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A multi-pronged human microglia response to Alzheimer’s disease Aβ pathology
Open accessAbstract
Microglial activation and neuroinflammation are initial steps in the pathogenesis of Alzheimer’s disease (AD). However, studies in mouse models and human postmortem samples have yielded divergent results regarding microglia cell states relevant to AD. Here, we investigate 127,000 single cell expression profiles of human microglia isolated freshly from a xenotransplantation model for early AD. While human microglia adopt a disease-associated (DAM) profile, they display a much more pronounced HLA-cell state related to antigen presentation in response to amyloid plaques. In parallel, a distinctive pro-inflammatory cytokine and chemokine CRM response is mounted against oligomeric amyloid-β. TREM2 and, to a lesser extent, APOE polymorphisms, modulate the response of microglia to amyloid-β plaques, in contrast with the response to oligomeric Aβ. Specific polygenic risk genes are enriched in each branch of these multi-pronged response of human microglia to amyloid pathology (ARM). ARM responses can be captured in post-mortem studies when reanalyzed in light of this novel, comprehensive data set. In conclusion, therapeutic strategies targeting microglia in AD need to carefully assess how they affect the different cell states, as the overall balance between distinct microglial profiles might determine a protective or damaging outcome.
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“We set Micro1 as the start of the pseudo-time as it most highly expressed homeostatic markers such as P2RY12 and CX3CR1. Homeostatic (Micro1) to GPNMB_EYA2/LPL_CD83 (Micro2) and CRM_CCL3 (Micro4) responses were found to be two independent activation routes mirroring the observations in a recent pre-print [47]. Micro3 branched into a third route of the trajectory (Fig. 7a).”
From Characterisation of premature cell senescence in Alzheimer's disease using single nuclear transcriptomics (2024) · cites this paper as [47]
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“we quantified the expression levels of a marker for activated/disease-associated microglia [53, 55, 98, 99] (Cd9) and a marker for homeostatic microglia [53–57, 100–105] (Cx3cr1)”
From microRNA-132 attenuates inflammation in induced pluripotent stem cell-derived microglia from Alzheimer’s disease patients (2026) · cites this paper as [53]
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“we quantified the expression levels of a marker for activated/disease-associated microglia [53, 55, 98, 99] (Cd9) and a marker for homeostatic microglia [53–57, 100–105] (Cx3cr1)”
From microRNA-132 attenuates inflammation in induced pluripotent stem cell-derived microglia from Alzheimer’s disease patients (2026) · cites this paper as [53]
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“We validated the expression profile of CD9 and CX3CR1 in DAM and homeostatic microglia in a single-cell RNA sequencing dataset derived from human iPSC-derived microglia xenotransplanted in AppNL−G−F mice [53] (Supplementary Fig. 5B).”
From microRNA-132 attenuates inflammation in induced pluripotent stem cell-derived microglia from Alzheimer’s disease patients (2026) · cites this paper as [53]
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A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493
Hafemeister, C., & Satija, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1874-1 · Cited by 4,479 · cited 1×
“We performed differential expression on the ‘SCT’ assay calculated from SCTransform(), since Pearson residuals resulting from regularized negative binomial regression effectively mitigate depth-dependent differences in differential expression, as described by Hafemeister and Satija 51 .”
MethodPerformance of neural network basecalling tools for Oxford Nanopore sequencing
Wick, R. R., Judd, L. M., & Holt, K. E. (2019) · Genome Biology · doi:10.1186/s13059-019-1727-y · Cited by 3,221
Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979
Single-cell transcriptomic analysis of Alzheimer’s disease
Mathys, H., Davila-Velderrain, J., Peng, Z., Gao, F., Mohammadi, S., Young, J. Z., Menon, M., He, L., Abdurrob, F., Jiang, X., et al. (2019) · Nature · doi:10.1038/s41586-019-1195-2 · Cited by 2,568
New insights into the genetic etiology of Alzheimer’s disease and related dementias
Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498 · cited 2×
“Finally, we extracted a list of 85 genome-wide association studies (GWAS) significant gene candidates (nearest gene to significant genetic loci, P 5 × 10 −8 ) from the most recent meta-analysis of AD complex genetics 42 .”
BackgroundMethodThe Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990
The toxic Aβ oligomer and Alzheimer's disease: an emperor in need of clothes
Benilova, I., Karran, E., & De Strooper, B. (2012) · Nature Neuroscience · doi:10.1038/nn.3028 · Cited by 1,962
Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction
Bkhetan, Z. A., & Plewczyński, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-23276-8 · Cited by 1,672
Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner
Jaitin, D. A., Adlung, L., Thaiss, C. A., Weiner, A., Li, B., Descamps, H., Lundgren, P., Bleriot, C., Liu, Z., Deczkowska, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.054 · Cited by 1,377
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Research works printed but not linked: 2
- Sala Frigerio, C. et al. The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell Rep. 27, (2019). · DOI · Paper page
- 10.1038/s41593-019-0525-x · DOI · Paper page
Cited by
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Items 101–169 of 169
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Heiss, C. N., Naylor, A. S., Pesämaa, I., Meshi, A., Cespedes-Cortes, B., Lounès, C., Taki, A., Türner-Stenström, K., Vizlin‐Hodzic, D., Zetterberg, H., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1756410 · Cited by 3
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Diaz-Salazar, C., Kim, J., Krzisch, M., Yoo, J., Nano, P. R., Bhaduri, A., Jaenisch, R., Paredes, M., & Polleux, F. (2026) · Neuron · doi:10.1016/j.neuron.2026.07.007 · Cited by 5
Perez‐Alcantara, M., Washer, S. J., Chen, Y., Steer, J., González‐Padilla, D., McWilliam, J., Willé, D. R., Panousis, N., Kolberg, P., Navarro‐Guerrero, E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.18.670767 · Cited by 3
Ngo, H. T., Kang, Y. J., Diep, Y. N., Tran, V. T. A., Kim, S., Park, S., Lee, L. P., & Cho, H. (2025) · BioChip Journal · doi:10.1007/s13206-025-00226-x · Cited by 2
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Imberechts, D., Ny, A., & Copmans, D. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1696937 · Cited by 4
Aβ plaques induce local pre-synaptic toxicity in human iPSC-derived neuron xenografts
van Vierbergen, J. F. M., Calatayud, C., Balusu, S., Carrano, N., Peredo, N., Vints, K., Gallego, S. F., Horré, K., Strooper, B. D., & Verstreken, P. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2025.102754 · Cited by 2
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Ou, Q., Dai, Z., Zhou, Y., Li, G., Liu, H., Li, J., He, C., Qin, S., & Su, Z. (2026) · Biochemical Pharmacology · doi:10.1016/j.bcp.2026.117994 · Cited by 3
Xing, J. F., Mu, K., Xue, Y., Yang, X., Zhang, D., Gao, W., Zhang, T., Yang, S., Wang, R., Zhang, W., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1843978 · Cited by 2
Glia inflammation and cell death pathways drive disease progression in preclinical and early AD
Woo, M. S., Therriault, J., Hosseini, S. A., Wang, Y.-T., Macedo, A. C., Rahmouni, N., Aumont, É., Servaes, S., Tissot, C., Arias, J. F., et al. (2025) · EMBO Molecular Medicine · doi:10.1038/s44321-025-00316-1 · Cited by 5
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Horan-Portelance, L., Acri, D. J., Mann, A., Brooks, J., Bailey, H. M., Gibbs, J. R., DeCasien, A. R., & Cookson, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.25.678630 · Cited by 3
Schneegans, E., Fancy, N., Thomas, M., Adair, E., Willumsen, N., Papageorgopoulou, M., Chau, V., Cheung, T. K. D., Muirhead, R. C. J., Whitwell, H., et al. (2024) · doi:10.1101/2024.08.27.24312641 · Cited by 2
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Chen, Y. (2026) · Targetome · doi:10.48130/targetome-0026-0004 · Cited by 1
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Self-citationDu, J. T., Chartrand, T., Jayadev, S., Prater, K. E., & Lin, K. (2026) · Journal of Computational Biology · doi:10.1177/15578666261492321 · Cited by 2
Hao, Y., Park, C. Y., Theesfeld, C. L., & Troyanskaya, O. G. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02470-2 · Cited by 1
Murphy, K. B., Hu, D., Wolfs, L., Mancuso, R., Strooper, B. D., & Marzi, S. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.03.601874 · Cited by 1
Self-citationThe Alzheimer’s therapeutic Lecanemab induces an amyloid-clearing program in microgliaPreprint
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Yang, W., Watkins, K., DeCasien, A. R., O’Neill, M. B., Bohlen, M. O., O’Day, D. R., Duran, M., Qiu, C., Meleshko, A. N., Vo, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.31.685880 · Cited by 1
Klimmt, J., Gonçalves, C. C., Montgomery, J. V., Müller, S. A., Bublitz, M., Filser, S., Paeger, L., Nuscher, B., Dannert, A., Roeber, S., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.20.699077 · Cited by 1
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Mylonas, A. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1006023
Cruz-Sesé, J., Miron-Alcala, M., Alfonso-Triguero, M., Olalde, J., Ruiz, L., Galbis-Gramage, N., Cortes, L., Escobar, L., Preman, P., Snellinx, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.28.635271
Self-citationBartesaghi, R., Chen, X., Johnstone, A. D., Das, U., & Mobley, W. C. (2025) · Springer eBooks · doi:10.1007/978-3-031-89307-0_19
Raich, L., Könken, M., Grochowska, K. M., Puig, B., Mayer, C., Hadjilaou, A., Schlemm, E., Shafiq, M., Thomalla, G., Magnus, T. U., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.27.690912
Yang, X., Jiang, J., Li, W., Pan, R., & Li, Y. (2026) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2026.100509
Konstantoulea, K., Ramakers, M., Borrie, S. C., T’Syen, D., Moechars, D., Śliwińska, M. A., Pradhan, B., Albertini, G., Baligács, N., Tsaka, G., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2516774123
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Liu, X., Citu, C., Qu, G., Liu, W., Enduru, N., Liu, A., Tung, C.-H., & Zhao, Z. (2026) · Database · doi:10.1093/database/baag017
Lee, S.-H., Kim, S., & Lee, S.-B. (2026) · Biology Direct · doi:10.1186/s13062-026-00819-y
Programmed cell death pathways in human microglia: Modeling and therapeutic targeting
Koppinen, T. K., Takacs, L., Collin, L., Mracsko, E. Z., & Keaney, J. (2026) · Glial health research. · doi:10.1016/j.ghres.2026.100015
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Seiffer, S., Rotter, J., Brendler, J., Ricken, A. M., Detzer, Z., Braune, M., Schöneberg, T., Schulz, A., Winter, K., & Bechmann, I. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03035-0
Papageorgopoulou, M., Adair, E., Fancy, N. N., Avot, B., Boulger, S. L., Wülfing, M. S., & Matthews, P. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.18.733103
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Qu, W., Li, F., Jang, M. W., Ye, P., Cordes, E., Aikedan, A., Hu, W., Nagiri, R. K., Wong, M. Y., Luo, W., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.02.736124
Vasoya, D., Keavey, L., Levit, C., Watzeels, T., Heron, S., Cholewa-Waclaw, J., Dando, O., Mancuso, R., & Bowles, K. R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.30.735652 · Cited by 1
Self-citationMicroglia in Alzheimer’s disease: Insights into disease progression and therapy
Saini, V., Mukherjee, S., Vora, C., Jindal, H., & Jha, H. C. (2026) · Advances in immunology · doi:10.1016/bs.ai.2026.06.004
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Zhao, Q., Li, S., Ju, Y., Kong, X., & Liu, X. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1791272
Goate, A., Romero‐Molina, C., Gomez‐Gutierrez, R., See, W. Y., Patel, T., Davtyan, H., Ma, J., Xu, Q. A., Sewell, M., Allton, K. L., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10216155/v1
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Wong, H. Y., Jin, C., Yuen, S. L., Yang, X., Gill, S. S., Xu, J., Lai, K. P. E., Fu, W., Gao, W., Wang, X., et al. (2026) · EMBO Molecular Medicine · doi:10.1038/s44321-026-00488-4
Quek, H., Etebar, F., Cuní‐López, C., Kutasovic, J. R., Stewart, R., Lim, Y. C., Roberts, T. L., & White, A. R. (2026) · Research Square · doi:10.21203/rs.3.rs-10477073/v1
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Naffaa, M. M. (2026) · Exploration of Immunology · doi:10.37349/ei.2026.1003261
Klimmt, J., Gonçalves, C. C., Montgomery, J. V., Müller, S. A., Bublitz, M., Filser, S., Paeger, L., Nuscher, B., Dannert, A., Roeber, S., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02367-0 · Cited by 2
Amalina, T. N., Alsagaff, H., Sofa, S. L., Shofiyah, S., Sunaryo, B. F., Lova, K., Zakky, A., Febrianto, H., & Azis, R. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-12587-z
Xu, L., Zhang, Y., Jiang, L., Xing, J. F., Hu, J., Lan, T., & Ta, G. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1902577
The neuroscience of Alzheimer’s disease
Spires‐Jones, T. L. (2026) · Oxford University Press eBooks · doi:10.1093/9780198995296.003.0003
Liu, Y., Yu, H., Zhang, J., Li, X., Ma, Y., Guang, C., Mu, W., Chen, H., & Hou, H. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1901868
Arif, S., Luo, Q., Hao, X., Zheng, R., Sun, N., Quan, Z., Ni, J., Qiu, Y., & Qing, H. (2026) · Research Square · doi:10.21203/rs.3.rs-10721231/v1
Xue, F., Bao, L., He, A., & Liang, S. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1831375
Yang, Y., Dai, C., Xu, Z., Zhuo, L., Xiang, K., Lin, X., Sun, J., Liu, J., & Tong, Q. (2026) · Neurotherapeutics · doi:10.1016/j.neurot.2026.e01069
Zhang, Y., Zhang, A., Seo, S., Fredrickson, C., Jung, M., Shan, X., Phu, L., Cramer, A. L., Sánchez-Priego, C., Kulkarni, V. V., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.07.749934 · Cited by 1
Ikezu, T., You, Y., Nguyen, S. H., Mann, S., Vadakattu, P., Kanekiyo, T., Zhang, Z., Ray, N. B., Tuck, T., Julia, T. C. W., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8594804/v1
Jeong, H., Kang, Y., Jeong, S., Yoo, J. M., Choi, Y. S., Kwon, S. H., Hwang, H., Nahm, M., & Kim, D. (2026) · Nanomaterials · doi:10.3390/nano16181158
Lin, D., Atkinson, J. R., Wu, W., Chen, M., Jayasekara, S., Segal, B. M., Ma, A., & Gao, J. (2026) · doi:10.64898/2026.09.16.752098
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Martínez‐Muriana, A., Fattorelli, N., Wolfs, L., Jutz, L., Pasciuto, E., Denton, H., van Hoek, M., Premereur, J., Zen, G., Bijnens, B., et al. (2026) · Developmental Cell · doi:10.1016/j.devcel.2026.09.005
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Gogu, M.-R., Costăchescu, I., Stanciu, G. D., Tamba, B.-I., Ciorpac, M., & Gorgan, L. (2026) · Pharmaceuticals · doi:10.3390/ph19101603
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Simmonds, E., McKeever, A., Yaman, Ü., Leonenko, G., Kimatova, K., Taylor, P. R., Chandran, S., Ryten, M., Khakh, B., O'Brien, J. T., et al. (2026) · medRxiv · doi:10.64898/2026.10.08.26365054
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Naffaa, M. M. (2026) · Exploratory Research and Hypothesis in Medicine · doi:10.14218/erhm.2026.00045
da Cruz, R. S., Lopes, L. S., Pachiega, A. N. S., Colombari, D. S. A., Colombari, E., Zoccal, D. B., & Katayama, P. L. (2026) · Inflammation Research · doi:10.1007/s00011-026-02401-8
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Self-citationZhou, S., Chen, Y., Yang, X., Xiang, L., Li, B., Qiu, L., Liu, Z., Zhang, T., Liu, F., Zeng, L., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1998588
Metadata
- Authors
- Mancuso, R., Fattorelli, N., Martinez-Muriana, A., Davis, E., Wolfs, L., Van Den Daele, J., Geric, I., Preman, P., Serneels, L., Poovathingal, S., Balusu, S., Verfaille, C., Fiers, M., & De Strooper, B.
- Affiliations
- University of Antwerp (BE)
- Vlaams Instituut voor Biotechnologie (BE)
- UK Dementia Research Institute (GB)
- Corresponding author
- Mancuso, Renzo
- ORCID
- Venue
- Nature Neuroscience
- Publisher
- openRxiv
- Published
- 2022-07-07
- Volume
- 27
- Issue
- 5
- Pages
- 886-900
- ISSN
- 1097-6256 (ISSN-L)
- PMC
- PMC11089003
- OpenAlex
- W4393225316
- Cited by
- 169
- References
- 67
- Citations by year
- 2026: 76 · 2025: 57 · 2024: 30 · 2023: 3 · 2022: 3
- FWCI
- 25.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Nature Neuroscience (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion, cc-by)
- Lirias (submittedVersion, cc-by)
- Funders
- Alzheimer's Association (AARF-20-684397)
- BrightFocus Foundation (A2021034S)
- UK Research and Innovation (MR/Y014847/1)
- Alzheimer's Society
- Queen Elisabeth Medical Foundation
- European Commission (HORIZON2020, ERC-834682 CELLPHASE_AD, 834682, 2022-2025)
- Fonds Wetenschappelijk Onderzoek (G0C9219N, G0K9422N, 1122423N, 12ZX621N, 1139520N, G056022N, S001221N)
- KU Leuven
- Vlaams Instituut voor Biotechnologie
- Universiteit Antwerpen (FFB210307)
- Vlaamse regering
- UK Dementia Research Institute
- Fondation pour la Recherche sur Alzheimer
- Fondation Médicale Reine Elisabeth
- Horizon 2020 Framework Programme
- Medical Research Council (MR/Y014847/1)
- H2020 Marie Skłodowska-Curie Actions (HORIZON2020)
- HORIZON EUROPE European Research Council (101041867)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- microglia, Alzheimer's disease, amyloid-beta, xenotransplantation, single-cell transcriptomics, disease-associated microglia, HLA, antigen presentation, amyloid plaques, TREM2, apolipoprotein E, inflammatory cytokines, chemokines, amyloid-beta oligomers
- MeSH terms
- Alzheimer Disease, Animals, Apolipoproteins E, Brain, Humans, Membrane Glycoproteins, Mice, Transgenic, Receptors, Immunologic, Amyloid beta-Peptides, Microglia, Mice, Plaque, Amyloid, Transcriptome, Heterografts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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