The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Autophagy enables microglia to engage amyloid plaques and prevents microglial senescence
Open accessAbstract
Dysfunctional autophagy has been implicated in the pathogenesis of Alzheimer's disease (AD). Previous evidence suggested disruptions of multiple stages of the autophagy-lysosomal pathway in affected neurons. However, whether and how deregulated autophagy in microglia, a cell type with an important link to AD, contributes to AD progression remains elusive. Here we report that autophagy is activated in microglia, particularly of disease-associated microglia surrounding amyloid plaques in AD mouse models. Inhibition of microglial autophagy causes disengagement of microglia from amyloid plaques, suppression of disease-associated microglia, and aggravation of neuropathology in AD mice. Mechanistically, autophagy deficiency promotes senescence-associated microglia as evidenced by reduced proliferation, increased Cdkn1a/p21 Cip1, dystrophic morphologies and senescence-associated secretory phenotype. Pharmacological treatment removes autophagy-deficient senescent microglia and alleviates neuropathology in AD mice. Our study demonstrates the protective role of microglial autophagy in regulating the homeostasis of amyloid plaques and preventing senescence; removal of senescent microglia is a promising therapeutic strategy.
Overview
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
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“Recent studies have shown that microglial autophagy supports amyloid plaque engagement and helps prevent senescence-associated microglial states [ 62 ].”
From Restores Aβ Clearance by Overcoming PCSK9–LRP1 Dysregulation and TRIB3‐Mediated Autophagy Blockade in Alzheimer's Disease (2026) · cites this paper as [62]
The cited source says what the claim attributes to it.
In the citing paper
“A recent report provides evidence that autophagy plays an important role in regulating microglial activation (i.e., DAM phenotype induction)”
From APOE Christchurch enhances a disease-associated microglial response to plaque but suppresses response to tau pathology (2025) · cites this paper as [78]
The cited source says what the claim attributes to it.
In the citing paper
“deficiency in autophagy leads to senescence, reduces DAMs, impairs Aβ clustering around plaques, and aggravates AD pathology [78].”
From APOE Christchurch enhances a disease-associated microglial response to plaque but suppresses response to tau pathology (2025) · cites this paper as [78]
In the citing paper
“Deletion of autophagy gene Atg7 led to impaired ability of microglia to engage Aβ plaques and promoted microglial senescence, which was reversed by administration of senolytic drugs.114”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [114]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Martinez, J., Malireddi, R. K. S., Lu, Q., Cunha, L. D., Pelletier, S., Gingras, S., Orchard, R., Guan, J.-L., Tan, H., Peng, J., et al. (2015) · Nature Cell Biology · doi:10.1038/ncb3192 · Cited by 758
Self-citationRetractedModerated 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
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y., Jiang, Q. L., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,351
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
Kim, D., Paggi, J. M., Park, C., Bennett, C., & Salzberg, S. L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0201-4 · Cited by 15,022
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
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
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
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
Cui, C., Cui, J., Jin, F., Cui, Y., Li, R., Jiang, X., Tian, Y., Wang, R. C., Jiang, P., & Gao, J. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000479571 · Cited by 5,214
Pankiv, S., Clausen, T. H., Lamark, T., Brech, A., Bruun, J.-A., Outzen, H., Øvervatn, A., Bjørkøy, G., & Johansen, T. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m702824200 · Cited by 4,578
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530
Bjørkøy, G., Lamark, T., Brech, A., Outzen, H., Perander, M., Øvervatn, A., Stenmark, H., & Johansen, T. (2005) · The Journal of Cell Biology · doi:10.1083/jcb.200507002 · Cited by 3,276
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
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543
Hammond, T. R., Dufort, C., Dissing-Olesen, L., Giera, S., Young, A., Wysoker, A., Walker, A. J., Segel, M., Nemesh, J., Saunders, A., et al. (2018) · doi:10.1101/406140 · Cited by 2,225
Mizushima, N., Yamamoto, A., Matsui, M., Yoshimori, T., & Ohsumi, Y. (2004) · Molecular Biology of the Cell · doi:10.1091/mbc.e03-09-0704 · Cited by 2,105
A protein conjugation system essential for autophagy
Mizushima, N., Noda, T., Yoshimori, T., Tanaka, Y., Ishii, T., George, M. D., Klionsky, D. J., Ohsumi, M., & Ohsumi, Y. (1998) · Nature · doi:10.1038/26506 · Cited by 1,758
Extensive Involvement of Autophagy in Alzheimer Disease: An Immuno-Electron Microscopy Study
Nixon, R. A., Wegiel, J., Kumar, A., Yu, W. H., Peterhoff, C., Cataldo, A., & Cuervo, A. M. (2005) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/64.2.113 · Cited by 1,588
Autophagy maintains stemness by preventing senescence
García-Prat, L., Martínez-Vicente, M., Perdiguero, E., Ortet, L., Rodríguez-Ubreva, J., Rebollo, E., Ruiz-Bonilla, V., Gutarra, S., Ballestar, E., Serrano, A. L., et al. (2016) · Nature · doi:10.1038/nature16187 · Cited by 1,355
A proteomic atlas of senescence-associated secretomes for aging biomarker development
Basisty, N., Kale, A., Jeon, O. H., Kuehnemann, C., Payne, T., Rao, C., Holtz, A., Shah, S., Sharma, V., Ferrucci, L., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000599 · Cited by 1,348
Autophagy in healthy aging and disease
Aman, Y., Schmauck-Medina, T., Hansen, M., Morimoto, R. I., Simon, A. K., Bjedov, I., Palikaras, K., Simonsen, A., Johansen, T., Tavernarakis, N., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00098-4 · Cited by 1,313
Clearance of senescent glial cells prevents tau-dependent pathology and cognitive decline
Bussian, T. J., Aziz, A., Meyer, C. F., Swenson, B. L., van Deursen, J. M., & Baker, D. J. (2018) · Nature · doi:10.1038/s41586-018-0543-y · Cited by 1,289
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
Beclin 1 Forms Two Distinct Phosphatidylinositol 3-Kinase Complexes with Mammalian Atg14 and UVRAG
Itakura, E., Kishi, C., Inoue, K., & Mizushima, N. (2008) · Molecular Biology of the Cell · doi:10.1091/mbc.e08-01-0080 · Cited by 1,176
Van Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0393-4 · Cited by 1,074
Zhong, Y., Wang, Q. J., Li, X., Yan, Y., Backer, J. M., Chait, B. T., Heintz, N., & Yue, Z. (2009) · Nature Cell Biology · doi:10.1038/ncb1854 · Cited by 1,005
Self-citationZhang, P., Kishimoto, Y., Grammatikakis, I., Gottimukkala, K., Cutler, R. G., Zhang, S., Abdelmohsen, K., Bohr, V. A., Misra Sen, J., Gorospe, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0372-9 · Cited by 977
Spangenberg, E., Severson, P. L., Hohsfield, L. A., Crapser, J., Zhang, J., Burton, E. A., Zhang, Y., Spevak, W., Lin, J., Phan, N. Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11674-z · Cited by 939
TREM2-mediated early microglial response limits diffusion and toxicity of amyloid plaques
Wang, Y., Ulland, T. K., Ulrich, J. D., Song, W., Tzaferis, J. A., Hole, J. T., Yuan, P., Mahan, T. E., Shi, Y., Gilfillan, S., et al. (2016) · Journal of Experimental Medicine · doi:10.1084/jem.20151948 · Cited by 840
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
Streit, W. J., Braak, H., Xue, Q.-S., & Bechmann, I. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0556-6 · Cited by 727
Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease
Olah, M., Menon, V., Habib, N., Taga, M. F., Ma, Y., Yung, C. J., Cimpean, M., Khairallah, A., Coronas-Samano, G., Sankowski, R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19737-2 · Cited by 722
VolcaNoseR is a web app for creating, exploring, labeling and sharing volcano plots
Goedhart, J., & Luijsterburg, M. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-76603-3 · Cited by 718
Autophagy mediates degradation of nuclear lamina
Dou, Z., Xu, C., Donahue, G., Shimi, T., Pan, J.-A., Zhu, J., Ivanov, A., Capell, B. C., Drake, A. M., Shah, P. P., et al. (2015) · Nature · doi:10.1038/nature15548 · Cited by 655
Lee, J.-H., Yang, D.-S., Goulbourne, C. N., Im, E., Stavrides, P., Pensalfini, A., Chan, H., Bouchet-Marquis, C., Bleiwas, C., Berg, M. J., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01084-8 · Cited by 638
Microglia clear neuron-released α-synuclein via selective autophagy and prevent neurodegeneration
Choi, I., Zhang, Y., Seegobin, S. P., Pruvost, M., Wang, Q., Purtell, K., Zhang, B., & Yue, Z. (2020) · Nature Communications · doi:10.1038/s41467-020-15119-w · Cited by 549
Self-citationHeckmann, B. L., Teubner, B. J. W., Tummers, B., Boada-Romero, E., Harris, L., Yang, M., Guy, C. S., Zakharenko, S. S., & Green, D. R. (2019) · Cell · doi:10.1016/j.cell.2019.05.056 · Cited by 503
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
SIRT1 is downregulated by autophagy in senescence and ageing
Xu, C., Wang, L., Fozouni, P., Evjen, G., Chandra, V., Jiang, J., Lu, C., Nicastri, M. C., Bretz, C. L., Winkler, J. D., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-00579-5 · Cited by 478
Mapping microglia states in the human brain through the integration of high-dimensional techniques
Sankowski, R., Böttcher, C., Masuda, T., Geirsdottir, L., Sagar, Sindram, E., Seredenina, T., Muhs, A., Scheiwe, C., Shah, M. J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0532-y · Cited by 449
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
Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation
Srinivasan, K., Friedman, B. A., Etxeberria, A., Huntley, M. A., van der Brug, M. P., Foreman, O., Paw, J. S., Modrusan, Z., Beach, T. G., Serrano, G. E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107843 · Cited by 427
Microglia turnover with aging and in an Alzheimer’s model via long-term in vivo single-cell imaging
Füger, P., Hefendehl, J. K., Veeraraghavalu, K., Wendeln, A.-C., Schlosser, C., Obermüller, U., Wegenast-Braun, B. M., Neher, J. J., Martus, P., Kohsaka, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4631 · Cited by 401
A multidimensional systems biology analysis of cellular senescence in aging and disease
Avelar, R. A., Ortega, J. G., Tacutu, R., Tyler, E. J., Bennett, D., Binetti, P., Budovsky, A., Chatsirisupachai, K., Johnson, E., Murray, A., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-01990-9 · Cited by 399
Autophagy in microglia degrades extracellular β-amyloid fibrils and regulates the NLRP3 inflammasome
Cho, M.-H., Cho, K., Kang, H.-J., Jeon, E.-Y., Kim, H.-S., Kwon, H.-J., Kim, H.-M., Kim, D.-H., & Yoon, S.-Y. (2014) · Autophagy · doi:10.4161/auto.29647 · Cited by 395
Streit, W. J., Xue, Q.-S., Tischer, J., & Bechmann, I. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0142-6 · Cited by 317
Pickford, F., Masliah, E., Britschgi, M., Lucin, K., Narasimhan, R., Jaeger, P. A., Small, S., Spencer, B., Rockenstein, E., Levine, B., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci33585 · Cited by 268
Neuroprotective Effect of Quercetin Against the Detrimental Effects of LPS in the Adult Mouse Brain
Khan, A., Ali, T., Rehman, S. U., Khan, M. S., Alam, S. I., Ikram, M. A., Muhammad, T., Saeed, K. M., Badshah, H., & Kim, M. O. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01383 · Cited by 265
Proteomic landscape of Alzheimer’s Disease: novel insights into pathogenesis and biomarker discovery
Bai, B., Vanderwall, D., Li, Y., Wang, X., Poudel, S., Wang, H., Dey, K. K., Chen, P., Yang, K., & Peng, J. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00474-z · Cited by 260
Self-citationCellular senescence and Alzheimer disease: the egg and the chicken scenario
Saez-Atienzar, S., & Masliah, E. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0325-z · Cited by 257
Autophagy Impairment Induces Premature Senescence in Primary Human Fibroblasts
Kang, H. T., Lee, K. B., Kim, S. Y., Choi, H. R., & Park, S. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023367 · Cited by 254
Sobue, A., Komine, O., Hara, Y., Endo, F., Mizoguchi, H., Watanabe, S., Murayama, S., Saito, T., Saido, T. C., Sahara, N., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-01099-x · Cited by 253
APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease
Nguyen, A. T., Wang, K., Hu, G., Wang, X., Miao, Z., Azevedo, J. A., Suh, E., Van Deerlin, V. M., Choi, D., Roeder, K., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02200-3 · Cited by 241
Endo-lysosomal dysregulations and late-onset Alzheimer’s disease: impact of genetic risk factors
Van Acker, Z. P., Bretou, M., & Annaert, W. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0323-7 · Cited by 222
Autophagy and Its Normal and Pathogenic States in the Brain
Yamamoto, A., & Yue, Z. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014149 · Cited by 204
Self-citationGonzales, M. M., Garbarino, V. R., Marques Zilli, E., Petersen, R. C., Kirkland, J. L., Tchkonia, T., Musi, N., Seshadri, S., Craft, S., & Orr, M. E. (2022) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.62 · Cited by 203
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
Tammineni, P., Ye, X., Feng, T., Aikal, D., & Cai, Q. (2017) · eLife · doi:10.7554/elife.21776 · Cited by 175
Shahidehpour, R. K., Higdon, R. E., Crawford, N. G., Neltner, J. H., Ighodaro, E. T., Patel, E., Price, D., Nelson, P. T., & Bachstetter, A. D. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.12.003 · Cited by 173
Xu, Y., Propson, N. E., Du, S., Xiong, W., & Zheng, H. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023418118 · Cited by 171
Ryu, K., Lee, H., Woo, H., Kang, R.-J., Han, K., Park, H., Lee, S. M., Lee, J., Jeong, Y. J., Nam, H.-W., et al. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1561-x · Cited by 161
Chatsirisupachai, K., Palmer, D. H., Ferreira, S., & de Magalhães, J. P. (2019) · Aging Cell · doi:10.1111/acel.13041 · Cited by 152
Microglial autophagy–associated phagocytosis is essential for recovery from neuroinflammation
Berglund, R., Guerreiro-Cacais, A. O., Adzemovic, M. Z., Zeitelhofer, M., Lund, H., Ewing, E., Ruhrmann, S., Nutma, E., Parsa, R., Thessen-Hedreul, M., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abb5077 · Cited by 149
Bertolo, A., Baur, M., Guerrero, J., Pötzel, T., & Stoyanov, J. V. (2019) · Scientific Reports · doi:10.1038/s41598-019-38546-2 · Cited by 116
Xu, P., Wang, M., Song, W.-M., Wang, Q., Yuan, G.-C., Sudmant, P. H., Zare, H., Tu, Z., Orr, M. E., & Zhang, B. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00507-7 · Cited by 114
Self-citationLachance, V., Wang, Q., Sweet, E., Choi, I., Cai, C.-Z., Zhuang, X.-X., Zhang, Y., Jiang, J. L., Blitzer, R. D., Bozdagi-Gunal, O., et al. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0342-4 · Cited by 96
Self-citationGenetic variation within endolysosomal system is associated with late-onset Alzheimer’s disease
Gao, S., Casey, A., Sargeant, T. J., & Mäkinen, V. (2018) · Brain · doi:10.1093/brain/awy197 · Cited by 76
Quantitative Protein Analysis by Mass Spectrometry
Pagala, V., High, A. A., Wang, X., Tan, H., Kodali, K., Mishra, A., Kavdia, K., Xu, Y., Wu, Z., & Peng, J. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2425-7_17 · Cited by 66
Self-citationMolecular estimation of neurodegeneration pseudotime in older brains
Mukherjee, S., Heath, L. M., Preuß, C., Jayadev, S., Garden, G. A., Greenwood, A. K., Sieberts, S. K., Jager, P. L. D., Ertekin‐Taner, N., Carter, G. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19622-y · Cited by 62
Detection of MicroRNAs in Microglia by Real-time PCR in Normal CNS and During Neuroinflammation
Veremeyko, T., Starossom, S. C., Weiner, H. L., & Ponomarev, E. D. (2012) · Journal of Visualized Experiments · doi:10.3791/4097 · Cited by 37
Hernández-Silva, D., Cantón-Sandoval, J., Martínez-Navarro, F. J., Pérez‐Sánchez, H., de Oliveira, S., Mulero, V., Alcaraz‐Pérez, F., & Cayuela, M. L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810468 · Cited by 25
A Review of APOE Genotype-Dependent Autophagic Flux Regulation in Alzheimer’s Disease
Chen, H., Chen, F., Zhang, M., Chen, Y., Cui, L., & Liang, C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210602 · Cited by 15
Cited by
Sorted by citations
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193
Mechanisms of autophagy–lysosome dysfunction in neurodegenerative diseases
Nixon, R. A., & Rubinsztein, D. C. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00757-5 · Cited by 435
Autophagy, aging, and age-related neurodegeneration
Palmer, J. E., Wilson, N., Son, S. M., Obrocki, P., Wróbel, L., Rob, M., Takla, M., Korolchuk, V. I., & Rubinsztein, D. C. (2024) · Neuron · doi:10.1016/j.neuron.2024.09.015 · Cited by 277
Cellular senescence in brain aging and neurodegeneration
dos Santos, L. M., Trombetta-Lima, M., Eggen, B. J. L., & Demaria, M. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102141 · Cited by 166
Emerging role of senescent microglia in brain aging-related neurodegenerative diseases
Rim, C., You, M., Nahm, M., & Kwon, M. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00402-3 · Cited by 158
Metadata
- Authors
- Choi, I., Wang, M., Yoo, S., Xu, P., Seegobin, S. P., Li, X., Han, X., Wang, Q., Peng, J., Zhang, B., & Yue, Z.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Sema4 (United States) (US)
- St. Jude Children's Research Hospital (US)
- Corresponding author
- Yue, Zhenyu
- ORCID
- Venue
- Nature Cell Biology
- Published
- 2023-05-25
- Volume
- 25
- Issue
- 7
- Pages
- 963-974
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- PMC
- PMC10950302
- OpenAlex
- W4378212353
- Cited by
- 202
- References
- 76
- Citations by year
- 2026: 49 · 2025: 75 · 2024: 69 · 2023: 9
- FWCI
- 20.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Keywords
- autophagy, microglia, Alzheimer's disease, amyloid plaques, microglial senescence, disease-associated microglia, senescence-associated secretory phenotype, autophagy-lysosome pathway, senolytic therapy, microglial proliferation
- MeSH terms
- Alzheimer Disease, Animals, Autophagy, Disease Models, Animal, Mice, Transgenic, Neurons, Microglia, Mice, Plaque, Amyloid
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