APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease
Open accessAbstract
Beta-amyloid deposition is a defining feature of Alzheimer's disease (AD). How genetic risk factors, like APOE and TREM2, intersect with cellular responses to beta-amyloid in human tissues is not fully understood. Using single-nucleus RNA sequencing of postmortem human brain with varied APOE and TREM2 genotypes and neuropathology, we identified distinct microglia subpopulations, including a subpopulation of CD163-positive amyloid-responsive microglia (ARM) that are depleted in cases with APOE and TREM2 risk variants. We validated our single-nucleus RNA sequencing findings in an expanded cohort of AD cases, demonstrating that APOE and TREM2 risk variants are associated with a significant reduction in CD163-positive amyloid-responsive microglia. Our results showcase the diverse microglial response in AD and underscore how genetic risk factors influence cellular responses to underlying pathologies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
MG-M4 possibly represents an alternative microglial activation module.
“The trajectory of MG-M4, containing CD163 as a hub gene, was consistent with that of DAM-like module MG-M1, and was enriched for processes including phagocytosis, myeloid cell differentiation, and neutrophil activation (Figure 6D); therefore, it is possible that MG-M4 represents an alternative microglial activation module.55”
From hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data (2023) · cites this paper as [55]
The trajectory of MG-M4 was consistent with that of DAM-like module MG-M1.
“The trajectory of MG-M4, containing CD163 as a hub gene, was consistent with that of DAM-like module MG-M1, and was enriched for processes including phagocytosis, myeloid cell differentiation, and neutrophil activation (Figure 6D); therefore, it is possible that MG-M4 represents an alternative microglial activation module.55”
From hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data (2023) · cites this paper as [55]
The Results section on branched microglial transcriptional trajectory describes homeostatic microglia diverging into motile microglia or amyloid-responsive microglia (ARM). Our copy does not identify MG-M4 or MG-M1 or compare their trajectories; searches for those module names and for CD163/DAM-related trajectories did not establish the claimed consistency. (LLM, conf=0.76)
Experimental — accuracy not yet measuredMG-M4 was enriched for processes including phagocytosis, myeloid cell differentiation, and neutrophil activation.
“The trajectory of MG-M4, containing CD163 as a hub gene, was consistent with that of DAM-like module MG-M1, and was enriched for processes including phagocytosis, myeloid cell differentiation, and neutrophil activation (Figure 6D); therefore, it is possible that MG-M4 represents an alternative microglial activation module.55”
From hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data (2023) · cites this paper as [55]
The Results section on microglial subpopulations identifies CD163 as highly upregulated in amyloid-responsive microglia and reports enrichment for stress responses and immune regulation. Our copy does not identify MG-M4 or report its enrichment for phagocytosis, myeloid cell differentiation, or neutrophil activation (searched for MG-M4 and those processes). The sentence attributes the MG-M4 enrichment to its own Figure 6D, so this source cannot verify that specific claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424 · see citing works
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864 · see citing works
Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220 · see citing works
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359 · see citing works
Polazzi, E., Mengoni, I., Caprini, M., Peña‐Altamira, E., Kurtys, E., & Monti, B. (2012) · Neurosignals · doi:10.1159/000337115 · Cited by 9,023 · see citing works
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908 · see citing works
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881 · see citing works
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314 · see citing works
Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31678-6 · Cited by 7,253 · see citing works
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 · see citing works
Glenner, G. G., & Wong, C. W. (1984) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(84)80190-4 · Cited by 5,404 · see citing works
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490 · see citing works
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397 · see citing works
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works
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 · see citing works
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490 · see citing works
<i>TREM2</i> Variants in Alzheimer's Disease
Guerreiro, R., Wojtas, A., Bras, J., Carrasquillo, M., Rogaeva, E., Majounie, E., Cruchaga, C., Sassi, C., Kauwe, J. S. K., Younkin, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211851 · Cited by 3,020 · see citing works
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 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098679 · Cited by 2,909 · see citing works
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 · see citing works
Variant of <i>TREM2</i> Associated with the Risk of Alzheimer's Disease
Jonsson, T., Stefansson, H., Steinberg, S., Jonsdottir, I., Jonsson, P. V., Snaedal, J., Bjornsson, S., Huttenlocher, J., Levey, A. I., Lah, J. J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211103 · Cited by 2,558 · see citing works
Single-cell mRNA quantification and differential analysis with Census
Qiu, X., Hill, A. J., Packer, J. S., Lin, D., Ma, Y.-A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4150 · Cited by 1,885 · see citing works
Identification of the haemoglobin scavenger receptor
Kristiansen, M., Graversen, J. H., Jacobsen, C., Sonne, O., Hoffman, H.-J., Law, S. K. A., & Moestrup, S. K. (2001) · Nature · doi:10.1038/35051594 · Cited by 1,712 · see citing works
CNS synaptogenesis promoted by glia-derived cholesterol
Mauch, D. H., Nägler, K., Schumacher, S., Göritz, C., Müller, E.-C., Otto, A., & Pfrieger, F. W. (2001) · Science · doi:10.1126/science.294.5545.1354 · Cited by 1,711 · see citing works
Wolf, F. A., Hamey, F. K., Plass, M., Solana, J., Dahlin, J. S., Göttgens, B., Rajewsky, N., Simon, L., & Theis, F. J. (2019) · Genome Biology · doi:10.1186/s13059-019-1663-x · Cited by 1,698 · see citing works
The role of apolipoprotein E in Alzheimer's disease
Kim, J., Basak, J. M., & Holtzman, D. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.026 · Cited by 1,661 · see citing works
Mi, H., Muruganujan, A., Huang, X., Ebert, D., Mills, C., Guo, X., & Thomas, P. D. (2019) · Nature Protocols · doi:10.1038/s41596-019-0128-8 · Cited by 1,471 · see citing works
Zhou, Y., Song, W. M., Andhey, P. S., Swain, A., Levy, T., Miller, K. R., Poliani, P. L., Cominelli, M., Grover, S., Gilfillan, S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-019-0695-9 · Cited by 1,150 · see citing works
ARUK Consortium, Sims, R., GERAD/PERADES, C., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3916 · Cited by 1,126 · see citing works
Self-citationSala Frigerio, C., Wolfs, L., Fattorelli, N., Thrupp, N., Voytyuk, I., Schmidt, I., Mancuso, R., Chen, W.-T., Woodbury, M. E., Srivastava, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.099 · Cited by 926 · see citing works
Mahley, R. W., Weisgraber, K. H., & Huang, Y. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600549103 · Cited by 912 · see citing works
Innate immunity in Alzheimer's disease
Heneka, M. T., Golenbock, D. T., & Latz, E. (2015) · Nature Immunology · doi:10.1038/ni.3102 · Cited by 902 · see citing works
Altered human oligodendrocyte heterogeneity in multiple sclerosis
Jäkel, S., Agirre, E., Mendanha Falcão, A., van Bruggen, D., Lee, K. W., Knuesel, I., Malhotra, D., ffrench-Constant, C., Williams, A., & Castelo-Branco, G. (2019) · Nature · doi:10.1038/s41586-019-0903-2 · Cited by 854 · see citing works
Apolipoprotein E: from cardiovascular disease to neurodegenerative disorders
Mahley, R. W. (2016) · Journal of Molecular Medicine · doi:10.1007/s00109-016-1427-y · Cited by 837 · see citing works
TREM2 mutations implicated in neurodegeneration impair cell surface transport and phagocytosis
Kleinberger, G., Yamanishi, Y., Suárez-Calvet, M., Czirr, E., Lohmann, E., Cuyvers, E., Struyfs, H., Pettkus, N., Wenninger-Weinzierl, A., Mazaheri, F., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009093 · Cited by 798 · see citing works
TREM2 Is a Receptor for β-Amyloid that Mediates Microglial Function
Zhao, Y., Wu, X., Li, X., Jiang, L.-L., Gui, X., Liu, Y., Sun, Y., Zhu, B., Piña-Crespo, J. C., Zhang, M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.031 · Cited by 763 · see citing works
Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques
Condello, C., Yuan, P., Schain, A., & Grutzendler, J. (2015) · Nature Communications · doi:10.1038/ncomms7176 · Cited by 718 · see citing works
Dystrophic microglia in the aging human brain
Streit, W. J., Sammons, N. W., Kuhns, A. J., & Sparks, D. L. (2004) · Glia · doi:10.1002/glia.10319 · Cited by 705 · see citing works
Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis
Neu, S. C., Pa, J., Kukull, W., Beekly, D., Kuzma, A., Gangadharan, P., Wang, L.-S., Romero, K., Arneric, S. P., Redolfi, A., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2188 · Cited by 674 · see citing works
Mehta, D. G., Jackson, R., Paul, G., Shi, J., & Sabbagh, M. N. (2017) · Expert Opinion on Investigational Drugs · doi:10.1080/13543784.2017.1323868 · Cited by 603 · see citing works
Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease
Gjoneska, E., Pfenning, A. R., Mathys, H., Quon, G., Kundaje, A., Tsai, L.-H., & Kellis, M. (2015) · Nature · doi:10.1038/nature14252 · Cited by 576 · see citing works
Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · see citing works
A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
Matteson, D. S., & James, N. A. (2013) · Journal of the American Statistical Association · doi:10.1080/01621459.2013.849605 · Cited by 554 · see citing works
Microglial subtypes: diversity within the microglial community
Stratoulias, V., Venero, J. L., Tremblay, M., & Joseph, B. (2019) · The EMBO Journal · doi:10.15252/embj.2019101997 · Cited by 536 · see citing works
A transcriptomic atlas of aged human microglia
Olah, M., Patrick, E., Villani, A.-C., Xu, J., White, C. C., Ryan, K. J., Piehowski, P., Kapasi, A., Nejad, P., Cimpean, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-02926-5 · Cited by 482 · see citing works
Cholesterol homeostasis and function in neurons of the central nervous system
Pfrieger, F. W. (2003) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-003-3018-7 · Cited by 453 · see citing works
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
Li, X., Wang, K., Lyu, Y., Pan, H., Zhang, J., Stambolian, D. E., Suszták, K., Reilly, M. P., Hu, G., & Li, M. (2020) · Nature Communications · doi:10.1038/s41467-020-15851-3 · Cited by 408 · see citing works
Self-citationMetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
Baran, Y., Bercovich, A., Sebé-Pedrós, A., Lubling, Y., Giladi, A., Chomsky, E., Meir, Z., Hoichman, M., Lifshitz, A., & Tanay, A. (2019) · Genome biology · doi:10.1186/s13059-019-1812-2 · Cited by 387 · see citing works
ApoE facilitates the microglial response to amyloid plaque pathology
Ulrich, J. D., Ulland, T. K., Mahan, T. E., Nyström, S., Nilsson, K. P., Song, W. M., Zhou, Y., Reinartz, M., Choi, S., Jiang, H., et al. (2018) · Journal of Experimental Medicine · doi:10.1084/jem.20171265 · Cited by 297 · see citing works
The <i>MS4A</i> gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk
Deming, Y., Filipello, F., Cignarella, F., Cantoni, C., Hsu, S., Mikesell, R., Li, Z., Del-Aguila, J. L., Dube, U., Farias, F. G., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau2291 · Cited by 271 · see citing works
Synapse loss in the temporal lobe in Alzheimer's disease
Scheff, S. W., & PRICE, D. A. (1993) · Annals of Neurology · doi:10.1002/ana.410330209 · Cited by 263 · see citing works
Sarrias, M., Grønlund, J., Padilla, O., Madsen, J., Holmskov, U., & Lozano, F. (2004) · Critical Reviews in Immunology · doi:10.1615/critrevimmunol.v24.i1.10 · Cited by 263 · see citing works
Lopes, K. O., Sparks, D. L., & Streit, W. J. (2008) · Glia · doi:10.1002/glia.20678 · Cited by 262 · see citing works
Toledo, J. B., Van Deerlin, V. M., Lee, E. B., Suh, E., Baek, Y., Robinson, J. L., Xie, S. X., McBride, J., Wood, E. M., Schuck, T., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.06.003 · Cited by 234 · see citing works
Self-citationCien Años de Microglía: Milestones in a Century of Microglial Research
Sierra, A., Paolicelli, R. C., & Kettenmann, H. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.09.004 · Cited by 229 · see citing works
Alzheimer’s Risk Factors Age, APOE Genotype, and Sex Drive Distinct Molecular Pathways
Zhao, N., Ren, Y., Yamazaki, Y., Qiao, W., Li, F., Felton, L. M., Mahmoudiandehkordi, S., Kueider-Paisley, A., Sonoustoun, B., Arnold, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.034 · Cited by 225 · see citing works
Bover, L. C., Cardó‐Vila, M., Kuniyasu, A., Sun, J. D., Rangel, R., Takeya, M., Aggarwal, B. B., Arap, W., & Pasqualini, R. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.178.12.8183 · Cited by 216 · see citing works
Cell-specific network constructed by single-cell RNA sequencing data
Dai, H., Li, L., Zeng, T., & Chen, L. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz172 · Cited by 181 · see citing works
Lue, L., Schmitz, C. T., Serrano, G., Sue, L. I., Beach, T. G., & Walker, D. G. (2015) · Brain Pathology · doi:10.1111/bpa.12190 · Cited by 154 · see citing works
Global spectral clustering in dynamic networks
Liu, F., Choi, D. S., Xie, L., & Roeder, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718449115 · Cited by 142 · see citing works
Self-citationGrehan, S., Tse, E., & Taylor, J. M. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-03-00812.2001 · Cited by 138 · see citing works
Qin, S., Colin, C., Hinners, I., Gervais, A., Cheret, C., & Mallat, M. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5186-05.2006 · Cited by 135 · see citing works
Rangaraju, S., Dammer, E. B., Raza, S. A., Gao, T., Xiao, H., Betarbet, R. S., Duong, D. M., Webster, J. A., Hales, C. M., Lah, J. J., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0266-4 · Cited by 133 · see citing works
ApoE immunoreactivity and microglial cells in Alzheimer’s disease brain
Uchihara, T., Duyckaerts, C., He, Y., Kobayashi, K., Seilhean, D., Amouyel, P., & Hauw, J.-J. (1995) · Neuroscience Letters · doi:10.1016/0304-3940(95)11763-m · Cited by 131 · see citing works
Pey, P., Pearce, R. K., Kalaitzakis, M. E., Griffin, W. S. T., & Gentleman, S. M. (2014) · Acta Neuropathologica Communications · doi:10.1186/2051-5960-2-21 · Cited by 128 · see citing works
Prokop, S., Miller, K. R., Labra, S. R., Pitkin, R. M., Hoxha, K., Narasimhan, S., Changolkar, L., Rosenbloom, A., Lee, V. M.-Y., & Trojanowski, J. Q. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-02048-2 · Cited by 119 · see citing works
The intrathecal CD163‐haptoglobin–hemoglobin scavenging system in subarachnoid hemorrhage
Galea, J. P., Cruickshank, G. S., Teeling, J. L., Boche, D., Garland, P., Perry, V. H., & Galea, I. (2012) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2012.07716.x · Cited by 110 · see citing works
Microglial microRNAs mediate sex-specific responses to tau pathology
Kodama, L., Guzman, E., Etchegaray, J. I., Li, Y., Sayed, F. A., Zhou, L., Zhou, Y., Zhan, L., Le, D., Udeochu, J. C., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0560-7 · Cited by 109 · see citing works
CD163 Identifies a Unique Population of Ramified Microglia in HIV Encephalitis (HIVE)
Roberts, E. S., Masliah, E., & Fox, H. S. (2004) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/63.12.1255 · Cited by 100 · see citing works
Saura, J., Petegnief, V., Wu, X., Liang, Y., & Paul, S. M. (2003) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2003.01788.x · Cited by 83 · see citing works
Osteopontin: Correlation with phagocytosis by brain macrophages in a rat model of stroke
Shin, Y., Kim, H. L., Choi, J.-S., Choi, J.-Y., Cha, J., & Lee, M.-Y. (2011) · Glia · doi:10.1002/glia.21110 · Cited by 72 · see citing works
Kneidl, J., Löffler, B., Erat, M. C., Kalinka, J., Peters, G., Roth, J., & Barczyk, K. (2012) · Cellular Microbiology · doi:10.1111/j.1462-5822.2012.01766.x · Cited by 64 · see citing works
The Effect of Osteopontin on Microglia
Yu, H., Liu, X., & Zhong, Y. (2017) · BioMed Research International · doi:10.1155/2017/1879437 · Cited by 62 · see citing works
Homeostasis: A scavenger receptor for haemoglobin
Gordon, S. (2001) · Current Biology · doi:10.1016/s0960-9822(01)00218-4 · Cited by 28 · see citing works
l-Serine-mediated release of apolipoprotein E and lipids from microglial cells
Mori, K., Yokoyama, A., Yang, L., Yang, L., Maeda, N., Mitsuda, N., & Tanaka, J. (2004) · Experimental Neurology · doi:10.1016/j.expneurol.2003.10.010 · Cited by 23 · see citing works
Alzheimerの危険因子年齢,APOE遺伝子型および性は異なる分子経路を駆動する【JST・京大機械翻訳】
Zhao, N., Ren, Y., Yu, Y., Wenhui, Q., Fuyao, L., Lindsey, M. F., MahmoudianDehkordi, S., Kueider‐Paisley, A., Sonoustoun, B., Matthias, A. S., et al. (2020) · Neuron · Cited by 21 · see citing works
Polazzi, E., Mengoni, I., Peña‐Altamira, E., Massenzio, F., Virgili, M., Petralla, S., & Monti, B. (2015) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0000000000000222 · Cited by 15 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [40]Kristiansen M,, Identification of the haemoglobin scavenger receptor. Nature, 2001 409(6817): p. 198– 201. 11196644
Cited by
Sorted by citations
Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
Gao, C., Jiang, J., Tan, Y., & Chen, S. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01588-0 · Cited by 1,616 · see citing works
hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data
Morabito, S., Reese, F., Rahimzadeh, N., Miyoshi, E., & Swarup, V. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100498 · Cited by 773 · see citing works
ApoE in Alzheimer’s disease: pathophysiology and therapeutic strategies
Raulin, A.-C., Doss, S. V., Trottier, Z. A., Ikezu, T. C., Bu, G., & Liu, C.-C. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00574-4 · Cited by 756 · see citing works
Tissue-specific macrophages: how they develop and choreograph tissue biology
Mass, E., Nimmerjahn, F., Kierdorf, K., & Schlitzer, A. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-023-00848-y · Cited by 621 · see citing works
Microglia in Neuroinflammation and Neurodegeneration: From Understanding to Therapy
Muzio, L., Viotti, A., & Martino, G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.742065 · Cited by 581 · see citing works
Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s disease
Gerrits, E., Brouwer, N., Kooistra, S. M., Woodbury, M. E., Vermeiren, Y., Lambourne, M., Mulder, J., Kummer, M., Möller, T., Biber, K., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02263-w · Cited by 441 · see citing works
Colonna, M. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-023-00837-1 · Cited by 394 · see citing works
Microglia in Alzheimer's disease at single-cell level. Are there common patterns in humans and mice?
Chen, Y., & Colonna, M. (2021) · Journal of Experimental Medicine · doi:10.1084/jem.20202717 · Cited by 339 · see citing works
Fernández-Calle, R., Konings, S. C., Frontiñán-Rubio, J., García-Revilla, J., Camprubí-Ferrer, L., Svensson, M., Martinson, I., Boza-Serrano, A., Venero, J. L., Nielsen, H. M., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00566-4 · Cited by 278 · see citing works
Lee, S., Devanney, N. A., Golden, L. R., Smith, C. T., Schwartz, J. L., Walsh, A. E., Clarke, H. A., Goulding, D. S., Allenger, E. J., Morillo-Segovia, G., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112196 · Cited by 203 · see citing works
Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology
Smith, A. M., Davey, K., Tsartsalis, S., Khozoie, C., Fancy, N., Tang, S. S., Liaptsi, E., Weinert, M., McGarry, A., Muirhead, R. C. J., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02372-6 · Cited by 209 · see citing works
“Our analytical approach for addressing heterogeneity in the samples also differs from most prior studies (although it is not without similar precedents [7, 41]).”
BackgroundResultAutophagy enables microglia to engage amyloid plaques and prevents microglial senescence
Choi, I., Wang, M., Yoo, S., Xu, P., Seegobin, S. P., Li, X., Han, X., Wang, Q., Peng, J., Zhang, B., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01158-0 · Cited by 202 · see citing works
TREM2 dependent and independent functions of microglia in Alzheimer’s disease
Hou, J., Chen, Y., Grajales-Reyes, G., & Colonna, M. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00588-y · Cited by 191 · see citing works
Iron loading is a prominent feature of activated microglia in Alzheimer’s disease patients
Kenkhuis, B., Somarakis, A., de Haan, L., Dzyubachyk, O., IJsselsteijn, M. E., de Miranda, N. F. C. C., Lelieveldt, B. P. F., Dijkstra, J., van Roon-Mom, W. M. C., Höllt, T., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01126-5 · Cited by 184 · see citing works
Lau, V. Z., Ramer, L. M., & Tremblay, M. (2023) · Nature Communications · doi:10.1038/s41467-023-37304-3 · Cited by 168 · see citing works
Human Microglia Show Unique Transcriptional Changes in Alzheimer's Disease
Prater, K. E., Green, K. J., Mamde, S., Sun, W., Cochoit, A., Smith, C. L., Chiou, K. L., Heath, L., Rose, S. E., Wiley, J., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00424-y · Cited by 164 · see citing works
Liu, C.-C., Wang, N., Chen, Y., Inoue, Y., Shue, F., Ren, Y., Wang, M., Qiao, W., Ikezu, T. C., Li, Z., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01640-9 · Cited by 146 · see citing works
Neurodegenerative Disease Tauopathies
Creekmore, B. C., Watanabe, R., & Lee, E. B. (2023) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-051222-120750 · Cited by 144 · see citing works
Self-citationMicroglial mechanisms drive amyloid-β clearance in immunized patients with Alzheimer’s disease
van Olst, L., Simonton, B., Edwards, A. J., Forsyth, A. V., Boles, J. S., Jamshidi, P., Watson, T. H., Shepard, N., Krainc, T., Argue, B. M., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03574-1 · Cited by 146 · see citing works
Self-citationReactive astrogliosis: A friend or foe in the pathogenesis of Alzheimer’s disease
Kumar, A., Fontana, I. C., & Nordberg, A. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15565 · Cited by 150 · see citing works
Microglia in Alzheimer’s Disease: A Target for Therapeutic Intervention
Zhang, G., Wang, Z., Hu, H., Zhao, M., & Sun, L. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.749587 · Cited by 132 · see citing works
Fitz, N. F., Nam, K. N., Wolfe, C. M., Letronne, F., Playso, B. E., Iordanova, B. E., Kozai, T. D. Y., Biedrzycki, R. J., Kagan, V. E., Tyurina, Y. Y., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23762-0 · Cited by 129 · see citing works
TREM2: Potential therapeutic targeting of microglia for Alzheimer's disease
Li, Y., Xu, H., Wang, H., Yang, K., Luan, J., & Wang, S. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115218 · Cited by 128 · see citing works
Puntambekar, S. S., Moutinho, M., Lin, P. B.-C., Jadhav, V., Tumbleson-Brink, D., Balaji, A., Benito, M. A., Xu, G., Oblak, A., Lasagna-Reeves, C. A., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00545-9 · Cited by 113 · see citing works
Decoding microglial immunometabolism: a new frontier in Alzheimer's disease research
Jung, E. S., Choi, H., & Mook-Jung, I. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00825-0 · Cited by 124 · see citing works
TREM2-independent microgliosis promotes tau-mediated neurodegeneration in the presence of ApoE4.
Gratuze, M., Schlachetzki, J. C. M., D’Oliveira Albanus, R., Jain, N., Novotny, B., Brase, L., Rodriguez, L., Mansel, C., Kipnis, M., O’Brien, S., et al. (2023) · Neuron · doi:10.1016/j.neuron.2022.10.022 · Cited by 115 · see citing works
Taubes, A., Nova, P., Zalocusky, K. A., Kosti, I., Bicak, M., Zilberter, M. Y., Hao, Y., Yoon, S. Y., Oskotsky, T., Pineda, S., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00122-7 · Cited by 118 · see citing works
Wang, M., Song, W., Chen, M., Wang, Q., Zhou, X., Xu, P., Krek, A., Yoon, Y., Ho, L., Orr, M. E., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00517-z · Cited by 100 · see citing works
Long, H.-Z., Zhou, Z.-W., Cheng, Y., Luo, H.-Y., Li, F.-J., Xu, S., & Gao, L.-C. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.888989 · Cited by 94 · see citing works
Xin, Y., Tian, M., Deng, S., Li, J., Yang, M., Gao, J., Pei, X., Wang, Y., Tan, J., Zhao, F., et al. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03148-z · Cited by 99 · see citing works
Apolipoprotein E in Alzheimer’s disease: molecular insights and therapeutic opportunities
Belaidi, A. A., Bush, A. I., & Ayton, S. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00843-y · Cited by 91 · see citing works
What are activated and reactive glia and what is their role in neurodegeneration?
Bennett, M. L., & Viaene, A. N. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105172 · Cited by 77 · see citing works
AmeliMojarad, M., & AmeliMojarad, M. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14856 · Cited by 73 · see citing works
Human Alzheimer’s disease reactive astrocytes exhibit a loss of homeostastic gene expression
Dai, D. L., Li, M., & Lee, E. B. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01624-8 · Cited by 77 · see citing works
Self-citationLiu, X., Liu, Y., Liu, J., Zhang, H., Shan, C., Guo, Y., Gong, X., Cui, M., Li, X., & Tang, M. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.382223 · Cited by 69 · see citing works
scAMZI: attention-based deep autoencoder with zero-inflated layer for clustering scRNA-seq data
Yuan, L., Xu, Z., Meng, B., & Ye, L. (2025) · BMC Genomics · doi:10.1186/s12864-025-11511-2 · Cited by 69 · see citing works
Muñoz-Castro, C., Mejias-Ortega, M., Sanchez-Mejias, E., Navarro, V., Trujillo-Estrada, L., Jimenez, S., Garcia-Leon, J. A., Fernandez-Valenzuela, J. J., Sanchez-Mico, M. V., Romero-Molina, C., et al. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01530-z · Cited by 66 · see citing works
Microglia Heterogeneity in Alzheimer’s Disease: Insights From Single-Cell Technologies
Wang, H. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.773590 · Cited by 61 · see citing works
Tuddenham, J. F., Taga, M. F., Haage, V. C., Marshe, V. S., Roostaei, T., White, C. C., Lee, A., Fujita, M., Khairallah, A., Zhang, Y., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01764-7 · Cited by 78 · see citing works
Patel, T., Carnwath, T., Wang, X., Allen, M., Lincoln, S., Lewis‐Tuffin, L. J., Quicksall, Z., Lin, S., Tutor‐New, F. Q., Ho, C. C. G., et al. (2022) · Aging Cell · doi:10.1111/acel.13606 · Cited by 60 · see citing works
Self-citationLeveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
Zhang, Q., Jiang, S., Schroeder, A. R., Hu, J., Li, K., Zhang, B., Dai, D., Lee, E. B., Xiao, R., & Li, M. (2023) · Nature Communications · doi:10.1038/s41467-023-39895-3 · Cited by 56 · see citing works
Self-citationMicroglia and immunotherapy in Alzheimer’s disease
Li, Q., Wu, Y., Chen, J., Xuan, A., & Wang, X. (2021) · Acta Neurologica Scandinavica · doi:10.1111/ane.13551 · Cited by 49 · see citing works
Self-citationKuntić, M., Hahad, O., Münzel, T. F., & Daiber, A. (2024) · Antioxidants · doi:10.3390/antiox13030266 · Cited by 50 · see citing works
APOE genotype determines cell-type-specific pathological landscape of Alzheimer’s disease
Li, Z., Martens, Y. A., Ren, Y., Jin, Y., Sekiya, H., Doss, S. V., Kouri, N., Castanedes-Casey, M., Christensen, T. A., Miller Nevalainen, L. B., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.017 · Cited by 39 · see citing works
The Functions and Phenotypes of Microglia in Alzheimer’s Disease
Fujikawa, R., & Tsuda, M. (2023) · Cells · doi:10.3390/cells12081207 · Cited by 55 · see citing works
Cross-disorder and disease-specific pathways in dementia revealed by single-cell genomics
Rexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A., Han, X., Yamakawa, M., Yin, A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.08.019 · Cited by 56 · see citing works
Self-citationLiu, X., Ye, M., & Ma, L. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1022821 · Cited by 48 · see citing works
Alzheimer’s genes in microglia: a risk worth investigating
Sudwarts, A., & Thinakaran, G. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00679-4 · Cited by 46 · see citing works
Glial TDP‐43 and TDP‐43 induced glial pathology, focus on neurodegenerative proteinopathy syndromes
Prater, K. E., Latimer, C. S., & Jayadev, S. (2021) · Glia · doi:10.1002/glia.24096 · Cited by 44 · see citing works
Ma, S., Bi, W., Liu, X., Li, S., Qiu, Y., Huang, C., Lv, R., & Yin, Q. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.891039 · Cited by 43 · see citing works
Constructing local cell-specific networks from single-cell data
Wang, X., Choi, D. S., & Roeder, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113178118 · Cited by 43 · see citing works
Self-citationSingle cell transcriptomes and multiscale networks from persons with and without Alzheimer’s disease
Wang, Q., Antone, J., Alsop, E. B., Reiman, R. A., Funk, C. C., Bendl, J. M., Dudley, J. T., Liang, W. S., Karr, T. L., Roussos, P., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49790-0 · Cited by 44 · see citing works
Zhang, P., Gao, C., Guo, Q., Yang, D., Zhang, G., Lü, H., Zhang, L., Zhang, G., & Li, D. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03113-8 · Cited by 43 · see citing works
Gao, C., Shen, X., Tan, Y., & Chen, S. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02580-1 · Cited by 43 · see citing works
Synapses, Microglia, and Lipids in Alzheimer’s Disease
Paasila, P. J., Aramideh, J. A., Sutherland, G. T., & Graeber, M. B. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.778822 · Cited by 38 · see citing works
Althafar, Z. M. (2022) · Molecules · doi:10.3390/molecules27134124 · Cited by 35 · see citing works
Dementia, infections and vaccines: 30 years of controversy
Ecarnot, F., Boccardi, V., Calcagno, A., Franceschi, C., Fülöp, T., Itzhaki, R. F., Michel, J., Panza, F., Rainero, I., Solfrizzi, V., et al. (2023) · Aging Clinical and Experimental Research · doi:10.1007/s40520-023-02409-8 · Cited by 34 · see citing works
The emerging role of brain neuroinflammatory responses in Alzheimer’s disease
AmeliMojarad, M., AmeliMojarad, M., & Cui, X. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1391517 · Cited by 33 · see citing works
Patel, S., Howard, D., Chowdhury, N., Casey, D., Wellslager, B., Yilmaz, Ö., & French, L. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.646259 · Cited by 35 · see citing works
TREM2 and Microglia Contribute to the Synaptic Plasticity: from Physiology to Pathology
Yu, C.-J., Wang, M., Ruiyang, L., Wei, T., Yang, H.-C., Yin, Y., Mi, Y., Qin, Q., & Tang, Y. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03100-1 · Cited by 33 · see citing works
The Specific Mechanism of TREM2 Regulation of Synaptic Clearance in Alzheimer’s Disease
Qin, Q., Wang, M., Yin, Y., & Tang, Y. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.845897 · Cited by 33 · see citing works
The X factor in neurodegeneration
Voskuhl, R. R., & Itoh, Y. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20211488 · Cited by 34 · see citing works
Xu, M., Yang, Y., Peng, J., Zhang, Y., Wu, B., He, B., Jia, Y., & Yan, T. (2022) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2022.115914 · Cited by 31 · see citing works
The central role of microglia in major depressive disorder and its potential as a therapeutic target
Xia, X., Li, K., Zou, W., & Wang, L. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1598178 · Cited by 30 · see citing works
Alzheimer’s disease and epilepsy: An increasingly recognized comorbidity
Yang, F., Chen, L., Yu, Y., Xu, T., Chen, L., Yang, W., Wu, Q., & Han, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.940515 · Cited by 31 · see citing works
Snellman, A., Ekblad, L. L., Tuisku, J., Koivumäki, M., Ashton, N. J., Lantero‐Rodriguez, J., Karikari, T. K., Helin, S., Bucci, M., Löyttyniemi, E., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01209-6 · Cited by 30 · see citing works
Osteoporosis and Alzheimer´s disease (or Alzheimer´s disease and Osteoporosis)
Wanionok, N. E., Morel, G. R., & Fernández, J. M. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102408 · Cited by 30 · see citing works
Comprehensive review on single-cell RNA sequencing: A new frontier in Alzheimer's disease research
Jin, W., Pei, J., Roy, J. R., Jayaraman, S., Ahalliya, R. M., Kanniappan, G. V., Mironescu, M., & Palanisamy, C. P. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102454 · Cited by 30 · see citing works
Liu, Z., & Song, S. (2025) · Genes · doi:10.3390/genes16020135 · Cited by 30 · see citing works
Roles of TREM2 in Alzheimer’s disease
Qi, X., Zhu, K., Ke, W., Wang, J., Mao, S., & Chen, G. (2025) · Translational Neurodegeneration · doi:10.1186/s40035-025-00515-3 · Cited by 36 · see citing works
TREM2 risk variants are associated with atypical Alzheimer’s disease
Kim, B., Suh, E. R., Nguyen, A. T., Prokop, S., Mikytuck, B., Olatunji, O. A., Robinson, J. L., Grossman, M., Phillips, J. S., Irwin, D. J., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02495-4 · Cited by 29 · see citing works
Self-citationSt-Pierre, M.-K., VanderZwaag, J., Loewen, S., & Tremblay, M. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.932572 · Cited by 25 · see citing works
Auerbach, B. J., Hu, J., Reilly, M. P., & Li, M. (2021) · Genome Research · doi:10.1101/gr.275430.121 · Cited by 25 · see citing works
Self-citationAssaying Microglia Functions In Vitro
Maguire, E., Connor‐Robson, N., Shaw, B., O’Donoghue, R., Stöberl, N., & Hall‐Roberts, H. (2022) · Cells · doi:10.3390/cells11213414 · Cited by 27 · see citing works
Wu, D., Bi, X., & Chow, H. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02987-4 · Cited by 27 · see citing works
APOE4 is a Risk Factor and Potential Therapeutic Target for Alzheimer's Disease
Ayyubova, G. (2023) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527322666230303114425 · Cited by 23 · see citing works
Lü, Y., Girardi, C. S., Fitz, N. F., McGuire, M. R., Ostach, M. A., Mamun-Or-Rashid, A. N. M., Lefterov, I. M., & Koldamova, R. P. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112785 · Cited by 25 · see citing works
Exploring the Disease-Associated Microglia State in Amyotrophic Lateral Sclerosis
Jauregui, C., Blanco‐Luquin, I., Macías, M., Roldán, M., Caballero, C., Pagola, I., Mendióroz, M., & Jericó, I. (2023) · Biomedicines · doi:10.3390/biomedicines11112994 · Cited by 23 · see citing works
Uncovering plaque-glia niches in human Alzheimer’s disease brains using spatial transcriptomics
Avey, D. R., Ng, B., Vialle, R. A., Kearns, N. A., Lopes, K. D. P., Iatrou, A., Tissera, S. L. D., Vyas, H., Saunders, D. M., Flood, D. J., et al. (2025) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-025-00002-z · Cited by 26 · see citing works
Hassan, H., Rawlinson, C., Lan, Y., Jenkins, S. I., & Chen, R. (2025) · Biomolecules · doi:10.3390/biom15111629 · Cited by 24 · see citing works
The Role of Human Herpesvirus 6 Infection in Alzheimer’s Disease Pathogenicity—A Theoretical Mosaic
Romanescu, C., Schreiner, T. G., & Mukovozov, I. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11113061 · Cited by 24 · see citing works
Uncovering Plaque-Glia Niches in Human Alzheimer’s Disease Brains Using Spatial Transcriptomics
Avey, D. R., Ng, B., Vialle, R. A., Kearns, N. A., de Paiva Lopes, K., Iatrou, A., De Tissera, S., Vyas, H., Saunders, D. M., Flood, D. J., et al. (2024) · doi:10.1101/2024.09.05.611566 · Cited by 24
Liu, A., Wang, T., Yang, L., & Zhou, Y. (2025) · Brain Sciences · doi:10.3390/brainsci15070675 · Cited by 22 · see citing works
APOEε4 and risk of Alzheimer’s disease – time to move forward
Lefterov, I. M., Fitz, N. F., Lü, Y., & Koldamova, R. P. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1195724 · Cited by 23 · see citing works
Schmassmann, P., Roux, J., Dettling, S., Hogan, S. A., Shekarian, T., Martins, T. A., Ritz, M., Herter, S., Bacac, M., & Hütter, G. (2023) · eLife · doi:10.7554/elife.92678 · Cited by 31 · see citing works
He, D., Liu, Q., Mi, Y., Meng, Q., Xu, L., Hou, C., Wang, J., Li, N., Liu, Y., Chai, H., et al. (2024) · Advanced Science · doi:10.1002/advs.202307245 · Cited by 20 · see citing works
Wang, X., Xie, Y., Fan, X., Wu, X., Wang, D., & Li, Z. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01489-6 · Cited by 22 · see citing works
Self-citationTuddenham, J. F., Taga, M. F., Haage, V. C., Roostaei, T., White, C. C., Lee, A., Fujita, M., Khairallah, A., Green, G., Hyman, B. T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.04.494709 · Cited by 20 · see citing works
Nguyen, V. T. T., Slotos, R. S., Guilherme, M. D. S., Nguyen, T. T., Weisenburger, S., Lehner, M. D., & Endres, K. (2024) · Phytomedicine · doi:10.1016/j.phymed.2024.156327 · Cited by 19 · see citing works
The Dual Nature of Microglia in Alzheimer’s Disease: A Microglia-Neuron Crosstalk Perspective
Xie, Z., Meng, J., Wu, Z., Nakanishi, H., Hayashi, Y., Kong, W., Lan, F., Narengaowa, Yang, Q., Qing, H., et al. (2022) · The Neuroscientist · doi:10.1177/10738584211070273 · Cited by 20 · see citing works
Ayyubova, G. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15914 · Cited by 20 · see citing works
DAMP signaling networks: from receptors to diverse pathophysiological functions
Chen, R., Zou, J., Zhong, X. Y., Liu, J., Kang, R., & Tang, D. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.07.047 · Cited by 20 · see citing works
Schmassmann, P., Roux, J., Dettling, S., Hogan, S. A., Shekarian, T., Martins, T. A., Ritz, M., Herter, S., Bacac, M., & Hütter, G. (2023) · eLife · doi:10.7554/elife.92678.2 · Cited by 18 · see citing works
Building and analyzing metacells in single-cell genomics data
Bilous, M., Hérault, L., Gabriel, A. A., Teleman, M., & Gfeller, D. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00045-6 · Cited by 18 · see citing works
The single-cell opioid responses in the context of HIV (SCORCH) consortium
Ament, S. A., Campbell, R. R., Lobo, M. K., Receveur, J. P., Agrawal, K., Borjabad, A., Byrareddy, S. N., Chang, L., Clarke, D., Emani, P. S., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02620-7 · Cited by 20 · see citing works
Naj, A. C., Leonenko, G., Jian, X., Grenier‐Boley, B., Dalmasso, M. C., Bellenguez, C., Jin, S., Zhao, Y., van der Lee, S. J., Sims, R., et al. (2021) · medRxiv · doi:10.1101/2021.03.14.21253553 · Cited by 17 · see citing works
Self-citationMurray, J., Meloni, G., Cortes, E. P., KimSilva, A., Jacobs, M. M., Ramkissoon, A., Crary, J. F., & Morgello, S. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01375-y · Cited by 17 · see citing works
Xue, Y., Gu, M., Chen, C., Yao, Y., Li, Y., Weng, G., & Gu, Y. (2023) · Molecular Medicine Reports · doi:10.3892/mmr.2023.12972 · Cited by 17 · see citing works
Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study
Allwright, M., Mundell, H. D., McCorkindale, A. N., Lindley, R. I., Austin, P. J., Guennewig, B., & Sutherland, G. T. (2023) · Aging Brain · doi:10.1016/j.nbas.2023.100081 · Cited by 18 · see citing works
Single‐Cell and Spatial Multiomics: Applications for Diseases
Li, W., Chen, C., Zhu, X., & Zhang, C. (2025) · MedComm · doi:10.1002/mco2.70553 · Cited by 16 · see citing works
- Authors
- Nguyen, A. T., Wang, K., Hu, G., Wang, X., Miao, Z., Azevedo, J. A., Suh, E., Van Deerlin, V. M., Choi, D., Roeder, K., Li, M., & Lee, E. B.
- Affiliations
- University of Pennsylvania (US)
- Nankai University (CN)
- Carnegie Mellon University (US)
- Corresponding author
- Li, Mingyao
- Lee, Edward B.
- ORCID
- Venue
- Acta Neuropathologica
- Published
- 2020-08-25
- Volume
- 140
- Issue
- 4
- Pages
- 477-493
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC7520051
- OpenAlex
- W3080402156
- Cited by
- 241
- References
- 79
- Citations by year
- 2026: 33 · 2025: 39 · 2024: 67 · 2023: 43 · 2022: 32 · 2021: 23 · 2020: 2 · 2012: 1
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Update notices
- correction (2023-08-17)
- Open access
- green
- europepmc.org
- Licence
- Locations
- Acta Neuropathologica (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion, cc-by)
- PubMed Central (acceptedVersion, cc-by)
- Funders
- National Institutes of Health (R01NS095793, R56AG063344, P30AG010124, T32AG000255, R01GM108600, R01GM125301, R37MH05788)
- University of Pennsylvania Institute on Aging Pilot Grant (Pilot Grant)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, apolipoprotein E, TREM2, amyloid-beta, microglial subpopulations, CD163, genetic risk variants, single-nucleus RNA sequencing, postmortem brain
- MeSH terms
- Alzheimer Disease, Apolipoproteins E, Humans, Membrane Glycoproteins, Receptors, Immunologic, Amyloid beta-Peptides, 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.
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 ›
Are you an author, or do you see a problem with this page? Request a review
