Alpha-synuclein deposition patterns in Alzheimer’s disease: association with cortical amyloid beta and variable tau load

Alpha-synuclein deposition patterns in Alzheimer’s disease: association with cortical amyloid beta and variable tau load | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Alpha-synuclein deposition patterns in Alzheimer’s disease: association with cortical amyloid beta and variable tau load Antonia Neubauer, Doris Weissenbrunner, Susanna Pekrun, Sigrun Roeber, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7022346/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Oct, 2025 Read the published version in Acta Neuropathologica → Version 1 posted 11 You are reading this latest preprint version Abstract Alpha-synuclein (α-syn) deposits are common in around half of the Alzheimer’s disease (AD) cases. While direct and indirect protein interactions are suggested, the relationships between different protein aggregates remain poorly understood. Here, we aimed to characterize α-syn, amyloid beta (Aβ), and tau load distributions of AD patients. Protein deposits were automatically quantified with random forest pixel classifiers in immunohistochemical stainings of up to 28 brain regions in 72 brains with advanced AD neuropathological change. α-syn negative cases were distinguished from amygdala predominant, brainstem predominant, and cortical α-syn positive cases. Relationships with age, sex, and ApoE genotype were examined. α-syn co-pathology was detected in 60% of AD cases, more frequently in women. Half of these positive cases presented α-syn deposits in the cortex, around one third predominantly in the amygdala, and the remaining cases primarily in the brainstem. A high α-syn load in the amygdala was associated with an increased cortical Aβ load. The cortical tau load was increased in the amygdala predominant α-syn group but decreased in the brainstem predominant and cortical α-syn cases in comparison with α-syn negative cases. ApoE4 was associated with higher hippocampal α-syn and cortical Aβ deposition. Younger age at death was associated with a focally higher Aβ and tau load. AD cases with cortical α-syn deposition tended to have a younger age at death. Here we show that next to age, sex, and ApoE genotype, the α-syn distribution in AD is related to different Aβ and tau loads. This may have therapeutic relevance for identifying patients who respond to Aβ immunotherapy related to tau burden and underpin the need to define α-syn pathology and distribution in early disease stages. Alzheimer’s disease Lewy body disease Mixed pathology Alpha-synuclein Immunohistochemistry Quantitative neuropathology Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Around 57 million people worldwide are affected by dementia, with Alzheimer’s disease (AD) as the most prevalent neurodegenerative disease [ 1 , 2 ] and Dementia with Lewy bodies (DLB) in second place [ 3 ]. Age and an ApoE4 allele are among the most important risk factors for AD and DLB [ 4 – 7 ]. Although these neurodegenerative diseases are often described with distinct clinical symptoms and varying neuropathological phenotypes, mixed disease forms are common [ 8 – 10 ]. The neuropathological hallmarks of AD are Amyloid β (Aβ) plaques and neurofibrillary tangles [ 2 ]. Aβ is a fragment of the amyloid precursor protein. According to Thal phases (1–5), Aβ plaques first appear in association cortices and in later stages in subcortical, brainstem, and cerebellum regions [ 11 ]. Tau is a microtubule-associated protein that, in its hyperphosphorylated form, is capable of forming aggregates such as neurofibrillary tangles. These tangles are initially observed in the transentorhinal region (stage I) and progressively appear in limbic and isocortical regions (stage VI) as classified by Braak and Braak [ 12 , 13 ]. The expansion of neurofibrillary tangles correlates with cognitive decline [ 14 ]. DLB is characterized by alpha-Synuclein (α-syn) aggregates in the form of intraneuronal Lewy bodies and Lewy neurites [ 15 ]. Physiologically, α-syn is a soluble protein at the presynaptic nerve terminals, participating in vesicular trafficking [ 16 , 17 ]. Lewy pathology can be classified according to Braak staging, which describes its distribution from the brainstem (stage 1) to the temporal mesocortex and ultimately to the neocortex (stage 6) [ 18 ], or consensus criteria by McKeith and colleagues [ 19 ]. Five main Lewy body distribution patterns were observed in brain autopsies: olfactory only, amygdala predominant, brainstem predominant, limbic, and neocortical [ 19 , 20 ]. Around 50% of AD patients present with α-syn co-pathology in addition to Aβ and tau deposits [ 10 , 21 – 23 ]. α-syn co-pathology is associated with an accelerated cognitive decline [ 24 – 26 ]. In AD cases, the α-syn deposits are often described in the amygdala and to a lesser extent in other brain regions like the brainstem, hippocampus, and neocortex [ 22 , 23 , 27 – 31 ]. Recently, increasing attention has been paid to the heterogeneity of α-syn distribution in AD [ 31 ]. An amygdala predominant and a caudo-rostral pattern were distinguished in AD cohorts and suggest an adverse association between amygdala predominant α-syn co-pathology and AD pathology [ 21 , 32 – 34 ]; however, detailed quantitative analyses of Aβ and tau are lacking. There are different associations described between α-syn, Aβ, and tau [ 35 ]. Histology and PET imaging studies propose positive correlations between α-syn co-pathology and Aβ and tau deposits in AD [ 36 , 37 ]. On a molecular level, there is evidence for α-syn inducing hyperphosphorylation and fibrillization of tau [ 38 , 39 ]. Mice experiments support the hypothesis of α-syn modulating tau spread [ 40 ]. Furthermore, human studies have revealed higher Aβ load in α-syn positive AD cases [ 41 ]. Aβ might lead to α-syn phosphorylation and a decreased degradation of α-syn and tau [ 42 , 43 ]. The extent of interactions occurring in humans has not been fully elucidated yet. In this study, we combine the analysis of AD with and without α-syn co-pathology with the evaluation of heterogeneity in α-syn deposit distribution for improved patient stratification. According to the observed relationships between α-syn, tau, and Aβ described in the literature, we hypothesized that 1) α-syn co-pathology is associated with a higher tau and Aβ load and 2) different α-syn distribution patterns are associated with divergent tau and Aβ loads. We applied automated immunohistochemical image analysis of α-syn, tau, and Aβ in extensively annotated brain regions in a large cohort of neuropathologically confirmed AD cases. We identified α-syn negative AD cases, amygdala predominant, brainstem predominant, and neocortical α-syn distribution patterns, and compared tau and Aβ load between these groups. Finally, the effects of age, sex, and ApoE genotype were examined. Materials and Methods Human cohort and neuropathological assessment All brain samples were acquired from the Neurobiobank Munich, including sporadic and genetic cases. Informed consent to use the brains was given by all brain donors when alive or by closest dependents following the patient’s presumed will. Brains were collected respecting the guidelines of the local ethics committee and the Code of Conduct of BrainNet Europe [ 44 ]. The use of the material for this project was approved by the Neurobiobank Munich committee. The study was conducted under the principles of the Declaration of Helsinki and in accordance with the local ethics committee. Neuropathological diagnostics were performed by at least two board-certified neuropathologists. In this study, AD cases (Braak and Braak stage IV to VI) with and without pathological α-syn burden, like Lewy bodies or Lewy neurites, were included. Notably, all cases with Braak and Braak stage IV had clinically symptomatic dementia. For standardized deposit quantification, this study focused on reproducibly identifiable brain regions that are part of the routine diagnostics at the Neurobiobank Munich. In total, 28 gray matter regions were selected, including cortical, subcortical, cerebellar, and brainstem regions (see Fig. 1 ). For economic and sustainability reasons, not every brain region was stained for every case. In particular, cases without pathological α-syn in the amygdala and brainstem regions did not necessarily receive α-syn assessment of all other brain regions. Diaminobenzidine stainings of formalin fixed and paraffin embedded tissue were conducted with the monoclonal antibody AT8 for phosphorylated tau staining (ThermoFisher, #MN1020), the monoclonal antibody, clone 4G8, for Aβ (BioLegend, #800711), and the monoclonal α-syn antibody clone 42 (abcam, ab280377). Stainings were digitized with a Zeiss Axio Scan Z.1 scanner with a magnification of 20, resulting in a pixel size of 0.22*0.22 µm². The ApoE status was obtained through whole genome sequencing. Briefly, DNA was isolated from 1 cm 3 large tissue cubes taken from fresh-frozen cerebellum using the QIAmp DNA Mini Kit (Qiagen, 51304). Library preparation was performed with the TruSeq PCR-free genomic DNA library prep kit (Illumina, FC-121-3003) according to the manufacturer’s instructions. Libraries underwent 2x150 bp paired-end sequencing on an Illumina NovaSeq machine until a minimum depth of 35X was reached. Alignment and variant calling were performed using a Snakemake pipeline incorporating the GATK best practices. After FastQC and adapter trimming, alignment to the hs1/T2T genome assembly (chm13v2.0) was performed with BWA-MEM2. Variant calling, recalibration and joint genotyping were done using GATK version 4.0. Subsequently, the APOE genotype was defined by concatenating the APOE-defining variants (rsID/hs1 coordinates: rs429358/chr19:47733380; rs7412/chr19:47733518). Image analysis The region annotation was conducted manually in Qupath (version 0.5.1) [ 45 ] in α-syn stainings where available and tau stainings as a second choice. The regions were labeled following a protocol to reproducibly set the location and size of the annotations (Supplementary Table 1). In cases with staining artefacts or large blood vessels, the nearest appropriate region was selected in accordance with the protocol. Samples with substantial artefacts or lacking clear orientation to define the region of interest were not included in further analysis. For substantia nigra and locus coeruleus, two representative areas were chosen for each staining, respectively, avoiding pigmented neurons to prevent false positive pixels in the subsequent analysis. Region annotations were transferred from the α-syn stainings to Aβ and tau stainings with non-rigid registration by Deeperhistreg in Python (Python version 3.10.12) [ 46 – 48 ]. For this co-registration, the whole-slide images were downsampled by a factor of 30 to reduce the computing load. All region annotations were visually inspected after transfer and upsampling and manually corrected if necessary. Deposit detection The annotated regions were divided into tiles of 4096*4096 pixels (900*900 µm²) to reach a reasonable computing capacity. The preprocessing of the tiles included color deconvolution to extract the brown diaminobenzidine signal and conversion to gray-scale images, implemented in Python (Python version 3.10.12). These preprocessed images were then classified pixel-wise with a random forest pixel classifier trained with ilastik (version: ilastik-1.4.0.post1-Linux) for each staining (α-syn, Aβ, tau), separately. The models were trained with ten images from different brains and regions with variable deposit load. The α-syn model was optimized to detect dense deposits, mainly Lewy bodies and distinct Lewy neurites, while not labeling physiological synaptic α-syn staining. A threshold of 0.7 was chosen for all random forest classifier models. The output of the random forest pixel classifiers is a pixel-wise binary segmentation of deposits. The proportion of the positively stained area relative to the total tile area is called covered area or load interchangeably. In a subsequent step, the models were tested using ten independent images from different subjects and regions and were inspected individually. For additional validation, an individual random forest classifier model was created in ilastik for each testing image to gain a reference standard. The results of the previously trained models were compared to these references and evaluated in terms of how many pixels were classified correctly (prediction accuracy) and how close the values of the absolute covered area matched the covered area in the reference independently from the exact localization of the pixels (area accuracy) (Supplementary Fig. 1). Definition of α-syn groups and subgroups in AD Alzheimer’s disease patients are heterogeneous regarding their α-syn load. The simplest distinguishing criterion is α-syn deposit negative ( αSyn- ) vs. positive ( αSyn+ ). Since the α-syn extent represents a smooth transition and might vary in some borderline cases, we defined a threshold of ≥ 0.3% α-syn covered area in the individually most affected brain region to label a case as αSyn+ (Fig. 1 ). As a minimum requirement, all cases assigned αSyn- needed to have at least an α-syn staining of the amygdala region as this is one of the most affected brain areas by α-syn in AD. However, as described before [ 19 , 20 ], different α-syn distribution patterns exist, with a focus on brainstem, cortical, and amygdala predominant forms. To identify these patterns, the threshold of ≥ 0.3% α-syn covered area was also applied to the mean of the most affected cortical regions (cingulate gyrus, superior and medial temporal gyrus, and insula cortex) and the brainstem (value of substantia nigra or locus coeruleus or mean of both if they were available). Based on these thresholds, the αSyn + group was further divided into three subgroups, namely αSyn + A , with an amygdala predominant α-syn deposition, αSyn + B , with a brainstem predominant α-syn load, and αSyn + C , with cortical α-syn deposits. Statistical analysis Epidemiological data between α-syn distribution groups were compared with a Mann-Whitney U test or Kruskal-Wallis test for continuous data, and a chi-squared test for categorical data. α-syn, Aβ, and tau loads of groups and subgroups of AD patients were compared with multiple linear regression to control for age and sex. Five clusters of brain regions were defined to condense the large number of regions, namely, cortical, subcortical, hippocampal, brainstem, and amygdala-entorhinal cluster (Fig. 1 ), leading to the following formula for each region cluster, respectively: Covered area ~ (sub-)group name + region name + sex + age “Covered area” is the covered area/load of α-syn, Aβ, or tau. “(Sub-)group name” represents the name of the α-syn group or subgroup defined by thresholds (see “Definition of α-syn groups and subgroups in AD” and Fig. 1 ). Groups/subgroups were compared pairwise. As region clusters were the input data, “region name” is a fixed effect for every individual brain region. Sex and age were added as further control parameters. As control analyses, the multiple linear regression was repeated without age and sex correction, or with ApoE4 carriage as an additional control parameter, alongside age, sex, and region name. Additionally, linear mixed-effects models were applied, incorporating random effects for each subject (1 | subject ID) into the above formula. To examine the association of α-syn load with age, sex, and ApoE status, we defined age groups (< 65 years at death (< 65), 65 to < 75 years (65–75), 75 years or older (≥ 75)) and divided the AD patients with available ApoE status in ApoE4 carriers, defined as at least one ApoE4 allele, vs. no ApoE4. Subsequently, we applied multiple linear regression within each region cluster, controlling for the specific region names. Additional analyses were conducted, controlling for age and sex. These analyses were repeated for tau and Aβ load in parallel. All p-values were corrected for false discovery rate (FDR correction in R) for each analysis, respectively. Statistical tests were conducted with R (R version 4.1.2). The significance level was set to *p < 0.05, **p < 0.01, and ***p < 0.001. Plots were created with Python (Python version 3.10.12). Color plotting on brain atlas images was conducted with Python in combination with Inkscape (Inkscape version 1.4) and the code was made publicly available on GitHub ( https://github.com/cor2ni/2D_brain_plot ). Results To analyze the association of α-syn load and distribution with Aβ and tau pathology in AD, we analyzed immunohistochemical stainings of up to 28 brain regions per case in 72 AD patients (Table 1 ). The cohort had a mean age at death of 72.8 years (± 11.5 years standard deviation). 56% of the subjects were female. Most of the cases had a Braak and Braak stage VI and a Thal phase 5, corresponding to an advanced stage of AD. For 66 cases, information about the ApoE status was available, revealing at least one ApoE4 allele in 58% of the subjects. The deposit covered area was automatically quantified by random forest classifiers in 1016 regions in α-syn stainings, 1292 regions in tau stainings, and 1098 regions in Aβ stainings. By thresholding, AD patients were assigned to αSyn-, comprising 41% of the cases, and αSyn+, including 59% of the cases (Figs. 1 and 2 ). The latter were further divided in three α-syn distribution patterns (Fig. 1 , Fig. 2 , Table 2 , Supplementary Table 6): αSyn + A, comprising around one third of the α-syn positive cases with an almost exclusive amygdala-entorhinal α-syn load; αSyn + B, including around 12% of the α-syn positive cases and characterized by a high brainstem α-syn load without cortical spread and a low amygdala involvement; αSyn + C, comprising around half of the α-syn positive cases and presenting with at least focal cortical α-syn deposits together with the highest amygdala-entorhinal and a relatively high brainstem α-syn load. All groups and subgroups were evaluated regarding their Aβ and tau load, revealing distinct loads in different brain regions. Table 1 Demographic and neuropathological overview of α-syn groups in Alzheimer's disease Available n All αSyn- αSyn+ Statistic, p-value n (%) 72 72 (100%) 29 (40%) 43 (60%) Sex (female:male) 72 40:32 13:16 27:16 χ 2 = 1.6, p = 0.21 Age at death [years] 71 72.8 ± 11.5 73.7 ± 10.5 72.2 ± 12.0 U = 561.5, p = 0.6 Braak and Braak (IV:V:VI) 72 8:14:50 1:7:21 7:7:29 χ 2 = 3.2, p = 0.21 Thal phase (3:4:5) 69 a 2:7:60 1:2:25 1:5:35 χ 2 = 3.4, p = 0.5 TDP43 (neg:pos) 49 25:24 14:7 11:17 χ 2 = 2.6, p = 0.11 ApoE4 allele (neg:pos) 66 28:38 15:12 13:26 χ 2 = 2.4, p = 0.12 Age at death presented as mean ± first standard deviation; U two-sided Mann-Whitney U test; χ 2 chi-squared test. neg negative, pos positive. a The three missing cases have a Thal phase ≥ 3 Table 2 Demographic and neuropathological overview of α-syn distribution subgroups Avail. n αSyn- αSyn + A (amygdala pred.) αSyn + B (brainstem pred.) αSyn + C (cortical α-syn) Statistic, p-value n (%) 71 29 (41%) 15 (21%) 5 (7%) 22 (31%) Sex (female:male) 39:32 13:16 11:4 2:3 13:9 χ 2 = 3.9, p = 0.28 Age at death 70 73.7 ± 10.5 76.5 ± 9.2 76.6 ± 5.6 68.5 ± 13.6 K = 4.07, p = 0.25 Braak and Braak (IV:V:VI) 71 1:7:21 0:1:14 2:2:1 5:4:13 χ 2 = 15.5, p = 0.016 b Thal phase (3:4:5) 68 a 1:2:25 0:0:15 0:2:3 1:3:16 χ 2 = 14.6, p = 0.27 TDP43 (neg:pos) 49 14:7 5:6 3:2 3:9 χ 2 = 5.6, p = 0.13 ApoE4 allele (neg:pos) 65 15:12 6:7 1:4 5:15 χ 2 = 5.5, p = 0.14 Significant p-values were labeled in bold. Age at death presented as mean ± first standard deviation; K Kruskal-Wallis test; χ 2 chi-squared test; Avail. available, neg negative, pos positive, pred. predominant. a The three missing cases have a Thal phase ≥ 3. b Braak and Braak staging was significantly different between αSyn- and αSyn + B (χ 2 = 8.7, p = 0.013), and αSyn + A and αSyn + B (χ 2 = 11.5, p = 0.003) α-syn load and distribution in AD The αSyn- and αSyn + cases showed a comparable age distribution (independent t-test: p = 0.6). In the αSyn + group, there were comparatively more female than male subjects while the αSyn- group had a slight male predominance, although the difference was not significant (p = 0.21). There was no significant difference regarding the Braak and Braak staging (p = 0.21) or Thal phase (p = 0.5) between groups. There were proportionally more TDP43 positive cases in the αSyn + group, however, not significantly (p = 0.11). There were also more cases carrying at least one ApoE4 allele in proportion to non-carriers in the αSyn + group than in the αSyn- group but also not significantly (p = 0.12). Thus, there might be a female sex, TDP43, and ApoE4 bias in the α-syn positive group, even without reaching significance. However, it is not clear if this association is causally related or a limitation of the available cohort. By definition, the αSyn + cases showed a higher α-syn load than αSyn- cases. Performing multiple linear regression correcting for the specific region name, age, and sex, there was a significant difference between αSyn + and αSyn- cases in cortical, subcortical, hippocampal, amygdala-entorhinal, and brainstem region clusters (Table 3 ), confirming the split into these two groups. The αSyn + cases showed the highest median α-syn load in the amygdala-entorhinal area, followed by the brainstem and hippocampal region, and low coverage in subcortical areas (Fig. 2 ). The α-syn load in cortical regions was low in the median but showed a large variability and thereby reached the highest values of covered area in single subjects. These findings suggest a region-dependent predestination for α-syn deposits in AD with a special focus on the amygdala in many cases, but a broad inter-patient variability. As additional control analyses, we conducted multiple linear regression without correction for sex and age or with ApoE4 as an additional control factor. Both models showed significantly higher α-syn load in the αSyn + group in all region clusters. Furthermore, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID, only the difference in the amygdala-entorhinal region remained significant, indicating a strong difference in the amygdala (Supplementary Table 2). Comparing the α-syn load of αSyn + with αSyn- cases in 28 brain regions separately under correction of age and sex, there was a significantly higher α-syn covered area in the substantia nigra (p = 0.005), amygdala (p = 0.005), entorhinal cortex (p = 0.023), and olfactory bulb (p = 0.023), suggesting these regions as a focus of α-syn co-pathology in AD (Supplementary Table 3). Other brain regions, e.g., the hippocampus and insula cortex, are also affected. However, probably due to the small absolute numbers, the p-values were not statistically significant for other brain regions. Table 3 Comparison of the α-syn covered area between αSyn + vs. αSyn- cases with multiple linear regression controlling for age and sex and correction for false discovery rate Region cluster n (αSyn-) n (αSyn+) Median [IQR] [%] of αSyn- cases Median [IQR] [%] of αSyn + cases β, p-value (age, sex corrected) cortical 73 348 0.001 [0.0004; 0.003] 0.09 [0.008; 0.48] β = 0.009, p = 0.004 subcortical 22 97 0.001 [0.0001; 0.003] 0.06 [0.015; 0.35] β = 0.003, p = 0.026 hippocampal 30 176 0.0006 [0.0002; 0.002] 0.17 [0.017; 0.61] β = 0.005, p = 0.004 Amygdala-entorhinal 54 70 0.0013 [0.0002; 0.006] 0.67 [0.30; 1.4] β = 0.013, p = < 0.001 brainstem 36 72 0.0025 [0.0007; 0.006] 0.19 [0.014; 0.72] β = 0.005, p = 0.004 Significant p-values and the highest median α-syn covered area of the αSyn + group were labeled in bold. ID subject ID, IQR interquartile range Comparing the sex distribution in the α-syn positive subgroups with the αSyn- cases, there was a female preponderance in αSyn + A, however, without reaching significance (p = 0.28). There was a trend towards younger age at death in αSyn + C with a mean age of 68.5 years (± 13.6 years standard deviation) in comparison with 76.5 ± 9.2 years in αSyn + A, 76.6 ± 5.6 years in αSyn + B, and 73.7 ± 10.5 years in αSyn- cases. Although this finding did not reach significance (p = 0.25) and there was a broad variability between cases, this observation suggests a negative association between cortically spread α-syn pathology in AD and survival. The Braak and Braak staging distribution was shifted towards lower Braak and Braak stages in αSyn + B, which reached significance when comparing αSyn- and αSyn + B (p = 0.013), as well as between αSyn + A and αSyn + B (p = 0.003). There was no significant difference regarding the Thal phases (p = 0.27). Where TDP43 information was available, two thirds of the αSyn- cases were also TDP43 negative while three quarters of the αSyn + C subgroup were TDP43 positive. Performing a chi-squared test over these groups, there was also no significant difference (p = 0.13). Regarding the presence or absence of the ApoE4 allele, 75% of the αSyn + C cases had at least one ApoE4 allele while it was more balanced in αSyn- and αSyn + A cases, although these group comparisons did not reach significance in a chi-squared test (p = 0.14). To confirm that the α-syn distribution subgroups vary in their α-syn distributions, we applied multiple linear regression controlling for specific region names, sex, and age. Detailed results are presented in Fig. 2 and Supplementary Tables 6 and 9. In pairwise tests, all groups are significantly different from each other in their α-syn load across cortical regions, with the highest α-syn load in αSyn + C and, after a large gap, αSyn + B in second place. αSyn + C and to a lesser extent αSyn + B show significantly higher subcortical α-syn load than αSyn- cases. αSyn + C significantly shows the highest hippocampal and amygdala-entorhinal α-syn load, much higher than the actual amygdala-entorhinal predominant α-syn subgroup αSyn + A. αSyn + B and αSyn + C show higher brainstem α-syn loads than subgroup αSyn + A. Within αSyn + A, the highest α-syn load is in the amygdala and lower in other brain regions. αSyn + B shows the highest α-syn levels in the brainstem with low values in other brain regions, affirming its definition. Interestingly, αSyn + C manifests with an α-syn amygdala predominance next to high deposit loads in some cortical regions, and often a lower, but still high amount in other brain regions. The high deposit load in the amygdala in αSyn + C suggests a general α-syn sensitivity of the amygdala in AD, independent of the exact α-syn distribution type. In total, the identified distribution patterns propose the presence of distinct pathological α-syn accumulation features with overlaps, e.g., in the amygdala. Tau load in relation to α-syn distribution According to the inclusion criteria of Braak and Braak stage ≥ IV, all AD cases showed marked tau pathology. The most affected area was the amygdala-entorhinal region, followed by the hippocampal region and the cortical region in third place (Table 4 ). There was a low tau covered area in the brainstem and subcortical areas. To examine potential associations between tau and α-syn loads, we compared the tau covered area of αSyn- vs. αSyn + cases with multiple linear regression, correcting for the specific region name, age, and sex. Interestingly, there was no significant effect of α-syn presence on tau load in any brain region cluster (Fig. 3 , Table 4 ), suggesting independent accumulation of α-syn and (AT8-) hyperphosphorylated tau. As additional control analyses, we conducted multiple linear regression without correction for sex and age or with additional correction for ApoE4. Following the previous analysis, there was no significant difference regarding the tau load between αSyn- and αSyn + groups in all region clusters. Furthermore, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID also yielded no significant difference (Supplementary Table 2). Comparing the tau load of αSyn + vs. αSyn- cases in 28 brain regions separately under correction of age and sex, there was no significant difference (Supplementary Table 4). These findings support a theory of tau accumulation that is independent from α-syn deposits. Table 4 Comparison of the tau covered area between αSyn + vs. αSyn- cases with multiple linear regression controlling for age and sex and correction for false discovery rate Region cluster n (αSyn-) n (αSyn+) Median [IQR] [%] of αSyn- cases Median [IQR] [%] of αSyn + cases β, p-value (age, sex corrected) cortical 216 355 14.4 [7.7; 23] 13.2 [5.3; 23.1] β=-0.012, p = 0.19 subcortical 39 72 1.5 [0.6; 4] 1.7 [0.6; 5.6] β=-0.003, p = 0.72 hippocampal 133 222 19.8 [13.1; 27.5] 18.9 [10.4; 27.3] β=-0.017, p = 0.19 Amygdala-entorhinal 42 63 26.3 [18.3; 33] 19.8 [12; 30.6] β=-0.043, p = 0.12 brainstem 35 55 2.4 [1.7; 3.6] 1.9 [01.3; 3] β=-0.002, p = 0.72 The highest median tau covered areas of αSyn + and αSyn- groups were labeled in bold. ID subject ID, IQR interquartile range To examine whether tau distribution varies between α-syn positive subgroups, we performed multiple linear regression controlling for specific region names, age, and sex (Fig. 3 , Supplementary Tables 7 and 9). After FDR correction, there was a significantly decreased tau load in αSyn + B compared to αSyn- cases in cortical (p < 0.001), hippocampal (p < 0.001), and amygdala-entorhinal regions (p = 0.021). Furthermore, but only with correction for age and sex, there was a significantly higher tau load in αSyn + A than in αSyn- cases across cortical regions (p = 0.004), indicating a positive association between α-syn in the amygdala and cortical tau accumulation. On the other hand, there was a significantly lower tau load in αSyn + C than in αSyn- cases across cortical regions (p = 0.022), which was also only evident when controlling for age and sex, suggesting a relatively lower cortical tau load at death when cortical α-syn load is apparent. These findings were comparable with additional statistical correction for ApoE4 carriage, except for the lower tau load of αSyn + B in the amygdala-entorhinal region. Aβ load in relation to α-syn distribution The analyzed AD cases showed marked Aβ pathology, predominantly corresponding to Thal phase 5 (Table 1 ). The most affected areas were the parietal, frontal, and temporal cortices, followed by the amygdala, hippocampal, subcortical, and brainstem areas, which were impacted to a markedly lesser extent (Fig. 4 , Table 5 , refer to Supplementary Table 5 for results per region). To examine potential associations between Aβ and α-syn loads, we compared the Aβ covered area of αSyn- vs. αSyn + cases with multiple linear regression, correcting for the specific region name, age, and sex. There was a significantly higher Aβ load in cortical brain regions of αSyn + cases (Fig. 4 , Table 5 ), suggesting an association of cortical Aβ with α-syn load. As control analyses, we conducted multiple linear regression without correction for sex and age. Again, there was a significant difference regarding the Aβ load between αSyn- and αSyn + groups in cortical regions (Supplementary Table 2). Additionally, there were significantly higher Aβ covered areas in subcortical and hippocampal regions, suggesting a positive association between Aβ and α-syn across regions. Supplementing the multiple linear regression model with ApoE4 next to sex, age, and region name, the cortical Aβ load showed a trend but was not significantly different (p = 0.077). In a further control analysis, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID, there was also no significant difference, probably due to overcorrection (Supplementary Table 2). Regarding the 28 brain regions separately, the Aβ load was higher in the αSyn + vs. αSyn- group in the occipital sulcus, the insula cortex and the parahippocampal gyrus, however, these effects did not stay significant after FDR correction or after correction for age and sex (Supplementary Table 5). Thus, the increase of the Aβ load in αSyn + AD cases becomes particularly apparent when multiple regions are considered in one analysis, it is mostly evident in cortical areas, and the effect is partly explained by ApoE4 carriage. Table 5 Comparison of the Aβ covered area between αSyn + vs. αSyn- groups with multiple linear regression controlling for age and sex and correction for false discovery rate Region cluster n (αSyn-) n (αSyn+) Median [IQR] [%] of αSyn- cases Median [IQR] [%] of αSyn + cases β, p-value (age, sex corrected) cortical 149 288 3.9 [2.2; 6] 5.4 [3.0; 9.7] β = 0.017, p = 0.003 subcortical 20 93 0.5 [0.2; 0.9] 1.5 [0.4; 3.3] β = 0.012, p = 0.09 hippocampal 98 226 0.9 [0.2; 1.8] 1.2 [0.3; 3.5] β = 0.007, p = 0.09 Amygdala-entorhinal 16 31 2.4 [1.5; 2.9] 1.5 [0.9; 3.3] β=-0.002, p = 0.86 brainstem 26 32 0.7 [0.3; 1.3] 0.7 [0.3; 1.6] β<-0.001, p = 0.86 Significant p-values and the highest median Aβ covered area of αSyn- and αSyn + groups were labeled in bold. ID subject ID, IQR interquartile range To examine whether the increased Aβ load can be attributed to specific α-syn positive subgroups, we applied multiple linear regression controlling for region names, age, and sex (Fig. 4 , Supplementary Table 9). After FDR correction, there was a significantly increased Aβ load in αSyn + A compared to αSyn- cases across cortical regions (p = 0.037) and subcortical regions (p = 0.048). Additionally, there was a significantly increased Aβ load in αSyn + C compared to αSyn- (p = 0.01) across cortical regions, suggesting that the finding described above of more cortical Aβ in αSyn + cases is mainly driven by α-syn subgroups αSyn + A and αSyn + C. With additional correction for ApoE4 carriage, there was a significantly higher Aβ load in the cortical regions of the αSyn + A vs. αSyn- (p = 0.023) and αSyn + B (p = 0.0024) and in the hippocampal region of αSyn + A vs. αSyn + C (p = 0.010), supporting the notion of a particularly higher Aβ load in αSyn + A. α-syn co-pathology in relation to age, sex, and ApoE genotype We examined the association of α-syn co-pathology in AD with age at death, sex, and ApoE status (Fig. 5 ). In detail, we applied multiple linear regression with α-syn covered area as the target variable and sex as a predictor variable across region clusters, controlling for the specific region names. There was a higher α-syn load in cortical regions in female vs. male cases (β=-0.0049, p = 0.038), which did not remain significant after FDR correction (p = 0.19), suggesting a slight trend towards higher cortical α-syn load in female subjects. The results were comparable after additionally correcting for age. The α-syn load did not differ between female and male cases in other brain regions. To examine the association with age, we defined three age groups: <65 years at death (< 65), 65 to < 75 years (65–75), 75 years or older (≥ 75). Thereby, it should be noted that all cases pertain to advanced stages of AD. We applied multiple linear regression with α-syn covered area as the target variable and age group as a predictor variable across region clusters, controlling for specific region names. Before FDR correction, there was a significantly higher cortical α-syn load in 65–75 aged AD patients compared with < 65 cases (β = 0.007, p = 0.033). This result was not significant after FDR correction or correction for sex. Interestingly, there was a significantly lower α-syn load in the hippocampal region in 65–75 aged AD patients compared with < 65 cases (β=-0.0033, p = 0.030), which was also significant after correction for sex but not after FDR correction. The amygdala-entorhinal α-syn load was significantly lower in ≥ 75 aged patients compared with 65–75 cases (β=-0.0078, p = 0.033), which was also significant after correction for sex but not after FDR correction. In total, these results suggest that α-syn co-pathology in general appears independent from patient age, but a higher hippocampal and amygdala-entorhinal α-syn load might be associated with a younger age at death to a certain extent. Another explanation could be that younger patients with initiated protein deposition cascades can accumulate higher α-syn loads in the hippocampus and amygdala until death, maybe due to fewer life-limiting comorbidities. However, this trend was not reflected in cortical regions. In order to evaluate the association of α-syn load in AD with the ApoE genotype, we compared AD cases with at least one ApoE4 allele to cases without ApoE4. Again, multiple linear regression was applied with α-syn load as the target variable and ApoE status as the predictor variable across region clusters, controlling for the specific region names. The cortical α-syn load of ApoE4 carriers was significantly lower (β=-0.0055, p = 0.034) but did not remain significant after FDR correction or correction for sex and age. On the other hand, there was a significantly higher α-syn load in hippocampal (β = 0.0045, p = 0.0019) and amygdala-entorhinal regions (β = 0.0066, p = 0.038) of ApoE4 carriers which was significant after correction for age and sex but only the difference in the hippocampal regions stayed significant after FDR correction (p = 0.009 without and p = 0.016 with correction for age and sex). These results suggest ApoE4 as a risk factor for higher hippocampal and putatively amygdala-entorhinal α-syn load, which in turn might be associated with a younger age at death. Aβ and tau load in relation to age, sex, and ApoE genotype Additionally, we investigated the relation of age, sex, and ApoE genotype regarding tau and Aβ load (Supplementary Fig. 2 and Fig. 3 ). We applied multiple linear regression with tau or Aβ covered area as the target variable and sex, age, or ApoE as a predictor variable across region clusters, controlling for the specific region names and FDR-correction. There was a significantly higher tau load in male patients in the hippocampal (β = 0.029, p = 0.009) and amygdala-entorhinal regions (β = 0.06, p = 0.009), which was also significant after correction for age (p = 0.022, respectively). Conversely, the Aβ load was significantly higher in female patients in cortical (β=-0.022, p < 0.001) and hippocampal regions (β=-0.013, p < 0.001), which was significant after correction for age. These findings suggest a sex imbalance towards tau in male and Aβ in female cases. Regarding different age groups, all with advanced disease stages, there was a significantly lower cortical tau load in the oldest group (≥ 75 years at death) than in the younger age groups, < 65 (β=-0.024, p < 0.001) and 65–75 (β=-0.024, p = 0.038). Both findings were significant after correction for sex. In line with this observation, there was a significantly higher Aβ load in the youngest age group, < 65 years, than in 65–75 years old patients in hippocampal regions (β=-0-016, p < 0.001) and in brainstem regions in 65–75 (β=-0.015, p = 0.007) and ≥ 75 years cases (β=-0.007, p = 0.0027). The findings remained significant after correction for sex and suggest a higher deposit load in younger AD cases at death. Concerning the presence of at least one ApoE4 allele, there was no significant association with tau covered areas but with further age and sex correction, there was a significantly decreased tau load in ApoE4 carriers in cortical (β=-0.020, p = 0.03), hippocampal (β=-0.026, p = 0.03), and amygdala-entorhinal regions (β=-0.043, p = 0.049). Regarding Aβ, there was a higher Aβ load in cortical regions of ApoE4 carriers (β = 0.019, p = 0.001), also significant after age and sex correction. This finding coincides with the high Aβ load in the αSyn + C cases with a relatively high proportion of ApoE4 carriers. ApoE4 might be related to disseminated α-syn deposition and to a higher cortical Aβ load with a speculative causal relationship. Discussion Quantifying Aβ, tau, and α-syn load across brain regions in 72 Alzheimer’s disease (AD) patients, 60% of the cases showed detectable Lewy pathology. The α-syn deposit load predominates in the amygdala but is heterogeneous in cortical and brainstem regions, matching several distribution patterns. The extent of Aβ and tau load varies between these α-syn subgroups, suggesting direct and indirect protein interactions and confounding factors. Approaching previously specified Lewy body pathology patterns [ 19 , 20 ], we assigned α-syn positive (αSyn+) AD cases to three subgroups by thresholding the regional α-syn covered areas. The biggest subgroup αSyn + C showed disseminated α-syn pathology at least somewhere in the cortex and a high amount in the amygdala. The second largest subgroup, αSyn + A, exhibits an amygdala predominant α-syn pattern without significant Lewy pathology in the cortex. Finally, few AD cases mainly had α-syn deposits in the brainstem, αSyn + B, more specifically in the substantia nigra and to a lesser extent in the locus coeruleus. This classification approximates previously described amygdala predominant and disseminated α-syn distribution patterns in AD [ 23 ]. Lacking olfactory bulb tissue in a high number of cases did not allow for detection of rare cases with olfactory only Lewy pathology described by Attems et al. [ 20 ]. Additionally, a bigger cohort would be needed to detect a limbic predominant subgroup, which is probably currently included as part of the cortical subgroup. It is noticeable that the amygdala was the most affected region by α-syn deposits in AD, followed by the CA2 region of the hippocampus. This finding is apparent across subgroups except for some brainstem predominant cases. While the amygdala predominance of α-syn in AD was described before [ 21 – 23 ], the reasons for the region's sensitivity are still under discussion [ 49 ]. Nevertheless, distinct Lewy pathology distributions described in DLB [ 15 , 19 ] are also present in AD as a spectrum of co-pathology patterns related to partly overlapping clinical symptoms [ 9 , 50 ]. Tau load varies between α-syn subgroups Comparing the (AT8-) hyperphosphorylated tau load of αSyn + vs. αSyn- AD cases with multiple linear regression correcting for age and sex, there was no significant difference. This finding is consistent with previous immunohistochemical analyses showing comparable tau loads in AD with and without Lewy body co-pathology [ 51 ]. However, comparing αSyn- cases with three α-syn positive subgroups, there were significant differences, emphasizing the importance of patient stratification. We found a significantly increased cortical tau load in the amygdala predominant α-syn subgroup, αSyn + A, compared to the αSyn- group, while the cortical tau load was lower in αSyn + B and αSyn + C. These results demonstrate a variable association between α-syn and tau load depending on the α-syn distribution and highlight the importance of statistical adjustment for age and sex. Especially within the amygdala, some neurons contain Lewy bodies and neurofibrillary tangles concomitantly [ 29 , 30 ]. A co-localization was also described in astrocytes [ 51 ]. Arai and colleagues argue that not all α-syn aggregations are Lewy bodies; on the other hand, the tau load might impact which regions develop more Lewy bodies [ 22 ]. The molecular relationship between α-syn and tau and its consequences are still under discussion, with several studies claiming adverse interactions between these proteins: α-syn and tau share molecular similarities and overlap in their radius of action [ 39 ]. Specific α-syn and tau isoforms show heightened binding affinities towards each other [ 52 , 53 ]. α-syn plays a role in tau phosphorylation, and the proteins promote each other’s fibrillization [ 38 , 39 , 54 ]. There are further hints for α-syn driving tau accumulation through genetic elements responsible for higher baseline SNCA expression [ 55 ]. Ultimately, subjects with a positive cerebrospinal fluid α-syn seed aggregation assay had higher tau PET signals [ 36 ]. The increased cortical tau load in αSyn + A fits the hypothesis of mutual α-syn-tau interactions. The brainstem predominant α-syn pattern seems to drop out of general patterns like amygdala predominance and therefore might correspond to separate mechanisms. The cortical α-syn subgroup showed a decreased tau load with a tendency for a younger age at death [ 25 ]. An explanation could be that AD with disseminated α-syn pathology is fatal before the tau load reaches levels as high as in α-syn negative AD cases. α-syn may add to the toxic effect of hyperphosphorylated tau, so clinical relevance is already reached at a lower tau level. Aβ load is increased in α-syn subgroups Comparing the Aβ load of αSyn + vs. αSyn- AD cases with multiple linear regression correcting for age and sex, there was an increased Aβ load in α-syn positive cases attributable to αSyn + A and partly αSyn + C subgroups. There was also a trend of higher Aβ load in subcortical and hippocampal regions, supporting a general tendency. Such a positive association between Aβ and α-syn was partly described before in the clinical spectrum of AD and dementia with Lewy bodies [ 9 ] and the other way around in Lewy body dementia with Aβ co-pathology [ 56 ]. This finding also accords with semiquantitative studies revealing a strong association between AD pathology and amygdala-predominant α-syn deposition, while there was no such effect in a caudo-rostral α-syn co-pathology group [ 32 ]. On a more mechanistic level, several studies support an association between Aβ and α-syn [ 42 ]. Nuclear magnetic resonance spectroscopy suggests interaction of Aβ with membrane-associated α-syn [ 57 ]. In-vitro and in-vivo experiments support the hypothesis that Aβ promotes α-syn aggregation [ 58 , 59 ]. However, this hypothesis did not apply for specific regions, e.g., the Aβ load was not increased in the amygdala of the amygdala predominant or cortical α-syn subgroups. These findings suggest a more complex interplay involving multiple factors, rather than local correlations. Association of ApoE4, sex, and age with AD and α-syn co-pathology Comparing epidemiological data in terms of age, sex, and ApoE genotype among α-syn groups and subgroups in AD, no significant differences were apparent in line with previous observations [ 10 ]. However, regarding the ApoE genotype, there was a trend towards more ApoE4 carriers in the partition with α-syn deposits, more specifically in the αSyn + C cases. Comparing ApoE4 carriers with no ApoE4 carriers with multiple linear regression across regions, the ApoE4 allele was associated with a significantly higher α-syn load in the hippocampus. Additionally, the ApoE4 allele was associated with a higher cortical Aβ load and a lower tau load in several brain regions after age and sex correction. These results are supported by literature, presenting ApoE4 as a risk factor for AD [ 6 , 7 ] with the specific effects on Aβ and tau differing between studies, approaches, and brain regions [ 60 – 64 ]. ApoE4 is also a risk factor for DLB [ 4 ] and increased α-syn levels in the cerebrospinal fluid of AD patients [ 65 ]. Regarding sex differences, there was a trend towards more female subjects in the partition with α-syn deposits, mostly apparent in αSyn + A subgroup. Examining the association of the α-syn load in AD with sex across brain regions with multiple linear regression, there was no significant difference, suggesting that male and female patients show comparable α-syn load. This is in line with more or less sex-balanced cohorts in DLB [ 66 ]. Besides, we observed an increased Aβ load in female patients and an increased tau load in male patients predicted with multiple linear regression across brain regions. These findings align with the observations in a transgenic mouse model [ 67 ]. Several studies in humans found increased Aβ and tau load in women [ 68 – 70 ]. The discrepancy in the tau results may be attributable to differences in age distributions and analytical approaches. The AD subgroup with disseminated cortical α-syn tended to have a lower mean age at death, consistent with previous observations [ 25 ]. Including all AD cases, the α-syn load did not differ significantly between age groups tested with multiple linear regression. This is in line with observations that α-syn co-pathology is common in sporadic but also in younger genetic cases [ 29 ] and thus, cannot be explained by simple accumulation with age. Comparing Aβ and tau load in AD between different ages with multiple linear regression across brain regions, the Aβ and tau load were focally increased in patients with a younger age at death. These results are partly in accordance with previous PET analyses which showed increased tau accumulation in younger Aβ-positive subjects, while Aβ deposition was faster in older cases [ 64 ]. In agreement with this finding, a PET study by Lowe et al. reported increasing tau load with age in cognitively unimpaired samples but a higher tau load in younger cognitively impaired patients, suggesting higher loads in younger-onset AD [ 71 ]. In summary, ApoE4 is a risk factor for higher α-syn and Aβ load in AD. While the Aβ load is higher in female cases and the tau load is increased in male patients, there was no significant difference in the α-syn load between sexes. Aβ and tau load are partly increased in younger patients with dementia compared to older cases. α-syn co-pathology appears across all ages. The findings emphasize the importance of control for age and sex in research analyses, and especially in clinical diagnostics and therapies [ 72 ]. Strengths and Limitations A strength of this study is the large size of the dataset, comprising many brain regions analyzed in up to three immunohistochemical stainings. The region annotation was standardized, and the deposit detection was automated to gain reliable and objective quantifications. Despite this extensive approach, the study has several limitations. First, the dataset could be even larger and more complete regarding the availability of α-syn stainings across brain regions to be more sensitive for smaller α-syn subgroups and to reduce the potential bias of missing stainings. For example, a pure olfactory α-syn subgroup is imaginable but was not delimitable because of its rare appearance; additionally, the sex, age, and ApoE4 evaluation is limited by a relatively small and probably not representative cohort for epidemiological analyses. For precise proportions, population-based studies are necessary and cross-ethnic datasets are needed. Second, the region annotation protocol focuses on small rectangles of regions of interest instead of whole slide images, which could miss variability within each block. However, this reduction helped to limit the amount of large sized data and led to a reasonable consumption of computational power. Third, this study focused on specific antibody clones, namely clone 42 for α-syn, clone 4G8 for Aβ, and clone AT8 for tau stainings. These antibodies are typically applied in diagnostics but are restricted to specific targets, e.g., AT8 sticks to tau with defined phosphorylation sites. Further studies are needed for other epitopes and to take other co-pathologies like TDP43 deposits into account. Finally, this analysis approached different AD neuropathological subgroups. However, the dataset exclusively represents advanced stages of AD and the α-syn subgrouping did not fully explain the heterogeneity in tau and Aβ load. As a correlative post-mortem study, causal conclusions remain speculative. Conclusion Quantifying neuropathological deposits in Alzheimer’s disease, we found α-syn co-pathology in more than half of the cases across age groups with a tendency towards female patients and an association with the ApoE4 allele. Assigning three distinct α-syn distribution groups, the common amygdala predominant and cortical α-syn patterns were associated with an increased cortical Aβ load while tau load varied between these groups. To conclude, next to age, sex, and ApoE, the α-syn distribution pattern is associated with distinct Aβ and tau loads with potential therapeutic relevance in immunization therapies. Abbreviations α -syn alpha-synuclein α Syn- alpha-synuclein deposit negative α Syn+ alpha-synuclein deposit positive α Syn+A amygdala predominant alpha-synuclein deposition α Syn+B brainstem predominant alpha-synuclein deposition α Syn+C cortical alpha-synuclein deposition A β Amyloid beta AD Alzheimer’s disease DLB Dementia with Lewy bodies FDR false discovery rate IQR interquartile range Declarations Code availability Code and segmentation models applied in this study are available from the first author upon request. The code to plot colors on brain atlas images is publicly available on GitHub (https://github.com/cor2ni/2D_brain_plot). Acknowledgement First, we deeply thank all brain donors and their families for facilitating this research. We are also very thankful to all current and former colleagues of the Neurobiobank Munich, especially Angela Obermaier, Anke Jürgensonn, Dr. Thomas Arzberger, Dr. Otto Windl, Dr. Benjamin Englert and Dr. Norbert Buresch for their elaborate organization, processing, and diagnostics. We also like to thank Michael Schmidt for his help with immunohistochemistry and slide scanning. Funding AN was supported by travel grants from the Alzheimer Forschung Initiative e.V. (AFI) and the framework of Munich Cluster for Systems Neurology (SyNergy). FLS is supported by the German Research Foundation (DFG, grant number STR 1537/3-1). This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy–ID 390857198). Conflict of Interest The authors declare no conflicts of interest. 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Filon JR, Intorcia AJ, Sue LI, Vazquez Arreola E, Wilson J, Davis KJ, et al. Gender Differences in Alzheimer Disease: Brain Atrophy, Histopathology Burden, and Cognition. Journal of Neuropathology & Experimental Neurology 2016;75:748–54. https://doi.org/10.1093/jnen/nlw047. Nemes S, Logan PE, Manchella MK, Mundada NS, La Joie R, Polsinelli AJ, et al. Sex and APOE ε4 carrier effects on atrophy, amyloid PET, and tau PET burden in early-onset Alzheimer’s disease. Alzheimer’s & Dementia 2023;19:S49–63. https://doi.org/10.1002/alz.13403. Lowe VJ, Wiste HJ, Senjem ML, Weigand SD, Therneau TM, Boeve BF, et al. Widespread brain tau and its association with ageing, Braak stage and Alzheimer’s dementia. Brain 2018;141:271–87. https://doi.org/10.1093/brain/awx320. Ferretti MT, Iulita MF, Cavedo E, Chiesa PA, Schumacher Dimech A, Santuccione Chadha A, et al. Sex differences in Alzheimer disease — the gateway to precision medicine. Nat Rev Neurol 2018;14:457–69. https://doi.org/10.1038/s41582-018-0032-9. Ding S-L, Royall JJ, Sunkin SM, Ng L, Facer BAC, Lesnar P, et al. Comprehensive cellular-resolution atlas of the adult human brain. Journal of Comparative Neurology 2016;524:3127–481. https://doi.org/10.1002/cne.24080. Allen Reference Atlas – Human Brain [brain atlas]. Available from atlas.brain-map.org. 2025. Additional Declarations No competing interests reported. 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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-7022346","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":483139166,"identity":"664ad02d-3260-40b0-92a4-b0884d021fee","order_by":0,"name":"Antonia Neubauer","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABV0lEQVRIie2Ov2vCQBTHnwQynbiVSMT+Cy8cXBRE/xUlkElQEOxQwUDhppaugv+ELs6RA7MExxKIUEVwchCE0tKW9uqPEpG2a4f7cHe8d7zPfQ9AofiH6LsT5fIPdUZuQ25ymPAPA99kQNvfFI5K1vtDyXravigdFRm3U+AnBeP78bLZLEMpuGXzF15q0AcxjlJ8loOL0Fo2O7O8DdpwnlBmQqM9dICFoW3dcbc4il2nkOIrAmad0t5kRYue3krEYOToJkENWFRnRpoLZLEsUlyQiizMtCdqA5+wxFcre6UL9HHNsu/8A2m/8bRTZIr9KpWuVOznsxQBVkTkm9xHNOv6UWGaVKooU+BEoZRgQKzQvaK5qYNG7NJCdfqluC2TTIQ1EHrLSCq1xZK8XecxEKPFul3GTN9ZRJu2qIDpDLekIy4xuBlu4Axy2lZPOu18XqFQKBS/8gnMfHufeCvbdgAAAABJRU5ErkJggg==","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":true,"prefix":"","firstName":"Antonia","middleName":"","lastName":"Neubauer","suffix":""},{"id":483139167,"identity":"3f1b26cd-ffa3-458e-8b6b-6e04120b4218","order_by":1,"name":"Doris Weissenbrunner","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Doris","middleName":"","lastName":"Weissenbrunner","suffix":""},{"id":483139168,"identity":"ec3d4d4e-2ad2-4e63-b0db-eeeb7b529507","order_by":2,"name":"Susanna Pekrun","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Susanna","middleName":"","lastName":"Pekrun","suffix":""},{"id":483139169,"identity":"727ad5f6-7370-4850-a8f1-4eb1e114e9dd","order_by":3,"name":"Sigrun Roeber","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Sigrun","middleName":"","lastName":"Roeber","suffix":""},{"id":483139170,"identity":"a072801a-8796-4be3-ae0d-8090977abe7f","order_by":4,"name":"Viktoria Ruf","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Viktoria","middleName":"","lastName":"Ruf","suffix":""},{"id":483139171,"identity":"e35109e4-759f-4649-b470-3b3de6dbe9ea","order_by":5,"name":"Paul Feyen","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Paul","middleName":"","lastName":"Feyen","suffix":""},{"id":483139172,"identity":"aa4fac79-b26e-41d3-be2b-b477fd9e6f76","order_by":6,"name":"Felix L. Strübing","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Felix","middleName":"L.","lastName":"Strübing","suffix":""},{"id":483139173,"identity":"4f09fc9e-e623-42c6-a662-c61cfdd10521","order_by":7,"name":"Jochen Herms","email":"","orcid":"","institution":"Ludwig Maximilians University of Munich","correspondingAuthor":false,"prefix":"","firstName":"Jochen","middleName":"","lastName":"Herms","suffix":""}],"badges":[],"createdAt":"2025-07-01 16:38:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7022346/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7022346/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00401-025-02952-w","type":"published","date":"2025-10-30T15:57:58+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":86644665,"identity":"cc7ab951-dbe9-409c-a7d4-5107462ab262","added_by":"auto","created_at":"2025-07-14 08:42:13","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":440899,"visible":true,"origin":"","legend":"\u003cp\u003eDeposit quantification across brain regions. (a) Overview of analyzed brain regions colored by hypernyms in coronal slices (A’ to D’) in the frame of the gyral Allen Human Brain Atlas (slices A’ to D’: 18, 34, 55 and 83) [73], [74]. (b) α-syn stainings of three brain areas with labeled brain regions for further analysis. Blocks from left to right: cingulate gyrus, insula-claustrum-putamen, and hippocampus. Length of bar = 1 mm. (c) Example images with corresponding deposit segmentation for α-syn, tau, and Aβ stainings. α-syn: The thick arrow labels a Lewy body; the thin arrow indicates a Lewy neurite. Tau: The tick arrow labels a neurofibrillary tangle bearing neuron; the thin arrow indicates a neuritic plaque. Aβ: The arrow indicates a cored plaque. Length of bar = 50 µm. (d) Schematic overview of α-syn group and subgroup definition by thresholding α-syn covered areas of all brain regions (max α-syn load), of the mean cortical α-syn load (of cingulate gyrus, superior and medial temporal gyrus, and insula cortex), and of the mean brainstem α-syn load. 1 middle frontal gyrus, 2 sulcus of middle frontal gyrus, 3 cingulate gyrus, 4 sulcus between cingulate and frontal gyrus, 5 insular gyrus, 6 claustrum, 7 putamen, 8 superior temporal gyrus, 9 sulcus between superior and middle temporal gyrus, 10 middle temporal gyrus, 11 amygdala, 12 entorhinal cortex, 13 parietal gyrus, 14 medial thalamus, 15 lateral thalamus, 16 substantia nigra, 17 CA4 of hippocampus, 18 CA3, 19 CA2, 20 CA1, 21 subiculum, 22 parahippocampal gyrus, 23 striate area gyrus, 24 striate area sulcus, 25 cerebellar cortex, 26 dentate nucleus, \u003cem\u003eAD\u003c/em\u003e Alzheimer’s disease, \u003cem\u003eLC\u003c/em\u003elocus coeruleus, \u003cem\u003emax\u003c/em\u003e maximal, \u003cem\u003eOB\u003c/em\u003e olfactory bulb, \u003cem\u003epred.\u003c/em\u003epredominant\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/5d43ddf1ab4fa60e71abae17.png"},{"id":86642984,"identity":"5a9d23d6-b161-4256-9896-affe2b4d361e","added_by":"auto","created_at":"2025-07-14 08:34:13","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":198032,"visible":true,"origin":"","legend":"\u003cp\u003eAlpha-Synuclein (α-syn) load and distribution in Alzheimer’s disease cases. (a) Median α-syn covered area of each α-syn distribution group and subgroup. (b) Comparison of the α-syn covered area between αSyn- and αSyn+ groups. (c) Comparison of the α-syn covered area between αSyn- and αSyn+A (amygdala predominant), αSyn+B (brainstem predominant), αSyn+C (cortical) α-syn positive subgroups. Statistics in (b) and (c) were calculated with multiple linear regression across region clusters, controlling for region names, age, and sex, and false discovery rate correction. \u003cem\u003eLC\u003c/em\u003e locus coeruleus, \u003cem\u003eOB\u003c/em\u003eolfactory bulb\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/e033a98ae5c95e2a55c915f8.png"},{"id":86642989,"identity":"899d4e1e-bada-4397-a407-5edae8485c4b","added_by":"auto","created_at":"2025-07-14 08:34:13","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":181825,"visible":true,"origin":"","legend":"\u003cp\u003eTau load and distribution in Alzheimer’s disease. (a) Median tau covered area of each α-syn distribution group and subgroup. (b) Comparison of the tau covered area between αSyn- and αSyn+ \u0026nbsp;groups. (c) Comparison of the tau covered area between αSyn- and αSyn+A (amygdala predominant), αSyn+B (brainstem predominant), αSyn+C (cortical) α-syn positive subgroups. Statistics in (b) and (c) were calculated with multiple linear regression across region clusters, controlling for region names, age, and sex, and false discovery rate correction. \u003cem\u003eLC\u003c/em\u003e locus coeruleus, \u003cem\u003eOB\u003c/em\u003eolfactory bulb\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/61d3cdb54d5c6ac4cbf4066e.png"},{"id":86644660,"identity":"11f5163b-a599-40f4-b243-373b52218be6","added_by":"auto","created_at":"2025-07-14 08:42:13","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":186822,"visible":true,"origin":"","legend":"\u003cp\u003eAmyloid beta (Aβ) load and distribution in Alzheimer’s disease. (a) Median Aβ covered area of each α-syn distribution group and subgroup. (b) Comparison of the Aβ covered area between αSyn- and αSyn+ groups. (c) Comparison of the Aβ covered area between αSyn- and αSyn+A (amygdala predominant), αSyn+B (brainstem predominant), αSyn+C (cortical) α-syn positive subgroups. Statistics in (b) and (c) were calculated with multiple linear regression across region clusters, controlling for region names, age, and sex, and false discovery rate correction. \u003cem\u003eLC\u003c/em\u003e locus coeruleus, \u003cem\u003eOB\u003c/em\u003eolfactory bulb\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/c22bce17c55b2ca60224a166.png"},{"id":86642986,"identity":"ea676d7d-03cb-4352-8c44-2a982a9643ac","added_by":"auto","created_at":"2025-07-14 08:34:13","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":104935,"visible":true,"origin":"","legend":"\u003cp\u003eα-syn load split up by (a) sex, (b) age at death, and (c) ApoE genotype in Alzheimer’s disease cases. Statistics were calculated with multiple linear regression across region clusters, correcting for specific region names and false discovery rate correction. Results with age or sex correction are presented in the main text. ApoE4 means that at least one ApoE4 allele is apparent\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/da5538a2cd49c52af4c73637.png"},{"id":95041195,"identity":"d731f70d-55af-4fd2-a968-565b02b93d3b","added_by":"auto","created_at":"2025-11-03 16:10:56","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1972142,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/564c0926-0d8b-4319-b7cb-012edd7e40ed.pdf"},{"id":86642995,"identity":"6d9fbda1-f128-4821-9cce-eb564e3e71e9","added_by":"auto","created_at":"2025-07-14 08:34:13","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":288753,"visible":true,"origin":"","legend":"","description":"","filename":"aSynADpathologySuppv5.docx","url":"https://assets-eu.researchsquare.com/files/rs-7022346/v1/37e6d6f48176bf302cab3823.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Alpha-synuclein deposition patterns in Alzheimer’s disease: association with cortical amyloid beta and variable tau load","fulltext":[{"header":"Introduction","content":"\u003cp\u003eAround 57\u0026nbsp;million people worldwide are affected by dementia, with Alzheimer\u0026rsquo;s disease (AD) as the most prevalent neurodegenerative disease [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e] and Dementia with Lewy bodies (DLB) in second place [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Age and an ApoE4 allele are among the most important risk factors for AD and DLB [\u003cspan additionalcitationids=\"CR5 CR6\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Although these neurodegenerative diseases are often described with distinct clinical symptoms and varying neuropathological phenotypes, mixed disease forms are common [\u003cspan additionalcitationids=\"CR9\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe neuropathological hallmarks of AD are Amyloid β (Aβ) plaques and neurofibrillary tangles [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Aβ is a fragment of the amyloid precursor protein. According to Thal phases (1\u0026ndash;5), Aβ plaques first appear in association cortices and in later stages in subcortical, brainstem, and cerebellum regions [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Tau is a microtubule-associated protein that, in its hyperphosphorylated form, is capable of forming aggregates such as neurofibrillary tangles. These tangles are initially observed in the transentorhinal region (stage I) and progressively appear in limbic and isocortical regions (stage VI) as classified by Braak and Braak [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. The expansion of neurofibrillary tangles correlates with cognitive decline [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eDLB is characterized by alpha-Synuclein (α-syn) aggregates in the form of intraneuronal Lewy bodies and Lewy neurites [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Physiologically, α-syn is a soluble protein at the presynaptic nerve terminals, participating in vesicular trafficking [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Lewy pathology can be classified according to Braak staging, which describes its distribution from the brainstem (stage 1) to the temporal mesocortex and ultimately to the neocortex (stage 6) [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], or consensus criteria by McKeith and colleagues [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Five main Lewy body distribution patterns were observed in brain autopsies: olfactory only, amygdala predominant, brainstem predominant, limbic, and neocortical [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eAround 50% of AD patients present with α-syn co-pathology in addition to Aβ and tau deposits [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan additionalcitationids=\"CR22\" citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. α-syn co-pathology is associated with an accelerated cognitive decline [\u003cspan additionalcitationids=\"CR25\" citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In AD cases, the α-syn deposits are often described in the amygdala and to a lesser extent in other brain regions like the brainstem, hippocampus, and neocortex [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan additionalcitationids=\"CR28 CR29 CR30\" citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Recently, increasing attention has been paid to the heterogeneity of α-syn distribution in AD [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. An amygdala predominant and a caudo-rostral pattern were distinguished in AD cohorts and suggest an adverse association between amygdala predominant α-syn co-pathology and AD pathology [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan additionalcitationids=\"CR33\" citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]; however, detailed quantitative analyses of Aβ and tau are lacking.\u003c/p\u003e\u003cp\u003eThere are different associations described between α-syn, Aβ, and tau [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Histology and PET imaging studies propose positive correlations between α-syn co-pathology and Aβ and tau deposits in AD [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. On a molecular level, there is evidence for α-syn inducing hyperphosphorylation and fibrillization of tau [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Mice experiments support the hypothesis of α-syn modulating tau spread [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Furthermore, human studies have revealed higher Aβ load in α-syn positive AD cases [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Aβ might lead to α-syn phosphorylation and a decreased degradation of α-syn and tau [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. The extent of interactions occurring in humans has not been fully elucidated yet.\u003c/p\u003e\u003cp\u003eIn this study, we combine the analysis of AD with and without α-syn co-pathology with the evaluation of heterogeneity in α-syn deposit distribution for improved patient stratification. According to the observed relationships between α-syn, tau, and Aβ described in the literature, we hypothesized that 1) α-syn co-pathology is associated with a higher tau and Aβ load and 2) different α-syn distribution patterns are associated with divergent tau and Aβ loads. We applied automated immunohistochemical image analysis of α-syn, tau, and Aβ in extensively annotated brain regions in a large cohort of neuropathologically confirmed AD cases. We identified α-syn negative AD cases, amygdala predominant, brainstem predominant, and neocortical α-syn distribution patterns, and compared tau and Aβ load between these groups. Finally, the effects of age, sex, and ApoE genotype were examined.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eHuman cohort and neuropathological assessment\u003c/span\u003e\u003c/p\u003e\u003cp\u003eAll brain samples were acquired from the Neurobiobank Munich, including sporadic and genetic cases. Informed consent to use the brains was given by all brain donors when alive or by closest dependents following the patient\u0026rsquo;s presumed will. Brains were collected respecting the guidelines of the local ethics committee and the Code of Conduct of BrainNet Europe [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. The use of the material for this project was approved by the Neurobiobank Munich committee. The study was conducted under the principles of the Declaration of Helsinki and in accordance with the local ethics committee. Neuropathological diagnostics were performed by at least two board-certified neuropathologists. In this study, AD cases (Braak and Braak stage IV to VI) with and without pathological α-syn burden, like Lewy bodies or Lewy neurites, were included. Notably, all cases with Braak and Braak stage IV had clinically symptomatic dementia.\u003c/p\u003e\u003cp\u003eFor standardized deposit quantification, this study focused on reproducibly identifiable brain regions that are part of the routine diagnostics at the Neurobiobank Munich. In total, 28 gray matter regions were selected, including cortical, subcortical, cerebellar, and brainstem regions (see Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). For economic and sustainability reasons, not every brain region was stained for every case. In particular, cases without pathological α-syn in the amygdala and brainstem regions did not necessarily receive α-syn assessment of all other brain regions. Diaminobenzidine stainings of formalin fixed and paraffin embedded tissue were conducted with the monoclonal antibody AT8 for phosphorylated tau staining (ThermoFisher, #MN1020), the monoclonal antibody, clone 4G8, for Aβ (BioLegend, #800711), and the monoclonal α-syn antibody clone 42 (abcam, ab280377). Stainings were digitized with a Zeiss Axio Scan Z.1 scanner with a magnification of 20, resulting in a pixel size of 0.22*0.22 \u0026micro;m\u0026sup2;.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe ApoE status was obtained through whole genome sequencing. Briefly, DNA was isolated from 1 cm\u003csup\u003e3\u003c/sup\u003e large tissue cubes taken from fresh-frozen cerebellum using the QIAmp DNA Mini Kit (Qiagen, 51304). Library preparation was performed with the TruSeq PCR-free genomic DNA library prep kit (Illumina, FC-121-3003) according to the manufacturer\u0026rsquo;s instructions. Libraries underwent 2x150 bp paired-end sequencing on an Illumina NovaSeq machine until a minimum depth of 35X was reached. Alignment and variant calling were performed using a Snakemake pipeline incorporating the GATK best practices. After FastQC and adapter trimming, alignment to the hs1/T2T genome assembly (chm13v2.0) was performed with BWA-MEM2. Variant calling, recalibration and joint genotyping were done using GATK version 4.0. Subsequently, the APOE genotype was defined by concatenating the APOE-defining variants (rsID/hs1 coordinates: rs429358/chr19:47733380; rs7412/chr19:47733518).\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eImage analysis\u003c/span\u003e\u003c/p\u003e\u003cp\u003eThe region annotation was conducted manually in Qupath (version 0.5.1) [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e] in α-syn stainings where available and tau stainings as a second choice. The regions were labeled following a protocol to reproducibly set the location and size of the annotations (Supplementary Table\u0026nbsp;1). In cases with staining artefacts or large blood vessels, the nearest appropriate region was selected in accordance with the protocol. Samples with substantial artefacts or lacking clear orientation to define the region of interest were not included in further analysis. For substantia nigra and locus coeruleus, two representative areas were chosen for each staining, respectively, avoiding pigmented neurons to prevent false positive pixels in the subsequent analysis.\u003c/p\u003e\u003cp\u003eRegion annotations were transferred from the α-syn stainings to Aβ and tau stainings with non-rigid registration by Deeperhistreg in Python (Python version 3.10.12) [\u003cspan additionalcitationids=\"CR47\" citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. For this co-registration, the whole-slide images were downsampled by a factor of 30 to reduce the computing load. All region annotations were visually inspected after transfer and upsampling and manually corrected if necessary.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eDeposit detection\u003c/span\u003e\u003c/p\u003e\u003cp\u003eThe annotated regions were divided into tiles of 4096*4096 pixels (900*900 \u0026micro;m\u0026sup2;) to reach a reasonable computing capacity. The preprocessing of the tiles included color deconvolution to extract the brown diaminobenzidine signal and conversion to gray-scale images, implemented in Python (Python version 3.10.12). These preprocessed images were then classified pixel-wise with a random forest pixel classifier trained with ilastik (version: ilastik-1.4.0.post1-Linux) for each staining (α-syn, Aβ, tau), separately. The models were trained with ten images from different brains and regions with variable deposit load. The α-syn model was optimized to detect dense deposits, mainly Lewy bodies and distinct Lewy neurites, while not labeling physiological synaptic α-syn staining. A threshold of 0.7 was chosen for all random forest classifier models. The output of the random forest pixel classifiers is a pixel-wise binary segmentation of deposits. The proportion of the positively stained area relative to the total tile area is called \u003cem\u003ecovered area\u003c/em\u003e or \u003cem\u003eload\u003c/em\u003e interchangeably. In a subsequent step, the models were tested using ten independent images from different subjects and regions and were inspected individually. For additional validation, an individual random forest classifier model was created in ilastik for each testing image to gain a reference standard. The results of the previously trained models were compared to these references and evaluated in terms of how many pixels were classified correctly (prediction accuracy) and how close the values of the absolute covered area matched the covered area in the reference independently from the exact localization of the pixels (area accuracy) (Supplementary Fig.\u0026nbsp;1).\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eDefinition of α-syn groups and subgroups in AD\u003c/span\u003e\u003c/p\u003e\u003cp\u003eAlzheimer\u0026rsquo;s disease patients are heterogeneous regarding their α-syn load. The simplest distinguishing criterion is α-syn deposit negative (\u003cem\u003eαSyn-\u003c/em\u003e) vs. positive (\u003cem\u003eαSyn+\u003c/em\u003e). Since the α-syn extent represents a smooth transition and might vary in some borderline cases, we defined a threshold of \u0026ge;\u0026thinsp;0.3% α-syn covered area in the individually most affected brain region to label a case as αSyn+ (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). As a minimum requirement, all cases assigned αSyn- needed to have at least an α-syn staining of the amygdala region as this is one of the most affected brain areas by α-syn in AD. However, as described before [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e], different α-syn distribution patterns exist, with a focus on brainstem, cortical, and amygdala predominant forms. To identify these patterns, the threshold of \u0026ge;\u0026thinsp;0.3% α-syn covered area was also applied to the mean of the most affected cortical regions (cingulate gyrus, superior and medial temporal gyrus, and insula cortex) and the brainstem (value of substantia nigra or locus coeruleus or mean of both if they were available). Based on these thresholds, the αSyn\u0026thinsp;+\u0026thinsp;group was further divided into three subgroups, namely \u003cem\u003eαSyn\u0026thinsp;+\u0026thinsp;A\u003c/em\u003e, with an amygdala predominant α-syn deposition, \u003cem\u003eαSyn\u0026thinsp;+\u0026thinsp;B\u003c/em\u003e, with a brainstem predominant α-syn load, and \u003cem\u003eαSyn\u0026thinsp;+\u0026thinsp;C\u003c/em\u003e, with cortical α-syn deposits.\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eStatistical analysis\u003c/h2\u003e\u003cp\u003eEpidemiological data between α-syn distribution groups were compared with a Mann-Whitney U test or Kruskal-Wallis test for continuous data, and a chi-squared test for categorical data.\u003c/p\u003e\u003cp\u003eα-syn, Aβ, and tau loads of groups and subgroups of AD patients were compared with multiple linear regression to control for age and sex. Five clusters of brain regions were defined to condense the large number of regions, namely, cortical, subcortical, hippocampal, brainstem, and amygdala-entorhinal cluster (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), leading to the following formula for each region cluster, respectively:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eCovered area ~ (sub-)group name\u0026thinsp;+\u0026thinsp;region name\u0026thinsp;+\u0026thinsp;sex\u0026thinsp;+\u0026thinsp;age\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u0026ldquo;Covered area\u0026rdquo; is the covered area/load of α-syn, Aβ, or tau. \u0026ldquo;(Sub-)group name\u0026rdquo; represents the name of the α-syn group or subgroup defined by thresholds (see \u0026ldquo;Definition of α-syn groups and subgroups in AD\u0026rdquo; and Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Groups/subgroups were compared pairwise. As region clusters were the input data, \u0026ldquo;region name\u0026rdquo; is a fixed effect for every individual brain region. Sex and age were added as further control parameters. As control analyses, the multiple linear regression was repeated without age and sex correction, or with ApoE4 carriage as an additional control parameter, alongside age, sex, and region name. Additionally, linear mixed-effects models were applied, incorporating random effects for each subject (1 | subject ID) into the above formula.\u003c/p\u003e\u003cp\u003eTo examine the association of α-syn load with age, sex, and ApoE status, we defined age groups (\u0026lt;\u0026thinsp;65 years at death (\u0026lt;\u0026thinsp;65), 65 to \u0026lt;\u0026thinsp;75 years (65\u0026ndash;75), 75 years or older (\u0026ge;\u0026thinsp;75)) and divided the AD patients with available ApoE status in ApoE4 carriers, defined as at least one ApoE4 allele, vs. no ApoE4. Subsequently, we applied multiple linear regression within each region cluster, controlling for the specific region names. Additional analyses were conducted, controlling for age and sex. These analyses were repeated for tau and Aβ load in parallel.\u003c/p\u003e\u003cp\u003eAll p-values were corrected for false discovery rate (FDR correction in R) for each analysis, respectively. Statistical tests were conducted with R (R version 4.1.2). The significance level was set to *p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, **p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, and ***p\u0026thinsp;\u0026lt;\u0026thinsp;0.001. Plots were created with Python (Python version 3.10.12). Color plotting on brain atlas images was conducted with Python in combination with Inkscape (Inkscape version 1.4) and the code was made publicly available on GitHub (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://github.com/cor2ni/2D_brain_plot\u003c/span\u003e\u003cspan address=\"https://github.com/cor2ni/2D_brain_plot\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eTo analyze the association of α-syn load and distribution with Aβ and tau pathology in AD, we analyzed immunohistochemical stainings of up to 28 brain regions per case in 72 AD patients (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The cohort had a mean age at death of 72.8 years (\u0026plusmn; 11.5 years standard deviation). 56% of the subjects were female. Most of the cases had a Braak and Braak stage VI and a Thal phase 5, corresponding to an advanced stage of AD. For 66 cases, information about the ApoE status was available, revealing at least one ApoE4 allele in 58% of the subjects.\u003c/p\u003e\u003cp\u003eThe deposit covered area was automatically quantified by random forest classifiers in 1016 regions in α-syn stainings, 1292 regions in tau stainings, and 1098 regions in Aβ stainings. By thresholding, AD patients were assigned to αSyn-, comprising 41% of the cases, and αSyn+, including 59% of the cases (Figs.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The latter were further divided in three α-syn distribution patterns (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Supplementary Table\u0026nbsp;6): αSyn\u0026thinsp;+\u0026thinsp;A, comprising around one third of the α-syn positive cases with an almost exclusive amygdala-entorhinal α-syn load; αSyn\u0026thinsp;+\u0026thinsp;B, including around 12% of the α-syn positive cases and characterized by a high brainstem α-syn load without cortical spread and a low amygdala involvement; αSyn\u0026thinsp;+\u0026thinsp;C, comprising around half of the α-syn positive cases and presenting with at least focal cortical α-syn deposits together with the highest amygdala-entorhinal and a relatively high brainstem α-syn load. All groups and subgroups were evaluated regarding their Aβ and tau load, revealing distinct loads in different brain regions.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eDemographic and neuropathological overview of α-syn groups in Alzheimer's disease\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAvailable n\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAll\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eαSyn-\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eαSyn+\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eStatistic,\u003c/p\u003e\u003cp\u003ep-value\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003en (%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e72 (100%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e29 (40%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e43 (60%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSex (female:male)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e40:32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e13:16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e27:16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;1.6, p\u0026thinsp;=\u0026thinsp;0.21\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAge at death [years]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e72.8 \u0026plusmn; 11.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e73.7 \u0026plusmn; 10.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e72.2 \u0026plusmn; 12.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eU\u0026thinsp;=\u0026thinsp;561.5, p\u0026thinsp;=\u0026thinsp;0.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBraak and Braak\u003c/p\u003e\u003cp\u003e(IV:V:VI)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8:14:50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1:7:21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7:7:29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;3.2, p\u0026thinsp;=\u0026thinsp;0.21\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eThal phase (3:4:5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e69\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2:7:60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1:2:25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1:5:35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;3.4, p\u0026thinsp;=\u0026thinsp;0.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTDP43 (neg:pos)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25:24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e14:7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e11:17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;2.6, p\u0026thinsp;=\u0026thinsp;0.11\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eApoE4 allele (neg:pos)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e28:38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15:12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e13:26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;2.4, p\u0026thinsp;=\u0026thinsp;0.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eAge at death presented as mean \u0026plusmn; first standard deviation; \u003cem\u003eU\u003c/em\u003e two-sided Mann-Whitney U test; \u003cem\u003eχ 2\u003c/em\u003e chi-squared test. \u003cem\u003eneg\u003c/em\u003e negative, \u003cem\u003epos\u003c/em\u003e positive. \u003csup\u003ea\u003c/sup\u003eThe three missing cases have a Thal phase\u0026thinsp;\u0026ge;\u0026thinsp;3\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eDemographic and neuropathological overview of α-syn distribution subgroups\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAvail. n\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eαSyn-\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eαSyn\u0026thinsp;+\u0026thinsp;A (amygdala pred.)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eαSyn\u0026thinsp;+\u0026thinsp;B (brainstem pred.)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eαSyn\u0026thinsp;+\u0026thinsp;C (cortical α-syn)\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eStatistic,\u003c/p\u003e\u003cp\u003ep-value\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003en (%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e29 (41%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15 (21%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5 (7%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e22 (31%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSex (female:male)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e39:32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e13:16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e11:4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2:3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e13:9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;3.9, p\u0026thinsp;=\u0026thinsp;0.28\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAge at death\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e73.7 \u0026plusmn; 10.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e76.5 \u0026plusmn; 9.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e76.6 \u0026plusmn; 5.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e68.5 \u0026plusmn; 13.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eK\u0026thinsp;=\u0026thinsp;4.07, p\u0026thinsp;=\u0026thinsp;0.25\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBraak and Braak\u003c/p\u003e\u003cp\u003e(IV:V:VI)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1:7:21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0:1:14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2:2:1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5:4:13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;15.5, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.016\u003c/b\u003e\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eThal phase (3:4:5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e68\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1:2:25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0:0:15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0:2:3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1:3:16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;14.6, p\u0026thinsp;=\u0026thinsp;0.27\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTDP43 (neg:pos)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14:7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e5:6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3:2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3:9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;5.6, p\u0026thinsp;=\u0026thinsp;0.13\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eApoE4 allele (neg:pos)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15:12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e6:7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1:4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5:15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eχ 2\u0026thinsp;=\u0026thinsp;5.5, p\u0026thinsp;=\u0026thinsp;0.14\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"7\"\u003eSignificant p-values were labeled in bold. Age at death presented as mean \u0026plusmn; first standard deviation; \u003cem\u003eK\u003c/em\u003e Kruskal-Wallis test; \u003cem\u003eχ 2\u003c/em\u003e chi-squared test; \u003cem\u003eAvail.\u003c/em\u003e available, \u003cem\u003eneg\u003c/em\u003e negative, \u003cem\u003epos\u003c/em\u003e positive, \u003cem\u003epred.\u003c/em\u003e predominant. \u003csup\u003ea\u003c/sup\u003eThe three missing cases have a Thal phase\u0026thinsp;\u0026ge;\u0026thinsp;3. \u003csup\u003eb\u003c/sup\u003eBraak and Braak staging was significantly different between αSyn- and αSyn\u0026thinsp;+\u0026thinsp;B (χ 2\u0026thinsp;=\u0026thinsp;8.7, p\u0026thinsp;=\u0026thinsp;0.013), and αSyn\u0026thinsp;+\u0026thinsp;A and αSyn\u0026thinsp;+\u0026thinsp;B (χ 2\u0026thinsp;=\u0026thinsp;11.5, p\u0026thinsp;=\u0026thinsp;0.003)\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003ch2\u003eα-syn load and distribution in AD\u003c/h2\u003e\u003cp\u003eThe αSyn- and αSyn\u0026thinsp;+\u0026thinsp;cases showed a comparable age distribution (independent t-test: p\u0026thinsp;=\u0026thinsp;0.6). In the αSyn\u0026thinsp;+\u0026thinsp;group, there were comparatively more female than male subjects while the αSyn- group had a slight male predominance, although the difference was not significant (p\u0026thinsp;=\u0026thinsp;0.21). There was no significant difference regarding the Braak and Braak staging (p\u0026thinsp;=\u0026thinsp;0.21) or Thal phase (p\u0026thinsp;=\u0026thinsp;0.5) between groups. There were proportionally more TDP43 positive cases in the αSyn\u0026thinsp;+\u0026thinsp;group, however, not significantly (p\u0026thinsp;=\u0026thinsp;0.11). There were also more cases carrying at least one ApoE4 allele in proportion to non-carriers in the αSyn\u0026thinsp;+\u0026thinsp;group than in the αSyn- group but also not significantly (p\u0026thinsp;=\u0026thinsp;0.12). Thus, there might be a female sex, TDP43, and ApoE4 bias in the α-syn positive group, even without reaching significance. However, it is not clear if this association is causally related or a limitation of the available cohort.\u003c/p\u003e\u003cp\u003eBy definition, the αSyn\u0026thinsp;+\u0026thinsp;cases showed a higher α-syn load than αSyn- cases. Performing multiple linear regression correcting for the specific region name, age, and sex, there was a significant difference between αSyn\u0026thinsp;+\u0026thinsp;and αSyn- cases in cortical, subcortical, hippocampal, amygdala-entorhinal, and brainstem region clusters (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), confirming the split into these two groups. The αSyn\u0026thinsp;+\u0026thinsp;cases showed the highest median α-syn load in the amygdala-entorhinal area, followed by the brainstem and hippocampal region, and low coverage in subcortical areas (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The α-syn load in cortical regions was low in the median but showed a large variability and thereby reached the highest values of covered area in single subjects. These findings suggest a region-dependent predestination for α-syn deposits in AD with a special focus on the amygdala in many cases, but a broad inter-patient variability.\u003c/p\u003e\u003cp\u003eAs additional control analyses, we conducted multiple linear regression without correction for sex and age or with ApoE4 as an additional control factor. Both models showed significantly higher α-syn load in the αSyn\u0026thinsp;+\u0026thinsp;group in all region clusters. Furthermore, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID, only the difference in the amygdala-entorhinal region remained significant, indicating a strong difference in the amygdala (Supplementary Table\u0026nbsp;2). Comparing the α-syn load of αSyn\u0026thinsp;+\u0026thinsp;with αSyn- cases in 28 brain regions separately under correction of age and sex, there was a significantly higher α-syn covered area in the substantia nigra (p\u0026thinsp;=\u0026thinsp;0.005), amygdala (p\u0026thinsp;=\u0026thinsp;0.005), entorhinal cortex (p\u0026thinsp;=\u0026thinsp;0.023), and olfactory bulb (p\u0026thinsp;=\u0026thinsp;0.023), suggesting these regions as a focus of α-syn co-pathology in AD (Supplementary Table\u0026nbsp;3). Other brain regions, e.g., the hippocampus and insula cortex, are also affected. However, probably due to the small absolute numbers, the p-values were not statistically significant for other brain regions.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComparison of the α-syn covered area between αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- cases with multiple linear regression controlling for age and sex and correction for false discovery rate\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eRegion cluster\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en (αSyn-)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003en (αSyn+)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn- cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn\u0026thinsp;+\u0026thinsp;cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ, p-value (age, sex corrected)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ecortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e348\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.001 [0.0004; 0.003]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.09 [0.008; 0.48]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.009, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esubcortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.001 [0.0001; 0.003]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.06 [0.015; 0.35]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.003, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.026\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ehippocampal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e176\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.0006 [0.0002; 0.002]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.17 [0.017; 0.61]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.005, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAmygdala-entorhinal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.0013 [0.0002; 0.006]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0.67\u003c/b\u003e [0.30; 1.4]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.013, p\u0026thinsp;=\u0026thinsp;\u0026lt;\u0026thinsp;\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebrainstem\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.0025 [0.0007; 0.006]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.19 [0.014; 0.72]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.005, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eSignificant p-values and the highest median α-syn covered area of the αSyn\u0026thinsp;+\u0026thinsp;group were labeled in bold. \u003cem\u003eID\u003c/em\u003e subject ID, \u003cem\u003eIQR\u003c/em\u003e interquartile range\u003c/p\u003e\u003cp\u003eComparing the sex distribution in the α-syn positive subgroups with the αSyn- cases, there was a female preponderance in αSyn\u0026thinsp;+\u0026thinsp;A, however, without reaching significance (p\u0026thinsp;=\u0026thinsp;0.28). There was a trend towards younger age at death in αSyn\u0026thinsp;+\u0026thinsp;C with a mean age of 68.5 years (\u0026plusmn; 13.6 years standard deviation) in comparison with 76.5 \u0026plusmn; 9.2 years in αSyn\u0026thinsp;+\u0026thinsp;A, 76.6 \u0026plusmn; 5.6 years in αSyn\u0026thinsp;+\u0026thinsp;B, and 73.7 \u0026plusmn; 10.5 years in αSyn- cases. Although this finding did not reach significance (p\u0026thinsp;=\u0026thinsp;0.25) and there was a broad variability between cases, this observation suggests a negative association between cortically spread α-syn pathology in AD and survival. The Braak and Braak staging distribution was shifted towards lower Braak and Braak stages in αSyn\u0026thinsp;+\u0026thinsp;B, which reached significance when comparing αSyn- and αSyn\u0026thinsp;+\u0026thinsp;B (p\u0026thinsp;=\u0026thinsp;0.013), as well as between αSyn\u0026thinsp;+\u0026thinsp;A and αSyn\u0026thinsp;+\u0026thinsp;B (p\u0026thinsp;=\u0026thinsp;0.003). There was no significant difference regarding the Thal phases (p\u0026thinsp;=\u0026thinsp;0.27). Where TDP43 information was available, two thirds of the αSyn- cases were also TDP43 negative while three quarters of the αSyn\u0026thinsp;+\u0026thinsp;C subgroup were TDP43 positive. Performing a chi-squared test over these groups, there was also no significant difference (p\u0026thinsp;=\u0026thinsp;0.13). Regarding the presence or absence of the ApoE4 allele, 75% of the αSyn\u0026thinsp;+\u0026thinsp;C cases had at least one ApoE4 allele while it was more balanced in αSyn- and αSyn\u0026thinsp;+\u0026thinsp;A cases, although these group comparisons did not reach significance in a chi-squared test (p\u0026thinsp;=\u0026thinsp;0.14).\u003c/p\u003e\u003cp\u003eTo confirm that the α-syn distribution subgroups vary in their α-syn distributions, we applied multiple linear regression controlling for specific region names, sex, and age. Detailed results are presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and Supplementary Tables\u0026nbsp;6 and 9. In pairwise tests, all groups are significantly different from each other in their α-syn load across cortical regions, with the highest α-syn load in αSyn\u0026thinsp;+\u0026thinsp;C and, after a large gap, αSyn\u0026thinsp;+\u0026thinsp;B in second place. αSyn\u0026thinsp;+\u0026thinsp;C and to a lesser extent αSyn\u0026thinsp;+\u0026thinsp;B show significantly higher subcortical α-syn load than αSyn- cases. αSyn\u0026thinsp;+\u0026thinsp;C significantly shows the highest hippocampal and amygdala-entorhinal α-syn load, much higher than the actual amygdala-entorhinal predominant α-syn subgroup αSyn\u0026thinsp;+\u0026thinsp;A. αSyn\u0026thinsp;+\u0026thinsp;B and αSyn\u0026thinsp;+\u0026thinsp;C show higher brainstem α-syn loads than subgroup αSyn\u0026thinsp;+\u0026thinsp;A. Within αSyn\u0026thinsp;+\u0026thinsp;A, the highest α-syn load is in the amygdala and lower in other brain regions. αSyn\u0026thinsp;+\u0026thinsp;B shows the highest α-syn levels in the brainstem with low values in other brain regions, affirming its definition. Interestingly, αSyn\u0026thinsp;+\u0026thinsp;C manifests with an α-syn amygdala predominance next to high deposit loads in some cortical regions, and often a lower, but still high amount in other brain regions. The high deposit load in the amygdala in αSyn\u0026thinsp;+\u0026thinsp;C suggests a general α-syn sensitivity of the amygdala in AD, independent of the exact α-syn distribution type. In total, the identified distribution patterns propose the presence of distinct pathological α-syn accumulation features with overlaps, e.g., in the amygdala.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eTau load in relation to α-syn distribution\u003c/span\u003e\u003c/p\u003e\u003cp\u003eAccording to the inclusion criteria of Braak and Braak stage\u0026thinsp;\u0026ge;\u0026thinsp;IV, all AD cases showed marked tau pathology. The most affected area was the amygdala-entorhinal region, followed by the hippocampal region and the cortical region in third place (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). There was a low tau covered area in the brainstem and subcortical areas. To examine potential associations between tau and α-syn loads, we compared the tau covered area of αSyn- vs. αSyn\u0026thinsp;+\u0026thinsp;cases with multiple linear regression, correcting for the specific region name, age, and sex. Interestingly, there was no significant effect of α-syn presence on tau load in any brain region cluster (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e), suggesting independent accumulation of α-syn and (AT8-) hyperphosphorylated tau.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eAs additional control analyses, we conducted multiple linear regression without correction for sex and age or with additional correction for ApoE4. Following the previous analysis, there was no significant difference regarding the tau load between αSyn- and αSyn\u0026thinsp;+\u0026thinsp;groups in all region clusters. Furthermore, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID also yielded no significant difference (Supplementary Table\u0026nbsp;2). Comparing the tau load of αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- cases in 28 brain regions separately under correction of age and sex, there was no significant difference (Supplementary Table\u0026nbsp;4). These findings support a theory of tau accumulation that is independent from α-syn deposits.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComparison of the tau covered area between αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- cases with multiple linear regression controlling for age and sex and correction for false discovery rate\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eRegion cluster\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en (αSyn-)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003en (αSyn+)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn- cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn\u0026thinsp;+\u0026thinsp;cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ, p-value (age, sex corrected)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ecortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e216\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e14.4 [7.7; 23]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e13.2 [5.3; 23.1]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.012, p\u0026thinsp;=\u0026thinsp;0.19\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esubcortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1.5 [0.6; 4]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1.7 [0.6; 5.6]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.003, p\u0026thinsp;=\u0026thinsp;0.72\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ehippocampal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e222\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e19.8 [13.1; 27.5]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e18.9 [10.4; 27.3]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.017, p\u0026thinsp;=\u0026thinsp;0.19\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAmygdala-entorhinal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e26.3\u003c/b\u003e [18.3; 33]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e19.8\u003c/b\u003e [12; 30.6]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.043, p\u0026thinsp;=\u0026thinsp;0.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebrainstem\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2.4 [1.7; 3.6]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1.9 [01.3; 3]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.002, p\u0026thinsp;=\u0026thinsp;0.72\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe highest median tau covered areas of αSyn\u0026thinsp;+\u0026thinsp;and αSyn- groups were labeled in bold. \u003cem\u003eID\u003c/em\u003e subject ID, \u003cem\u003eIQR\u003c/em\u003e interquartile range\u003c/p\u003e\u003cp\u003eTo examine whether tau distribution varies between α-syn positive subgroups, we performed multiple linear regression controlling for specific region names, age, and sex (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Supplementary Tables\u0026nbsp;7 and 9). After FDR correction, there was a significantly decreased tau load in αSyn\u0026thinsp;+\u0026thinsp;B compared to αSyn- cases in cortical (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), hippocampal (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and amygdala-entorhinal regions (p\u0026thinsp;=\u0026thinsp;0.021). Furthermore, but only with correction for age and sex, there was a significantly higher tau load in αSyn\u0026thinsp;+\u0026thinsp;A than in αSyn- cases across cortical regions (p\u0026thinsp;=\u0026thinsp;0.004), indicating a positive association between α-syn in the amygdala and cortical tau accumulation. On the other hand, there was a significantly lower tau load in αSyn\u0026thinsp;+\u0026thinsp;C than in αSyn- cases across cortical regions (p\u0026thinsp;=\u0026thinsp;0.022), which was also only evident when controlling for age and sex, suggesting a relatively lower cortical tau load at death when cortical α-syn load is apparent. These findings were comparable with additional statistical correction for ApoE4 carriage, except for the lower tau load of αSyn\u0026thinsp;+\u0026thinsp;B in the amygdala-entorhinal region.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eAβ load in relation to α-syn distribution\u003c/span\u003e\u003c/p\u003e\u003cp\u003eThe analyzed AD cases showed marked Aβ pathology, predominantly corresponding to Thal phase 5 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The most affected areas were the parietal, frontal, and temporal cortices, followed by the amygdala, hippocampal, subcortical, and brainstem areas, which were impacted to a markedly lesser extent (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e, refer to Supplementary Table\u0026nbsp;5 for results per region). To examine potential associations between Aβ and α-syn loads, we compared the Aβ covered area of αSyn- vs. αSyn\u0026thinsp;+\u0026thinsp;cases with multiple linear regression, correcting for the specific region name, age, and sex. There was a significantly higher Aβ load in cortical brain regions of αSyn\u0026thinsp;+\u0026thinsp;cases (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e), suggesting an association of cortical Aβ with α-syn load.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eAs control analyses, we conducted multiple linear regression without correction for sex and age. Again, there was a significant difference regarding the Aβ load between αSyn- and αSyn\u0026thinsp;+\u0026thinsp;groups in cortical regions (Supplementary Table\u0026nbsp;2). Additionally, there were significantly higher Aβ covered areas in subcortical and hippocampal regions, suggesting a positive association between Aβ and α-syn across regions. Supplementing the multiple linear regression model with ApoE4 next to sex, age, and region name, the cortical Aβ load showed a trend but was not significantly different (p\u0026thinsp;=\u0026thinsp;0.077). In a further control analysis, applying linear mixed-effects models with correction for age, sex, and a random factor for subject ID, there was also no significant difference, probably due to overcorrection (Supplementary Table\u0026nbsp;2). Regarding the 28 brain regions separately, the Aβ load was higher in the αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- group in the occipital sulcus, the insula cortex and the parahippocampal gyrus, however, these effects did not stay significant after FDR correction or after correction for age and sex (Supplementary Table\u0026nbsp;5). Thus, the increase of the Aβ load in αSyn\u0026thinsp;+\u0026thinsp;AD cases becomes particularly apparent when multiple regions are considered in one analysis, it is mostly evident in cortical areas, and the effect is partly explained by ApoE4 carriage.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComparison of the Aβ covered area between αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- groups with multiple linear regression controlling for age and sex and correction for false discovery rate\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eRegion cluster\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en (αSyn-)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003en (αSyn+)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn- cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eMedian [IQR] [%] of αSyn\u0026thinsp;+\u0026thinsp;cases\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ, p-value (age, sex corrected)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ecortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e149\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e288\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e3.9\u003c/b\u003e [2.2; 6]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e5.4\u003c/b\u003e [3.0; 9.7]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.017, p\u0026thinsp;=\u0026thinsp;\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esubcortical\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.5 [0.2; 0.9]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1.5 [0.4; 3.3]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.012, p\u0026thinsp;=\u0026thinsp;0.09\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ehippocampal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e226\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.9 [0.2; 1.8]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1.2 [0.3; 3.5]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026thinsp;=\u0026thinsp;0.007, p\u0026thinsp;=\u0026thinsp;0.09\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAmygdala-entorhinal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2.4 [1.5; 2.9]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1.5 [0.9; 3.3]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ=-0.002, p\u0026thinsp;=\u0026thinsp;0.86\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebrainstem\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.7 [0.3; 1.3]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.7 [0.3; 1.6]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eβ\u0026lt;-0.001, p\u0026thinsp;=\u0026thinsp;0.86\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eSignificant p-values and the highest median Aβ covered area of αSyn- and αSyn\u0026thinsp;+\u0026thinsp;groups were labeled in bold. \u003cem\u003eID\u003c/em\u003e subject ID, \u003cem\u003eIQR\u003c/em\u003e interquartile range\u003c/p\u003e\u003cp\u003eTo examine whether the increased Aβ load can be attributed to specific α-syn positive subgroups, we applied multiple linear regression controlling for region names, age, and sex (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, Supplementary Table\u0026nbsp;9). After FDR correction, there was a significantly increased Aβ load in αSyn\u0026thinsp;+\u0026thinsp;A compared to αSyn- cases across cortical regions (p\u0026thinsp;=\u0026thinsp;0.037) and subcortical regions (p\u0026thinsp;=\u0026thinsp;0.048). Additionally, there was a significantly increased Aβ load in αSyn\u0026thinsp;+\u0026thinsp;C compared to αSyn- (p\u0026thinsp;=\u0026thinsp;0.01) across cortical regions, suggesting that the finding described above of more cortical Aβ in αSyn\u0026thinsp;+\u0026thinsp;cases is mainly driven by α-syn subgroups αSyn\u0026thinsp;+\u0026thinsp;A and αSyn\u0026thinsp;+\u0026thinsp;C. With additional correction for ApoE4 carriage, there was a significantly higher Aβ load in the cortical regions of the αSyn\u0026thinsp;+\u0026thinsp;A vs. αSyn- (p\u0026thinsp;=\u0026thinsp;0.023) and αSyn\u0026thinsp;+\u0026thinsp;B (p\u0026thinsp;=\u0026thinsp;0.0024) and in the hippocampal region of αSyn\u0026thinsp;+\u0026thinsp;A vs. αSyn\u0026thinsp;+\u0026thinsp;C (p\u0026thinsp;=\u0026thinsp;0.010), supporting the notion of a particularly higher Aβ load in αSyn\u0026thinsp;+\u0026thinsp;A.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eα-syn co-pathology in relation to age, sex, and ApoE genotype\u003c/span\u003e\u003c/p\u003e\u003cp\u003eWe examined the association of α-syn co-pathology in AD with age at death, sex, and ApoE status (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). In detail, we applied multiple linear regression with α-syn covered area as the target variable and sex as a predictor variable across region clusters, controlling for the specific region names. There was a higher α-syn load in cortical regions in female vs. male cases (β=-0.0049, p\u0026thinsp;=\u0026thinsp;0.038), which did not remain significant after FDR correction (p\u0026thinsp;=\u0026thinsp;0.19), suggesting a slight trend towards higher cortical α-syn load in female subjects. The results were comparable after additionally correcting for age. The α-syn load did not differ between female and male cases in other brain regions.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTo examine the association with age, we defined three age groups: \u0026lt;65 years at death (\u0026lt;\u0026thinsp;65), 65 to \u0026lt;\u0026thinsp;75 years (65\u0026ndash;75), 75 years or older (\u0026ge;\u0026thinsp;75). Thereby, it should be noted that all cases pertain to advanced stages of AD. We applied multiple linear regression with α-syn covered area as the target variable and age group as a predictor variable across region clusters, controlling for specific region names. Before FDR correction, there was a significantly higher cortical α-syn load in 65\u0026ndash;75 aged AD patients compared with \u0026lt;\u0026thinsp;65 cases (β\u0026thinsp;=\u0026thinsp;0.007, p\u0026thinsp;=\u0026thinsp;0.033). This result was not significant after FDR correction or correction for sex. Interestingly, there was a significantly lower α-syn load in the hippocampal region in 65\u0026ndash;75 aged AD patients compared with \u0026lt;\u0026thinsp;65 cases (β=-0.0033, p\u0026thinsp;=\u0026thinsp;0.030), which was also significant after correction for sex but not after FDR correction. The amygdala-entorhinal α-syn load was significantly lower in \u0026ge;\u0026thinsp;75 aged patients compared with 65\u0026ndash;75 cases (β=-0.0078, p\u0026thinsp;=\u0026thinsp;0.033), which was also significant after correction for sex but not after FDR correction. In total, these results suggest that α-syn co-pathology in general appears independent from patient age, but a higher hippocampal and amygdala-entorhinal α-syn load might be associated with a younger age at death to a certain extent. Another explanation could be that younger patients with initiated protein deposition cascades can accumulate higher α-syn loads in the hippocampus and amygdala until death, maybe due to fewer life-limiting comorbidities. However, this trend was not reflected in cortical regions.\u003c/p\u003e\u003cp\u003eIn order to evaluate the association of α-syn load in AD with the ApoE genotype, we compared AD cases with at least one ApoE4 allele to cases without ApoE4. Again, multiple linear regression was applied with α-syn load as the target variable and ApoE status as the predictor variable across region clusters, controlling for the specific region names. The cortical α-syn load of ApoE4 carriers was significantly lower (β=-0.0055, p\u0026thinsp;=\u0026thinsp;0.034) but did not remain significant after FDR correction or correction for sex and age. On the other hand, there was a significantly higher α-syn load in hippocampal (β\u0026thinsp;=\u0026thinsp;0.0045, p\u0026thinsp;=\u0026thinsp;0.0019) and amygdala-entorhinal regions (β\u0026thinsp;=\u0026thinsp;0.0066, p\u0026thinsp;=\u0026thinsp;0.038) of ApoE4 carriers which was significant after correction for age and sex but only the difference in the hippocampal regions stayed significant after FDR correction (p\u0026thinsp;=\u0026thinsp;0.009 without and p\u0026thinsp;=\u0026thinsp;0.016 with correction for age and sex). These results suggest ApoE4 as a risk factor for higher hippocampal and putatively amygdala-entorhinal α-syn load, which in turn might be associated with a younger age at death.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eAβ and tau load in relation to age, sex, and ApoE genotype\u003c/span\u003e\u003c/p\u003e\u003cp\u003eAdditionally, we investigated the relation of age, sex, and ApoE genotype regarding tau and Aβ load (Supplementary Fig.\u0026nbsp;2 and Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). We applied multiple linear regression with tau or Aβ covered area as the target variable and sex, age, or ApoE as a predictor variable across region clusters, controlling for the specific region names and FDR-correction. There was a significantly higher tau load in male patients in the hippocampal (β\u0026thinsp;=\u0026thinsp;0.029, p\u0026thinsp;=\u0026thinsp;0.009) and amygdala-entorhinal regions (β\u0026thinsp;=\u0026thinsp;0.06, p\u0026thinsp;=\u0026thinsp;0.009), which was also significant after correction for age (p\u0026thinsp;=\u0026thinsp;0.022, respectively). Conversely, the Aβ load was significantly higher in female patients in cortical (β=-0.022, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and hippocampal regions (β=-0.013, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), which was significant after correction for age. These findings suggest a sex imbalance towards tau in male and Aβ in female cases.\u003c/p\u003e\u003cp\u003eRegarding different age groups, all with advanced disease stages, there was a significantly lower cortical tau load in the oldest group (\u0026ge;\u0026thinsp;75 years at death) than in the younger age groups, \u0026lt;\u0026thinsp;65 (β=-0.024, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and 65\u0026ndash;75 (β=-0.024, p\u0026thinsp;=\u0026thinsp;0.038). Both findings were significant after correction for sex. In line with this observation, there was a significantly higher Aβ load in the youngest age group, \u0026lt;\u0026thinsp;65 years, than in 65\u0026ndash;75 years old patients in hippocampal regions (β=-0-016, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and in brainstem regions in 65\u0026ndash;75 (β=-0.015, p\u0026thinsp;=\u0026thinsp;0.007) and \u0026ge;\u0026thinsp;75 years cases (β=-0.007, p\u0026thinsp;=\u0026thinsp;0.0027). The findings remained significant after correction for sex and suggest a higher deposit load in younger AD cases at death.\u003c/p\u003e\u003cp\u003eConcerning the presence of at least one ApoE4 allele, there was no significant association with tau covered areas but with further age and sex correction, there was a significantly decreased tau load in ApoE4 carriers in cortical (β=-0.020, p\u0026thinsp;=\u0026thinsp;0.03), hippocampal (β=-0.026, p\u0026thinsp;=\u0026thinsp;0.03), and amygdala-entorhinal regions (β=-0.043, p\u0026thinsp;=\u0026thinsp;0.049). Regarding Aβ, there was a higher Aβ load in cortical regions of ApoE4 carriers (β\u0026thinsp;=\u0026thinsp;0.019, p\u0026thinsp;=\u0026thinsp;0.001), also significant after age and sex correction. This finding coincides with the high Aβ load in the αSyn\u0026thinsp;+\u0026thinsp;C cases with a relatively high proportion of ApoE4 carriers. ApoE4 might be related to disseminated α-syn deposition and to a higher cortical Aβ load with a speculative causal relationship.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eQuantifying Aβ, tau, and α-syn load across brain regions in 72 Alzheimer\u0026rsquo;s disease (AD) patients, 60% of the cases showed detectable Lewy pathology. The α-syn deposit load predominates in the amygdala but is heterogeneous in cortical and brainstem regions, matching several distribution patterns. The extent of Aβ and tau load varies between these α-syn subgroups, suggesting direct and indirect protein interactions and confounding factors.\u003c/p\u003e\u003cp\u003eApproaching previously specified Lewy body pathology patterns [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e], we assigned α-syn positive (αSyn+) AD cases to three subgroups by thresholding the regional α-syn covered areas. The biggest subgroup αSyn\u0026thinsp;+\u0026thinsp;C showed disseminated α-syn pathology at least somewhere in the cortex and a high amount in the amygdala. The second largest subgroup, αSyn\u0026thinsp;+\u0026thinsp;A, exhibits an amygdala predominant α-syn pattern without significant Lewy pathology in the cortex. Finally, few AD cases mainly had α-syn deposits in the brainstem, αSyn\u0026thinsp;+\u0026thinsp;B, more specifically in the substantia nigra and to a lesser extent in the locus coeruleus. This classification approximates previously described amygdala predominant and disseminated α-syn distribution patterns in AD [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Lacking olfactory bulb tissue in a high number of cases did not allow for detection of rare cases with olfactory only Lewy pathology described by Attems et al. [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Additionally, a bigger cohort would be needed to detect a limbic predominant subgroup, which is probably currently included as part of the cortical subgroup.\u003c/p\u003e\u003cp\u003eIt is noticeable that the amygdala was the most affected region by α-syn deposits in AD, followed by the CA2 region of the hippocampus. This finding is apparent across subgroups except for some brainstem predominant cases. While the amygdala predominance of α-syn in AD was described before [\u003cspan additionalcitationids=\"CR22\" citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], the reasons for the region's sensitivity are still under discussion [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. Nevertheless, distinct Lewy pathology distributions described in DLB [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] are also present in AD as a spectrum of co-pathology patterns related to partly overlapping clinical symptoms [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eTau load varies between α-syn subgroups\u003c/span\u003e\u003c/p\u003e\u003cp\u003eComparing the (AT8-) hyperphosphorylated tau load of αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- AD cases with multiple linear regression correcting for age and sex, there was no significant difference. This finding is consistent with previous immunohistochemical analyses showing comparable tau loads in AD with and without Lewy body co-pathology [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. However, comparing αSyn- cases with three α-syn positive subgroups, there were significant differences, emphasizing the importance of patient stratification. We found a significantly increased cortical tau load in the amygdala predominant α-syn subgroup, αSyn\u0026thinsp;+\u0026thinsp;A, compared to the αSyn- group, while the cortical tau load was lower in αSyn\u0026thinsp;+\u0026thinsp;B and αSyn\u0026thinsp;+\u0026thinsp;C. These results demonstrate a variable association between α-syn and tau load depending on the α-syn distribution and highlight the importance of statistical adjustment for age and sex.\u003c/p\u003e\u003cp\u003eEspecially within the amygdala, some neurons contain Lewy bodies and neurofibrillary tangles concomitantly [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. A co-localization was also described in astrocytes [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Arai and colleagues argue that not all α-syn aggregations are Lewy bodies; on the other hand, the tau load might impact which regions develop more Lewy bodies [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The molecular relationship between α-syn and tau and its consequences are still under discussion, with several studies claiming adverse interactions between these proteins: α-syn and tau share molecular similarities and overlap in their radius of action [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Specific α-syn and tau isoforms show heightened binding affinities towards each other [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. α-syn plays a role in tau phosphorylation, and the proteins promote each other\u0026rsquo;s fibrillization [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. There are further hints for α-syn driving tau accumulation through genetic elements responsible for higher baseline \u003cem\u003eSNCA\u003c/em\u003e expression [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. Ultimately, subjects with a positive cerebrospinal fluid α-syn seed aggregation assay had higher tau PET signals [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe increased cortical tau load in αSyn\u0026thinsp;+\u0026thinsp;A fits the hypothesis of mutual α-syn-tau interactions. The brainstem predominant α-syn pattern seems to drop out of general patterns like amygdala predominance and therefore might correspond to separate mechanisms. The cortical α-syn subgroup showed a decreased tau load with a tendency for a younger age at death [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. An explanation could be that AD with disseminated α-syn pathology is fatal before the tau load reaches levels as high as in α-syn negative AD cases. α-syn may add to the toxic effect of hyperphosphorylated tau, so clinical relevance is already reached at a lower tau level.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eAβ load is increased in α-syn subgroups\u003c/span\u003e\u003c/p\u003e\u003cp\u003eComparing the Aβ load of αSyn\u0026thinsp;+\u0026thinsp;vs. αSyn- AD cases with multiple linear regression correcting for age and sex, there was an increased Aβ load in α-syn positive cases attributable to αSyn\u0026thinsp;+\u0026thinsp;A and partly αSyn\u0026thinsp;+\u0026thinsp;C subgroups. There was also a trend of higher Aβ load in subcortical and hippocampal regions, supporting a general tendency. Such a positive association between Aβ and α-syn was partly described before in the clinical spectrum of AD and dementia with Lewy bodies [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] and the other way around in Lewy body dementia with Aβ co-pathology [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. This finding also accords with semiquantitative studies revealing a strong association between AD pathology and amygdala-predominant α-syn deposition, while there was no such effect in a caudo-rostral α-syn co-pathology group [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. On a more mechanistic level, several studies support an association between Aβ and α-syn [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Nuclear magnetic resonance spectroscopy suggests interaction of Aβ with membrane-associated α-syn [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. In-vitro and in-vivo experiments support the hypothesis that Aβ promotes α-syn aggregation [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. However, this hypothesis did not apply for specific regions, e.g., the Aβ load was not increased in the amygdala of the amygdala predominant or cortical α-syn subgroups. These findings suggest a more complex interplay involving multiple factors, rather than local correlations.\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eAssociation of ApoE4, sex, and age with AD and α-syn co-pathology\u003c/span\u003e\u003c/p\u003e\u003cp\u003eComparing epidemiological data in terms of age, sex, and ApoE genotype among α-syn groups and subgroups in AD, no significant differences were apparent in line with previous observations [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. However, regarding the ApoE genotype, there was a trend towards more ApoE4 carriers in the partition with α-syn deposits, more specifically in the αSyn\u0026thinsp;+\u0026thinsp;C cases. Comparing ApoE4 carriers with no ApoE4 carriers with multiple linear regression across regions, the ApoE4 allele was associated with a significantly higher α-syn load in the hippocampus. Additionally, the ApoE4 allele was associated with a higher cortical Aβ load and a lower tau load in several brain regions after age and sex correction. These results are supported by literature, presenting ApoE4 as a risk factor for AD [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] with the specific effects on Aβ and tau differing between studies, approaches, and brain regions [\u003cspan additionalcitationids=\"CR61 CR62 CR63\" citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e]. ApoE4 is also a risk factor for DLB [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e] and increased α-syn levels in the cerebrospinal fluid of AD patients [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eRegarding sex differences, there was a trend towards more female subjects in the partition with α-syn deposits, mostly apparent in αSyn\u0026thinsp;+\u0026thinsp;A subgroup. Examining the association of the α-syn load in AD with sex across brain regions with multiple linear regression, there was no significant difference, suggesting that male and female patients show comparable α-syn load. This is in line with more or less sex-balanced cohorts in DLB [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e]. Besides, we observed an increased Aβ load in female patients and an increased tau load in male patients predicted with multiple linear regression across brain regions. These findings align with the observations in a transgenic mouse model [\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e]. Several studies in humans found increased Aβ and tau load in women [\u003cspan additionalcitationids=\"CR69\" citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e70\u003c/span\u003e]. The discrepancy in the tau results may be attributable to differences in age distributions and analytical approaches.\u003c/p\u003e\u003cp\u003eThe AD subgroup with disseminated cortical α-syn tended to have a lower mean age at death, consistent with previous observations [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Including all AD cases, the α-syn load did not differ significantly between age groups tested with multiple linear regression. This is in line with observations that α-syn co-pathology is common in sporadic but also in younger genetic cases [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e] and thus, cannot be explained by simple accumulation with age. Comparing Aβ and tau load in AD between different ages with multiple linear regression across brain regions, the Aβ and tau load were focally increased in patients with a younger age at death. These results are partly in accordance with previous PET analyses which showed increased tau accumulation in younger Aβ-positive subjects, while Aβ deposition was faster in older cases [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e]. In agreement with this finding, a PET study by Lowe et al. reported increasing tau load with age in cognitively unimpaired samples but a higher tau load in younger cognitively impaired patients, suggesting higher loads in younger-onset AD [\u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e71\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn summary, ApoE4 is a risk factor for higher α-syn and Aβ load in AD. While the Aβ load is higher in female cases and the tau load is increased in male patients, there was no significant difference in the α-syn load between sexes. Aβ and tau load are partly increased in younger patients with dementia compared to older cases. α-syn co-pathology appears across all ages. The findings emphasize the importance of control for age and sex in research analyses, and especially in clinical diagnostics and therapies [\u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e72\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eStrengths and Limitations\u003c/span\u003e\u003c/p\u003e\u003cp\u003eA strength of this study is the large size of the dataset, comprising many brain regions analyzed in up to three immunohistochemical stainings. The region annotation was standardized, and the deposit detection was automated to gain reliable and objective quantifications. Despite this extensive approach, the study has several limitations. First, the dataset could be even larger and more complete regarding the availability of α-syn stainings across brain regions to be more sensitive for smaller α-syn subgroups and to reduce the potential bias of missing stainings. For example, a pure olfactory α-syn subgroup is imaginable but was not delimitable because of its rare appearance; additionally, the sex, age, and ApoE4 evaluation is limited by a relatively small and probably not representative cohort for epidemiological analyses. For precise proportions, population-based studies are necessary and cross-ethnic datasets are needed. Second, the region annotation protocol focuses on small rectangles of regions of interest instead of whole slide images, which could miss variability within each block. However, this reduction helped to limit the amount of large sized data and led to a reasonable consumption of computational power. Third, this study focused on specific antibody clones, namely clone 42 for α-syn, clone 4G8 for Aβ, and clone AT8 for tau stainings. These antibodies are typically applied in diagnostics but are restricted to specific targets, e.g., AT8 sticks to tau with defined phosphorylation sites. Further studies are needed for other epitopes and to take other co-pathologies like TDP43 deposits into account. Finally, this analysis approached different AD neuropathological subgroups. However, the dataset exclusively represents advanced stages of AD and the α-syn subgrouping did not fully explain the heterogeneity in tau and Aβ load. As a correlative post-mortem study, causal conclusions remain speculative.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eQuantifying neuropathological deposits in Alzheimer\u0026rsquo;s disease, we found α-syn co-pathology in more than half of the cases across age groups with a tendency towards female patients and an association with the ApoE4 allele. Assigning three distinct α-syn distribution groups, the common amygdala predominant and cortical α-syn patterns were associated with an increased cortical Aβ load while tau load varied between these groups. To conclude, next to age, sex, and ApoE, the α-syn distribution pattern is associated with distinct Aβ and tau loads with potential therapeutic relevance in immunization therapies.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003e-syn\u003c/em\u003e alpha-synuclein\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003eSyn-\u003c/em\u003e alpha-synuclein deposit negative\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003eSyn+\u003c/em\u003e alpha-synuclein deposit positive\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003eSyn+A\u003c/em\u003e amygdala predominant\u0026nbsp;alpha-synuclein deposition\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003eSyn+B\u003c/em\u003e brainstem predominant\u0026nbsp;alpha-synuclein deposition\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026alpha;\u003c/em\u003e\u003cem\u003eSyn+C\u003c/em\u003e cortical\u0026nbsp;alpha-synuclein deposition\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eA\u003c/em\u003e\u003cem\u003e\u0026beta;\u003c/em\u003e Amyloid beta\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAD\u003c/em\u003e Alzheimer\u0026rsquo;s disease\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eDLB\u003c/em\u003e Dementia with Lewy bodies\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFDR\u003c/em\u003e false discovery rate\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eIQR\u003c/em\u003e interquartile range\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eCode availability\u003c/p\u003e\n\u003cp\u003eCode and segmentation models applied in this study are available from the first author upon request. The code to plot colors on brain atlas images is publicly available on GitHub (https://github.com/cor2ni/2D_brain_plot).\u003c/p\u003e\n\u003cp\u003eAcknowledgement\u003c/p\u003e\n\u003cp\u003eFirst, we deeply thank all brain donors and their families for facilitating this research. We are also very thankful to all current and former colleagues of the Neurobiobank Munich, especially Angela Obermaier, Anke J\u0026uuml;rgensonn, Dr. Thomas Arzberger, Dr. Otto Windl, Dr. Benjamin Englert and Dr. Norbert Buresch for their elaborate organization, processing, and diagnostics. We also like to thank Michael Schmidt for his help with immunohistochemistry and slide scanning.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eAN was supported by travel grants from the Alzheimer Forschung Initiative e.V. (AFI) and the framework of Munich Cluster for Systems Neurology (SyNergy). FLS is supported by the German Research Foundation (DFG, grant number STR 1537/3-1). This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u0026rsquo;s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy\u0026ndash;ID 390857198).\u003c/p\u003e\n\u003cp\u003eConflict of Interest\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest.\u003c/p\u003e\n\u003cp\u003eAuthor contributions\u003c/p\u003e\n\u003cp\u003eStudy concept and supervision: AN, PF, FLS, JH; data collection and data banking: SR, VR, JH; methodology: AN, DW, SP, PF, FLS; formal analysis: AN, SP, PF; drafting the manuscript: AN, PF, FLS, JH; revising the manuscript: AN, DW, SP, SR, VR, PF, FLS, JH.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLanct\u0026ocirc;t KL, Hahn-Pedersen JH, Eichinger CS, Freeman C, Clark A, Tarazona LRS, et al. 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Available from atlas.brain-map.org. 2025.\u003c/li\u003e\n\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","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aneu","sideBox":"Learn more about [Acta Neuropathologica](https://link.springer.com/journal/401)","snPcode":"401","submissionUrl":"https://submission.springernature.com/new-submission/401/3","title":"Acta Neuropathologica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Alzheimer’s disease, Lewy body disease, Mixed pathology, Alpha-synuclein, Immunohistochemistry, Quantitative neuropathology","lastPublishedDoi":"10.21203/rs.3.rs-7022346/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7022346/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAlpha-synuclein (α-syn) deposits are common in around half of the Alzheimer\u0026rsquo;s disease (AD) cases. While direct and indirect protein interactions are suggested, the relationships between different protein aggregates remain poorly understood. Here, we aimed to characterize α-syn, amyloid beta (Aβ), and tau load distributions of AD patients. Protein deposits were automatically quantified with random forest pixel classifiers in immunohistochemical stainings of up to 28 brain regions in 72 brains with advanced AD neuropathological change. α-syn negative cases were distinguished from amygdala predominant, brainstem predominant, and cortical α-syn positive cases. Relationships with age, sex, and ApoE genotype were examined. α-syn co-pathology was detected in 60% of AD cases, more frequently in women. Half of these positive cases presented α-syn deposits in the cortex, around one third predominantly in the amygdala, and the remaining cases primarily in the brainstem. A high α-syn load in the amygdala was associated with an increased cortical Aβ load. The cortical tau load was increased in the amygdala predominant α-syn group but decreased in the brainstem predominant and cortical α-syn cases in comparison with α-syn negative cases. ApoE4 was associated with higher hippocampal α-syn and cortical Aβ deposition. Younger age at death was associated with a focally higher Aβ and tau load. AD cases with cortical α-syn deposition tended to have a younger age at death. Here we show that next to age, sex, and ApoE genotype, the α-syn distribution in AD is related to different Aβ and tau loads. This may have therapeutic relevance for identifying patients who respond to Aβ immunotherapy related to tau burden and underpin the need to define α-syn pathology and distribution in early disease stages.\u003c/p\u003e","manuscriptTitle":"Alpha-synuclein deposition patterns in Alzheimer’s disease: association with cortical amyloid beta and variable tau load","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-14 08:34:08","doi":"10.21203/rs.3.rs-7022346/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-08-20T13:09:43+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-20T10:13:58+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"192891001580969096603760148875923229567","date":"2025-08-19T16:52:03+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-23T16:41:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"74380911067252811401375091220113347522","date":"2025-07-21T12:55:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"332093567662096197449789548705192055405","date":"2025-07-17T10:04:17+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"127086565393673916519531066579318051025","date":"2025-07-09T07:33:06+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-06T15:34:15+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-06T15:22:31+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-07-02T14:31:33+00:00","index":"","fulltext":""},{"type":"submitted","content":"Acta Neuropathologica","date":"2025-07-01T16:25:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"acta-neuropathologica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aneu","sideBox":"Learn more about [Acta Neuropathologica](https://link.springer.com/journal/401)","snPcode":"401","submissionUrl":"https://submission.springernature.com/new-submission/401/3","title":"Acta Neuropathologica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"bf613e73-8d20-4b5d-8270-717bda17a803","owner":[],"postedDate":"July 14th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-11-03T16:08:54+00:00","versionOfRecord":{"articleIdentity":"rs-7022346","link":"https://doi.org/10.1007/s00401-025-02952-w","journal":{"identity":"acta-neuropathologica","isVorOnly":false,"title":"Acta Neuropathologica"},"publishedOn":"2025-10-30 15:57:58","publishedOnDateReadable":"October 30th, 2025"},"versionCreatedAt":"2025-07-14 08:34:08","video":"","vorDoi":"10.1007/s00401-025-02952-w","vorDoiUrl":"https://doi.org/10.1007/s00401-025-02952-w","workflowStages":[]},"version":"v1","identity":"rs-7022346","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7022346","identity":"rs-7022346","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}