Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden
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Integrative gene network approaches enable new avenues of exploration that implicate causal genes in sporadic late-onset Alzheimer’s disease (LOAD) pathogenesis, thereby offering novel insights for drug-discovery programs. We previously constructed a probabilistic causal network model of sporadic LOAD and identified TYROBP/DAP12 , encoding a microglial transmembrane signaling polypeptide and direct adapter of TREM2, as the most robust key driver gene in the network. Here, we show that absence of TYROBP/DAP12 in a mouse model of AD-type cerebral Aβ amyloidosis ( APP KM670/671NL / PSEN1 Δexon9 ) recapitulates the expected network characteristics by normalizing the transcriptome of APP/PSEN1 mice and repressing the induction of genes involved in the switch from homeostatic microglia to disease-associated microglia (DAM), including Trem2 , complement ( C1qa , C1qb , C1qc , and Itgax ), Clec7a and Cst7 . Importantly, we show that constitutive absence of TYROBP/DAP12 in the amyloidosis mouse model prevented appearance of the electrophysiological and learning behavior alterations associated with the phenotype of APP KM670/671NL / PSEN1 Δexon9 mice. Our results suggest that TYROBP/DAP12 could represent a novel therapeutic target to slow, arrest, or prevent the development of sporadic LOAD. These data establish that the network pathology observed in postmortem human LOAD brain can be faithfully recapitulated in the brain of a genetically manipulated mouse. These data also validate our multiscale gene networks by demonstrating how the networks intersect with the standard neuropathological features of LOAD.
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Manipulation of Trem2, Tyrobp, Cx3cl1/Cx3cr1, IL1β, and IFN-γ have opposing effects on amyloid and tau pathologies.
“Indeed, manipulation of expression of Trem2, Tyrobp, Cx3cl1/Cx3cr1, IL1β, and IFN-γ have all been shown to have opposing effects on amyloid and tau pathologies [49–51, 55–65].”
From Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways (2022) · cites this paper as [56]
The Results report that Tyrobp deletion did not change amyloid-plaque burden in APP/PSEN1 mice, while the Discussion reports increased tau spread and phosphorylation after Tyrobp deletion in a tauopathy mouse model. This supports differing outcomes for Tyrobp, though not opposing changes in amyloid and tau burden. The paper does not establish the claimed amyloid-versus-tau effects for Trem2, Cx3cl1/Cx3cr1, IL1β, or IFN-γ. (LLM, conf=0.83)
Experimental — accuracy not yet measuredA reduction of Tyrobp has neuroprotective effects on AD pathology.
“Previous studies have shown that a reduction of Tyrobp has neuroprotective effects on AD pathology38,39.”
From Effects of SPI1-mediated transcriptome remodeling on Alzheimer's disease-related phenotypes in mouse models of Aβ amyloidosis (2024) · cites this paper as [39]
Manipulation of molecules involved in immune/microglial function in either direction may result in detrimental or exacerbated pathological outcomes.
“However, as we have previously seen in our studies modulating Tyrobp expression, manipulation of molecules involved in immune/microglial function in either direction may result in detrimental or exacerbated pathological outcomes.49,53,54,56”
From Microglial <i>INPP5D</i> limits plaque formation and glial reactivity in the PSAPP mouse model of Alzheimer's disease (2023) · cites this paper as [54]
Numerous studies targeting members of the TREM2/TYROBP pathway (Trem2, Tyrobp, and miR155) support beneficial outcomes associated with maintenance and/or restoration of homeostatic functions of microglia.
“Support for beneficial outcomes associated with maintenance and/or restoration of homeostatic functions of microglia comes from the numerous studies targeting the members of this pathway, including Trem2,48,50–52 Tyrobp,53,54 and miR155.41,55”
From Microglial <i>INPP5D</i> limits plaque formation and glial reactivity in the PSAPP mouse model of Alzheimer's disease (2023) · cites this paper as [54]
The dichotomy of immune effects on amyloid and tau has been demonstrated in multiple models of Trem2 and Tyrobp.
“More recently, this dichotomy has been elegantly demonstrated in multiple models of Trem2 and Tyrobp [49–51, 55–59].”
From Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways (2022) · cites this paper as [56]
CLEC7A is a disease-associated microglia gene that increases after TBI in mice, in a mouse model of Alzheimer's disease, and in aged microglia associated with neurodegenerative disease.
“CLEC7A (FC = 2.02, p = 0.02) is a disease-associated microglia gene which has been shown to increase after TBI in mice [19], in a mouse model of AD [38, 56], and in aged microglia associated with neurodegenerative disease [135].”
From Early onset senescence and cognitive impairment in a murine model of repeated mTBI (2021) · cites this paper as [56]
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860 · see citing works
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · 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
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
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 · see citing works
The Classical Complement Cascade Mediates CNS Synapse Elimination
Stevens, B., Allen, N. J., Vazquez, L. E., Howell, G. R., Christopherson, K. S., Nouri, N., Micheva, K. D., Mehalow, A. K., Huberman, A. D., Stafford, B., et al. (2007) · Cell · doi:10.1016/j.cell.2007.10.036 · Cited by 3,313 · see citing works
Memory deficits associated with senescence: A neurophysiological and behavioral study in the rat.
Barnes, C. A. (1979) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0077579 · Cited by 2,088 · see citing works
Naj, A. C., Jun, G., Beecham, G. W., Wang, L.-S., Vardarajan, B. N., Buros, J., Gallins, P. J., Buxbaum, J. D., Jarvik, G. P., Crane, P. K., et al. (2011) · Nature Genetics · doi:10.1038/ng.801 · Cited by 1,901 · see citing works
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · see citing works
Self-citationJankowsky, J. L., Fadale, D. J., Anderson, J., Xu, G. M., Gonzales, V., Jenkins, N. A., Copeland, N. G., Lee, M. K., Younkin, L. H., Wagner, S. L., et al. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh019 · Cited by 1,575 · see citing works
TREM2 Maintains Microglial Metabolic Fitness in Alzheimer’s Disease
Ulland, T. K., Song, W. M., Huang, S. C.-C., Ulrich, J. D., Sergushichev, A., Beatty, W. L., Loboda, A. A., Zhou, Y., Cairns, N. J., Kambal, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.023 · Cited by 1,263 · 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
Yuan, P., Condello, C., Keene, C. D., Wang, Y., Bird, T. D., Paul, S. M., Luo, W., Colonna, M., Baddeley, D., & Grutzendler, J. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.003 · Cited by 817 · see citing works
Overview and Findings from the Religious Orders Study
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322573 · Cited by 647 · see citing works
Debanne, D., Guérineau, N. C., Gähwiler, B. H., & Thompson, S. M. (1996) · The Journal of Physiology · doi:10.1113/jphysiol.1996.sp021204 · Cited by 613 · see citing works
Complement C3 deficiency protects against neurodegeneration in aged plaque-rich APP/PS1 mice
Shi, Q., Chowdhury, S., Ma, R., Le, K. X., Hong, S., Caldarone, B. J., Stevens, B., & Lemere, C. A. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf6295 · Cited by 593 · see citing works
Lightfield, K. L., Persson, J., Brubaker, S. W., Witte, C. E., von Moltke, J., Dunipace, E. A., Henry, T., Sun, Y., Cado, D., Dietrich, W. F., et al. (2008) · Nature Immunology · doi:10.1038/ni.1646 · Cited by 487 · see citing works
Han, C., Jin, J., Xu, S., Liu, H., Li, N., & Cao, X. (2010) · Nature Immunology · doi:10.1038/ni.1908 · Cited by 458 · see citing works
Disease Progression-Dependent Effects of TREM2 Deficiency in a Mouse Model of Alzheimer's Disease
Jay, T. R., Hirsch, A. M., Broihier, M. L., Miller, C. M., Neilson, L. E., Ransohoff, R. M., Lamb, B. T., & Landreth, G. E. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2110-16.2016 · Cited by 457 · see citing works
Mócsai, A., Abram, C. L., Jakus, Z., Hu, Y., Lanier, L. L., & Lowell, C. A. (2006) · Nature Immunology · doi:10.1038/ni1407 · Cited by 369 · see citing works
IRF8 Is a Critical Transcription Factor for Transforming Microglia into a Reactive Phenotype
Masuda, T., Tsuda, M., Yoshinaga, R., Tozaki-Saitoh, H., Ozato, K., Tamura, T., & Inoue, K. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.02.014 · Cited by 338 · see citing works
Tomic, J. L., Pensalfini, A., Head, E., & Glabe, C. G. (2009) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.05.024 · Cited by 336 · see citing works
Monoclonal antibodies that target pathological assemblies of Aβ
Lambert, M. P., Velasco, P. T., Chang, L., Viola, K. L., Fernandez, S., Lacor, P. N., Khuon, D., Gong, Y., Bigio, E. H., Shaw, P., et al. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.04157.x · Cited by 314 · see citing works
Wang, M., Roussos, P., McKenzie, A., Zhou, X., Kajiwara, Y., Brennand, K. J., De Luca, G. C., Crary, J. F., Casaccia, P., Buxbaum, J. D., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0355-3 · Cited by 314 · see citing works
Self-citationGenes and pathways underlying regional and cell type changes in Alzheimer’s disease
Miller, J. A., Woltjer, R. L., Goodenbour, J. M., Horvath, S., & Geschwind, D. H. (2013) · Genome Medicine · doi:10.1186/gm452 · Cited by 275 · see citing works
Activating and inhibitory functions of DAP12
Turnbull, I. R., & Colonna, M. (2007) · Nature Reviews Immunology · doi:10.1038/nri2014 · Cited by 273 · see citing works
DAP12-deficient mice fail to develop autoimmunity due to impaired antigen priming.
Bakker, A. B., Hoek, R., Cerwenka, A., Blom, B., Lucian, L., McNeil, T., Murray, R., Phillips, L., Sedgwick, J., & Lanier, L. (2000) · Immunity · doi:10.1016/s1074-7613(00)00034-0 · Cited by 269 · see citing works
Disentangling molecular relationships with a causal inference test
Millstein, J., Zhang, B., Zhu, J. W., & Schadt, E. E. (2009) · BMC Genetics · doi:10.1186/1471-2156-10-23 · Cited by 230 · see citing works
Self-citationTranscription factor IRF5 drives P2X4R+-reactive microglia gating neuropathic pain
Masuda, T., Iwamoto, S., Yoshinaga, R., Tozaki‐Saitoh, H., Nishiyama, A., Mak, T. W., Tamura, T., Tsuda, M., & Inoue, K. (2014) · Nature Communications · doi:10.1038/ncomms4771 · Cited by 217 · see citing works
Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases
Narayanan, M., Huynh, J. L., Wang, K., Yang, X., Yoo, S., McElwee, J., Zhang, B., Zhang, C., Lamb, J. R., Xie, T., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145304 · Cited by 208 · see citing works
Self-citationBarnes maze, a useful task to assess spatial reference memory in the mice
Sunyer, B., Patil, S. S., Höger, H., & Luber, G. (2007) · Protocol Exchange · doi:10.1038/nprot.2007.390 · Cited by 201 · see citing works
Convergent genetic and expression data implicate immunity in Alzheimer's disease
International Genomics of Alzheimer's Disease Consortium (IGAP), Jones, L., Lambert, J., Wang, L., Choi, S., Harold, D., Vedernikov, A., Escott‐Price, V., Stone, T., Richards, A., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.05.1757 · Cited by 199 · see citing works
Stoltzner, S. E., Grenfell, T. J., Mori, C., Wisniewski, K. E., Wisniewski, T. M., Selkoe, D. J., & Lemere, C. A. (2000) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64753-0 · Cited by 187 · see citing works
Polygenic risk of Alzheimer disease is associated with early- and late-life processes
Mormino, E. C., Sperling, R. A., Holmes, A. J., Buckner, R. L., Jager, P. L. D., Smoller, J. W., Sabuncu, M. R., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002922 · Cited by 170 · see citing works
CD33 modulates TREM2: convergence of Alzheimer loci
Chan, G., White, C. C., Winn, P. A., Cimpean, M., Replogle, J. M., Glick, L. R., Cuerdon, N. E., Ryan, K. J., Johnson, K. A., Schneider, J. A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4126 · Cited by 162 · see citing works
Quaternary Structure Defines a Large Class of Amyloid-β Oligomers Neutralized by Sequestration
Liu, P., Reed, M. N., Kotilinek, L., Grant, M. K. O., Forster, C. L., Qiang, W., Shapiro, S. L., Reichl, J. H., Chiang, A. C. A., Jankowsky, J. L., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.05.021 · Cited by 147 · see citing works
Marchetti, C., & Marie, H. (2011) · Reviews in the Neurosciences · doi:10.1515/rns.2011.035 · Cited by 133 · see citing works
Haure-Mirande, J.-V., Audrain, M., Fanutza, T., Kim, S. H., Klein, W. L., Glabe, C., Readhead, B., Dudley, J. T., Blitzer, R. D., Wang, M., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1737-3 · Cited by 127 · see citing works
Self-citationMultiple contributing roles for NOS2 in LPS-induced acute airway inflammation in mice
Okamoto, T., Gohil, K., Finkelstein, E. I., Bove, P. F., Akaike, T., & van der Vliet, A. (2004) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00136.2003 · Cited by 116 · see citing works
Transcriptional vulnerability of brain regions in Alzheimer's disease and dementia
Haroutunian, V. H., Katsel, P., & Schmeidler, J. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.07.021 · Cited by 113 · see citing works
Toward the Treatment and Prevention of Alzheimer's Disease: Rational Strategies and Recent Progress
Gandy, S., & DeKosky, S. T. (2013) · Annual Review of Medicine · doi:10.1146/annurev-med-092611-084441 · Cited by 110 · see citing works
Self-citationWhite, C. C., Yang, H., Yu, L., Chibnik, L. B., Dawe, R. J., Yang, J., Klein, H., Felsky, D., Ramos‐Miguel, A., Arfanakis, K., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002287 · Cited by 108 · see citing works
Genetic variants in Alzheimer disease — molecular and brain network approaches
Gaiteri, C., Mostafavi, S., Honey, C. J., Jager, P. L. D., & Bennett, D. A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.84 · Cited by 96 · see citing works
TYROBP genetic variants in early-onset Alzheimer's disease
Pottier, C., Ravenscroft, T. A., Brown, P. H., Finch, N. A., Baker, M., Parsons, M., Asmann, Y. W., Ren, Y., Christopher, E., Levitch, D., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.07.028 · Cited by 94 · see citing works
DAP12: an adapter protein with dual functionality
Takaki, R., Watson, S. R., & Lanier, L. L. (2006) · Immunological Reviews · doi:10.1111/j.1600-065x.2006.00466.x · Cited by 92 · see citing works
Initiative, A. D. N., Takahashi, H., Klein, Z. A., Bhagat, S. M., Kaufman, A. C., Kostylev, M. A., Ikezu, T., & Strittmatter, S. M. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1668-z · Cited by 83 · see citing works
Fanutza, T., Prete, D. D., Ford, M. J., Castillo, P. E., & D'adamio, L. (2015) · eLife · doi:10.7554/elife.09743 · Cited by 81 · see citing works
Self-citationComplement in Alzheimer's disease: opportunities for modulating protective and pathogenic events
Tenner, A. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00301-3 · Cited by 81 · see citing works
Histological and Direct Evidence for the Role of Complement in the Neuroinflammation of AD
Veerhuis, R. (2011) · Current Alzheimer Research · doi:10.2174/156720511794604589 · Cited by 80 · see citing works
Linnartz‐Gerlach, B., Kopatz, J., & Neumann, H. (2014) · Glycobiology · doi:10.1093/glycob/cwu044 · Cited by 75 · see citing works
Initiative, A. D. N., Roostaei, T., Nazeri, A., Felsky, D., Jager, P. L. D., Schneider, J. A., Pollock, B. G., Bennett, D. A., & Voineskos, A. N. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.35 · Cited by 70 · see citing works
Audrain, M., Haure-Mirande, J.-V., Wang, M., Kim, S. H., Fanutza, T., Chakrabarty, P., Fraser, P., St George-Hyslop, P. H., Golde, T. E., Blitzer, R. D., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0258-3 · Cited by 68 · see citing works
Self-citationNasu‐Hakola disease: The first case reported by Nasu and review
Kaneko, M., Sano, K., Nakayama, J., & Amano, N. (2010) · Neuropathology · doi:10.1111/j.1440-1789.2010.01127.x · Cited by 67 · see citing works
Relation of genomic variants for Alzheimer disease dementia to common neuropathologies
Farfel, J. M., Yu, L., Buchman, A. S., Schneider, J. A., De Jager, P. L., & Bennett, D. A. (2016) · Neurology · doi:10.1212/wnl.0000000000002909 · Cited by 64 · see citing works
Kim, S. H., Steele, J., Lee, S. W., Clemenson, G. D., Carter, T., Treuner, K., Gadient, R. A., Wedel, P. C., Glabe, C. G., Barlow, C., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.87 · Cited by 62 · see citing works
Self-citationBennett, D. A., Yu, L., & Jager, P. L. D. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.01.037 · Cited by 53 · see citing works
Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes
Knight, E. M., Kim, S. H., Kottwitz, J., Hatami, A., Albay, R., Suzuki, A. Z., Lublin, A. L., Alberini, C. M., Klein, W. L., Szabo, P., et al. (2016) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000237 · Cited by 47 · see citing works
Self-citationDiscover the network mechanisms underlying the connections between aging and age-related diseases
Yang, J., Huang, T., Song, W.-M., Petralia, F., Mobbs, C. V., Zhang, B., Zhao, Y., Schadt, E. E., Zhu, J., & Tu, Z. (2016) · Scientific Reports · doi:10.1038/srep32566 · Cited by 46 · see citing works
Self-citationKnight, E. M., Ruiz, H. H., Kim, S. H., Harte, J. C., Hsieh, W., Glabe, C. G., Klein, W. L., Attie, A., Buettner, C., Ehrlich, M. E., et al. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0282-y · Cited by 25 · see citing works
Self-citationReadhead, B., Haure‐Mirande, J., Zhang, B., Haroutunian, V. H., Gandy, S., Schadt, E. E., Dudley, J. T., & Ehrlich, M. E. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.167 · Cited by 14 · see citing works
Self-citation
Flagged first, then by citations
2 of the 64 references couldn’t be matched to a known paper.
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Sorted by citations
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
Myszczynska, M. A., Ojamies, P. N., Lacoste, A. M. B., Neil, D., Saffari, A., Mead, R., Hautbergue, G. M., Holbrook, J. D., & Ferraiuolo, L. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0377-8 · Cited by 595 · see citing works
Peripheral inflammatory biomarkers in Alzheimer’s disease: a brief review
Park, J., Han, S.-H., & Mook‐Jung, I. (2020) · BMB Reports · doi:10.5483/bmbrep.2020.53.1.309 · Cited by 200 · see citing works
Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2021) · Neuron · doi:10.1016/j.neuron.2020.11.002 · Cited by 185 · see citing works
Self-citationHorgusluoglu, E., Neff, R., Song, W., Wang, M., Wang, Q., Arnold, M., Krumsiek, J., Galindo‐Prieto, B., Ming, C., Nho, K., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12468 · Cited by 175 · see citing works
Self-citationHaure-Mirande, J.-V., Audrain, M., Ehrlich, M. E., & Gandy, S. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00552-w · Cited by 159 · see citing works
Self-citationDistinct Signaling Pathways Regulate TREM2 Phagocytic and NFκB Antagonistic Activities
Yao, H., Coppola, K., Schweig, J. E., Crawford, F., Mullan, M., & Paris, D. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00457 · Cited by 110 · see citing works
Complement-Mediated Events in Alzheimer’s Disease: Mechanisms and Potential Therapeutic Targets
Tenner, A. J. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.1901068 · Cited by 101 · see citing works
The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease
Wang, Q., Zhang, Y., Wang, M., Song, W.-M., Shen, Q., McKenzie, A., Choi, I., Zhou, X., Pan, P.-Y., Yue, Z., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13144-y · Cited by 121 · see citing works
Self-citationHashemiaghdam, A., & Mroczek, M. (2020) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2020.577185 · Cited by 77 · see citing works
de Vries, L. E., Huitinga, I., Kessels, H. W. H. G., Swaab, D. F., & Verhaagen, J. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00719-7 · Cited by 82 · see citing works
Castranio, E. L., Hasel, P., Haure‐Mirande, J., Ramirez Jimenez, A. V., Hamilton, B. W., Kim, R. D., Glabe, C. G., Wang, M., Zhang, B., Gandy, S., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12821 · Cited by 74 · see citing works
Self-citationElder, G. A., Ehrlich, M. E., & Gandy, S. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134294 · Cited by 73 · see citing works
Self-citationEmerging roles of Dectin-1 in noninfectious settings and in the CNS
Deerhake, M. E., & Shinohara, M. L. (2021) · Trends in Immunology · doi:10.1016/j.it.2021.08.005 · Cited by 71 · see citing works
Trem2 deficiency differentially affects phenotype and transcriptome of human APOE3 and APOE4 mice
Fitz, N. F., Wolfe, C. M., Playso, B. E., Biedrzycki, R. J., Lu, Y., Nam, K. N., Lefterov, I., & Koldamova, R. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00394-4 · Cited by 68 · see citing works
Audrain, M., Haure-Mirande, J.-V., Wang, M., Kim, S. H., Fanutza, T., Chakrabarty, P., Fraser, P., St George-Hyslop, P. H., Golde, T. E., Blitzer, R. D., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0258-3 · Cited by 68 · see citing works
Self-citationA Microglial Signature Directing Human Aging and Neurodegeneration-Related Gene Networks
Mukherjee, S., Klaus, C. R., Pricop‐Jeckstadt, M., Miller, J. A., & Struebing, F. L. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00002 · Cited by 67 · see citing works
Audrain, M., Haure‐Mirande, J., Mleczko, J., Wang, M., Griffin, J. K., St George‐Hyslop, P. H., Fraser, P., Zhang, B., Gandy, S., & Ehrlich, M. E. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12256 · Cited by 65 · see citing works
Self-citationThe Importance of Complement-Mediated Immune Signaling in Alzheimer’s Disease Pathogenesis
Batista, A. F., Khan, K., Papavergi, M.-T., & Lemere, C. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25020817 · Cited by 67 · see citing works
Omics-based biomarkers discovery for Alzheimer's disease
Aerqin, Q., Wang, Z.-T., Wu, K., He, X., Dong, Q., & Yu, J. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04614-6 · Cited by 54 · see citing works
Jiang, J., Ding, Y., Wu, M., Lyu, X., Wang, H., Chen, Y., Wang, H., & Teng, L. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01765 · Cited by 52 · see citing works
Effect of APOE alleles on the glial transcriptome in normal aging and Alzheimer’s disease
Serrano-Pozo, A., Li, Z., Noori, A., Nguyen, H. N., Mezlini, A., Li, L., Hudry, E., Jackson, R. J., Hyman, B. T., & Das, S. (2021) · Nature Aging · doi:10.1038/s43587-021-00123-6 · Cited by 49 · see citing works
Characterization of the chromatin accessibility in an Alzheimer’s disease (AD) mouse model
Wang, Y., Zhang, X., Song, Q., Hou, Y., Liu, J., Sun, Y., & Wang, P. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00598-2 · Cited by 49 · see citing works
McFarland, K. N., & Chakrabarty, P. (2022) · Neurotherapeutics · doi:10.1007/s13311-021-01179-3 · Cited by 48 · see citing works
Complement in Neurologic Disease
Propson, N. E., Gedam, M., & Zheng, H. (2020) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-031620-113409 · Cited by 43 · see citing works
Early onset senescence and cognitive impairment in a murine model of repeated mTBI
Schwab, N., Ju, Y., & Hazrati, L.-N. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01190-x · Cited by 39 · see citing works
INPP5D modulates TREM2 loss-of-function phenotypes in a β-amyloidosis mouse model
Iguchi, A., Takatori, S., Kimura, S., Muneto, H., Wang, K., Etani, H., Ito, G., Sato, H., Hori, Y., Sasaki, J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106375 · Cited by 37 · see citing works
miR155 regulation of behavior, neuropathology, and cortical transcriptomics in Alzheimer's disease
Readhead, B., Haure-Mirande, J.-V., Mastroeni, D., Audrain, M., Fanutza, T., Kim, S. H., Blitzer, R. D., Gandy, S., Dudley, J. T., & Ehrlich, M. E. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02185-z · Cited by 37 · see citing works
Self-citationAndrographolide ameliorates neuroinflammation in APP/PS1 transgenic mice
Zhang, J., Zheng, Y., Zhao, Y., Zhang, Y., Liu, Y., Ma, F., Wang, X., & Fu, J. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.107808 · Cited by 37 · see citing works
Sepers, B., Erven, J. A. M., Gawehns, F., Laine, V. N., & van Oers, K. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.609061 · Cited by 32 · see citing works
Chen, M., Wang, M., Wang, Q., Neff, R. A., Wang, E., Shen, Q., Reddy, J. S., Wang, X., Allen, M., Ertekin‐Taner, N., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12507 · Cited by 32 · see citing works
Self-citationDong, Q., Song, N., Qin, N., Chen, C., Li, Z., Sun, X., Easton, J. B., Mulder, H. L., Plyler, E. M., Neale, G. A. M., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01038-6 · Cited by 28 · see citing works
Mauduit, O., Delcroix, V., Umazume, T., de Paiva, C. S., Dartt, D. A., & Makarenkova, H. P. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1011125 · Cited by 29 · 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 29 · see citing works
Kim, B., Dabin, L. C., Tate, M. D., Karahan, H., Sharify, A. D., Acri, D. J., Al-Amin, M. M., Philtjens, S., Smith, D. C., Wijeratne, H. R. S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48484-x · Cited by 28 · see citing works
Wißfeld, J., Assale, T. A., Cuevas-Ríos, G., Liao, H., & Neumann, H. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1330874 · Cited by 23 · see citing works
Tangavelou, K., & Bhaskar, K. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252212335 · Cited by 24 · see citing works
Lv, Z., Xu, T., Li, R., Zheng, D., Li, Y., Li, W., Yang, Y. X., & Hao, Y. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.739201 · Cited by 22 · see citing works
Beneficial versus Detrimental Effects of Complement–Microglial Interactions in Alzheimer’s Disease
Ayyubova, G., & Fazal, N. (2024) · Brain Sciences · doi:10.3390/brainsci14050434 · Cited by 20 · see citing works
Zhao, Y., Guo, Q., Tian, J., Liu, W., & Wang, X. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102596 · Cited by 22 · see citing works
Altered sphingolipid function in Alzheimer's disease; a gene regulatory network approach
Giovagnoni, C., Ali, M., Eijssen, L., Maes, R., Choe, K., Mulder, M. T., Kleinjans, J. C. S., del Sol, A., Glaab, E., Mastroeni, D., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.02.001 · Cited by 21 · see citing works
Creus‐Muncunill, J., Haure‐Mirande, J., Mattei, D., Bons, J., Jimenez, A. V. R., Hamilton, B. W., Corwin, C., Chowdhury, S., Schilling, B., Ellerby, L., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03052-4 · Cited by 20 · see citing works
Self-citationZhou, X., Song, H., He, J., Han, W., & Li, Q. (2024) · Molecular Medicine Reports · doi:10.3892/mmr.2024.13228 · 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
Li, X., Liu, J., Boreland, A. J., Kapadia, S., Zhang, S., Stillitano, A. C., Abbo, Y., Clark, L. N., Lai, D., Liu, Y., et al. (2024) · Science Advances · doi:10.1126/sciadv.ado5820 · Cited by 18 · see citing works
Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways
Ibanez, K. R., McFarland, K. N., Phillips, J., Allen, M., Lessard, C. B., Zobel, L., De La Cruz, E. G., Shah, S., Vo, Q., Wang, X., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01044-1 · Cited by 18 · see citing works
Cystatin F acts as a mediator of immune suppression in glioblastoma
Senjor, E., Nanut, M. P., Breznik, B., Mitrović, A., Mlakar, J., Rotter, A., Porčnik, A., Turnšek, T. L., & Kos, J. (2021) · Cellular Oncology · doi:10.1007/s13402-021-00618-9 · Cited by 16 · see citing works
Doust, Y. V., Bindoff, A. D., Holloway, O. G., Wilson, R., King, A. E., & Ziebell, J. M. (2022) · Glia · doi:10.1002/glia.24313 · Cited by 14 · see citing works
Wu, H., Wang, J., Hu, X., Zhuang, C., Zhou, J., Wu, P., Li, S., & Zhao, R. C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1191680 · Cited by 12 · see citing works
Connor, S. M., Rashid, M., Ryan, K. J., Patel, K. R., Boyd, J. D., Smith, J., Elyaman, W., Bennett, D. A., & Bradshaw, E. M. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.894601 · Cited by 12 · see citing works
How Microglia Manages Non-cell Autonomous Vicious Cycling of Aβ Toxicity in the Pathogenesis of AD
Seol, Y., Ki, S., Ryu, H. L., Chung, S., Lee, J.-H., & Ryu, H. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.593724 · Cited by 12 · see citing works
Monoallelic TYROBP deletion is a novel risk factor for Alzheimer’s disease
Martiskainen, H., Willman, R.-M., Harju, P., Heikkinen, S., Heiskanen, M., Müller, S. A., Sinisalo, R., Takalo, M., Mäkinen, P. M., Kuulasmaa, T., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00830-3 · Cited by 14 · see citing works
Hernandez, M. L., Vaughan, J. M., Gordon, T., Lippmann, M., Gandy, S., & Chen, L. (2022) · Inhalation Toxicology · doi:10.1080/08958378.2022.2072027 · Cited by 11 · see citing works
Self-citationThe complement cascade in Alzheimer’s disease: modern implications of an ancient immune protagonist
Papavergi, M.-T., Bathini, P., Singh, B. B., & Lemere, C. A. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00916-y · Cited by 10 · see citing works
(2021) · Alzheimer s & Dementia · doi:10.1002/alz.12490 · Cited by 9 · see citing works
Chen, H., Fan, L., Guo, Q., Wong, M. Y., Zhu, J., Foxe, N. R., Wang, W. T., Nessim, A., Carling, G., Liu, B., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00903-3 · Cited by 8 · see citing works
Self-citationNeuropathological links between T2DM and LOAD: systematic review and meta-analysis
Lemche, E., Hortobágyi, T., Kiecker, C. M., & Turkheimer, F. (2025) · Physiological Reviews · doi:10.1152/physrev.00040.2024 · Cited by 8 · see citing works
Disentangling the Molecular Pathways of Parkinson’s Disease using Multiscale Network Modeling
Wang, Q., Zhang, B., & Yue, Z. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2020.11.006 · Cited by 7 · see citing works
Self-citationMolecular Networks and Key Regulators of the Dysregulated Neuronal System in Alzheimer’s Disease
Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2019) · doi:10.1101/788323 · Cited by 6 · see citing works
Self-citationLi, H., Xie, Z., Tian, Y., Zhou, R., Yang, Y., Lin, B., Chen, S., Wu, J., Deng, Z., Li, J., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03318-0 · Cited by 6 · see citing works
Causal network analysis of omics data using prior knowledge databases
Svinin, G. Е., & Glaab, E. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf654 · Cited by 4 · see citing works
Connecting dementia risk loci to the CSF proteome identifies pathophysiological leads for dementia
Reus, L. M., Jansen, I. E., Tijms, B. M., Visser, P. J., Tesi, N., van der Lee, S. J., Vermunt, L., Peeters, C. F. W., Groot, L. A. D., Hok‐A‐Hin, Y. S., et al. (2024) · Brain · doi:10.1093/brain/awae090 · Cited by 5 · see citing works
Nies, Y. H., Yahaya, M. F., Lim, W. L., & Teoh, S. L. (2023) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527322666230608122552 · Cited by 4 · see citing works
Luo, W., Chen, H., Fan, L., Guo, Q., Wong, M. Y., Yu, F., Foxe, N. R., Wang, W. T., Nessim, A., Carling, G., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3454358/v1 · Cited by 4 · see citing works
Self-citationMonoallelic TYROBP deletion is a novel risk factor for Alzheimer’s diseasePreprint
Martiskainen, H., Willman, R.-M., Heikkinen, S., Müller, S. A., Sinisalo, R., Takalo, M., Mäkinen, P. M., Kuulasmaa, T., Pekkala, V., del Rey, A. G., et al. (2024) · medRxiv · doi:10.1101/2024.05.09.24307099 · Cited by 4 · see citing works
Ageing and Alzheimer’s Disease
Ai, R., Jin, X., Tang, B., Yang, G., Niu, Z., & Fang, E. F. (2021) · Springer eBooks · doi:10.1007/978-3-030-58080-3_74-1 · Cited by 3 · see citing works
Qiu, Y., Hou, Y., Zhou, Y., Xu, J., Bykova, M., Leverenz, J. B., Pieper, A. A., Nussinov, R., Caldwell, J., Brown, J. M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.20.508759 · Cited by 3 · see citing works
The role of DAP12 in immune-related inflammatory diseases
Lu, J., Shi, L., Jin, G., Yang, Y., Zhu, F., & Zhou, G. (2026) · Inflammation Research · doi:10.1007/s00011-026-02256-z · Cited by 2 · see citing works
Brain Immunoinformatics: A Symmetrical Link between Informatics, Wet Lab and the Clinic
Papageorgiou, I. E., Bittner, D., Psychogios, M., & Hadjidemetriou, S. (2021) · Symmetry · doi:10.3390/sym13112168 · Cited by 2 · see citing works
Zhang, H., Zhang, Y., & Li, G. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1584005 · Cited by 1 · see citing works
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 · see citing works
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M. R., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01251-3 · Cited by 1 · see citing works
Scarpa, J. R., & Mincer, J. S. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.10.015 · Cited by 1 · see citing works
Carbajosa, G., Malki, K., Lawless, N., Wang, H., Ryder, J. W., Wozniak, E., Wood, K., Mein, C. A., Hodgkinson, A., Dobson, R., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.16.452732 · Cited by 1 · see citing works
Young, R. (2021) · Wiley eBooks · doi:10.1002/0471266949.bmc242.pub2
Ai, R., Jin, X., Tang, B., Yang, G., Niu, Z., & Fang, E. F. (2022) · Springer eBooks · doi:10.1007/978-3-030-64573-1_74
Yao, H., Liu, C., Jin, L., & Song, Y. (2023) · Research Square · doi:10.21203/rs.3.rs-3412881/v1
REVOLUTIONIZING ALZHEIMER’S THERAPEUTICS: FROM MICROTECHNOLOGIES TO AI-DRIVEN INNOVATIONS
Lahiri, A., Balamuralidhara, V., Manohar, S. K., & R., A. A. (2025) · International Journal of Applied Pharmaceutics · doi:10.22159/ijap.2025v17i3.53726
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26061505
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735733
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735739
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735730
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735724
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26061538
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735721
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735727
Juvenal, G. D. A., Meinerz, C., Ayupe, A. C., Campos, H. C., Reis, E. M., Longo, B. M., Pillat, M. M., & Ulrich, H. (2024) · Figshare · doi:10.6084/m9.figshare.26735736
Hemonnot-Girard, A.-L. (2021) · theses.fr (ABES) · doi:10.70675/9c8a4775zd774z494ez9bbazf7566faefa8f
- Authors
- Haure-Mirande, J.-V., Wang, M., Audrain, M., Fanutza, T., Kim, S. H., Heja, S., Readhead, B., Dudley, J. T., Blitzer, R. D., Schadt, E. E., Zhang, B., Gandy, S., & Ehrlich, M. E.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Sema4 (United States) (US)
- Corresponding author
- Zhang, Bin
- Gandy, Sam
- Ehrlich, Michelle E.
- ORCID
- Venue
- Molecular Psychiatry
- Published
- 2018-10-03
- Volume
- 24
- Issue
- 3
- Pages
- 431-446
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC6494440
- OpenAlex
- W2895288124
- Cited by
- 84
- References
- 64
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 20 · 2023: 5 · 2022: 14 · 2021: 16 · 2020: 13 · 2019: 5 · 2018: 1
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Update notices
- correction (2018-11-21)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- BrightFocus Foundation (A2018253F, A2016482F)
- Cure Alzheimer's Fund (U01AG046170)
- National Institute on Aging (AG 005138, R56AG058469, R01AG017917, R01AG057907, RF1AG058469, U01AG046170, P50AG005138, P30AG010161, RF1AG057443, RF1AG059319, R01AG061894, P30AG066514)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- sporadic Alzheimer's disease, late-onset Alzheimer's disease, TREM2, microglia, disease-associated microglia, complement system, causal networks, microglial transcriptome, learning and memory impairment, therapeutic target
- MeSH terms
- Alzheimer Disease, Amyloidosis, Animals, Brain, Disease Models, Animal, Female, Humans, Male, Membrane Proteins, Mice, Inbred C57BL, Phenotype, Amyloid beta-Peptides, Amyloid beta-Protein Precursor, Mice, Knockout, Adaptor Proteins, Signal Transducing, Mice, Gene Regulatory Networks, Pathology, Molecular, Plaque, Amyloid, Transcriptome
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