp;+\u0026thinsp;plaques internalized within CD68\u0026thinsp;+\u0026thinsp;phagosomes compared to WTs \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eG, H\u003cb\u003e)\u003c/b\u003e. Also, plaque-associated CD68 staining was lower in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, indicating reduced microglial Aβ engulfment \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig13\" class=\"InternalRef\"\u003e7\u003c/span\u003eG\u003cb\u003e)\u003c/b\u003e. Together, these findings demonstrate that PML deficiency disrupted key microglial immune and protein degradation pathways, leading to reduced antigen presentation, impaired lysosomal acidification and defective Aβ clearance. This dysfunction likely underlies the exacerbated amyloid burden and neurodegeneration observed in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.7. PML ablation exacerbates the cognitive deficits of 5xFAD mice\u003c/h2\u003e \u003cp\u003e5xFAD mice typically develop memory impairments around 4\u0026ndash;5 months of age when amyloid plaques and neuroinflammation are present [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. To evaluate the impact of \u003cem\u003ePml\u003c/em\u003e loss-of-function on cognitive performance, we conducted the object location task (OL) which is a hippocampus-dependent spatial object memory test, in 6-month-old male and female mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. Control mice normally spend more time exploring the relocated object, indicating intact spatial memory [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. WT mice spent more time exploring the newly located object, compared to other genotypes \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eB, \u003cb\u003eand Fig. S8A-C)\u003c/b\u003e. Object location memory was impaired across sexes in \u003cem\u003ePml-/-\u003c/em\u003e and both 5xFAD genotypes (5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e), indicating deficits in spatial recognition performance \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eC\u003cb\u003e)\u003c/b\u003e. Importantly, \u003cem\u003ePml-/-\u003c/em\u003e showed a reduced discrimination index compared to WT controls. Both 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice performed worse than WT animals \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eC\u003cb\u003e)\u003c/b\u003e, in line with previous reports of OL memory disruption in AD models [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eAβ pathology is known to reduce exploratory behavior and induce anxiety-like and hyperactive phenotypes in transgenic models of AD [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e]. To examine the effect of PML deficiency on these behaviors, we performed the open field test (OFT) in WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eD\u003cb\u003e)\u003c/b\u003e. During the 10 min free exploration period, \u003cem\u003ePml-/-\u003c/em\u003e mice exhibited increased time spent in the center zone \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e, increased distance in the center zone \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eF\u003cb\u003e)\u003c/b\u003e and increased number of entries to the center zone \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eG\u003cb\u003e)\u003c/b\u003e, relative to WT controls reflecting decreased anxiety and thigmotaxis, in agreement with previous studies [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e]. Similarly, 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice exhibited increased distance in the center zone \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eF\u003cb\u003e)\u003c/b\u003e and higher number of entries to the center zone \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eG\u003cb\u003e)\u003c/b\u003e relative to WT controls, albeit the time spent in the center zone was not significantly different from WT \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e. On the contrary, the number of entries in the center zone was substantially lower in the 5xFAD compared to \u003cem\u003ePml-/-\u003c/em\u003e and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e groups. Importantly, the total distance traveled and average speed were similar among all groups suggesting that they all bear intact locomotor activity \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig15\" class=\"InternalRef\"\u003e8\u003c/span\u003eH, I\u003cb\u003e)\u003c/b\u003e. These findings suggest that 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e exhibit a similar phenotype of reduced anxiety and impulsivity as the \u003cem\u003ePml-/-\u003c/em\u003e animals. This interpretation is corroborated by the number of animals exhibiting stereotypical jumping behavior [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e], shown in \u003cb\u003e(Fig. S8D and Movie S1\u003c/b\u003e). Both \u003cem\u003ePml-/-\u003c/em\u003e and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e groups have a much larger percentage of animals that exhibit such jumping behaviors compared to WT and 5xFAD groups. Together, these findings suggest that PML depletion increases the impulsivity phenotype in the context of Αβ pathology in the 5xFAD background and contributes to hippocampus-dependent behavioral deficits, suggesting an important role for PML in preserving cognitive function during amyloid pathology\u003c/p\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eAlzheimer\u0026rsquo;s disease is characterized by the buildup of toxic amyloid-β (Αβ) and TAU protein, which trigger chronic neuroinflammation and progressive neuronal loss, ultimately leading to learning and memory impairments in patients. Understanding the molecular, cellular and physiological pathways underlying each stage of disease progression is therefore essential for developing effective therapeutic strategies. Previous work from our lab, has shown that embryonic neural stem cells (eNSC) isolated from \u003cem\u003ePml-/-\u003c/em\u003e mice are more vulnerable to amyloid-β toxicity than control cells and display proteostatic and mitochondrial defects reminiscent of neurodegeneration [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. In this study, we examined the involvement of PML in amyloid pathology using both an acute model of neuroinflammation and the 5xFAD mouse model.\u003c/p\u003e \u003cp\u003eThe functions of PML in inflammation are well characterized and highly context and cell-type dependent [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Although PML has been shown to exert either anti- or pro-inflammatory effects through both nuclear and cytoplasmic mechanisms [\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e], its role in amyloid-induced neuroinflammation is unclear. Our data show that PML is transcriptionally upregulated by intracerebroventricular oΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e administration and that in turn, PML is required for the hippocampal immune response. Furthermore, PML-deficient primary microglia exhibited reduced survival, activation, and phagocytic capacity. Previously, a protective role for PML in innate immune responses, inflammation, and microglial activation has also been reported in a hypoxic\u0026ndash;ischemic encephalopathy model [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Notably, during neuroinflammation, PML protected against cell death and apoptosis, an effect consistent with cellular context dependent roles in various systems, including cancer, that contrasts with its well-known pro-apoptotic, tumor-suppressive functions [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan additionalcitationids=\"CR69\" citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e70\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn Neurodegenerative diseases (NDD), the accumulation of misfolded proteins constitutes an early molecular event that triggers neuroinflammation and leads to neuronal death. A role for PML in \u0026ldquo;dissolving\u0026rdquo; toxic aggregates has been reported for mutant Poly Q containing ataxin protein [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e], and TDP-43 [\u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e71\u003c/span\u003e, \u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e72\u003c/span\u003e]. In eNSC, we discovered that PML potentiates the autophagic and proteasomal pathways of protein degradation, thus restraining the accumulation of aggregates [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Although nuclear aggregates of APP-CT50 fragments together with PML and FE65 have been detected in aged human brains [\u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e73\u003c/span\u003e], the contribution of PML to AD pathology has not been determined.\u003c/p\u003e \u003cp\u003eTo address this gap, we first determined that PML expression declines faster in 5xFAD mice (by 2 months old ) at levels comparable to 6 and 12 months old WT mice. These results align with prior evidence describing age-related decreases in PML expression [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. We next examined the 5xFAD amyloid pathology progression in a PML WT or knock out background.\u003c/p\u003e \u003cp\u003eWe show here that PML behaved as a protective factor against AD; in its absence, 5xFAD mice exhibited exacerbated amyloid-β plaque, with a more pronounced effect in females relative to males. Moreover, in the absence of PML the Αβ42/40 ratio was increased, pointing to the acceleration of pathology progression, and accompanied by enhanced neuronal death. Furthermore, the activation state of microglia was reduced as manifested by the diminished expression of the specific markers IBA1 and TREM2 and decreased branching complexity, which correlate with reduced detection and engulfment of amyloid-β species [\u003cspan citationid=\"CR74\" class=\"CitationRef\"\u003e74\u003c/span\u003e, \u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e75\u003c/span\u003e]. In contrast to microglia, astrocytes exhibited increased reactivity, in line with elevated STAT3 activation. An imbalance between microglial and astrocytic responses may further hamper the amyloid plaque clearance. In this context, PML has been shown to inhibit STAT3 activation [\u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e76\u003c/span\u003e], thereby restraining its neuroinflammatory and AD promoting functions [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e, \u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e77\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTo characterize the molecular pathways that are (de)regulated by PML loss in WT and 5xFAD genotypes, we performed transcriptomic analysis of hippocampi from WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. PML loss per se resulted in significant expression changes in genes involved in diverse functional categories related to synaptic organization, structure and activity. These gene expression changes were consistent with the cognitive deficiencies of the \u003cem\u003ePml-/-\u003c/em\u003e mice that we report here.\u003c/p\u003e \u003cp\u003ePML ablation in the 5xFAD background induced pronounced sex-dependent transcriptional alterations in accordance with the increased amyloid pathology observed in female 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice. A sex specific role for PML has previously been reported in the context of tumorigenesis mediated by mutant P53 protein in mice [\u003cspan citationid=\"CR78\" class=\"CitationRef\"\u003e78\u003c/span\u003e], although a mechanistic insight is still missing. Comparing 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice with the 5xFAD, we noticed the suppression of functional categories related to synaptic plasticity and immune system activation. Furthermore, differential expression analyses between females and males revealed a cluster of 50 genes that were discordantly regulated between the sexes in the 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e genotype. Notably the human homologues of these genes correlated with human pathology [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e], underscoring their potential relevance to AD.\u003c/p\u003e \u003cp\u003eIn agreement with the transcriptomic data, microglia isolated from 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice exhibited a diminished capacity for antigen presentation processes, including reduced expression of MHC molecules, cytokine production, and lysosomal activity. Together, these findings indicate that PML is essential for maintaining the immunological competence of microglia.\u003c/p\u003e \u003cp\u003eConsidering that PML ablation in the 5xFAD background increased amyloid plaque deposition and compromised microglial immune responses and amyloid clearance, we evaluated the cognitive performance of \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice, relative to the WT. All three animal groups exhibited deficits in spatial memory, manifested as reduced exploration time of a spatially displaced object in the OL task.\u003c/p\u003e \u003cp\u003eInterestingly, \u003cem\u003ePml-/-\u003c/em\u003e mice exhibited deficient spatial recognition and increased impulsivity compared to the WT animals although they displayed reduced anxiety, consistent with a previous report [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e]. Loss of PML in the 5xFAD mice resulted in similar defects, lowering anxiety and enhancing the impulsivity traits of the 5xFAD mice, as measured by the Open-Field test, thus impacting related behaviors.\u003c/p\u003e \u003cp\u003eIn summary, loss of PML resulted in an exacerbation of multiple aspects of AD pathophysiology, including amyloid accumulation, microglial deficiency, impairment of anti-inflammatory mechanisms, neurotoxicity along with cognitive dysfunctions. Microglia represent the principal immune cells of the central nervous system, exhibiting common transcriptional and phenotypic shifts during neurodegeneration and aging [\u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e79\u003c/span\u003e, \u003cspan citationid=\"CR80\" class=\"CitationRef\"\u003e80\u003c/span\u003e]. We propose that PML, through its functions in microglia, is both an effector and a marker of aging/neurodegeneration and that its loss may therefore accelerate neuronal pathology and disease progression. Thus, restoring or enhancing PML activity, or selectively targeting its downstream effectors, may represent a promising strategy to modulate neuroinflammation, improve amyloid clearance, and preserve neuronal function in Alzheimer\u0026rsquo;s disease.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAlzheimer\u0026rsquo;s disease\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTAU\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTubulin associated unit\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eΑβ\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAmyloid beta\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAPP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAmyloid precursor protein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eGWAS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eGenome-wide association studies\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTREM2\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTriggering Receptor Expresses on Myeloid Cells 2\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCD33\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMyeloid cell surface antigen CD33\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eINPP5D\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInositol Polyphosphate-5-Phosphatase D\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePLCG2\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePhospholipase C Gamma 2\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eBIN1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eBridging integrator 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePICALM\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePhosphatidylinositol Binding Clathrin Assembly Protein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCNS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCentral nervous system\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDAM\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDisease-associated microglia\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTYROBP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTYRO protein tyrosine kinase-binding protein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAPOE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eApolipoprotein E\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePML\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePromyelocytic Leukemia Protein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePML-NB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePromyelocytic Leukemia nuclear body\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSTAT1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSignal transducer and activator of transcription 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSTAT6\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSignal transducer and activator of transcription 6\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eISG\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInterferon stimulated gene\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eALS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAmyotrophic lateral sclerosis\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFTD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFrontotemporal Dementia\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePGC1a\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eperoxisome proliferator-activated receptor gamma coactivator 1-alpha\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePPARγ\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePeroxisome proliferator-activated receptor gamma\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e5xFAD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFive familial Alzheimer's Disease mutations\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNSC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNeural stem cells\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eIBA-1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eIonized calcium-binding adapter molecule 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eWT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eWild type\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCA1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCornu Ammonis 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCA3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCornu Ammonis 3\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDG\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDentate Gyrus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRSC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRetrosplenial cortex\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMAP2\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMicrotubule-Associated Protein 2\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRT-qPCR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eReverse transcription-quantitative polymerase chain reaction\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNos2\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNitric oxide synthase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCst7\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCystatin F\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSpp1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSecreted phosphoprotein 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSiglec-3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSialic acid-binding Ig-like lectin 3\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFBS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFetal bovine serum\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eELISA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEnzyme-linked immunosorbent assay\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTNFα\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTumor necrosis factor α\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eIL-10\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInterleukin-10\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSTAT3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSignal transducer and activator of transcription 3\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRNA-seq\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRNA sequencing\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eGO\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eGene ontology\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eORA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eOverrepresentation analysis\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMHC-II\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMajor histocompatibility complex, class II\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDEG\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDifferentially expressed genes\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eActn4\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAlpha-actinin-4\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAkt3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAKT serine/threonine kinase 3\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDock1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDedicator of cytokinesis 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eEdn3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEndothelin 3\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eClasp2\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCytoplasmic linker associated protein 2\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFoxp1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eForkhead box P1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAdam10\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eADAM metallopeptidase domain 10\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNcam1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNeural cell adhesion molecule 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAcot5\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAcyl-CoA thioesterase 5\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAmacr\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAlpha-Methylacyl-CoA Racemase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eIde\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInsulin-degrading enzyme\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eEMT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEpithelial\u0026ndash;mesenchymal transition\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eERK\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eExtracellular signal-regulated kinase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eROS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eReactive oxygen species\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRNS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eReactive nitrogen species\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCD11b\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eIntegrin alpha M (ITGAM)\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCD45\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCluster of differentiation 45\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCD86\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCluster of differentiation 86\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCD68\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCluster of differentiation 68\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eOL\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eObject location\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eOFT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eOpen field test\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNDD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNeurodegenerative disease\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTDP-43\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTAR DNA-binding protein 43\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFE65\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAmyloid beta (A4) precursor protein-binding, family B, member 1\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eP53\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTumor protein p53\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePDL\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePoly-D-lysine\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFBS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFetal bovine serum\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDMEM\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDulbecco's Modified Eagle Medium\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eICV\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eIntracerebroventricular\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRoom temperature\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePBS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePhosphate-buffered saline\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePFA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eParaformaldehyde\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eBSA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eBovine serum albumin\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDAPI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003e4\u0026prime;,6-Diamidino-2-phenylindole\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTO-PRO3\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eThiazole Red\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eGFAP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eGlial fibrillary acidic protein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eROI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRegion of interest\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMFI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMean fluorescence intensity\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eEDTA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEthylenediaminetetraacetic acid\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePMSF\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePhenylmethylsulfonyl fluoride\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSDS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSodium dodecyl sulfate\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTBST\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTris-buffered saline with Tween 20\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFACs\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFluorescence-activated cell sorting\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFSC-A\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eForward scatter area\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSSC-A\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSide scatter area\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDiscrimination index\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eRIN\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRNA integrity number\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eANOVA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eAnalysis of variance\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eIMBB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInstitute of Molecular Biology and Biotechnology\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFoRTH\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eFoundation for Research and Technology Hellas\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank the IMBB animal facility and especially D. Tsoukatou for expert technical assistance. We acknowledge the IMBB Genomics Facility staff and especially M. Lavigne for the gene expression profiling. We also thank C. Spilianakis for valuable assistance and discussions and A. K. Hatzopoulos and F. Moretto for critical reading the manuscript and helpful suggestions.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eS.S. designed and performed experiments, performed data analysis and figure design, and wrote the manuscript. T.M. performed data analysis. S.P. analyzed transcriptomic data and performed functional analysis. M.P designed, performed and analyzed behavioral experiments. I.P designed behavioral experiments and performed ICV injections. E.D performed data analysis. D.T assisted with transcriptomic data submission to NCBI-GEO. C.N. supervised computational analyses of transcriptomic data. P.P supervised behavioral experiments, assisted with the interpretation of data and provided funding. J.P. designed experiments and contributed to the writing of the manuscript. A.K. designed and supervised the study, wrote the manuscript, and secured funding. All authors contributed to editing the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by funding to A.K. from the H.F.R.I call \u0026ldquo;Basic research Financing (Horizontal support of all Sciences)\u0026rdquo; under the National Recovery and Resilience Plan \u0026ldquo;Greece 2.0\u0026rdquo; funded by the European Union \u0026ndash;Next Generation EU (Project Number: 15511), Greece 2.0, National Recovery and Resilience Plan Flagship (program TAEDR-0535850) and intramural funds from the Institute of Molecular Biology and Biotechnology P.P acknowledges funding from the DendroLeap-Stavros Niarchos Foundation (SNF) and the H.F.R.I. under the \u0026ldquo;Theodoros Papazoglou\u0026rdquo; program (Project Number 28056) and COFLEX H.F.R.I. call \u0026ldquo;Basic research Financing (Horizontal support of all Sciences)\u0026rdquo; under the National Recovery and Resilience Plan \u0026ldquo;Greece 2.0\u0026rdquo; (Project Number: 014941).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data supporting the findings of this study are available in the paper and its supplementary figures. Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Androniki Kretsovali ([email protected]). This study did not generate new unique reagents. RNA-seq data generated and analyzed in this study are available at GEO under accession numbers GSE313459.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eReviewer access details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following secure token has been created to allow review of record GSE313459 (RNA-seq) while it remains in private status: arwhsymipjizxqp\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll mice experiments were approved by the\u0026nbsp;FORTH\u0026nbsp;animal ethics committee.\u0026nbsp;Procedures used for the current studies were approved by the General Directorate of Veterinary Services, Region of Crete (license numbers: A. P. 184380, 90851)\u0026nbsp;and were conducted in accordance with the standard guidelines. This work did not involve the use of material from human subjects.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors have read and approved the final manuscript for publication\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u0026nbsp;\u003c/sup\u003eInstitute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Crete, Greece. \u003csup\u003e2\u003c/sup\u003e Department of Biology, University of Crete, 70013 Heraklion, Greece. \u003csup\u003e3\u003c/sup\u003e Institute for Bio-Innovation, Biomedical Sciences Research Center \u0026quot;Alexander Fleming\u0026quot;, 16672 Vari, Greece. \u003csup\u003e4\u003c/sup\u003e School of Medicine, University of Crete, 70013 Heraklion, Greece.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e*Correspondence: [email protected]; Tel.: +30-2810-391191\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eWinblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, et al. 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Front Media S A. 2021. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3389/fneur.2021.660720\u003c/span\u003e\u003cspan address=\"10.3389/fneur.2021.660720\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-neuroinflammation","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jneu","sideBox":"Learn more about [Journal of Neuroinflammation](http://jneuroinflammation.biomedcentral.com)","snPcode":"12974","submissionUrl":"https://submission.nature.com/new-submission/12974/3","title":"Journal of Neuroinflammation","twitterHandle":"@bmc","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Promyelocytic Leukemia Protein (PML), Alzheimer’s disease (AD), Amyloid beta, Microglia, Neuroinflammation","lastPublishedDoi":"10.21203/rs.3.rs-8584272/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8584272/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eAlzheimer\u0026rsquo;s disease (AD) is a progressive neurodegenerative disorder, characterized by amyloid deposition, neurofibrillary tangles, neuroinflammation and synaptic dysfunction. The Promyelocytic leukemia protein (PML) and the cognate nuclear bodies (PML-NB) have emerged as critical regulators of the nervous system, regulating neocortex development, neuronal survival, protein homeostasis and protection from stress. PML-NB have been implicated in the solubility of pathological aggregates in Neurodegenerative Diseases (NDD). However, the impact of PML on AD progression and whether its loss affects amyloid pathology remain unknown.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eTo investigate the role of PML in neuroinflammation we used intracerebroventricular (ICV) injections of oligomeric amyloid beta 1\u0026ndash;42 (oAβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e), in WT and \u003cem\u003ePml-/-\u003c/em\u003e mice and primary microglia cultures derived from these genotypes. To explore the role of PML in AD pathology we employed phenotypic, transcriptomic and behavioral analyses of WT, \u003cem\u003ePml-/-\u003c/em\u003e, 5xFAD and 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e mice.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003ePml-/- mice displayed reduced recruitment and activation of microglia in the vicinity of οΑβ\u003csub\u003e1\u0026minus;42\u003c/sub\u003e injection, accompanied by deregulated expression of disease-associated microglia (DAM) genes. Consistently, Pml-/- primary microglial cultures exhibit reduced phagocytosis, activation, viability and impaired cytokine responsiveness following β-amyloid challenge. PML depletion in 5xFAD mice accelerates Aβ accumulation, impairs microglial activation, lysosomal acidification and recruitment to amyloid plaques while enhances astrocyte reactivity and neuronal degeneration. Hippocampal transcriptomic analyses reveal sex-dependent effects of PML loss, with downregulation of pathways related to cell migration, axonogenesis and synapse organization in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e females and peroxisomal functions, DNA repair and immune responses, in 5xFAD \u003cem\u003ePml-/-\u003c/em\u003e males. Both sexes show suppression of immune response genes and deregulated expression of DAM genes. PML depletion increases impulsivity and hippocampus-dependent behavioral abnormalities in the context of Aβ pathology, highlighting a role for PML in maintaining cognitive function.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003ePML loss exacerbates multiple aspects of AD pathophysiology including amyloid deposition, impaired anti-inflammatory responses, neurotoxicity and cognitive performance. Our findings identify PML as a key regulator for microglial homeostasis and neuroprotective functions in amyloid pathology. Through its actions in microglia, PML emerges as an effector and a marker of aging and neurodegeneration. Restoring or enhancing its activity may represent a promising therapeutic strategy to preserve neuronal function in AD.\u003c/p\u003e","manuscriptTitle":"Promyelocytic Leukemia Protein Promotes Neuroprotection in a mouse model of Alzheimer’s Disease by Modulating the Microglial Inflammatory Response","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-20 15:20:03","doi":"10.21203/rs.3.rs-8584272/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"333314030739715312022417106489979763139","date":"2026-01-19T05:04:50+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"243294208384457388105276728058636594864","date":"2026-01-18T15:43:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"200290763522287923298510753645424309392","date":"2026-01-16T13:57:19+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-01-16T13:45:47+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-01-16T04:30:19+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-01-16T03:02:56+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Neuroinflammation","date":"2026-01-12T17:20:32+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-neuroinflammation","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jneu","sideBox":"Learn more about [Journal of Neuroinflammation](http://jneuroinflammation.biomedcentral.com)","snPcode":"12974","submissionUrl":"https://submission.nature.com/new-submission/12974/3","title":"Journal of Neuroinflammation","twitterHandle":"@bmc","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"df270693-afec-4b84-a77b-b9b2f39b6144","owner":[],"postedDate":"January 20th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[],"tags":[],"updatedAt":"2026-02-16T17:09:44+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-20 15:20:03","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8584272","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8584272","identity":"rs-8584272","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}