Simian Immunodeficiency Virus-Infected Macrophage Traffic Out of the Central Nervous System

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Wallis, Cecily C. Midkiff, Jaclyn Mallard, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6435804/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Nov, 2025 Read the published version in Acta Neuropathologica Communications → Version 1 posted 9 You are reading this latest preprint version Abstract We use intracisternal (i.c.) injection of fluorescent-superparamagnetic iron oxide nanoparticles (SPION) in SIV-infected monkeys that labeled CNS CD68-CD163-CD206 perivascular, meningeal, and choroid plexus (CP) macrophages. SPION + CD163 + macrophages are also found in the optic nerves, nasal septum, and cribriform plate - potential sites-paths of macrophage exit. Outside the CNS CD163 + SPION + macrophages labeled in the CNS are in deep cervical lymph node (dCLN), spleen, dorsal root ganglia (DRG). CD163 + SPION + CNS macrophages are abundant 24 hours p.i. in normal animals and decrease over time without CNS inflammation, but accumulate with SIV infection and inflammation. Greater numbers of SPION + macrophages traffic out of the CNS in normal animals and decrease with infection. Productively infected, SPION + macrophages are found in the CNS and dCLN, spleen, and DRG of infected animals 7–14 days post i.c. injection. These data are consistent with SPION + macrophages, some of which are viral infected, trafficking out of the CNS. Monocytes macrophage HIV SIV cell-traffic Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Summary SPION+ macrophages can leave the CNS normally but accumulate with SIV. SPION+ SIV+ are found in the CNS, at CNS borders, including optical nerve, and cribriform plate, and are outside the CNS in dcLN and dorsal route ganglia. Introduction The central nervous system and CNS are HIV infected early and late post-infection in the periphery even with ART(Williams et al., 2001 , Zink et al., 2010 ). HIV and SIV are detected early in the CNS and is associated with perivascular cuffs of macrophages; and later in CNS lesions with macrophage accumulation(Williams et al., 2001 , Bednar et al., 2015 , Lackner et al., 1991 ). We and others have shown that HIV and SIV are found within CNS perivascular macrophages, meningeal macrophages, and choroid plexus macrophages(Nowlin et al., 2015 , Williams et al., 2001 ). The biology of these cells is important to consider with regard to the CNS as a viral reservoir. The origins of monocytes and macrophages includes bone marrow cells that traffic to the CNS normally and those derived from embryonic stem cells (yolk sac-derived) that repopulate within the CNS by cell division(Bechmann et al., 2001a, Goldmann et al., 2016 , Lassmann et al., 1993 , Hickey et al., 1992 ). Moreover, the biology of CNS inflammation, macrophage traffic in and out of the CNS normally and with HIV infection, is of critical interest. The majority of HIV and SIV-infected cells in the CNS are blood-derived, perivascular macrophages that are located at the blood-CSF interface. These macrophages are a key component of the CNS immune defense and, when infected, can become reservoirs for SIV and HIV(Williams et al., 2001 , Kierdorf et al., 2019 ). Once infected CNS macrophages can facilitate viral persistence and dissemination in the CNS and contribute to neuroinflammation and the development of neurocognitive disorders(Saylor et al., 2016 , Williams and Hickey, 2002 ). The cerebrospinal fluid (CSF) is another route of CNS viral dissemination where infected cells travel through the bloodstream and migrate into the CNS either as part of normal repopulation or in response to infection(Bednar et al., 2015 , Clements et al., 2005 , Zink et al., 1999 ). The trafficking of SIV or HIV-infected macrophages into the CNS is well-documented, but whether these cells can traffic out has significant implications for understanding HIV and SIV persistence and latency, as well as the challenges in eradicating these infections and is less well understood. Counter to the dogma that the CNS lacked or had limited draining lymphatics(Proulx, 2021 ), it is now well established that CNS fluids—and in some instances cells—can drain or exit into the periphery(Aspelund et al., 2015 , Engelhardt et al., 2016 , Hatterer et al., 2006 , Iliff et al., 2012 , Kida et al., 1993 , Ma et al., 2017 , Proulx, 2021 ). Radiolabeled proteins and fluorescence dyes injected intracisternally and fluorescent-labeled antigen-presenting cells (APCs) transplanted into the CNS have been detected in deep cervical lymph nodes (dcLN)(Hatterer et al., 2008 ) likely having been trafficked via meningeal lymphatics. Such studies were done in normal non-inflamed or infected animals and in brain injury or autoimmune models(Da Mesquita et al., 2018 , Louveau et al., 2018 , Louveau et al., 2017 ). Importantly, studies in rodents and non-human primates have demonstrated CNS myelin antigen-presenting macrophages and dendritic cells (APC) in lymph nodes with CNS myelin proteins, suggesting such cell traffic is important for maintaining tolerance to CNS antigens and autoimmune responses (experimental allergic encephalomyelitis (EAE) and multiple sclerosis)(Laman and Weller, 2013 , van Zwam et al., 2009 , de Vos et al., 2002 ). Indeed, ablation of the meningeal lymphatics reduced clinical symptoms in EAE(Louveau et al., 2018 ). An alternative route for cells to exit the CNS is via the central canal and meninges of the spinal cord that connect the inner layers of the peripheral nerve root sheaths as they leave the spinal cord(Ma et al., 2019 , Ligocki et al., 2024 ). This forms a direct connection near the root attachment, the subarachnoid angle, resulting in a continuous passage linking the cerebrospinal fluid-filled subarachnoid space (SAS) of the brain and spinal cord with the perineural space of the nerve roots(Ma et al., 2019 , Jacob et al., 2019 , Ligocki et al., 2024 ). This path communicates with the dorsal root ganglia (DRG) at the interface of the CNS, the peripheral nervous system (PNS), and immune organs outside the CNS(Jacob et al., 2019 , Miura et al., 1998 , Hu and McLachlan, 2002 ). Prior studies, using transplanted and/or injected fluorescent-labeled cells, demonstrate they can leave the CNS. Such experimental rodent models are important and informative, but they have the caveat of inducing CNS injury, breach of the blood-brain barrier (BBB), or both, that can facilitate CNS inflammation (Hatterer et al., 2006 , Hatterer et al., 2008 , Aspelund et al., 2015 ). Importantly, such studies have not been done to date in humans or non-human primates or with HIV or SIV infection. In this study, we injected superparamagnetic iron oxide nanoparticles (SPION) in normal and SIV-infected monkeys and studied their uptake and distribution within the CNS over time, and SPION + CNS macrophage traffic out of the CNS. Due to their size (0.86µm average diameter), SPION do not passively diffuse out of the CNS but are instead taken up by CNS macrophages in perivascular spaces, the meninges, and the choroid plexus from where they can exit. SPION + macrophages peak in the CNS 24 post ic inoculation and decrease with time in normal animals but accumulate in the CNS with SIV infection. SIPON + macrophages are found outside the CNS in dCLN and DRG, and there are greater numbers of these cells with normal animals than SIV infected animals. SPION + and SIV-RNA and gp41 + SPION + macrophages are found outside the CNS in infected animals. Studies in this paper are the first to utilize i.c. SPION injections demonstrate the labeling, accumulation, and trafficking out of macrophage populations in infected animals. These findings underscore the ability of SPION + macrophages, labeled in the CNS, to traffic to peripheral lymph organs and the peripheral nervous system. These data are discussed in the context of CNS inflammation and resolution of infection, and HIV viral reservoirs. Results We injected SPIONs (33 mg/ml) intracisternally (i.c.) into normal non-infected and SIV-infected animals and studied their uptake within CNS macrophages one hour (dextran and SPION), 1 day (dextran and SPION) and 7-, 14-, and 28-days post injection (Fig. 1 ). SPION-labeled cells were detected by bright-field microscopy, Prussian blue iron stain, or using the internal fluorescence of the SPION (data not shown) (Fig. 2 ). Multiple SPION were taken up per labeled cells that are distributed within perivascular spaces, the meninges, and the choroid plexus (Fig. 2 ). We do not find free (non-cell-associated) SPION in the CNS likely due to their size (0.86µm diameter) but scattered free SPION are found around meninges surrounding the brain and the DRG in the subarachnoid space contiguous with the central canal of the spinal cord and CSF (data below). Immunohistochemical (Prussian blue) and fluorescence (Dragon green) SPION are consistently taken up by CD68, CD163, and CD206 perivascular macrophages, meningeal macrophages, and choroid plexus (CP) macrophages (Fig. 3 ). There is a consistent > 2-fold increase in the number of SPION + meningeal versus SPION + perivascular macrophages, consistent with the greater overall number of total meningeal versus perivascular macrophages in each respective compartment (Table 1 ). It is likely also that different fluid dynamics of CSF in the meninges versus than in the perivascular space(Srinivas et al., 2021 , Brown et al., 2020 , Ma et al., 2017 ) account for differential SPION uptake in meningeal versus perivascular macrophages. Over time, there are decreased numbers of SPION + perivascular (p = 0.06) and meningeal macrophages (p = 0.09) in non-infected animals consistent with SPION-labeled cells leaving the CNS (Table 2). In contrast, in SIV-infected animals, there are increased numbers of SPION + macrophages in perivascular space and meninges consistent with CNS inflammation and macrophage accumulation (Table 2). Table 1. Accumulation of SPION+ macrophage in the CNS over time. Data are cell numbers (average+/-StDev) counted in whole tissue sections and expressed as cells per mm 2 . The total area examined is indicated and expressed as tissue area per mm 2 . The area of the meninges and parenchyma were obtained by tiling and hand-drawing around each ROI. The total number of SPION+ macrophages counted is shown in parentheses. A minimum of 4 sections per animal were examined. Prism was used for graphing and statistical analysis Kruskal-Wallis nonparametric test. Table 2. SPION+ macrophage outside the CNS over time. Data are cell numbers (average+/-StDev) counted in n=10 fields of view at 40x magnification expressed as the number of cells per mm 2 . Next, we studied SPION + macrophages exiting the CNS. We find SPION + macrophages in the optic nerve, nasal septum, cribriform plate, at the interface border of the CNS (border associated macrophages, BAM), and outside the CNS in the superficial and dcLN, spleen, and dorsal root ganglia (cervical, thoracic and lumbar, DRG) 1-, 7-, 14-, and 28-days post SPION inoculation in non-infected and SIV infected animals (Fig. 4 ). To assess the distribution of cells and fluid leaving the CNS, we injected soluble fluorescence-labeled dextran and SPION together in a subset of animals (i.c.) (n = 2). Fluorescently labeled dextran dye is found in the dcLN 1 hour after i.c. inoculation in the medullary sinuses, but SPION + macrophages are not detected until 24 hr post i.c. inoculation and is in the paracortex (Fig. 5 ). The 24-hour time lag between finding injected soluble-dextran versus SPION + macrophages is consistent with macrophage uptake of SPION in the CNS and their traffic out to the LN. In addition to dcLN, SPION + positive macrophages are found within the optic nerve, cribriform plate, axillary LN, spleen, and DRG (cervical, thoracic, lumber) 7–28 days post-inoculation in non-infected animals that have no CNS inflammation (Table 2). SPION + macrophages within the optic nerves are in the perineurium and within the nerve fascicles (Wallis, et al. 2024 under review). In addition, SPION + macrophages in the choroid plexus are located in the stroma and within Kolmer macrophages on the apical side (Wallis, et al. 2024). With SIV infection there are decreased numbers of SPION + macrophages in peripheral sites and a trend of accumulation in the CNS (Table 2). Overall, these data, similar to the observations in the CNS suggest that SPION-labeled macrophages leave the CNS at a higher rate in non-infected animals but accumulate in the CNS with SIV infection and CNS inflammation. Using the internal fluorescence of SPION and andti-SIVgp41 and SIV-RNA probes, we find SPION + SIVgp41 + and SIV-RNA + macrophages in the CNS, and outside the CNS in dcLN in SIV infected animals, and SIV infected animals with AIDS (Fig. 6 ). Serial section and double label IF, show these are CD163 + SIVgp41+ (Fig. 6 ). In AIDS animals with SIVE, we find SPION + SIV-RNA + macrophages (20 to 50 SPION + SIV-RNA + cells per dcLN section, 1.0 ± 1.7 SPION + SIV-RNA+/mm 2 ) inside of the CNS and in the dcLN (Fig. 6 ). These data are consistent with SPION-labeled macrophages that were in the CNS that are productively SIV-infected. Whether these are SIV-infected in the CNS and carried SIV-RNA and DNA out, or if they were infected upon leaving the CNS is not determined in this study. Discussion In this study we injected SPION i.c. and assessed their distribution within the CNS over time in normal and SIV infected animals. We found SPIONS in PV macrophages, macrophages in the meninges, and CP that are CD163, CD206, CD68, and in some cases Iba1 positive. There were a greater number of SPION-labeled macrophages within the meninges than the PV macrophages, likely a consequence of greater number of total macrophages in the meninges and also the rate of fluid speed and SPION interaction with macrophages in the meninges versus the PV space (Srinivas et al., 2021 , Brown et al., 2020 , Ma et al., 2017 ). Additionally, macrophages in the meninges consistently had larger numbers of SPION than PV macrophages which may alter their macrophage to traffic (Delcroix et al., 2009 , Jendelová et al., 2004 ). This is likely to the different biology of macrophages in the meninges versus the perivascular space where meningeal macrophages are DC myeloid-like versus innate macrophages in the perivascular space (Williams and Burdo, 2012 , Bechmann et al., 2001b ). We found that the ratio of total macrophages versus SPION + macrophages in each compartment are relatively fixed in non-infected and SIV-infected animals. Outside the CNS we found SPION + macrophages in dcLN, far fewer in superficial LN, and found them in the spleen and DRG with greatest numbers in the DRG, consistent with the DRG being continuous with the subarachnoid space of the spinal cord and in contact with CSF into which the SPION were injected (Ligocki et al., 2024 ). In non-infected animals, there were higher numbers of SPION + macrophages 7 days after injection that normalized over time. With SIV infection, the number of SPION + macrophages in the CNS increased with the development of lesions and macrophage accumulation, and fewer SPION + macrophages were found that trafficked out. Importantly, almost all of the SPION in the CNS and outside were within macrophages and not ones that simply diffused out most likely due to the size of the SPION (Carare et al., 2008 ). Others using SPION injected i.c. have similar findings (Hatterer et al., 2006 , Hatterer et al., 2008 ). Our findings suggest that with SIV infection and macrophage accumulation in the CNS, there is an accumulation of SPION + macrophages. In contrast, in non-infected animals, the SPION + macrophages seem less likely to accumulate in the CNS and increased numbers are found outside of the CNS consistent with traffic out. Interestingly, in the present study, we find with ART more SPION + macrophages are found outside the CNS and fewer are inside, consistent with ART resolving CNS inflammation and more SPION + cells trafficking out (Wallis et al., submitted). In SIV infected animals, we found SPION + macrophages in the CNS and importantly outside the CNS in dcLN. In this study, we cannot ascertain whether they were infected within the CNS or outside. Work by our group and others use gene flow analysis and SIV sequencing demonstrate viral traffic from the CNS to tissues outside late in infection (Salemi et al., 2005 , Lamers et al., 2011 ). Such analysis would need to be done on a single cell level comparing CNS to peripheral viral sequences. Studies in rodents using transplanted or injected (CSF) cells and dyes into the CNS support the notion that immune cells including DC, T cells and B cells and in some cases, monocytes can leave the CNS (Hatterer et al., 2006 , Hatterer et al., 2008 , Kida et al., 1993 , Goldmann et al., 2006 , Karman et al., 2004 , Laaker et al., 2023 ). Those studies by the nature of injection and injury somewhat compromise the BBB and activated the brain (Hatterer et al., 2006 , Hatterer et al., 2008 ). Our study reported here is the first to study macrophage traffic out to the periphery with SIV infection. Pathways by which cells can traffic out are many and have been described and reviewed by others (Laaker et al., 2023 , Raper et al., 2016 , Lamers et al., 2016 , Da Mesquita et al., 2018 , Frederick and Louveau, 2020 , Kanamori and Kipnis, 2020 , das Neves et al., 2021 ). These include meningeal lymphatics and perineural pathways via the cribriform plate (Goldmann et al., 2006 , Hatterer et al., 2006 , Hatterer et al., 2008 ). It is interesting in this study that i.c. injected dextran are readily found outside the CNS in dcLN hours after administration but SPION + macrophages are not detected until 24 hours post i.c. inoculation. This is likely because of the size restriction of the SPION that do not readily leak out (Daneman and Prat, 2015 , Chen and Konofagou, 2014 , Iliff et al., 2012 ) but are instead taken up by macrophage before they leave in contrast to dextran dyes that readily leak out. Also, the location of the SPION in the dcLN is different than dextran dye, suggesting differential pathways of fluid versus myeloid cell traffic (Laman and Weller, 2013 , Hatterer et al., 2006 , Girard et al., 2012 ). We and others have previously demonstrated in HIV-infected humans and SIV-infected monkeys that PV macrophages are a major site in the CNS of productive lentiviral infection (Williams et al., 2001 , Nowlin et al., 2015 , Abreu et al., 2019 ). In other work (Wallis et al., submitted 2024) we find ART effectively clears the CNS perivascular macrophage SIV infection and the majority of CNS meninges and CP macrophages, and following 4 weeks of ART interruption, CNS perivascular macrophages remain SIV—RNA negative but there is a rebound in the number of SIV-RNA + meningeal macrophage and CP macrophages (Wallis, et al., 2024). Similarly, in the periphery, plasma virus is decreased, as it is in the spleen and dcLN, but interestingly not in the DRG. We and others have shown that the DRG appears to be less resistant to ART with macrophage accumulation and persistent activation despite ART (Wallis, et al., under review AJP, 2024)(Warfield et al., 2023 ). In this study, we now also show the macrophages in the CP also are targets. Others have previously noted early CP macrophage infected by HIV and SIV with aseptic meningitis but have generally not considered this to be a reservoir site (Falangola et al., 1994 , Hanly and Petito, 1998 , Chen et al., 2000 ). This however seems to be the case and might be a source of CSF virus as macrophages in the CP are close to both blood and CSF production, that subsequently baths the brain and spinal cord (Falangola et al., 1994 , Hanly and Petito, 1998 , Chen et al., 2000 , Lackner et al., 1991 , Liu et al., 2000 ). Another site of interest is the DRG part of which is at the interface of the CNS and the PNS. SPION are abundant in the DRG that is in communication with the subarachnoid space of the spinal cord, and the subarachnoid angle surrounding the nerve sheath (McCabe and Low, 1969 , Hu and McLachlan, 2002 ). We find SPION within macrophages in the epineurium, and with fascicles of the nerve, suggesting a novel route of possible traffic of macrophages (Wallis et al., under review AJP, 2024). Importantly macrophages with SIV in the peripheral nerve and DRG are less affected by ART, unlike the spleen and dcLN. Thus, the DRG and peripheral and cranial nerves, which are still affected with HIV in PLWH on durable ART, deserve more investigation with regard to viral reservoirs and macrophage. It is important to note that Clements et al., show evidence of replication competent virus in monocytes of PLWH on ART (Abreu et al., 2019 , Veenhuis et al., 2023 ). Possible short comings of our work include our use of CD8 depletion for a rapid AIDS model with high tissue pathology. Because of the CD8 depletion ART in this model, for this 3-4-month time period does not lower plasma virus to non-detectable levels. That said, many of the observations made in this model including sCD163 correlating with CNS and CVD pathology, SIV productive infection of PV macrophage in the CNS and CNS tissues, and neuronal injury of the CNS with SIV infection, as well as the ability to clear CNS infection with ART have been confirmed in humans prior to the advent of ART and in individuals on ART. This study investigates the distribution of SPION-labeled macrophages within the CNS of normal and SIV-infected animals over time. We found SPION-labeled macrophages primarily in the perivascular space (PVM), meninges, and choroid plexus (CP), identifying that meningeal macrophage had a greater accumulation of SPION than PVM. The data suggest that SIV infection leads to increased accumulation of SPION + macrophages in the CNS, while in non-infected animals, these macrophages traffic out of the CNS. We highlight the significance of SPION-labeled macrophages found in the dcLN, indicating traffic from the CNS, and underscore the need for further investigation into the role of macrophages in viral reservoirs and the impact of ART on CNS inflammation and reseeding of the viral reservoir in the periphery. Methods Ethics Statement All animal work was approved by the Tulane National Primate Research Center Care and Animal Use Committee. The TNRPC protocol number is 3767 and the animal welfare assurance number is P0310. Animals and Viral Infection Sixteen rhesus macaques (Macaca mulatta) born and housed at the Tulane National Primate Research Center in strict adherence to the "Guide for the Care and Use of Laboratory Animals” were used in this study (Fig. 1 ). Six are non-infected, 10 are SIV-infected with 2 animals used from an additional cohort that developed acquired immunodeficiency syndrome. Animals were intravenously inoculated (i.v) with a bolus of SIVmac251 viral swarm (20 ng of SIV gp41). SPIONs and Dextran Superparamagnetic iron oxide nanoparticles (SPION) were obtained from Bangs Laboratories Inc (Fishers, IN) (PSCOOHMag/Encapsulated, MEDG001). SPION are iron oxide nanospheres encapsulated in an inert polymer which contains a photoreactive fluorophore. The SPION used have an average particle size of 0.86µm diameter and internal fluorescence (Dragon Green [480/520]). SPION were prepared under sterile conditions using 3 mL of stock solution and 7 mL of sterile, low endotoxin phosphate-buffered saline (PBS). SPIONs were resuspended in 1mL of sterile PBS for a final concentration of 33 mg/mL. Select animals (n = 2) also received fluorescent dextran (RITC-Dextran, 10 KD, Invitrogen, CA) i.c at a concentration of 50 mg/mL. Intracisternal (i.c) Inoculation into the third ventricle To avoid an increase in intracranial pressure, 1 mL of cerebrospinal fluid was removed from the cisterna magna prior to inoculations of equivalent volume. 1 mL of SPION (33mg/mL) was injected over a 5-minute period. Tissue Collection and Processing : Animals were anesthetized with ketamine-HCl and euthanized with i.v. pentobarbital overdose and exsanguinated. Blood was collected and Heparin Sulfate was administered i.v. and allowed 5 minutes to diffuse. Sodium pentobarbital was administered via intracardiac injection and CSF was collected. Following CSF collection, animals underwent perfusion with 3L of 1XPBS. Postmortem examination was performed by a veterinary pathologist as previously described [33, 34, 52, 85]. Brain (frontal, temporal, occipital, parietal, and choroid plexus) and peripheral tissues (cranial nerves, cribriform plate, nasal septum, brachial plexus, spleen, dcLN, superficial LNs, axillary LNs) were: i) collected in zinc-buffered formalin and embedded in paraffin, ii) fixed with 2% paraformaldehyde for 4–48 hours, sucrose protected and embedded in optimal cutting temperature (OCT) compound for SPION analysis, or iii) snap frozen in OCT without fixation. Immunohistochemistry : IHC was performed as previously described using antibodies targeting CD163 (1:250, Leica (Deer Park, IL)), CD68 (1:100, DAKO (Carpinteria, CA)), CD206 (1:1000, R&D Systems (Minneapolis, MN)), and IBA1 macrophages (1:100, Wako (Osaka, Japan)) [33, 34, 85]. Briefly, formalin-fixed paraffin-embedded sections were de-paraffinized and rehydrated followed by antigen retrieval with a citrate-based Antigen Unmasking Solution (Vector Laboratories, Burlingame, CA) in a microwave (900 W) for 20 min. After cooling for 20 min, sections were washed with Tris-buffered saline (TBS) containing 0.05% Tween-20 for 5 minutes before incubation with peroxidase block (DAKO, Carpinteria, CA) followed by protein block (DAKO, Carpinteria, CA) for 30 minutes and incubation with primary antibody. Following incubation with a peroxidase-conjugated polymer, slides were developed using a diaminobenzidine chromogen (DAKO, Carpinteria, CA) with Harris Hematoxylin (StatLab, McKinney, TX). Immunofluorescence : Antibodies targeting CD163 (NCL-CD163, Leica Biosystems (Deer Park, IL)) and gp41 envelope protein (KK41, NIH (Manassas, VA)) were used on 2% paraformaldehyde (PFA) fixed frozen sections as previously described (Nowlin et al., 2015 , Soulas et al., 2011 , White et al., 2023 ). 2% PFA, fixed frozen sections were thawed for 20 minutes at room temperature, unwrapped, submerged in a citrate-based Antigen Unmasking Solution, and microwaved for one minute and forty-five seconds and cooled to room temperature. Slides were permeabilized in a solution of phosphate-buffered saline with 0.01% Triton X-100 and 0.02% fish skin gelatin (PBS-FSG-TX100) followed by a PBS-FSG wash, transferred to a humidified chamber and blocked with 10% normal goat serum (NGS) diluted in PBS-FSG for 40 minutes, followed by a 60-minute primary antibody incubation, washes, and 40-minute secondary antibody incubation. Routine washes were performed and DAPI nuclear stain added for 10 minutes. Slides were mounted using a custom-formulated anti-quenching mounting media containing Mowiol (#475904, Calbiochem; San Diego, CA) and DABCO (#D2522, Sigma: St. Louis, MO) and allowed to dry overnight before being digitally imaged with a Zeiss Axio Scan.Z1. HALO software (HALO v3.4, Indica Labs; Albuquerque, NM) was used for quantification and analysis. Detection and quantification of SPION + macrophages in tissues SPIONs were detected in the central nervous system (CNS) and peripheral tissues by 1) light microscopy by morphology of the amber SPION beads, 2) Prussian blue iron staining (Sigma Aldrich Iron Stain, St. Louis, MO), and 3) internal fluorescence of Dragon Green. SPION + cells in whole tissue sections were counted manually at 20x by light microscopy (Plan-Apochromat 620/0.7, Olympus; Japan) in a blinded fashion. Whole section tiling, and stitching was done using a Zeiss Axio Imager M1 microscope (Zeiss;Oberkochen, Germany) with AxioVision (Version 4.8, Zeiss; Oberkochen, Germany) using Plan-Apochromat 620/0.8 and 640/0.95 Korr objectives followed by manual annotation of the parenchyma from the meninges into separate regions of interest (ROIs) and tissue area reported as mm 2 . Viral RNA and Detection Ultrasensitive SIV-RNAscope with probes for SIVmac251 was used to detect SPION-containing SIV-RNA positive cells within and outside of the CNS as previously described (White et al., 2023 ). Tissue sections were placed in a target antigen retrieval solution, heated, and treated with protease plus, and a hydrogen peroxide blocker according to the manufacturer’s protocol (Advanced Cell Diagnostics, Newark, CA). SIVmac239 RNAscope probes (Advanced Cell Diagnostics, Newark, CA) were hybridized at 40°C in the HybEZ II Hybridization System. The RNAscope 2.5 HD Assay amplification steps were applied according to the manufacturer’s protocol. Target RNA was visualized through the addition of chromogenic Fast Red A and Fast Red B (Advanced Cell Diagnostics, Newark, CA), and sections were counterstained with hematoxylin (Sigma-Aldrich) and mounted using Vectamount (Vector Laboratories). Declarations Ethics approval and consent to participate: This study did not use any human participants or specimens. This study used non-human primates. All animal work was done in strict adherence to the "Guide for the Care and Use of Laboratory Animals” and was approved by Tulane Universities’, Tulane National Primate Research Center (TNRPC) Care and Animal Use Committee, New Orleans, LA, USA. The Animal Use Committee approved specific protocols and procedures for animal use based on the Ethical Use of Animals Standards. The TNRPC protocol number is 3767 and the animal welfare assurance number is P0310 Consent for publication: Not Applicable. Competing interests: The authors declare that they have no competing interests. Data Set Availability : Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study. Funding: Work in this publication was supported in part by funding from the National Institutes of Health, NINDS, NIH RO1 NS040237 (K.W.) and RO1NS126091(K.W.) Authors Contributions: Conceptualization, K.C.W., and X.A.; Obtained and analyzed data and images, X.A., Z.K.W. J.M., and C.C.M.; writing—original draft preparation, X.A., and Z.K.W.; writing—review and editing, K.C.W., Z.K.W., and P.J.D. Acknowledgements: Not Applicable. References ABREU C, BECK SHIRKENQUEENSE, MANGUS SE, GAMA LMPATEKAMMANKOWSKIJL, L., CLEMENTS JE (2019) Brain macrophages harbor latent, infectious simian immunodeficiency virus. Aids 33(Suppl 2):S181–s188 ASPELUND A, ANTILA S, KARLSEN PROULXST, KARAMAN TV, DETMAR S, WIIG M, H., ALITALO K (2015) A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules. J Exp Med 212:991–999 BECHMANN I, KWIDZINSKI E, KOVAC AD, SIMBURGER E, HORVATH T, PRILLER GIMSAUDIRNAGLU, J., NITSCH R 2001a. Turnover of rat brain perivascular cells. Exp Neurol, 168, 242–249 BECHMANN I, KOVAC PRILLERJ, BONTERT A, WEHNER M, STUSCHKE TKLETTFFBOHSUNGJ, DIRNAGL M, U., NITSCH R (2001b) Immune surveillance of mouse brain perivascular spaces by blood-borne macrophages. Eur J Neurosci 14:1651–1658 BEDNAR MM, DUKHOVLINOVA STURDEVANTCBTOMPKINSLAARRILDTKT, E., KINCER, L. P., SWANSTROM R (2015) Compartmentalization, Viral Evolution, and Viral Latency of HIV in the CNS. Curr HIV/AIDS Rep 12:262–271 BROWN TD, HABIBI N, WU D, LAHANN J, MITRAGOTRI S (2020) Effect of Nanoparticle Composition, Size, Shape, and Stiffness on Penetration Across the Blood–Brain Barrier. ACS Biomaterials Sci Eng 6:4916–4928 CARARE RO, BERNARDES-SILVA M, PAGE NEWMANTA, PERRY AMNICOLLJA, V. H., WELLER RO (2008) Solutes, but not cells, drain from the brain parenchyma along basement membranes of capillaries and arteries: significance for cerebral amyloid angiopathy and neuroimmunology. Neuropathol Appl Neurobiol 34:131–144 CHEN H, KONOFAGOU EE (2014) The size of blood-brain barrier opening induced by focused ultrasound is dictated by the acoustic pressure. J Cereb Blood Flow Metab 34:1197–1204 CHEN H, WOOD C, PETITO CK (2000) Comparisons of HIV-1 viral sequences in brain, choroid plexus and spleen: potential role of choroid plexus in the pathogenesis of HIV encephalitis. J Neurovirol 6:498–506 CLEMENTS JE, LI M, BULLOCK GAMAL, CARRUTH B, L. M., MANKOWSKI, J. L., ZINK MC (2005) The central nervous system is a viral reservoir in simian immunodeficiency virus–infected macaques on combined antiretroviral therapy: a model for human immunodeficiency virus patients on highly active antiretroviral therapy. J Neurovirol 11:180–189 DA MESQUITA S, VACCARI LOUVEAUA, SMIRNOV A, CONTARINO ICORNELISONRCKINGSMOREKM, ONENGUT-GUMUSCU C, RAPER SFARBERE, BAKER DVIARKEPOWELLRD, DABHI W, CAO NBAIR, MUNSON RHUSRICHSS, J. M., LOPES, M. B., OVERALL, C. C., ACTON, S. T., KIPNIS J (2018) Functional aspects of meningeal lymphatics in ageing and Alzheimer's disease. Nature , 560, 185–191 DANEMAN R, PRAT A (2015) The blood-brain barrier. Cold Spring Harb Perspect Biol 7:a020412 DAS NEVES SP, DELIVANOGLOU N, DA MESQUITA S (2021) CNS-Draining Meningeal Lymphatic Vasculature: Roles, Conundrums and Future Challenges. Front Pharmacol 12:655052 DE VOS AF, VAN MEURS M, BOVEN BROKHP, VAN DER VALK LAHINTZENRQ, RAVID P, RENSING R, BOON S, HART LT, B. A., LAMAN JD (2002) Transfer of central nervous system autoantigens and presentation in secondary lymphoid organs. J Immunol 169:5415–5423 DELCROIX GJ, JACQUART M, LEMAIRE L, SINDJI L, FRANCONI F, JEUNE LE, J. J., MONTERO-MENEI CN (2009) Mesenchymal and neural stem cells labeled with HEDP-coated SPIO nanoparticles: in vitro characterization and migration potential in rat brain. Brain Res 1255:18–31 ENGELHARDT B, FLüGEL CARAREROBECHMANNI, A., LAMAN, J. D., WELLER RO (2016) Vascular, glial, and lymphatic immune gateways of the central nervous system. Acta Neuropathol 132:317–338 FALANGOLA MF, CASTRO-FILHO BG, PETITO CK (1994) Immune complex deposition in the choroid plexus of patients with acquired immunodeficiency syndrome. Ann Neurol 36:437–440 FREDERICK N, LOUVEAU A (2020) Meningeal lymphatics, immunity and neuroinflammation. Curr Opin Neurobiol 62:41–47 GIRARD J-P, MOUSSION C, FöRSTER R (2012) HEVs, lymphatics and homeostatic immune cell trafficking in lymph nodes. Nat Rev Immunol 12:762–773 GOLDMANN J, KWIDZINSKI E, BRANDT C, RICHTER MAHLOJ, D., BECHMANN I (2006) T cells traffic from brain to cervical lymph nodes via the cribroid plate and the nasal mucosa. J Leukoc Biol 80:797–801 GOLDMANN T, JORDãO WIEGHOFERP, PRUTEK MJ, HAGEMEYER F, FRENZEL N, AMANN K, KRUEGER LSTASZEWSKIOKIERDORFK, LOCATELLI M, EPELMAN GHOCHGERNERHZEISERR, GEISSMANN S, BECHMANN FPRILLERJROSSIFM, I., KERSCHENSTEINER, M., LINNARSSON, S., JUNG, S., PRINZ M (2016) Origin, fate and dynamics of macrophages at central nervous system interfaces. Nat Immunol , 17, 797–805 HANLY A, PETITO CK (1998) HLA-DR-positive dendritic cells of the normal human choroid plexus: a potential reservoir of HIV in the central nervous system. Hum Pathol 29:88–93 HATTERER E, DAVOUST N, DIDIER-BAZES M, BELIN VUAILLATCMALCUSC, M. F., NATAF S (2006) How to drain without lymphatics? Dendritic cells migrate from the cerebrospinal fluid to the B-cell follicles of cervical lymph nodes. Blood 107:806–812 HATTERER E, TOURET M, BELIN MF, HONNORAT, J., NATAF S (2008) Cerebrospinal fluid dendritic cells infiltrate the brain parenchyma and target the cervical lymph nodes under neuroinflammatory conditions. PLoS ONE 3:e3321 HICKEY WF, VASS K, LASSMANN H (1992) Bone marrow-derived elements in the central nervous system: an immunohistochemical and ultrastructural survey of rat chimeras. J Neuropathol Exp Neurol 51:246–256 HU P, MCLACHLAN EM (2002) Macrophage and lymphocyte invasion of dorsal root ganglia after peripheral nerve lesions in the rat. Neuroscience 112:23–38 ILIFF JJ, WANG M, LIAO Y, PENG PLOGGBA, BENVENISTE WGUNDERSENGA, DEANE HVATESGE, R., GOLDMAN, S. A., NAGELHUS, E. A., NEDERGAARD M (2012) A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci Transl Med 4:147ra111 JACOB L, GERALDO BOISSERANDLSB, DE BRITO NETO LHM, MATHIVET J, ANTILA T, XU SBARKAB, SONG YTHOMASJ-MPESTELJAIGROTM-S, E., NURMI, H.,A., THOMAS J-L (2019) Anatomy and function of the vertebral column lymphatic network in mice. Nat Commun 10:4594 LEE, S., ALITALO, K., RENIER, N., EICHMANN JENDELOVá P, URDZíKOVá HERYNEKV, GLOGAROVá L, KROUPOVá K, BRYJA JANDERSSONB, HáJEK VBURIANM, M., SYKOVá E (2004) Magnetic resonance tracking of transplanted bone marrow and embryonic stem cells labeled by iron oxide nanoparticles in rat brain and spinal cord. J Neurosci Res 76:232–243 KANAMORI M, KIPNIS J (2020) Meningeal lymphatics drain brain tumors. Cell Res 30:191–192 KARMAN J, LING C, SANDOR M, FABRY Z (2004) Initiation of immune responses in brain is promoted by local dendritic cells. J Immunol 173:2353–2361 KIDA S, PANTAZIS A, WELLER RO (1993) CSF drains directly from the subarachnoid space into nasal lymphatics in the rat. Anatomy, histology and immunological significance. Neuropathol Appl Neurobiol 19:480–488 KIERDORF K, JORDãO MASUDAT, M. J. C., PRINZ M (2019) Macrophages at CNS interfaces: ontogeny and function in health and disease. Nat Rev Neurosci 20:547–562 LAAKER C, KOVáCS BAENENC, SANDOR KG, M., FABRY Z (2023) Immune cells as messengers from the CNS to the periphery: the role of the meningeal lymphatic system in immune cell migration from the CNS. Front Immunol 14:1233908 LACKNER AA, SMITH MO, GARDNER MUNNRJMARTFELDDJ, M. B., MARX, P. A., DANDEKAR S (1991) Localization of simian immunodeficiency virus in the central nervous system of rhesus monkeys. Am J Pathol 139:609–621 LAMAN JD, WELLER RO (2013) Drainage of cells and soluble antigen from the CNS to regional lymph nodes. J Neuroimmune Pharmacol 8:840–856 LAMERS SL, GRAY RR, SALEMI M, HUYSENTRUYT, L. C., MCGRATH MS (2011) HIV-1 phylogenetic analysis shows HIV-1 transits through the meninges to brain and peripheral tissues. Infect Genet Evol 11:31–37 LAMERS SL, ROSE R, SALEMI NDHLOVULCNOLANDJ, M., MAIDJI, E., STODDART, C. A., MCGRATH MS (2016) The meningeal lymphatic system: a route for HIV brain migration? J Neurovirol 22:275–281 LASSMANN H, SCHMIED M, VASS K, HICKEY WF (1993) Bone marrow derived elements and resident microglia in brain inflammation. Glia 7:19–24 LIGOCKI AP, VINSON AV, SMITH YACHNISATDUNNWA, ALVAREZ-CASTANON DESCOTTEA, BAEZ JV, MONTALVO DE, FRISONE, O. G., BROWN, G. A. J., PESSA, J. E., SCOTT EW (2024) Cerebrospinal fluid flow extends to peripheral nerves further unifying the nervous system. Sci Adv 10:eadn3259 LIU Y, TANG XP, SCOTT MCARTHURJC, J., GARTNER S (2000) Analysis of human immunodeficiency virus type 1 gp160 sequences from a patient with HIV dementia: evidence for monocyte trafficking into brain. J Neurovirol 6(Suppl 1):S70–81 LOUVEAU A, VIAR HERZJALMEMNSALVADORAFDONGMQ, LUPI KEHERODSGKNOPPJSETLIFFJC, MESQUITA AL, FROST S, CAO ELGAULTIERAHARRISTH, R., HU, S., LUKENS, J. R., SMIRNOV, I., OVERALL, C. C., OLIVER, G., KIPNIS J (2018) CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature. Nat Neurosci , 21, 1380–1391 LOUVEAU A, ANTILA PLOGBA, NEDERGAARD SALITALOK, M., KIPNIS J (2017) Understanding the functions and relationships of the glymphatic system and meningeal lymphatics. J Clin Invest 127:3210–3219 MA Q, DECKER Y, MüLLER A, INEICHEN BV, PROULX ST (2019) Clearance of cerebrospinal fluid from the sacral spine through lymphatic vessels. J Exp Med 216:2492–2502 MA Q, INEICHEN BV, DETMAR M, PROULX ST (2017) Outflow of cerebrospinal fluid is predominantly through lymphatic vessels and is reduced in aged mice. Nat Commun 8:1434 MCCABE JS, LOW FN (1969) The subarachnoid angle: An area of transition in peripheral nerve. Anat Rec 164:15–33 MIURA M, KATO S, VON LüDINGHAUSEN M (1998) Lymphatic drainage of the cerebrospinal fluid from monkey spinal meninges with special reference to the distribution of the epidural lymphatics. Arch Histol Cytol 61:277–286 NOWLIN BT, BURDO TH, MIDKIFF CC, SALEMI M, ALVAREZ X, WILLIAMS KC (2015) SIV encephalitis lesions are composed of CD163(+) macrophages present in the central nervous system during early SIV infection and SIV-positive macrophages recruited terminally with AIDS. Am J Pathol 185:1649–1665 PROULX ST (2021) Cerebrospinal fluid outflow: a review of the historical and contemporary evidence for arachnoid villi, perineural routes, and dural lymphatics. Cell Mol Life Sci 78:2429–2457 RAPER D, LOUVEAU A, KIPNIS J (2016) How Do Meningeal Lymphatic Vessels Drain the CNS? Trends Neurosci 39:581–586 SALEMI M, LAMERS SL, YU S, DE OLIVEIRA T, FITCH WM, MCGRATH MS (2005) Phylodynamic analysis of human immunodeficiency virus type 1 in distinct brain compartments provides a model for the neuropathogenesis of AIDS. J Virol 79:11343–11352 SAYLOR D, SACKTOR DICKENSAM, HAUGHEY N, PLETNIKOV NSLUSHERB, BROWN MMANKOWSKIJL, A., VOLSKY, D. J., MCARTHUR JC (2016) HIV-associated neurocognitive disorder — pathogenesis and prospects for treatment. Nat Reviews Neurol 12:234–248 SOULAS C, KIM CONERLYC, BURDO WK, ALVAREZ TH, X., LACKNER, A. A., WILLIAMS KC (2011) Recently infiltrating MAC387(+) monocytes/macrophages a third macrophage population involved in SIV and HIV encephalitic lesion formation. Am J Pathol 178:2121–2135 SRINIVAS M, SHARMA P, JHUNJHUNWALA S (2021) Phagocytic Uptake of Polymeric Particles by Immune Cells under Flow Conditions. Mol Pharm 18:4501–4510 VAN ZWAM M, MELIEF HUIZINGAR, WIERENGA-WOLF MJ, VAN AF, MEURS M, HöPKEN VOERMANJSBIBERKPBODDEKEHW, MEISEL UE, MEISEL C, BECHMANN A, HART IHINTZENRQT, AMOR BA, S., LAMAN, J. D., BOVEN LA (2009) Brain antigens in functionally distinct antigen-presenting cell populations in cervical lymph nodes in MS and EAE. J Mol Med (Berl) 87:273–286 VEENHUIS RT, FERREIRA ABREUCMCOSTAPAG, RATLIFF EA, POHLENZ J, GAMA LSHIRKENRUBINLHBLANKSONJN, L., CLEMENTS JE (2023) Monocyte-derived macrophages contain persistent latent HIV reservoirs. Nat Microbiol 8:833–844 WARFIELD R, PODGORSKI ROBINSONJA, R. M., MILLER, A. D., BURDO TH (2023) Neuroinflammation in the Dorsal Root Ganglia and Dorsal Horn Contributes to Persistence of Nociceptor Sensitization in SIV-Infected Antiretroviral Therapy-Treated Macaques. Am J Pathol 193:2017–2030 WHITE KS, WANG WALKERJA, AUTISSIER J, LI PMILLERADABUELEZANNNBURRACKR, Q., KIM, W. K., WILLIAMS KC (2023) Simian immunodeficiency virus-infected rhesus macaques with AIDS co-develop cardiovascular pathology and encephalitis. Front Immunol 14:1240946 WILLIAMS K, BURDO TH (2012) Monocyte mobilization, activation markers, and unique macrophage populations in the brain: observations from SIV infected monkeys are informative with regard to pathogenic mechanisms of HIV infection in humans. J Neuroimmune Pharmacol 7:363–371 WILLIAMS KC, COREY S, WESTMORELAND SV, PAULEY D, ALVAREZ KNIGHTHDEBAKKERC, X., LACKNER AA (2001) Perivascular Macrophages Are the Primary Cell Type Productively Infected by Simian Immunodeficiency Virus in the Brains of Macaques: Implications for the Neuropathogenesis of AIDS. J Exp Med 193:905–916 WILLIAMS KC, HICKEY WF (2002) Central nervous system damage, monocytes and macrophages, and neurological disorders in AIDS. Annu Rev Neurosci 25:537–562 ZINK MC, KELLY BRICEAK, GAMA KMQUEENSE, LI L, VARRONE MADAMSRJBARTIZALC, GRAHAM JRABISA, D. R., TARWATER, P. M., MANKOWSKI, J. L., CLEMENTS JE (2010) Simian Immunodeficiency Virus-Infected Macaques Treated with Highly Active Antiretroviral Therapy Have Reduced Central Nervous System Viral Replication and Inflammation but Persistence of Viral DNA. J Infect Dis 202:161–170 ZINK MC, SURYANARAYANA K, SHEN MANKOWSKIJL, PIATAK A, CARTER MJRSPELMANJP, LIFSON DLADAMSRJ, J. D., CLEMENTS JE (1999) High viral load in the cerebrospinal fluid and brain correlates with severity of simian immunodeficiency virus encephalitis. J Virol 73:10480–10488 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 29 Nov, 2025 Read the published version in Acta Neuropathologica Communications → Version 1 posted Editorial decision: Revision requested 26 Jun, 2025 Reviews received at journal 25 Jun, 2025 Reviews received at journal 13 Jun, 2025 Reviewers agreed at journal 04 Jun, 2025 Reviewers agreed at journal 29 May, 2025 Reviewers invited by journal 16 May, 2025 Editor assigned by journal 20 Apr, 2025 Submission checks completed at journal 20 Apr, 2025 First submitted to journal 12 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6435804","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":458219868,"identity":"730e52c9-b5e5-406e-9568-02cde40cc8f5","order_by":0,"name":"Xavier Alvarez","email":"","orcid":"","institution":"Imaging PET-CT and OIL Core, Southwest National Primate Research Center","correspondingAuthor":false,"prefix":"","firstName":"Xavier","middleName":"","lastName":"Alvarez","suffix":""},{"id":458219869,"identity":"5c7ff6fa-0a3a-403c-9070-5a89a54e5fd6","order_by":1,"name":"Zoey K. Wallis","email":"","orcid":"","institution":"Morrissey College of Arts and Sciences, Boston College","correspondingAuthor":false,"prefix":"","firstName":"Zoey","middleName":"K.","lastName":"Wallis","suffix":""},{"id":458219870,"identity":"4b07da54-217d-423b-9a28-87a14074265d","order_by":2,"name":"Cecily C. Midkiff","email":"","orcid":"","institution":"Tulane National Primate Research Center","correspondingAuthor":false,"prefix":"","firstName":"Cecily","middleName":"C.","lastName":"Midkiff","suffix":""},{"id":458219871,"identity":"cd32bbdd-079a-4345-807b-c994cf47e487","order_by":3,"name":"Jaclyn Mallard","email":"","orcid":"","institution":"Morrissey College of Arts and Sciences, Boston College","correspondingAuthor":false,"prefix":"","firstName":"Jaclyn","middleName":"","lastName":"Mallard","suffix":""},{"id":458219872,"identity":"816db5a8-d520-45eb-a739-5ff5939705fd","order_by":4,"name":"Pete J. Didier","email":"","orcid":"","institution":"Tulane National Primate Research Center","correspondingAuthor":false,"prefix":"","firstName":"Pete","middleName":"J.","lastName":"Didier","suffix":""},{"id":458219873,"identity":"6157ef6f-8fec-4498-9479-6bfb355e0af0","order_by":5,"name":"Kenneth C. Williams","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIie3PMWrDMBSA4RcMngReZUTSK9gE1CXUV7EpuIsO0CGDSyBZnGRtb9EpXVUEypL2AurgLp66dAkaQlvZJpki0zGD/kF6CH0gAbhcFxjuNg7geQ88beZgJpttUPSStCGDoiNY5v8k5g7vzhjtJeFiKatv/QHR1pBqukkAdvtKw2T4zM8Tgt7v4se0hkg0D5MqK7zlS1xCPraREWaUoFQAbYmvzHfeNgRAZFZy9UXJ4UR+lHkYqw35tRKCESVwJNlcmV8z3xBuJWHJaFjmAiUtWalsjuV1XEa34ycLwdsdxXoiRuFavH7qvUqCYFZX+v5muLKQY+g0+e0a9V93uVwuV39/nPVkmKZTFxsAAAAASUVORK5CYII=","orcid":"","institution":"Morrissey College of Arts and Sciences, Boston College","correspondingAuthor":true,"prefix":"","firstName":"Kenneth","middleName":"C.","lastName":"Williams","suffix":""}],"badges":[],"createdAt":"2025-04-12 17:08:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6435804/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6435804/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s40478-025-02179-6","type":"published","date":"2025-11-29T15:56:57+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":83145289,"identity":"190ee37a-25e3-4a1c-9273-d35f0ebaaf8c","added_by":"auto","created_at":"2025-05-20 12:56:11","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":166069,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStudy Design. \u003c/strong\u003eFourteen Indian rhesus macaques were used in this study. Six were non-infected and eight were infected with SIVmac251. An additional two animals that were SIV infected and developed AIDS were used for studies of SIV-RNA in SPION+ macrophages in deep cLN. Macaques received i.c. SPION injection and serial sacrifices with or without dextran dye 1 hour, 1 day, 7-, 14-, or 28- days post-injection. Study design created using BioRender.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/cfc08b93c0da8b35b69df32f.png"},{"id":83144170,"identity":"8243a7e0-5ecb-4e77-aa19-c8675887f530","added_by":"auto","created_at":"2025-05-20 12:48:11","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1442393,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDistribution of SPION after i.c. injection.\u003c/strong\u003e Following i.c. SPION injection, SPION are cell-associated in the CNS (a\u0026amp;b) amber SPION within macrophages in cerebellum meninges, (c) Prussian Blue, iron stained SPION within perivascular macrophages in the perivascular space, and (d) Prussian Blue, iron stained SPION in macrophages within cerebrum meninges and perivascular space.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/f8a5d017f81f886d288a156f.png"},{"id":83144175,"identity":"c94caf90-bd6f-4dcf-8be7-1d8d518a368a","added_by":"auto","created_at":"2025-05-20 12:48:11","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":722629,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSPION localize to CNS macrophage. \u003c/strong\u003eSPION (amber beads) within Iba1+, CD68+, CD163+, and CD206+ perivascular, meningeal, and choroid plexus macrophages in the CNS.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/6c65650b98cd778b95341b4d.png"},{"id":83145293,"identity":"7e5f4f22-ec2f-47cc-845c-04f49e51e4a9","added_by":"auto","created_at":"2025-05-20 12:56:11","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1297571,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSPION+ Macrophage outside of the CNS over time. \u003c/strong\u003e(a) SPION (Prussian blue) in the brain and cribriform plate area, (b) SPION (green) localized to CD163+ macrophage (Red) within cranial nerves, (c) SPION (amber beads) clustered in the DRGs, and (d) SPION (green) within macrophages in the tonsils.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/57627a3d24ce292fca660d37.png"},{"id":83146191,"identity":"a92b9a0a-ac0d-44a4-9dd6-a1b5d441bfdb","added_by":"auto","created_at":"2025-05-20 13:04:11","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":905640,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTraffic of SPION+ macrophage out of the CNS to the deep cervical lymph node over time.\u003c/strong\u003e (a) SPION (Prussian blue) in the deep CLN 7 days post i.c. SPION injection. (b) Dextran dye (Red, white border arrow) and SPION (green, black arrow) in different regions of the deep CLN post i.c. injection. (c) Number of SPION+ macrophage in the deep CLN post i.c. injection in non-infected and SIV-infected macaques. Each data point represents the cell count from the tissue section examined that is expressed as the number of positive cells per mm\u003csup\u003e2\u003c/sup\u003e. Prism was used for graphing and statistical analysis using a Kruskal-Wallis nonparametric test.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/aefc2ece1f9b29783299b35b.png"},{"id":83144177,"identity":"c693378d-011f-4348-bb62-da4aeb0f39ea","added_by":"auto","created_at":"2025-05-20 12:48:11","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":1146849,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSPION localized to CD163+ SIV-RNA+ gp41+ productively macrophage in the deep cervical lymph node \u003c/strong\u003e(a) SPION (green) localized to CD163+ macrophage (red) in the dCLN following i.c. injection and (b) SPION+ (green) gp41+ (red). (c) SPION+ SIV-RNA+ macrophages in the dCLN in an animal with AIDS and SIVE. Results in this panel are representative of n=2 animals with AIDS.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/a1a646747ef32521a06b2f92.png"},{"id":97178401,"identity":"8537caa1-256d-4611-8edb-f30592bfbb23","added_by":"auto","created_at":"2025-12-01 16:09:36","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":6842061,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6435804/v1/b54daf14-50bd-4b34-987d-5dc7884a519e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Simian Immunodeficiency Virus-Infected Macrophage Traffic Out of the Central Nervous System","fulltext":[{"header":"Summary","content":"\u003cp\u003eSPION+ macrophages can leave the CNS normally but accumulate with SIV. \u0026nbsp;SPION+ SIV+ are found in the CNS, at CNS borders, including optical nerve, and cribriform plate, and are outside the CNS in dcLN and dorsal route ganglia.\u0026nbsp;\u003c/p\u003e"},{"header":"Introduction","content":"\u003cp\u003eThe central nervous system and CNS are HIV infected early and late post-infection in the periphery even with ART(Williams et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2001\u003c/span\u003e, Zink et al., \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). HIV and SIV are detected early in the CNS and is associated with perivascular cuffs of macrophages; and later in CNS lesions with macrophage accumulation(Williams et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2001\u003c/span\u003e, Bednar et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Lackner et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e1991\u003c/span\u003e). We and others have shown that HIV and SIV are found within CNS perivascular macrophages, meningeal macrophages, and choroid plexus macrophages(Nowlin et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Williams et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). The biology of these cells is important to consider with regard to the CNS as a viral reservoir. The origins of monocytes and macrophages includes bone marrow cells that traffic to the CNS normally and those derived from embryonic stem cells (yolk sac-derived) that repopulate within the CNS by cell division(Bechmann et al., 2001a, Goldmann et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Lassmann et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e1993\u003c/span\u003e, Hickey et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1992\u003c/span\u003e). Moreover, the biology of CNS inflammation, macrophage traffic in and out of the CNS normally and with HIV infection, is of critical interest.\u003c/p\u003e \u003cp\u003eThe majority of HIV and SIV-infected cells in the CNS are blood-derived, perivascular macrophages that are located at the blood-CSF interface. These macrophages are a key component of the CNS immune defense and, when infected, can become reservoirs for SIV and HIV(Williams et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2001\u003c/span\u003e, Kierdorf et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Once infected CNS macrophages can facilitate viral persistence and dissemination in the CNS and contribute to neuroinflammation and the development of neurocognitive disorders(Saylor et al., \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Williams and Hickey, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). The cerebrospinal fluid (CSF) is another route of CNS viral dissemination where infected cells travel through the bloodstream and migrate into the CNS either as part of normal repopulation or in response to infection(Bednar et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Clements et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2005\u003c/span\u003e, Zink et al., \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e1999\u003c/span\u003e). The trafficking of SIV or HIV-infected macrophages into the CNS is well-documented, but whether these cells can traffic out has significant implications for understanding HIV and SIV persistence and latency, as well as the challenges in eradicating these infections and is less well understood.\u003c/p\u003e \u003cp\u003eCounter to the dogma that the CNS lacked or had limited draining lymphatics(Proulx, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), it is now well established that CNS fluids\u0026mdash;and in some instances cells\u0026mdash;can drain or exit into the periphery(Aspelund et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Engelhardt et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Iliff et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, Kida et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1993\u003c/span\u003e, Ma et al., \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2017\u003c/span\u003e, Proulx, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Radiolabeled proteins and fluorescence dyes injected intracisternally and fluorescent-labeled antigen-presenting cells (APCs) transplanted into the CNS have been detected in deep cervical lymph nodes (dcLN)(Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e) likely having been trafficked via meningeal lymphatics. Such studies were done in normal non-inflamed or infected animals and in brain injury or autoimmune models(Da Mesquita et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2018\u003c/span\u003e, Louveau et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2018\u003c/span\u003e, Louveau et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Importantly, studies in rodents and non-human primates have demonstrated CNS myelin antigen-presenting macrophages and dendritic cells (APC) in lymph nodes with CNS myelin proteins, suggesting such cell traffic is important for maintaining tolerance to CNS antigens and autoimmune responses (experimental allergic encephalomyelitis (EAE) and multiple sclerosis)(Laman and Weller, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2013\u003c/span\u003e, van Zwam et al., \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2009\u003c/span\u003e, de Vos et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). Indeed, ablation of the meningeal lymphatics reduced clinical symptoms in EAE(Louveau et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). An alternative route for cells to exit the CNS is via the central canal and meninges of the spinal cord that connect the inner layers of the peripheral nerve root sheaths as they leave the spinal cord(Ma et al., \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Ligocki et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). This forms a direct connection near the root attachment, the subarachnoid angle, resulting in a continuous passage linking the cerebrospinal fluid-filled subarachnoid space (SAS) of the brain and spinal cord with the perineural space of the nerve roots(Ma et al., \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Jacob et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Ligocki et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). This path communicates with the dorsal root ganglia (DRG) at the interface of the CNS, the peripheral nervous system (PNS), and immune organs outside the CNS(Jacob et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Miura et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e1998\u003c/span\u003e, Hu and McLachlan, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). Prior studies, using transplanted and/or injected fluorescent-labeled cells, demonstrate they can leave the CNS. Such experimental rodent models are important and informative, but they have the caveat of inducing CNS injury, breach of the blood-brain barrier (BBB), or both, that can facilitate CNS inflammation (Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e, Aspelund et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Importantly, such studies have not been done to date in humans or non-human primates or with HIV or SIV infection.\u003c/p\u003e \u003cp\u003eIn this study, we injected superparamagnetic iron oxide nanoparticles (SPION) in normal and SIV-infected monkeys and studied their uptake and distribution within the CNS over time, and SPION\u0026thinsp;+\u0026thinsp;CNS macrophage traffic out of the CNS. Due to their size (0.86\u0026micro;m average diameter), SPION do not passively diffuse out of the CNS but are instead taken up by CNS macrophages in perivascular spaces, the meninges, and the choroid plexus from where they can exit. SPION\u0026thinsp;+\u0026thinsp;macrophages peak in the CNS 24 post ic inoculation and decrease with time in normal animals but accumulate in the CNS with SIV infection. SIPON\u0026thinsp;+\u0026thinsp;macrophages are found outside the CNS in dCLN and DRG, and there are greater numbers of these cells with normal animals than SIV infected animals. SPION\u0026thinsp;+\u0026thinsp;and SIV-RNA and gp41\u0026thinsp;+\u0026thinsp;SPION\u0026thinsp;+\u0026thinsp;macrophages are found outside the CNS in infected animals. Studies in this paper are the first to utilize i.c. SPION injections demonstrate the labeling, accumulation, and trafficking out of macrophage populations in infected animals. These findings underscore the ability of SPION\u0026thinsp;+\u0026thinsp;macrophages, labeled in the CNS, to traffic to peripheral lymph organs and the peripheral nervous system. These data are discussed in the context of CNS inflammation and resolution of infection, and HIV viral reservoirs.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eWe injected SPIONs (33 mg/ml) intracisternally (i.c.) into normal non-infected and SIV-infected animals and studied their uptake within CNS macrophages one hour (dextran and SPION), 1 day (dextran and SPION) and 7-, 14-, and 28-days post injection (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). SPION-labeled cells were detected by bright-field microscopy, Prussian blue iron stain, or using the internal fluorescence of the SPION (data not shown) (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). Multiple SPION were taken up per labeled cells that are distributed within perivascular spaces, the meninges, and the choroid plexus (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). We do not find free (non-cell-associated) SPION in the CNS likely due to their size (0.86\u0026micro;m diameter) but scattered free SPION are found around meninges surrounding the brain and the DRG in the subarachnoid space contiguous with the central canal of the spinal cord and CSF (data below). Immunohistochemical (Prussian blue) and fluorescence (Dragon green) SPION are consistently taken up by CD68, CD163, and CD206 perivascular macrophages, meningeal macrophages, and choroid plexus (CP) macrophages (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). There is a consistent\u0026thinsp;\u0026gt;\u0026thinsp;2-fold increase in the number of SPION\u0026thinsp;+\u0026thinsp;meningeal versus SPION\u0026thinsp;+\u0026thinsp;perivascular macrophages, consistent with the greater overall number of total meningeal versus perivascular macrophages in each respective compartment (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). It is likely also that different fluid dynamics of CSF in the meninges versus than in the perivascular space(Srinivas et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e, Brown et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e, Ma et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e) account for differential SPION uptake in meningeal versus perivascular macrophages. Over time, there are decreased numbers of SPION\u0026thinsp;+\u0026thinsp;perivascular (p\u0026thinsp;=\u0026thinsp;0.06) and meningeal macrophages (p\u0026thinsp;=\u0026thinsp;0.09) in non-infected animals consistent with SPION-labeled cells leaving the CNS (Table 2). In contrast, in SIV-infected animals, there are increased numbers of SPION\u0026thinsp;+\u0026thinsp;macrophages in perivascular space and meninges consistent with CNS inflammation and macrophage accumulation (Table 2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1. Accumulation of SPION+ macrophage in the CNS over time.\u003c/strong\u003e Data are cell numbers (average+/-StDev) counted in whole tissue sections and expressed as cells per mm\u003csup\u003e2\u003c/sup\u003e. The total area examined is indicated and expressed as tissue area per mm\u003csup\u003e2\u003c/sup\u003e. The area of the meninges and parenchyma were obtained by tiling and hand-drawing around each ROI. The total number of SPION+ macrophages counted is shown in parentheses. A minimum of 4 sections per animal were examined. Prism was used for graphing and statistical analysis Kruskal-Wallis nonparametric test.\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003cimg 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\" style=\"width: 477px;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. SPION+ macrophage outside the CNS over time.\u003c/strong\u003e Data are cell numbers (average+/-StDev) counted in n=10 fields of view at 40x magnification expressed as the number of cells per mm\u003csup\u003e2\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 718px;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eNext, we studied SPION\u0026thinsp;+\u0026thinsp;macrophages exiting the CNS. We find SPION\u0026thinsp;+\u0026thinsp;macrophages in the optic nerve, nasal septum, cribriform plate, at the interface border of the CNS (border associated macrophages, BAM), and outside the CNS in the superficial and dcLN, spleen, and dorsal root ganglia (cervical, thoracic and lumbar, DRG) 1-, 7-, 14-, and 28-days post SPION inoculation in non-infected and SIV infected animals (Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). To assess the distribution of cells and fluid leaving the CNS, we injected soluble fluorescence-labeled dextran and SPION together in a subset of animals (i.c.) (n\u0026thinsp;=\u0026thinsp;2). Fluorescently labeled dextran dye is found in the dcLN 1 hour after i.c. inoculation in the medullary sinuses, but SPION\u0026thinsp;+\u0026thinsp;macrophages are not detected until 24 hr post i.c. inoculation and is in the paracortex (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). The 24-hour time lag between finding injected soluble-dextran versus SPION\u0026thinsp;+\u0026thinsp;macrophages is consistent with macrophage uptake of SPION in the CNS and their traffic out to the LN. In addition to dcLN, SPION\u0026thinsp;+\u0026thinsp;positive macrophages are found within the optic nerve, cribriform plate, axillary LN, spleen, and DRG (cervical, thoracic, lumber) 7\u0026ndash;28 days post-inoculation in non-infected animals that have no CNS inflammation (Table\u0026nbsp;2). SPION\u0026thinsp;+\u0026thinsp;macrophages within the optic nerves are in the perineurium and within the nerve fascicles (Wallis, et al. 2024 under review). In addition, SPION\u0026thinsp;+\u0026thinsp;macrophages in the choroid plexus are located in the stroma and within Kolmer macrophages on the apical side (Wallis, et al. 2024). With SIV infection there are decreased numbers of SPION\u0026thinsp;+\u0026thinsp;macrophages in peripheral sites and a trend of accumulation in the CNS (Table\u0026nbsp;2). Overall, these data, similar to the observations in the CNS suggest that SPION-labeled macrophages leave the CNS at a higher rate in non-infected animals but accumulate in the CNS with SIV infection and CNS inflammation.\u003c/p\u003e\n\u003cp\u003eUsing the internal fluorescence of SPION and andti-SIVgp41 and SIV-RNA probes, we find SPION\u0026thinsp;+\u0026thinsp;SIVgp41\u0026thinsp;+\u0026thinsp;and SIV-RNA\u0026thinsp;+\u0026thinsp;macrophages in the CNS, and outside the CNS in dcLN in SIV infected animals, and SIV infected animals with AIDS (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). Serial section and double label IF, show these are CD163\u0026thinsp;+\u0026thinsp;SIVgp41+ (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). In AIDS animals with SIVE, we find SPION\u0026thinsp;+\u0026thinsp;SIV-RNA\u0026thinsp;+\u0026thinsp;macrophages (20 to 50 SPION\u0026thinsp;+\u0026thinsp;SIV-RNA\u0026thinsp;+\u0026thinsp;cells per dcLN section, 1.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7 SPION\u0026thinsp;+\u0026thinsp;SIV-RNA+/mm\u003csup\u003e2\u003c/sup\u003e) inside of the CNS and in the dcLN (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). These data are consistent with SPION-labeled macrophages that were in the CNS that are productively SIV-infected. Whether these are SIV-infected in the CNS and carried SIV-RNA and DNA out, or if they were infected upon leaving the CNS is not determined in this study.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this study we injected SPION i.c. and assessed their distribution within the CNS over time in normal and SIV infected animals. We found SPIONS in PV macrophages, macrophages in the meninges, and CP that are CD163, CD206, CD68, and in some cases Iba1 positive. There were a greater number of SPION-labeled macrophages within the meninges than the PV macrophages, likely a consequence of greater number of total macrophages in the meninges and also the rate of fluid speed and SPION interaction with macrophages in the meninges versus the PV space (Srinivas et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2021\u003c/span\u003e, Brown et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Ma et al., \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Additionally, macrophages in the meninges consistently had larger numbers of SPION than PV macrophages which may alter their macrophage to traffic (Delcroix et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2009\u003c/span\u003e, Jendelov\u0026aacute; et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). This is likely to the different biology of macrophages in the meninges versus the perivascular space where meningeal macrophages are DC myeloid-like versus innate macrophages in the perivascular space (Williams and Burdo, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, Bechmann et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2001b\u003c/span\u003e). We found that the ratio of total macrophages versus SPION\u0026thinsp;+\u0026thinsp;macrophages in each compartment are relatively fixed in non-infected and SIV-infected animals. Outside the CNS we found SPION\u0026thinsp;+\u0026thinsp;macrophages in dcLN, far fewer in superficial LN, and found them in the spleen and DRG with greatest numbers in the DRG, consistent with the DRG being continuous with the subarachnoid space of the spinal cord and in contact with CSF into which the SPION were injected (Ligocki et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). In non-infected animals, there were higher numbers of SPION\u0026thinsp;+\u0026thinsp;macrophages 7 days after injection that normalized over time. With SIV infection, the number of SPION\u0026thinsp;+\u0026thinsp;macrophages in the CNS increased with the development of lesions and macrophage accumulation, and fewer SPION\u0026thinsp;+\u0026thinsp;macrophages were found that trafficked out. Importantly, almost all of the SPION in the CNS and outside were within macrophages and not ones that simply diffused out most likely due to the size of the SPION (Carare et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Others using SPION injected i.c. have similar findings (Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Our findings suggest that with SIV infection and macrophage accumulation in the CNS, there is an accumulation of SPION\u0026thinsp;+\u0026thinsp;macrophages. In contrast, in non-infected animals, the SPION\u0026thinsp;+\u0026thinsp;macrophages seem less likely to accumulate in the CNS and increased numbers are found outside of the CNS consistent with traffic out. Interestingly, in the present study, we find with ART more SPION\u0026thinsp;+\u0026thinsp;macrophages are found outside the CNS and fewer are inside, consistent with ART resolving CNS inflammation and more SPION\u0026thinsp;+\u0026thinsp;cells trafficking out (Wallis et al., submitted).\u003c/p\u003e \u003cp\u003eIn SIV infected animals, we found SPION\u0026thinsp;+\u0026thinsp;macrophages in the CNS and importantly outside the CNS in dcLN. In this study, we cannot ascertain whether they were infected within the CNS or outside. Work by our group and others use gene flow analysis and SIV sequencing demonstrate viral traffic from the CNS to tissues outside late in infection (Salemi et al., \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2005\u003c/span\u003e, Lamers et al., \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Such analysis would need to be done on a single cell level comparing CNS to peripheral viral sequences.\u003c/p\u003e \u003cp\u003eStudies in rodents using transplanted or injected (CSF) cells and dyes into the CNS support the notion that immune cells including DC, T cells and B cells and in some cases, monocytes can leave the CNS (Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e, Kida et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1993\u003c/span\u003e, Goldmann et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Karman et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2004\u003c/span\u003e, Laaker et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Those studies by the nature of injection and injury somewhat compromise the BBB and activated the brain (Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Our study reported here is the first to study macrophage traffic out to the periphery with SIV infection. Pathways by which cells can traffic out are many and have been described and reviewed by others (Laaker et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2023\u003c/span\u003e, Raper et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Lamers et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Da Mesquita et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2018\u003c/span\u003e, Frederick and Louveau, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Kanamori and Kipnis, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, das Neves et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). These include meningeal lymphatics and perineural pathways via the cribriform plate (Goldmann et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). It is interesting in this study that i.c. injected dextran are readily found outside the CNS in dcLN hours after administration but SPION\u0026thinsp;+\u0026thinsp;macrophages are not detected until 24 hours post i.c. inoculation. This is likely because of the size restriction of the SPION that do not readily leak out (Daneman and Prat, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Chen and Konofagou, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, Iliff et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2012\u003c/span\u003e) but are instead taken up by macrophage before they leave in contrast to dextran dyes that readily leak out. Also, the location of the SPION in the dcLN is different than dextran dye, suggesting differential pathways of fluid versus myeloid cell traffic (Laman and Weller, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2013\u003c/span\u003e, Hatterer et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2006\u003c/span\u003e, Girard et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWe and others have previously demonstrated in HIV-infected humans and SIV-infected monkeys that PV macrophages are a major site in the CNS of productive lentiviral infection (Williams et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2001\u003c/span\u003e, Nowlin et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Abreu et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In other work (Wallis et al., submitted 2024) we find ART effectively clears the CNS perivascular macrophage SIV infection and the majority of CNS meninges and CP macrophages, and following 4 weeks of ART interruption, CNS perivascular macrophages remain SIV\u0026mdash;RNA negative but there is a rebound in the number of SIV-RNA\u0026thinsp;+\u0026thinsp;meningeal macrophage and CP macrophages (Wallis, et al., 2024). Similarly, in the periphery, plasma virus is decreased, as it is in the spleen and dcLN, but interestingly not in the DRG. We and others have shown that the DRG appears to be less resistant to ART with macrophage accumulation and persistent activation despite ART (Wallis, et al., under review AJP, 2024)(Warfield et al., \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn this study, we now also show the macrophages in the CP also are targets. Others have previously noted early CP macrophage infected by HIV and SIV with aseptic meningitis but have generally not considered this to be a reservoir site (Falangola et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e1994\u003c/span\u003e, Hanly and Petito, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e1998\u003c/span\u003e, Chen et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2000\u003c/span\u003e). This however seems to be the case and might be a source of CSF virus as macrophages in the CP are close to both blood and CSF production, that subsequently baths the brain and spinal cord (Falangola et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e1994\u003c/span\u003e, Hanly and Petito, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e1998\u003c/span\u003e, Chen et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2000\u003c/span\u003e, Lackner et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e1991\u003c/span\u003e, Liu et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2000\u003c/span\u003e). Another site of interest is the DRG part of which is at the interface of the CNS and the PNS. SPION are abundant in the DRG that is in communication with the subarachnoid space of the spinal cord, and the subarachnoid angle surrounding the nerve sheath (McCabe and Low, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e1969\u003c/span\u003e, Hu and McLachlan, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). We find SPION within macrophages in the epineurium, and with fascicles of the nerve, suggesting a novel route of possible traffic of macrophages (Wallis et al., under review AJP, 2024). Importantly macrophages with SIV in the peripheral nerve and DRG are less affected by ART, unlike the spleen and dcLN. Thus, the DRG and peripheral and cranial nerves, which are still affected with HIV in PLWH on durable ART, deserve more investigation with regard to viral reservoirs and macrophage. It is important to note that Clements et al., show evidence of replication competent virus in monocytes of PLWH on ART (Abreu et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Veenhuis et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003ePossible short comings of our work include our use of CD8 depletion for a rapid AIDS model with high tissue pathology. Because of the CD8 depletion ART in this model, for this 3-4-month time period does not lower plasma virus to non-detectable levels. That said, many of the observations made in this model including sCD163 correlating with CNS and CVD pathology, SIV productive infection of PV macrophage in the CNS and CNS tissues, and neuronal injury of the CNS with SIV infection, as well as the ability to clear CNS infection with ART have been confirmed in humans prior to the advent of ART and in individuals on ART.\u003c/p\u003e \u003cp\u003eThis study investigates the distribution of SPION-labeled macrophages within the CNS of normal and SIV-infected animals over time. We found SPION-labeled macrophages primarily in the perivascular space (PVM), meninges, and choroid plexus (CP), identifying that meningeal macrophage had a greater accumulation of SPION than PVM. The data suggest that SIV infection leads to increased accumulation of SPION\u0026thinsp;+\u0026thinsp;macrophages in the CNS, while in non-infected animals, these macrophages traffic out of the CNS. We highlight the significance of SPION-labeled macrophages found in the dcLN, indicating traffic from the CNS, and underscore the need for further investigation into the role of macrophages in viral reservoirs and the impact of ART on CNS inflammation and reseeding of the viral reservoir in the periphery.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eEthics Statement\u003c/h2\u003e \u003cp\u003e All animal work was approved by the Tulane National Primate Research Center Care and Animal Use Committee. The TNRPC protocol number is 3767 and the animal welfare assurance number is P0310.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eAnimals and Viral Infection\u003c/strong\u003e \u003cp\u003e Sixteen rhesus macaques (Macaca mulatta) born and housed at the Tulane National Primate Research Center in strict adherence to the \"Guide for the Care and Use of Laboratory Animals\u0026rdquo; were used in this study (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Six are non-infected, 10 are SIV-infected with 2 animals used from an additional cohort that developed acquired immunodeficiency syndrome. Animals were intravenously inoculated (i.v) with a bolus of SIVmac251 viral swarm (20 ng of SIV gp41).\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eSPIONs and Dextran\u003c/strong\u003e \u003cp\u003eSuperparamagnetic iron oxide nanoparticles (SPION) were obtained from Bangs Laboratories Inc (Fishers, IN) (PSCOOHMag/Encapsulated, MEDG001). SPION are iron oxide nanospheres encapsulated in an inert polymer which contains a photoreactive fluorophore. The SPION used have an average particle size of 0.86\u0026micro;m diameter and internal fluorescence (Dragon Green [480/520]). SPION were prepared under sterile conditions using 3 mL of stock solution and 7 mL of sterile, low endotoxin phosphate-buffered saline (PBS). SPIONs were resuspended in 1mL of sterile PBS for a final concentration of 33 mg/mL. Select animals (n\u0026thinsp;=\u0026thinsp;2) also received fluorescent dextran (RITC-Dextran, 10 KD, Invitrogen, CA) i.c at a concentration of 50 mg/mL.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eIntracisternal (i.c) Inoculation into the third ventricle\u003c/strong\u003e \u003cp\u003eTo avoid an increase in intracranial pressure, 1 mL of cerebrospinal fluid was removed from the cisterna magna prior to inoculations of equivalent volume. 1 mL of SPION (33mg/mL) was injected over a 5-minute period.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eTissue Collection and Processing\u003c/b\u003e: Animals were anesthetized with ketamine-HCl and euthanized with i.v. pentobarbital overdose and exsanguinated. Blood was collected and Heparin Sulfate was administered i.v. and allowed 5 minutes to diffuse. Sodium pentobarbital was administered via intracardiac injection and CSF was collected. Following CSF collection, animals underwent perfusion with 3L of 1XPBS. Postmortem examination was performed by a veterinary pathologist as previously described [33, 34, 52, 85]. Brain (frontal, temporal, occipital, parietal, and choroid plexus) and peripheral tissues (cranial nerves, cribriform plate, nasal septum, brachial plexus, spleen, dcLN, superficial LNs, axillary LNs) were: i) collected in zinc-buffered formalin and embedded in paraffin, ii) fixed with 2% paraformaldehyde for 4\u0026ndash;48 hours, sucrose protected and embedded in optimal cutting temperature (OCT) compound for SPION analysis, or iii) snap frozen in OCT without fixation.\u003c/p\u003e \u003cp\u003e \u003cb\u003eImmunohistochemistry\u003c/b\u003e: IHC was performed as previously described using antibodies targeting CD163 (1:250, Leica (Deer Park, IL)), CD68 (1:100, DAKO (Carpinteria, CA)), CD206 (1:1000, R\u0026amp;D Systems (Minneapolis, MN)), and IBA1 macrophages (1:100, Wako (Osaka, Japan)) [33, 34, 85]. Briefly, formalin-fixed paraffin-embedded sections were de-paraffinized and rehydrated followed by antigen retrieval with a citrate-based Antigen Unmasking Solution (Vector Laboratories, Burlingame, CA) in a microwave (900 W) for 20 min. After cooling for 20 min, sections were washed with Tris-buffered saline (TBS) containing 0.05% Tween-20 for 5 minutes before incubation with peroxidase block (DAKO, Carpinteria, CA) followed by protein block (DAKO, Carpinteria, CA) for 30 minutes and incubation with primary antibody. Following incubation with a peroxidase-conjugated polymer, slides were developed using a diaminobenzidine chromogen (DAKO, Carpinteria, CA) with Harris Hematoxylin (StatLab, McKinney, TX).\u003c/p\u003e \u003cp\u003e\u003cb\u003eImmunofluorescence\u003c/b\u003e: Antibodies targeting CD163 (NCL-CD163, Leica Biosystems (Deer Park, IL)) and gp41 envelope protein (KK41, NIH (Manassas, VA)) were used on 2% paraformaldehyde (PFA) fixed frozen sections as previously described (Nowlin et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2015\u003c/span\u003e, Soulas et al., \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2011\u003c/span\u003e, White et al., \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). 2% PFA, fixed frozen sections were thawed for 20 minutes at room temperature, unwrapped, submerged in a citrate-based Antigen Unmasking Solution, and microwaved for one minute and forty-five seconds and cooled to room temperature. Slides were permeabilized in a solution of phosphate-buffered saline with 0.01% Triton X-100 and 0.02% fish skin gelatin (PBS-FSG-TX100) followed by a PBS-FSG wash, transferred to a humidified chamber and blocked with 10% normal goat serum (NGS) diluted in PBS-FSG for 40 minutes, followed by a 60-minute primary antibody incubation, washes, and 40-minute secondary antibody incubation. Routine washes were performed and DAPI nuclear stain added for 10 minutes. Slides were mounted using a custom-formulated anti-quenching mounting media containing Mowiol (#475904, Calbiochem; San Diego, CA) and DABCO (#D2522, Sigma: St. Louis, MO) and allowed to dry overnight before being digitally imaged with a Zeiss Axio Scan.Z1. HALO software (HALO v3.4, Indica Labs; Albuquerque, NM) was used for quantification and analysis.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eDetection and quantification of SPION\u0026thinsp;+\u0026thinsp;macrophages in tissues\u003c/strong\u003e \u003cp\u003eSPIONs were detected in the central nervous system (CNS) and peripheral tissues by 1) light microscopy by morphology of the amber SPION beads, 2) Prussian blue iron staining (Sigma Aldrich Iron Stain, St. Louis, MO), and 3) internal fluorescence of Dragon Green. SPION\u0026thinsp;+\u0026thinsp;cells in whole tissue sections were counted manually at 20x by light microscopy (Plan-Apochromat 620/0.7, Olympus; Japan) in a blinded fashion. Whole section tiling, and stitching was done using a Zeiss Axio Imager M1 microscope (Zeiss;Oberkochen, Germany) with AxioVision (Version 4.8, Zeiss; Oberkochen, Germany) using Plan-Apochromat 620/0.8 and 640/0.95 Korr objectives followed by manual annotation of the parenchyma from the meninges into separate regions of interest (ROIs) and tissue area reported as mm\u003csup\u003e2\u003c/sup\u003e.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eViral RNA and Detection\u003c/strong\u003e \u003cp\u003eUltrasensitive SIV-RNAscope with probes for SIVmac251 was used to detect SPION-containing SIV-RNA positive cells within and outside of the CNS as previously described (White et al., \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Tissue sections were placed in a target antigen retrieval solution, heated, and treated with protease plus, and a hydrogen peroxide blocker according to the manufacturer\u0026rsquo;s protocol (Advanced Cell Diagnostics, Newark, CA). SIVmac239 RNAscope probes (Advanced Cell Diagnostics, Newark, CA) were hybridized at 40\u0026deg;C in the HybEZ II Hybridization System. The RNAscope 2.5 HD Assay amplification steps were applied according to the manufacturer\u0026rsquo;s protocol. Target RNA was visualized through the addition of chromogenic Fast Red A and Fast Red B (Advanced Cell Diagnostics, Newark, CA), and sections were counterstained with hematoxylin (Sigma-Aldrich) and mounted using Vectamount (Vector Laboratories).\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate:\u0026nbsp;\u003c/strong\u003eThis study did not use any human participants or specimens. \u0026nbsp;This study used non-human primates. \u0026nbsp;All animal work was done in strict adherence to the \"Guide for the Care and Use of Laboratory Animals” and was approved by Tulane Universities’, Tulane National Primate Research Center (TNRPC) \u0026nbsp;Care and Animal Use Committee, New Orleans, LA, USA. \u0026nbsp; The Animal Use Committee approved specific protocols and procedures for animal use based on the Ethical Use of Animals Standards. \u0026nbsp; The TNRPC protocol number is 3767 and the animal welfare assurance number is P0310\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication:\u0026nbsp;\u003c/strong\u003eNot Applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u0026nbsp;\u003c/strong\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Set Availability\u003c/strong\u003e\u003cstrong\u003e:\u0026nbsp;\u003c/strong\u003eData sharing is not applicable to this article as no datasets were generated or analyzed during the current study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eWork in this publication was supported in part by\u0026nbsp;funding from the National Institutes of Health, NINDS, NIH RO1 NS040237 (K.W.) and\u0026nbsp;RO1NS126091(K.W.)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors Contributions:\u003c/strong\u003e Conceptualization, K.C.W., and X.A.; Obtained and analyzed data and images, X.A., Z.K.W. J.M., and C.C.M.; writing—original draft preparation, X.A., and Z.K.W.; writing—review and editing, K.C.W., Z.K.W., and P.J.D.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements:\u0026nbsp;\u003c/strong\u003eNot Applicable.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eABREU C, BECK SHIRKENQUEENSE, MANGUS SE, GAMA LMPATEKAMMANKOWSKIJL, L., CLEMENTS JE (2019) Brain macrophages harbor latent, infectious simian immunodeficiency virus. Aids 33(Suppl 2):S181\u0026ndash;s188\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eASPELUND A, ANTILA S, KARLSEN PROULXST, KARAMAN TV, DETMAR S, WIIG M, H., ALITALO K (2015) A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules. J Exp Med 212:991\u0026ndash;999\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBECHMANN I, KWIDZINSKI E, KOVAC AD, SIMBURGER E, HORVATH T, PRILLER GIMSAUDIRNAGLU, J., NITSCH R 2001a. Turnover of rat brain perivascular cells. Exp Neurol, 168, 242\u0026ndash;249\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBECHMANN I, KOVAC PRILLERJ, BONTERT A, WEHNER M, STUSCHKE TKLETTFFBOHSUNGJ, DIRNAGL M, U., NITSCH R (2001b) Immune surveillance of mouse brain perivascular spaces by blood-borne macrophages. Eur J Neurosci 14:1651\u0026ndash;1658\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBEDNAR MM, DUKHOVLINOVA STURDEVANTCBTOMPKINSLAARRILDTKT, E., KINCER, L. P., SWANSTROM R (2015) Compartmentalization, Viral Evolution, and Viral Latency of HIV in the CNS. Curr HIV/AIDS Rep 12:262\u0026ndash;271\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBROWN TD, HABIBI N, WU D, LAHANN J, MITRAGOTRI S (2020) Effect of Nanoparticle Composition, Size, Shape, and Stiffness on Penetration Across the Blood\u0026ndash;Brain Barrier. ACS Biomaterials Sci Eng 6:4916\u0026ndash;4928\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCARARE RO, BERNARDES-SILVA M, PAGE NEWMANTA, PERRY AMNICOLLJA, V. H., WELLER RO (2008) Solutes, but not cells, drain from the brain parenchyma along basement membranes of capillaries and arteries: significance for cerebral amyloid angiopathy and neuroimmunology. Neuropathol Appl Neurobiol 34:131\u0026ndash;144\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCHEN H, KONOFAGOU EE (2014) The size of blood-brain barrier opening induced by focused ultrasound is dictated by the acoustic pressure. J Cereb Blood Flow Metab 34:1197\u0026ndash;1204\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCHEN H, WOOD C, PETITO CK (2000) Comparisons of HIV-1 viral sequences in brain, choroid plexus and spleen: potential role of choroid plexus in the pathogenesis of HIV encephalitis. J Neurovirol 6:498\u0026ndash;506\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCLEMENTS JE, LI M, BULLOCK GAMAL, CARRUTH B, L. M., MANKOWSKI, J. L., ZINK MC (2005) The central nervous system is a viral reservoir in simian immunodeficiency virus\u0026ndash;infected macaques on combined antiretroviral therapy: a model for human immunodeficiency virus patients on highly active antiretroviral therapy. J Neurovirol 11:180\u0026ndash;189\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDA MESQUITA S, VACCARI LOUVEAUA, SMIRNOV A, CONTARINO ICORNELISONRCKINGSMOREKM, ONENGUT-GUMUSCU C, RAPER SFARBERE, BAKER DVIARKEPOWELLRD, DABHI W, CAO NBAIR, MUNSON RHUSRICHSS, J. M., LOPES, M. B., OVERALL, C. C., ACTON, S. T., KIPNIS J (2018) Functional aspects of meningeal lymphatics in ageing and Alzheimer's disease. \u003cem\u003eNature\u003c/em\u003e, 560, 185\u0026ndash;191\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDANEMAN R, PRAT A (2015) The blood-brain barrier. Cold Spring Harb Perspect Biol 7:a020412\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDAS NEVES SP, DELIVANOGLOU N, DA MESQUITA S (2021) CNS-Draining Meningeal Lymphatic Vasculature: Roles, Conundrums and Future Challenges. Front Pharmacol 12:655052\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDE VOS AF, VAN MEURS M, BOVEN BROKHP, VAN DER VALK LAHINTZENRQ, RAVID P, RENSING R, BOON S, HART LT, B. A., LAMAN JD (2002) Transfer of central nervous system autoantigens and presentation in secondary lymphoid organs. J Immunol 169:5415\u0026ndash;5423\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDELCROIX GJ, JACQUART M, LEMAIRE L, SINDJI L, FRANCONI F, JEUNE LE, J. J., MONTERO-MENEI CN (2009) Mesenchymal and neural stem cells labeled with HEDP-coated SPIO nanoparticles: in vitro characterization and migration potential in rat brain. Brain Res 1255:18\u0026ndash;31\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eENGELHARDT B, FL\u0026uuml;GEL CARAREROBECHMANNI, A., LAMAN, J. D., WELLER RO (2016) Vascular, glial, and lymphatic immune gateways of the central nervous system. Acta Neuropathol 132:317\u0026ndash;338\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFALANGOLA MF, CASTRO-FILHO BG, PETITO CK (1994) Immune complex deposition in the choroid plexus of patients with acquired immunodeficiency syndrome. Ann Neurol 36:437\u0026ndash;440\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFREDERICK N, LOUVEAU A (2020) Meningeal lymphatics, immunity and neuroinflammation. Curr Opin Neurobiol 62:41\u0026ndash;47\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGIRARD J-P, MOUSSION C, F\u0026ouml;RSTER R (2012) HEVs, lymphatics and homeostatic immune cell trafficking in lymph nodes. Nat Rev Immunol 12:762\u0026ndash;773\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGOLDMANN J, KWIDZINSKI E, BRANDT C, RICHTER MAHLOJ, D., BECHMANN I (2006) T cells traffic from brain to cervical lymph nodes via the cribroid plate and the nasal mucosa. J Leukoc Biol 80:797\u0026ndash;801\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGOLDMANN T, JORD\u0026atilde;O WIEGHOFERP, PRUTEK MJ, HAGEMEYER F, FRENZEL N, AMANN K, KRUEGER LSTASZEWSKIOKIERDORFK, LOCATELLI M, EPELMAN GHOCHGERNERHZEISERR, GEISSMANN S, BECHMANN FPRILLERJROSSIFM, I., KERSCHENSTEINER, M., LINNARSSON, S., JUNG, S., PRINZ M (2016) Origin, fate and dynamics of macrophages at central nervous system interfaces. \u003cem\u003eNat Immunol\u003c/em\u003e, 17, 797\u0026ndash;805\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHANLY A, PETITO CK (1998) HLA-DR-positive dendritic cells of the normal human choroid plexus: a potential reservoir of HIV in the central nervous system. Hum Pathol 29:88\u0026ndash;93\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHATTERER E, DAVOUST N, DIDIER-BAZES M, BELIN VUAILLATCMALCUSC, M. F., NATAF S (2006) How to drain without lymphatics? Dendritic cells migrate from the cerebrospinal fluid to the B-cell follicles of cervical lymph nodes. Blood 107:806\u0026ndash;812\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHATTERER E, TOURET M, BELIN MF, HONNORAT, J., NATAF S (2008) Cerebrospinal fluid dendritic cells infiltrate the brain parenchyma and target the cervical lymph nodes under neuroinflammatory conditions. PLoS ONE 3:e3321\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHICKEY WF, VASS K, LASSMANN H (1992) Bone marrow-derived elements in the central nervous system: an immunohistochemical and ultrastructural survey of rat chimeras. J Neuropathol Exp Neurol 51:246\u0026ndash;256\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHU P, MCLACHLAN EM (2002) Macrophage and lymphocyte invasion of dorsal root ganglia after peripheral nerve lesions in the rat. Neuroscience 112:23\u0026ndash;38\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eILIFF JJ, WANG M, LIAO Y, PENG PLOGGBA, BENVENISTE WGUNDERSENGA, DEANE HVATESGE, R., GOLDMAN, S. A., NAGELHUS, E. A., NEDERGAARD M (2012) A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci Transl Med 4:147ra111\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJACOB L, GERALDO BOISSERANDLSB, DE BRITO NETO LHM, MATHIVET J, ANTILA T, XU SBARKAB, SONG YTHOMASJ-MPESTELJAIGROTM-S, E., NURMI, H.,A., THOMAS J-L (2019) Anatomy and function of the vertebral column lymphatic network in mice. Nat Commun 10:4594 LEE, S., ALITALO, K., RENIER, N., EICHMANN\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJENDELOV\u0026aacute; P, URDZ\u0026iacute;KOV\u0026aacute; HERYNEKV, GLOGAROV\u0026aacute; L, KROUPOV\u0026aacute; K, BRYJA JANDERSSONB, H\u0026aacute;JEK VBURIANM, M., SYKOV\u0026aacute; E (2004) Magnetic resonance tracking of transplanted bone marrow and embryonic stem cells labeled by iron oxide nanoparticles in rat brain and spinal cord. J Neurosci Res 76:232\u0026ndash;243\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKANAMORI M, KIPNIS J (2020) Meningeal lymphatics drain brain tumors. Cell Res 30:191\u0026ndash;192\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKARMAN J, LING C, SANDOR M, FABRY Z (2004) Initiation of immune responses in brain is promoted by local dendritic cells. J Immunol 173:2353\u0026ndash;2361\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKIDA S, PANTAZIS A, WELLER RO (1993) CSF drains directly from the subarachnoid space into nasal lymphatics in the rat. Anatomy, histology and immunological significance. Neuropathol Appl Neurobiol 19:480\u0026ndash;488\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKIERDORF K, JORD\u0026atilde;O MASUDAT, M. J. C., PRINZ M (2019) Macrophages at CNS interfaces: ontogeny and function in health and disease. Nat Rev Neurosci 20:547\u0026ndash;562\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLAAKER C, KOV\u0026aacute;CS BAENENC, SANDOR KG, M., FABRY Z (2023) Immune cells as messengers from the CNS to the periphery: the role of the meningeal lymphatic system in immune cell migration from the CNS. Front Immunol 14:1233908\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLACKNER AA, SMITH MO, GARDNER MUNNRJMARTFELDDJ, M. B., MARX, P. A., DANDEKAR S (1991) Localization of simian immunodeficiency virus in the central nervous system of rhesus monkeys. Am J Pathol 139:609\u0026ndash;621\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLAMAN JD, WELLER RO (2013) Drainage of cells and soluble antigen from the CNS to regional lymph nodes. J Neuroimmune Pharmacol 8:840\u0026ndash;856\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLAMERS SL, GRAY RR, SALEMI M, HUYSENTRUYT, L. C., MCGRATH MS (2011) HIV-1 phylogenetic analysis shows HIV-1 transits through the meninges to brain and peripheral tissues. Infect Genet Evol 11:31\u0026ndash;37\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLAMERS SL, ROSE R, SALEMI NDHLOVULCNOLANDJ, M., MAIDJI, E., STODDART, C. A., MCGRATH MS (2016) The meningeal lymphatic system: a route for HIV brain migration? J Neurovirol 22:275\u0026ndash;281\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLASSMANN H, SCHMIED M, VASS K, HICKEY WF (1993) Bone marrow derived elements and resident microglia in brain inflammation. Glia 7:19\u0026ndash;24\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLIGOCKI AP, VINSON AV, SMITH YACHNISATDUNNWA, ALVAREZ-CASTANON DESCOTTEA, BAEZ JV, MONTALVO DE, FRISONE, O. G., BROWN, G. A. J., PESSA, J. E., SCOTT EW (2024) Cerebrospinal fluid flow extends to peripheral nerves further unifying the nervous system. Sci Adv 10:eadn3259\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLIU Y, TANG XP, SCOTT MCARTHURJC, J., GARTNER S (2000) Analysis of human immunodeficiency virus type 1 gp160 sequences from a patient with HIV dementia: evidence for monocyte trafficking into brain. J Neurovirol 6(Suppl 1):S70\u0026ndash;81\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLOUVEAU A, VIAR HERZJALMEMNSALVADORAFDONGMQ, LUPI KEHERODSGKNOPPJSETLIFFJC, MESQUITA AL, FROST S, CAO ELGAULTIERAHARRISTH, R., HU, S., LUKENS, J. R., SMIRNOV, I., OVERALL, C. C., OLIVER, G., KIPNIS J (2018) CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature. \u003cem\u003eNat Neurosci\u003c/em\u003e, 21, 1380\u0026ndash;1391\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLOUVEAU A, ANTILA PLOGBA, NEDERGAARD SALITALOK, M., KIPNIS J (2017) Understanding the functions and relationships of the glymphatic system and meningeal lymphatics. J Clin Invest 127:3210\u0026ndash;3219\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMA Q, DECKER Y, M\u0026uuml;LLER A, INEICHEN BV, PROULX ST (2019) Clearance of cerebrospinal fluid from the sacral spine through lymphatic vessels. J Exp Med 216:2492\u0026ndash;2502\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMA Q, INEICHEN BV, DETMAR M, PROULX ST (2017) Outflow of cerebrospinal fluid is predominantly through lymphatic vessels and is reduced in aged mice. Nat Commun 8:1434\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMCCABE JS, LOW FN (1969) The subarachnoid angle: An area of transition in peripheral nerve. Anat Rec 164:15\u0026ndash;33\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMIURA M, KATO S, VON L\u0026uuml;DINGHAUSEN M (1998) Lymphatic drainage of the cerebrospinal fluid from monkey spinal meninges with special reference to the distribution of the epidural lymphatics. Arch Histol Cytol 61:277\u0026ndash;286\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNOWLIN BT, BURDO TH, MIDKIFF CC, SALEMI M, ALVAREZ X, WILLIAMS KC (2015) SIV encephalitis lesions are composed of CD163(+) macrophages present in the central nervous system during early SIV infection and SIV-positive macrophages recruited terminally with AIDS. Am J Pathol 185:1649\u0026ndash;1665\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePROULX ST (2021) Cerebrospinal fluid outflow: a review of the historical and contemporary evidence for arachnoid villi, perineural routes, and dural lymphatics. Cell Mol Life Sci 78:2429\u0026ndash;2457\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRAPER D, LOUVEAU A, KIPNIS J (2016) How Do Meningeal Lymphatic Vessels Drain the CNS? Trends Neurosci 39:581\u0026ndash;586\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSALEMI M, LAMERS SL, YU S, DE OLIVEIRA T, FITCH WM, MCGRATH MS (2005) Phylodynamic analysis of human immunodeficiency virus type 1 in distinct brain compartments provides a model for the neuropathogenesis of AIDS. J Virol 79:11343\u0026ndash;11352\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSAYLOR D, SACKTOR DICKENSAM, HAUGHEY N, PLETNIKOV NSLUSHERB, BROWN MMANKOWSKIJL, A., VOLSKY, D. J., MCARTHUR JC (2016) HIV-associated neurocognitive disorder \u0026mdash; pathogenesis and prospects for treatment. Nat Reviews Neurol 12:234\u0026ndash;248\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSOULAS C, KIM CONERLYC, BURDO WK, ALVAREZ TH, X., LACKNER, A. A., WILLIAMS KC (2011) Recently infiltrating MAC387(+) monocytes/macrophages a third macrophage population involved in SIV and HIV encephalitic lesion formation. Am J Pathol 178:2121\u0026ndash;2135\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSRINIVAS M, SHARMA P, JHUNJHUNWALA S (2021) Phagocytic Uptake of Polymeric Particles by Immune Cells under Flow Conditions. Mol Pharm 18:4501\u0026ndash;4510\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVAN ZWAM M, MELIEF HUIZINGAR, WIERENGA-WOLF MJ, VAN AF, MEURS M, H\u0026ouml;PKEN VOERMANJSBIBERKPBODDEKEHW, MEISEL UE, MEISEL C, BECHMANN A, HART IHINTZENRQT, AMOR BA, S., LAMAN, J. D., BOVEN LA (2009) Brain antigens in functionally distinct antigen-presenting cell populations in cervical lymph nodes in MS and EAE. J Mol Med (Berl) 87:273\u0026ndash;286\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVEENHUIS RT, FERREIRA ABREUCMCOSTAPAG, RATLIFF EA, POHLENZ J, GAMA LSHIRKENRUBINLHBLANKSONJN, L., CLEMENTS JE (2023) Monocyte-derived macrophages contain persistent latent HIV reservoirs. Nat Microbiol 8:833\u0026ndash;844\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWARFIELD R, PODGORSKI ROBINSONJA, R. M., MILLER, A. D., BURDO TH (2023) Neuroinflammation in the Dorsal Root Ganglia and Dorsal Horn Contributes to Persistence of Nociceptor Sensitization in SIV-Infected Antiretroviral Therapy-Treated Macaques. Am J Pathol 193:2017\u0026ndash;2030\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWHITE KS, WANG WALKERJA, AUTISSIER J, LI PMILLERADABUELEZANNNBURRACKR, Q., KIM, W. K., WILLIAMS KC (2023) Simian immunodeficiency virus-infected rhesus macaques with AIDS co-develop cardiovascular pathology and encephalitis. Front Immunol 14:1240946\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWILLIAMS K, BURDO TH (2012) Monocyte mobilization, activation markers, and unique macrophage populations in the brain: observations from SIV infected monkeys are informative with regard to pathogenic mechanisms of HIV infection in humans. J Neuroimmune Pharmacol 7:363\u0026ndash;371\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWILLIAMS KC, COREY S, WESTMORELAND SV, PAULEY D, ALVAREZ KNIGHTHDEBAKKERC, X., LACKNER AA (2001) Perivascular Macrophages Are the Primary Cell Type Productively Infected by Simian Immunodeficiency Virus in the Brains of Macaques: Implications for the Neuropathogenesis of AIDS. J Exp Med 193:905\u0026ndash;916\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWILLIAMS KC, HICKEY WF (2002) Central nervous system damage, monocytes and macrophages, and neurological disorders in AIDS. Annu Rev Neurosci 25:537\u0026ndash;562\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZINK MC, KELLY BRICEAK, GAMA KMQUEENSE, LI L, VARRONE MADAMSRJBARTIZALC, GRAHAM JRABISA, D. R., TARWATER, P. M., MANKOWSKI, J. L., CLEMENTS JE (2010) Simian Immunodeficiency Virus-Infected Macaques Treated with Highly Active Antiretroviral Therapy Have Reduced Central Nervous System Viral Replication and Inflammation but Persistence of Viral DNA. J Infect Dis 202:161\u0026ndash;170\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZINK MC, SURYANARAYANA K, SHEN MANKOWSKIJL, PIATAK A, CARTER MJRSPELMANJP, LIFSON DLADAMSRJ, J. D., CLEMENTS JE (1999) High viral load in the cerebrospinal fluid and brain correlates with severity of simian immunodeficiency virus encephalitis. J Virol 73:10480\u0026ndash;10488\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":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"acta-neuropathologica-communications","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"anec","sideBox":"Learn more about [Acta Neuropathologica Communications](https://actaneurocomms.biomedcentral.com/)","snPcode":"40478","submissionUrl":"https://submission.springernature.com/new-submission/40478/3","title":"Acta Neuropathologica Communications","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Monocytes, macrophage, HIV, SIV, cell-traffic","lastPublishedDoi":"10.21203/rs.3.rs-6435804/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6435804/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWe use intracisternal (i.c.) injection of fluorescent-superparamagnetic iron oxide nanoparticles (SPION) in SIV-infected monkeys that labeled CNS CD68-CD163-CD206 perivascular, meningeal, and choroid plexus (CP) macrophages. SPION\u0026thinsp;+\u0026thinsp;CD163\u0026thinsp;+\u0026thinsp;macrophages are also found in the optic nerves, nasal septum, and cribriform plate - potential sites-paths of macrophage exit. Outside the CNS CD163\u0026thinsp;+\u0026thinsp;SPION\u0026thinsp;+\u0026thinsp;macrophages labeled in the CNS are in deep cervical lymph node (dCLN), spleen, dorsal root ganglia (DRG). CD163\u0026thinsp;+\u0026thinsp;SPION\u0026thinsp;+\u0026thinsp;CNS macrophages are abundant 24 hours p.i. in normal animals and decrease over time without CNS inflammation, but accumulate with SIV infection and inflammation. Greater numbers of SPION\u0026thinsp;+\u0026thinsp;macrophages traffic out of the CNS in normal animals and decrease with infection. Productively infected, SPION\u0026thinsp;+\u0026thinsp;macrophages are found in the CNS and dCLN, spleen, and DRG of infected animals 7\u0026ndash;14 days post i.c. injection. These data are consistent with SPION\u0026thinsp;+\u0026thinsp;macrophages, some of which are viral infected, trafficking out of the CNS.\u003c/p\u003e","manuscriptTitle":"Simian Immunodeficiency Virus-Infected Macrophage Traffic Out of the Central Nervous System","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-20 12:48:06","doi":"10.21203/rs.3.rs-6435804/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-06-26T07:52:17+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-06-25T18:23:22+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-06-13T04:48:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"216338179118613596987268662901712387629","date":"2025-06-04T18:17:19+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"88129094409552358184648087540189698996","date":"2025-05-29T14:41:32+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-05-16T08:29:13+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-21T00:36:53+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-21T00:35:37+00:00","index":"","fulltext":""},{"type":"submitted","content":"Acta Neuropathologica Communications","date":"2025-04-12T16:54:52+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"acta-neuropathologica-communications","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"anec","sideBox":"Learn more about [Acta Neuropathologica Communications](https://actaneurocomms.biomedcentral.com/)","snPcode":"40478","submissionUrl":"https://submission.springernature.com/new-submission/40478/3","title":"Acta Neuropathologica Communications","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"adc3dda2-bdc3-4948-91dd-88e15d26c149","owner":[],"postedDate":"May 20th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-01T16:02:07+00:00","versionOfRecord":{"articleIdentity":"rs-6435804","link":"https://doi.org/10.1186/s40478-025-02179-6","journal":{"identity":"acta-neuropathologica-communications","isVorOnly":false,"title":"Acta Neuropathologica Communications"},"publishedOn":"2025-11-29 15:56:57","publishedOnDateReadable":"November 29th, 2025"},"versionCreatedAt":"2025-05-20 12:48:06","video":"","vorDoi":"10.1186/s40478-025-02179-6","vorDoiUrl":"https://doi.org/10.1186/s40478-025-02179-6","workflowStages":[]},"version":"v1","identity":"rs-6435804","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6435804","identity":"rs-6435804","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}