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Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s disease
Open accessAbstract
Alzheimer’s disease (AD) is the most prevalent form of dementia and is characterized by abnormal extracellular aggregates of amyloid-β and intraneuronal hyperphosphorylated tau tangles and neuropil threads. Microglia, the tissue-resident macrophages of the central nervous system (CNS), are important for CNS homeostasis and implicated in AD pathology. In amyloid mouse models, a phagocytic/activated microglia phenotype has been identified. How increasing levels of amyloid-β and tau pathology affect human microglia transcriptional profiles is unknown. Here, we performed snRNAseq on 482,472 nuclei from non-demented control brains and AD brains containing only amyloid-β plaques or both amyloid-β plaques and tau pathology. Within the microglia population, distinct expression profiles were identified of which two were AD pathology-associated. The phagocytic/activated AD1-microglia population abundance strongly correlated with tissue amyloid-β load and localized to amyloid-β plaques. The AD2-microglia abundance strongly correlated with tissue phospho-tau load and these microglia were more abundant in samples with overt tau pathology. This full characterization of human disease-associated microglia phenotypes provides new insights in the pathophysiological role of microglia in AD and offers new targets for microglia-state-specific therapeutic strategies.
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“a population of clusters, namely AD1, closely reassembled the mouse DAM/MGnD phenotype, it was only abundant in human samples containing Aβ and not tau”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [119]
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“Together this work demonstrates, firstly, that there exist other microglial subsets in AD besides the DAM/MGnD phenotype, and secondly, that human microglia are heterogenous, thus limiting the translation of the DAM signature from animal models.”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [119]
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“These findings were not formally published, however two recent reports suggest the presence of B cells in the brains of patients with AD [81,82].”
From Is there a role for B cells in Alzheimer's disease? (2026) · cites this paper as [82]
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“A study using singlenucleus RNA sequencing identified a cluster of lymphocytes in AD brains enriched for the expression of IL-7R and MS4A1 genes, which encode the interleukin-7 receptor and CD20 respectively, both estab lished markers of B lymphocytes [82].”
From Is there a role for B cells in Alzheimer's disease? (2026) · cites this paper as [82]
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“There was considerable overlap between the Micro_D profile and previously reported microglial states, such as the MIMS-foamy state reported in ref. 11, amyloid-associated microglia in Alzheimer’s disease43,46,47 and lipid-associated macrophages (LAMs) in obesity48 (Extended Data Fig. 8).”
From Foamy microglia link oxylipins to disease progression in multiple sclerosis (2026) · cites this paper as [46]
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“The foamy, GPNMB+ microglial phenotype in MS lesions bears striking transcriptional similarity to LAMs in obesity, amyloid-responsive microglia in Alzheimer’s disease and foam cells in atherosclerosis18,46,48,50,51.”
From Foamy microglia link oxylipins to disease progression in multiple sclerosis (2026) · cites this paper as [46]
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“single nuclei RNA sequencing on AD brains showed that out of seven cell types, gene expression changes were shown only in microglia [119]”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [119]
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“AD2 did not overlap with AD1 and was more frequently observed in human brain samples showing both tau and amyloid pathology [119]”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [119]
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“single cell nuclei extraction from frozen human brain tissue revealed 13 distinct microglial clusters [119]”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [119]
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“Moreover, distinct Aβ and tau-associated microglia signatures have been discovered in AD patients.”
From Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets (2023) · cites this paper as [15]
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Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
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
Reversed graph embedding resolves complex single-cell trajectories
Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4402 · Cited by 5,070
Buniello, A., MacArthur, J. A. L., Cerezo, M., Harris, L. W., Hayhurst, J., Malangone, C., McMahon, A., Morales, J., Mountjoy, E., Sollis, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1120 · Cited by 4,000
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343
Braak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172
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Khan, T., Hussain, A. I., Casilli, T. P., Frayser, L. A., Cho, M., Williams, G., McFall, D. J., & Forcelli, P. A. (2024) · Aging Cell · doi:10.1111/acel.14239 · Cited by 9
Microglia-Associated Neuroinflammation in Alzheimer’s Disease and Its Therapeutic Potential
Shah, S., & Jain, H. (2024) · Neuroglia · doi:10.3390/neuroglia5040029 · Cited by 10
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Atre, R., Sharma, R., Gaponenko, V., Solanki, K., Wadhonkar, K., Singh, N., Patidar, P., Khabiya, R., Samaur, H., Banerjee, S., et al. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110176 · Cited by 10
Balderrama-Gutierrez, G., Liang, H. Y., Rezaie, N., Carvalho, K., Forner, S., Matheos, D. P., Rebboah, E., Green, K. N., Tenner, A. J., LaFerla, F. M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.29.462436 · Cited by 9
Early amyloid‐induced changes in microglia gene expression in male APP / PS1 mice
Oshima, T., Kater, M. S. J., Huffels, C. F. M., Wesseling, E. M., Middeldorp, J., Hol, E. M., Verheijen, M. H. G., Smit, A. B., Boddeke, E., & Eggen, B. J. L. (2024) · Journal of Neuroscience Research · doi:10.1002/jnr.25295 · Cited by 8
Self-citationSchizophrenia-associated changes in neuronal subpopulations in the human midbrain
Alsema, A. M., Puvogel, S., Kracht, L., Webster, M. J., Weickert, C. S., Eggen, B. J. L., & Sommer, I. E. (2024) · Brain · doi:10.1093/brain/awae321 · Cited by 8
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Sil, M., Mukherjee, N., Chatterjee, I., Ghosh, A., & Goswami, A. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-025-02379-8 · Cited by 9
Retinal manifestations and their diagnostic significance in Alzheimer's disease
Abhyankar, S. D., Little, K., Stitt, A. W., & Bhatwadekar, A. D. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823251361937 · Cited by 8
Cardona, C. L., Wei, L., Kim, J., Angeles, E., Singh, G., Chen, S., Patel, R., Ifediora, N., Canoll, P., Teich, A. F., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03562-9 · Cited by 8
Zuo, Y., Liu, H., lin, L.-B., Yue, R.-Z., Liu, H., Wang, H., Wang, L., Hou, R., Liu, W., Li, C., et al. (2023) · Experimental Neurology · doi:10.1016/j.expneurol.2023.114657 · Cited by 8
Tournier, B. B., Ceyzériat, K., Badina, A. M., Gloria, Y., Fall, A. B., Amossé, Q., Tsartsalis, S., & Millet, P. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120778 · Cited by 8
Chen, L., Peng, L., Guo, X., Liu, W., Shi, Q., Zhao, M., Wang, F., Li, M., Li, C., & Zhang, Y. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823251342487 · Cited by 8
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Savonenko, A. V., Wong, P. C., & Li, T. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85654-6.00022-8 · Cited by 8
Marino, K. M., Squirrell, J. M., Chacko, J. V., Watters, J. J., Eliceiri, K. W., & Ulland, T. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.12.540407 · Cited by 8
Podlesny‐Drabiniok, A., Romero‐Molina, C., Patel, T., See, W. Y., Liu, Y., Marcora, E. M., & Goate, A. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115909 · Cited by 7
Gao, F., Initiative, A. D. N., Zhang, P., Gao, J., Song, J., & Chi, S. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220716 · Cited by 7
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Kamath, T., & Macosko, E. Z. (2023) · Movement Disorders · doi:10.1002/mds.29374 · Cited by 7
Ding, Y., Peng, Y.-Y., Li, S., Tang, C. L., Gao, J., Wang, H., Long, Z.-Y., Lu, X., & Wang, Y. (2023) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-023-01207-3 · Cited by 7
Liang, Y., Yang, Y., Jie, Z., Xu, K., Xu, H., Zhang, H., & Wu, X. G. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04296-0 · Cited by 7
Cao, J., Chen, H., Zhang, Y., Kang, Y., Zhou, S., Liao, Z., Gao, L., Yin, J., & Jing, Y. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122973 · Cited by 7
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Self-citationHoltman, I. R., Glass, C. K., & Nott, A. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-55529-9_29 · Cited by 6
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Wu, P., Zhao, X., Chen, Z., Huang, J., Dai, T., Zhou, J., Xiao, L., Chen, L., Zhao, R. C., & Wang, J. (2025) · Advanced Science · doi:10.1002/advs.202505779 · Cited by 6
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McQuade, A., Mishra, R., Hagan, V., Liang, W., Colias, P. J., Castillo, V. C., Gonzalez, B., Lubin, J. P., Haage, V. C., Marshe, V. S., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.07.001 · Cited by 7
Wang, X., Yang, M., Wang, Y., & Zhu, F. (2025) · Inflammation Research · doi:10.1007/s00011-025-02123-3 · Cited by 6
Maschio, C., Moreno, Ó., Wang, J., Maheshwari, U., Keller, A., Konietzko, U., Razansky, D., Nordberg, A. K., Rominger, A., Höck, C., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01916-2 · Cited by 9
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Blujdea, E. R., van Bokhoven, P., Adami, P. V. M., Marshe, V. S., Vromen, E., Hok‐A‐Hin, Y. S., Boiten, W. A., Irwin, D. J., Chen‐Plotkin, A. S., Lemstra, A. W., et al. (2026) · Nature Aging · doi:10.1038/s43587-026-01088-0 · Cited by 7
Zhou, M., & Pang, X. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1571563 · Cited by 6
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Wang, H., & Balice‐Gordon, R. J. (2022) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2022.846099 · Cited by 6
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Karunakaran, D. K. P., Ley, M. L., Guo, J., Khatri, A. W., Sadleir, K. R., Popović, J., Upadhyay, A. K., Savas, J. N., Procissi, D., Atwal, J. K., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00850-z · Cited by 5
Machado, L. S., Vidor, P. R., Perquim, L., Limberger, C., Machado, L., da Rocha, A. S., Soares, C., Rahmouni, N., Brum, W. S., Bellaver, B., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03160-4 · Cited by 5
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Liu, R., Deng, Q., Gong, L., & Yang, L. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01598-2 · Cited by 5
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Müller, L., Benedetto, S. D., & Müller, V. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1848642 · Cited by 5
Wang, X., Rong, Z., & Xue, F. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27115020 · Cited by 6
Zeng, X., Fan, L., Qin, Q., Zheng, D., Wang, H., Li, M., Jiang, Y., Wang, H., Liu, H., Liang, S., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.08.042 · Cited by 5
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Zhang, X., Lü, P., & Shen, X. (2022) · Clinical and Translational Discovery · doi:10.1002/ctd2.95 · Cited by 6
Ropri, A. S., Lam, T. G., Kalia, V., Buchanan, H. M., Bartosch, A. M. W., Youth, E. H. H., Xiao, H., Ross, S. K., Jain, A., Chakrabarty, J. K., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14194 · Cited by 6
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İş, Ö., Wang, X., Patel, T., Quicksall, Z., Heckman, M. G., White, L. J., Lewis‐Tuffin, L. J., Deniz, K., Tutor‐New, F. Q., Carnwath, T., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.28.474255 · Cited by 5
Zhang, G., Xia, S., Zhang, N. K., Gao, F., Zloković, B. V., Zhang, L. I., Zhao, Z., & Tao, H. W. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.07.539389 · Cited by 5
Wang, J., Pan, H., Tang, H., Zhang, J., Li, T., Liu, Y., Huang, Y., Fei, Z., & Wang, Y. (2025) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2025.119642 · Cited by 4
Kotah, J. M., Rust, T., van Weering, H. R. J., Bosma, J., Woudstra, A. L., Kooistra, S. M., & Eggen, B. J. L. (2025) · Communications Biology · doi:10.1038/s42003-025-08518-6 · Cited by 5
Self-citationA Comprehensive Review on Potential Molecular Drug Targets for the Management of Alzheimer's Disease
Sharma, C., & Mazumder, A. (2024) · Central Nervous System Agents in Medicinal Chemistry · doi:10.2174/0118715249263300231116062740 · Cited by 4
Longitudinal Neuropathological Consequences of Extracranial Radiation Therapy in Mice
Demos-Davies, K. M., Lawrence, J., Coffey, J., Morgan, A., Ferreira, C., Hoeppner, L. H., & Seelig, D. M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115731 · Cited by 4
Futácsi, A., Rusznák, K., Szarka, G., Völgyi, B., Wiborg, O., & Czéh, B. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1542229 · Cited by 4
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Godoy, J. B., Vialle, R. A., dos Santos, L., Raittz, R. T., Wang, Y., Menon, V., Jager, P. L. D., Schneider, J. A., Tasaki, S., Bennett, D. A., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03552-x · Cited by 4
Rajicic, A., Giannini, L., Gerrits, E., van Buuren, R., Melhem, S., Slotman, J. A., Rozemüller, A. J. M., Eggen, B. J. L., Swieten, J. C. V., & Seelaar, H. (2024) · Glia · doi:10.1002/glia.24663 · Cited by 3
Self-citationZhang, Q., Lo, H., Song, Y., Feng, L., You, H., Chen, X., Wang, Y., & Pan, X. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03598-8 · Cited by 4
Immune involvement in neuropsychiatric disorders: Insights from single‐cell transcriptomic studies
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Yan, X., Georgopoulou, C., Lee, H., Ahrari, A., Russ, J., Chandrasekar, V., Ducksch, T., Crispatzu, G., Talevi, V., Qiao, L., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02404-y · Cited by 3
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Lemprière, S. A. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00482-z · Cited by 3
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Chen, L., & Wang, W. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111287 · Cited by 3
Lopes, K. D. P., Vialle, R. A., Green, G., Fujita, M., Gaiteri, C., Menon, V., Schneider, J. A., Wang, Y., Jager, P. L. D., Habib, N., et al. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02143-4 · Cited by 2
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Rydbirk, R., Sørensen, F. N. F., Folke, J., Haukedal, H., Asenjo-Martínez, A., Vargas, I. L., McGarry, S., Hollmann, O. C., Gherardelli, C., Sepulveda, S. E., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-71525-6 · Cited by 2
Zou, M., Zhao, T., Wu, W., Zhang, J. Y., Pan, P., Yan, J., Li, Q., & Zhou, Y. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03946-5 · Cited by 1
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Uzuner, D., İlgün, A., Düz, E., Bozkurt, F. B., & Çakır, T. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-69188-1_9 · Cited by 2
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Guan, J., Wu, P., Liu, M., Jiang, C., Meng, X., Wu, X., Lu, M., Fan, Y., & Gan, L. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.12.022 · Cited by 3
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Prater, K. E., & Lin, K. (2024) · Glia · doi:10.1002/glia.24633 · Cited by 3
Maschio, C., Wang, J., Maheshwari, U., Keller, A., Rominger, A., Konietzko, U., Nordberg, A. K., Höck, C., Nitsch, R. M., & Ni, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.28.582443 · Cited by 2
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
Fan, G., Chen, F., Liang, M., Yang, P., Dong, H., Su, J., Wang, M., Wang, Z., Ning, P., Shen, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.17.683079 · Cited by 2
Revanna, J. S., Wessendorf-Rodriguez, K. A., Xiao, Q., Sabedot, T. S., Cuoco, M. S., Sarkar, S., Zhou-Yang, L., Lim, C. K., Prozapas, V. N., Wooldridge, R., et al. (2026) · SSRN Electronic Journal · doi:10.64898/2026.05.12.724612 · Cited by 2
iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk
Sheng, J., Ahn, J. Y., Yang, L., Wan, Z., Qi, S., Yu, X., Xu, Z., Cao, Y., Vasquez, M., Irfan, A., et al. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02691-8 · Cited by 1
Guo, H., Yang, Z., & Cheng, L. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1837643 · Cited by 2
Lee, C. H., Ko, M. S., Kim, Y.-S., Hwang, K. W., & Park, S. (2024) · Separations · doi:10.3390/separations11080243 · Cited by 1
Zhou, J., Zhong, Y., Jin, C., Dong, L., Zhou, R., Wang, Y., Fan, Z., Zheng, X., Xing, X., Wang, J., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01859-8 · Cited by 1
Mapping microglial mechanisms in Alzheimer’s disease: a comprehensive analysis
Wang, X., Guo, Y., Zha, Y., Wang, S., Yang, W., & Jia, Q. (2025) · Experimental Biology and Medicine · doi:10.3389/ebm.2025.10808 · Cited by 1
Microglial transcriptional profiles of a transgenic rat model closely model Alzheimer's disease
Finno, C. J., Ghosh, S., Rodriguez, V., Valenzuela, A. E., Andrew, P. M., Park, H. H., Grodzki, A. C., Nasim, N., Roberts, K. A., Durbin-Johnson, B., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877251410206 · Cited by 1
Precise diagnosis of Alzheimer’s disease based on sex-specific gray matter characteristics
Chen, J., Wang, K., Cao, H., Liang, Y., Lou, Y., Yang, J., Lin, X., & Tang, Y. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1755938 · Cited by 1
Decoding Alzheimer's Disease One Cell Class at a Time
Darvas, M., Cook, D. G., & Scimemi, A. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01685-y · Cited by 1
Kim, D., Kondo, T., & Inoue, H. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2026.102866 · Cited by 1
Hirota, Y., Yamamoto, J., Takatori, S., Sakakibara, Y., Takei, K., 佐治多美子, Sekiya, M., Tomita, T., & Iijima, K. (2026) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-026-00032-1 · Cited by 1
Multiscale Approximations to Understand the Complex Role of Microglia in Alzheimer's Disease
Martínez-Tazo, P., Mejias‐Ortega, M., López-López, V., Bhojwani-Cabrera, A. M., Saxton, E., Canals, S., Hardingham, G. E., Gutiérrez, A., López‐Atalaya, J. P., & Santis, S. D. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70536 · Cited by 1
Mechanisms and Therapeutic Targeting of the Gut Microbiota-Immune-Brain Axis in Alzheimer’s Disease
Wang, S., Yuan, X., Wang, T., Yang, M., Dong, P., & Han, H. (2026) · Immunological Investigations · doi:10.1080/08820139.2026.2669375 · Cited by 1
Wu, Z., Tan, Q., Xue, F., Jiang, Z., Zhao, H., Zhang, Y., Liu, Y., Zhang, Y., Ding, D., Chen, H., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02081-w · Cited by 1
Microglial state transitions are constrained by developmental and metabolic checkpoints
Mesaoudi, A. E., & Kim, D. W. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1852176 · Cited by 1
Single-Nucleus Profiling Reveals a BBB Senescence Unit Driving AD Pathology in Human Brain
Zhang, Y., Jin, Z., Rao, R., Si, L., Zhang, Z., Ma, R., Min, Y., Mei, J., Yue, Z., Fang, X., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05956-z · Cited by 1
HMC3 revealed: how much do these “Microglia” really tell us?
Buccarello, L., Privitera, A., Partsinevelos, K., Serwa, K., Carota, G., Pietro, L. D., Cardaci, V., Mangione, R., Sibbitts, J., Lazzarino, G., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1778798 · Cited by 2
Microglial CD31 suppresses Aβ clearance and promotes Alzheimer pathology in 5×FAD mice
Zhou, Q., Sun, F., Zhang, Y., Cao, X., Li, M., Yu, H., Jiang, T., Li, S., Wang, W., Xie, J., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74037-5 · Cited by 2
Human Microglial Molecular Alterations in Aging and Alzheimer’s Disease
Baldo, K. A. T., Gozlan, E., Chidebe, E. O., Awogbindin, I. O., Prieto, M. O., Dalmacio, L. M. M., Ben-Azu, B., Frenkel, D., & Tremblay, M. (2026) · Cells · doi:10.3390/cells15131159 · Cited by 1
Delaney, H. J., Islam, S., Healy, D., Oglesby, R., Konda, M., Rietman, G. M., Lynch, R., Nazmi, A., Murray, J. T., Cunningham, M. O., et al. (2026) · Brain · doi:10.1093/brain/awag147 · Cited by 2
Kotah, J. M., Trombetta-Lima, M., Dragt, E. C., Voulgaroglou, A., Brouwer, N., Holtman, I. R., Kooistra, S. M., & Eggen, B. J. L. (2026) · Glia · doi:10.1002/glia.70210 · Cited by 2
Self-citationAli, S., Ayaz, A., & Zaman, W. (2026) · Biochemical Pharmacology · doi:10.1016/j.bcp.2026.118343 · Cited by 1
Molecular programs in human locus coeruleus link APOE and neuromelanin to Alzheimer’s vulnerability
Mulvey, B., Divecha, H. R., Tippani, M., Bach, S. V., Bharadwaj, R. A., Rosario, I. D., Maguire, S. E., Miller, R. A., Salisbury, A. J., Chandra, A., et al. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03073-8 · Cited by 1
Osuna, R., & Guadalupe, D. (2012) · Americanae (AECID Library) · Cited by 1
Microglial transcriptomics meets genetics: new disease leads
Hol, E. M., & Pasterkamp, R. J. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00633-w · Cited by 2
Lucas, T. A., Novikova, G., Rao, S., Wang, Y., Laufer, B. I., Pandey, S., Webb, M. G., Jorstad, N. L., Friedman, B. A., Hanson, J. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.12.637903 · Cited by 1
Protein folding stress shapes microglial phenotype in progressive supranuclear palsyPreprint
Tanikawa, S., Kuwabara, T., Tanaka, S., & Kovács, G. G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.26.700084 · Cited by 1
Is there a role for B cells in Alzheimer's disease?
Charavner, E.-L., Fillatreau, S., & El Behi, M. (2026) · Cellular Immunology · doi:10.1016/j.cellimm.2026.105154
杨榕 (2012) · 福建艺术
Metadata
- Authors
- Gerrits, E., Brouwer, N., Kooistra, S. M., Woodbury, M. E., Vermeiren, Y., Lambourne, M., Mulder, J., Kummer, M., Möller, T., Biber, K., Dunnen, W. F. A. D., De Deyn, P. P., Eggen, B. J. L., & Boddeke, E. W. G. M.
- Affiliations
- University Medical Center Groningen (NL)
- AbbVie (United States) (US)
- Karolinska Institutet (SE)
- AbbVie (Germany) (DE)
- University of Copenhagen (DK)
- Corresponding author
- Boddeke, Erik W. G. M.
- ORCID
- Venue
- Acta Neuropathologica
- Published
- 2021-02-20
- Volume
- 141
- Issue
- 5
- Pages
- 681-696
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC8043951
- OpenAlex
- W3129453843
- Cited by
- 441
- References
- 42
- Citations by year
- 2026: 69 · 2025: 80 · 2024: 124 · 2023: 53 · 2022: 87 · 2021: 27
- FWCI
- 30.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Acta Neuropathologica (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Rijksuniversiteit Groningen
- Stichting MS Research
- Fonds Wetenschappelijk Onderzoek (12Z1620N)
- Universitair Medisch Centrum Groningen
- Vlaamse Instelling voor Technologisch Onderzoek
- Alzheimer Nederland
- Vlaamse regering
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, microglia, amyloid plaques, tau pathology, microglial activation, microglial phenotype, single-nucleus RNA sequencing, phosphorylated tau, disease-associated microglia, microglia-targeted therapy
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Humans, Male, Amyloid beta-Peptides, tau Proteins, Microglia
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.
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