Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer’s disease
Open accessPublished version of a preprint
Abstract
Tau aggregation in neurofibrillary tangles (NFTs) is closely associated with neurodegeneration and cognitive decline in Alzheimer's disease (AD). However, the molecular signatures that distinguish between aggregation-prone and aggregation-resistant cell states are unknown. We developed methods for the high-throughput isolation and transcriptome profiling of single somas with NFTs from the human AD brain, quantified the susceptibility of 20 neocortical subtypes for NFT formation and death, and identified both shared and cell-type-specific signatures. NFT-bearing neurons shared a marked upregulation of synaptic transmission-related genes, including a core set of 63 genes enriched for synaptic vesicle cycling. Oxidative phosphorylation and mitochondrial dysfunction were highly cell-type dependent. Apoptosis was only modestly enriched, and the susceptibilities of NFT-bearing and NFT-free neurons for death were highly similar. Our analysis suggests that NFTs represent cell-type-specific responses to stress and synaptic dysfunction. We provide a resource for biomarker discovery and the investigation of tau-dependent and tau-independent mechanisms of neurodegeneration.
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?
Studies have shown that RORB-expressing excitatory neurons in the EC and the frontal cortex, as well as SST-positive interneurons in the frontal cortex, are more prone to neuronal susceptibility than other parts of the brain.
“Studies have shown that RORB-expressing excitatory neurons in the EC [45] and the frontal cortex [56], as well as SST-positive interneurons in the frontal cortex [8], are more prone to neuronal susceptibility than other parts of the brain.”
From Abnormal accumulation of extracellular vesicles in hippocampal dystrophic axons and regulation by the primary cilia in Alzheimer's disease (2023) · cites this paper as [56]
The Results section on neuronal death in the AD prefrontal cortex reports a small but statistically significant increase in SST interneurons’ susceptibility to cell death and describes them as the interneurons most susceptible to death. The comparison is among neuronal subtypes in prefrontal area BA9, not between the frontal cortex and other brain regions; no page number is available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIt is well known that hyperphosphorylation of tau proteins leads to their accumulation into neurofibrillary tangles, which can potentially destabilize microtubules.
“It is well known that hyperphosphorylation of tau proteins leads to their accumulation into neurofibrillary tangles, which can potentially destabilize microtubules [27, 56].”
From Abnormal accumulation of extracellular vesicles in hippocampal dystrophic axons and regulation by the primary cilia in Alzheimer's disease (2023) · cites this paper as [56]
The Introduction describes neurofibrillary tangles as containing hyperphosphorylated tau aggregates, supporting that association. It does not establish that hyperphosphorylation causes tau to accumulate into tangles or that the tangles destabilize microtubules; its references to microtubule-related pathways and dynamics do not make that causal claim. (LLM, conf=0.84)
Experimental — accuracy not yet measuredRBM25 is downregulated in tangle-bearing AT8+ neurons in AD brains.
“These findings are consistent with previous studies showing that RBM25 is downregulated in tangle-bearing AT8+ neurons in AD brains35.”
From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [35]
The Results sections compare AT8+ and AT8− neurons and report expression changes for several named genes, but the passages found do not mention RBM25. Searches for “RBM25” and “RNA-binding motif protein 25” found no passage establishing its downregulation in tangle-bearing neurons. (LLM, conf=0.73)
Experimental — accuracy not yet measuredPrevious snRNA-seq profiling revealed lower RBM25 expression in AT8+ vs. AT8- neurons of AD brains.
“Consistent with protective effects of RBM25, previous snRNA-seq profiling revealed lower RBM25 expression in AT8+ vs. AT8- neurons of AD brains35.”
From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [35]
The Results section on the census of neuronal subtypes reports profiling AT8+ and AT8− somas from AD donors, and the section on NFT-specific transcriptomic changes reports comparing gene expression between those groups. Neither passage gives an RBM25 result; searches for “RBM25” and for downregulated RNA-binding proteins found no passage establishing lower RBM25 expression in AT8+ neurons. (LLM, conf=0.72)
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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · 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
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 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · 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
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Raudvere, U., Kolberg, L., Kuzmin, I., Arak, T., Adler, P., Peterson, H., & Vilo, J. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz369 · Cited by 5,045 · see citing works
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Bailey, T. L., & Elkan, C. (1994) · PubMed · Cited by 4,933 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
Hafemeister, C., & Satija, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1874-1 · Cited by 4,479 · see citing works
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420 · 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
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684 · see citing works
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345 · see citing works
Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0844-5 · Cited by 3,159 · see citing works
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092 · 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
The integrated stress response
Pakos‐Zebrucka, K., Koryga, I., Mnich, K., Ljujic, M., Samali, A., & Gorman, A. M. (2016) · The EMBO Reports · doi:10.15252/embr.201642195 · Cited by 2,659 · 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
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Tau in physiology and pathology
Wang, Y., & Mandelkow, E. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.1 · Cited by 2,251 · see citing works
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235 · see citing works
Tau-mediated neurodegeneration in Alzheimer’s disease and related disorders
Ballatore, C., Lee, V. M.-Y., & Trojanowski, J. Q. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2194 · Cited by 2,174 · see citing works
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
Nelson, P. T., Alafuzoff, I., Bigio, E. H., Bouras, C., Braak, H., Cairns, N. J., Castellani, R. J., Crain, B. J., Davies, P., Tredici, K. D., et al. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31825018f7 · Cited by 2,050 · see citing works
The Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990 · see citing works
TRANSFAC(R): transcriptional regulation, from patterns to profiles
Matys, V. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg108 · Cited by 1,985 · see citing works
Reimand, J., Isserlin, R., Voisin, V., Kucera, M., Tannus-Lopes, C., Rostamianfar, A., Wadi, L., Meyer, M., Wong, J., Xu, C., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0103-9 · Cited by 1,970 · see citing works
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · see citing works
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works
The Encyclopedia of DNA elements (ENCODE): data portal update
Davis, C. A., Hitz, B. C., Sloan, C. A., Chan, E. T., Davidson, J. M., Gabdank, I., Hilton, J. A., Jain, K., Baymuradov, U. K., Narayanan, A. K., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1081 · Cited by 1,717 · see citing works
Shankar, G. M., Bloodgood, B. L., Townsend, M., Walsh, D. M., Selkoe, D. J., & Sabatini, B. L. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4970-06.2007 · Cited by 1,592 · see citing works
Cellular prion protein mediates impairment of synaptic plasticity by amyloid-β oligomers
Laurén, J., Gimbel, D. A., Nygaard, H. B., Gilbert, J. W., & Strittmatter, S. M. (2009) · Nature · doi:10.1038/nature07761 · Cited by 1,560 · see citing works
Primary age-related tauopathy (PART): a common pathology associated with human aging
Crary, J. F., Trojanowski, J. Q., Schneider, J. A., Abisambra, J. F., Abner, E. L., Alafuzoff, I., Arnold, S. E., Attems, J., Beach, T. G., Bigio, E. H., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1349-0 · Cited by 1,467 · see citing works
A survey of human brain transcriptome diversity at the single cell level
Darmanis, S., Sloan, S. A., Zhang, Y., Enge, M., Caneda, C., Shuer, L. M., Hayden Gephart, M. G., Barres, B. A., & Quake, S. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507125112 · Cited by 1,401 · see citing works
Rovelet‐Lecrux, A., Hannequin, D., Raux, G., Meur, N. L., Laquerrière, A., Vital, A., Dumanchin‐Njock, C., Feuillette, S., Brice, A., Vercelletto, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1718 · Cited by 1,249 · see citing works
Synergy between amyloid-β and tau in Alzheimer’s disease
Busche, M. A., & Hyman, B. T. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0687-6 · Cited by 1,242 · see citing works
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215 · see citing works
PET Imaging of Tau Deposition in the Aging Human Brain
Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214 · see citing works
A Transcriptively Active Complex of APP with Fe65 and Histone Acetyltransferase Tip60
Cao, X., & Südhof, T. C. (2001) · Science · doi:10.1126/science.1058783 · Cited by 1,202 · see citing works
The Intersection of Amyloid Beta and Tau at Synapses in Alzheimer’s Disease
Spires-Jones, T. L., & Hyman, B. T. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.004 · Cited by 1,201 · see citing works
Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease
Ossenkoppele, R., Schonhaut, D. R., Schöll, M., Lockhart, S. N., Ayakta, N., Baker, S. L., O’Neil, J. P., Janabi, M., Lazaris, A., Cantwell, A., et al. (2016) · Brain · doi:10.1093/brain/aww027 · Cited by 1,185 · see citing works
Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease
Mattsson, N., Andreasson, U., Zetterberg, H., Blennow, K., & Initiative, F. T. A. D. N. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.6117 · Cited by 1,070 · see citing works
Massively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069 · see citing works
Network abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022 · see citing works
Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
Lake, B. B., Ai, R., Kaeser, G. E., Salathia, N. S., Yung, Y. C., Liu, R., Wildberg, A., Gao, D., Fung, H.-L., Chen, S., et al. (2016) · Science · doi:10.1126/science.aaf1204 · Cited by 957 · see citing works
Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · see citing works
Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
Chen, W.-T., Lu, A., Craessaerts, K., Pavie, B., Sala Frigerio, C., Corthout, N., Qian, X., Laláková, J., Kühnemund, M., Voytyuk, I., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.038 · Cited by 949 · see citing works
SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse
Koopmans, F., van Nierop, P., Andres-Alonso, M., Byrnes, A., Cijsouw, T., Coba, M. P., Cornelisse, L. N., Farrell, R. J., Goldschmidt, H. L., Howrigan, D. P., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.002 · Cited by 938 · see citing works
Dominantly Inherited Alzheimer Network, Preische, O., Schultz, S. A., Apel, A., Kuhle, J., Kaeser, S. A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0304-3 · Cited by 927 · see citing works
Metabolic Regulation of Brain Aβ by Neprilysin
Iwata, N., Tsubuki, S., Takaki, Y., Shirotani, K., Lu, B., Gerard, N., Gerard, C., Hama, E., Lee, H., & Saido, T. (2001) · Science · doi:10.1126/science.1059946 · Cited by 894 · see citing works
Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study
Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1424 · Cited by 865 · see citing works
Neuronal activity enhances tau propagation and tau pathology in vivo
Wu, J. W., Hussaini, S. A., Bastille, I. M., Rodriguez, G. A., Mrejeru, A., Rilett, K., Sanders, D. W., Cook, C., Fu, H., Boonen, R. A. C. M., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4328 · Cited by 820 · see citing works
Hierarchical organization of cortical and thalamic connectivity
Harris, J. A., Mihalas, S., Hirokawa, K. E., Whitesell, J. D., Choi, H., Bernard, A., Bohn, P., Caldejon, S., Casal, L., Cho, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1716-z · Cited by 785 · see citing works
Tau pathology and neurodegeneration contribute to cognitive impairment in Alzheimer’s disease
Bejanin, A., Schonhaut, D. R., La Joie, R., Kramer, J. H., Baker, S. L., Sosa, N., Ayakta, N., Cantwell, A., Janabi, M., Lauriola, M., et al. (2017) · Brain · doi:10.1093/brain/awx243 · Cited by 778 · see citing works
Bias, robustness and scalability in single-cell differential expression analysis
Soneson, C., & Robinson, M. D. (2018) · Nature Methods · doi:10.1038/nmeth.4612 · Cited by 770 · see citing works
REST and stress resistance in ageing and Alzheimer’s disease
Lu, T., Aron, L., Zullo, J., Pan, Y., Kim, H., Chen, Y., Yang, T.-H., Kim, H., Drake, D., Liu, X., et al. (2014) · Nature · doi:10.1038/nature13163 · Cited by 760 · see citing works
Mattsson, N., Cullen, N. C., Andreasson, U., Zetterberg, H., & Blennow, K. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.0765 · Cited by 726 · see citing works
Tau PTM Profiles Identify Patient Heterogeneity and Stages of Alzheimer’s Disease
Wesseling, H., Mair, W., Kumar, M., Schlaffner, C. N., Tang, S., Beerepoot, P., Fatou, B., Guise, A. J., Cheng, L., Takeda, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.029 · Cited by 688 · see citing works
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism
Parikshak, N. N., Swarup, V., Belgard, T. G., Irimia, M., Ramaswami, G., Gandal, M. J., Hartl, C., Leppa, V., Ubieta, L. D. L. T., Huang, J., et al. (2016) · Nature · doi:10.1038/nature20612 · Cited by 685 · see citing works
Self-citationDickey, C. A., Kamal, A., Lundgren, K., Klosak, N., Bailey, R. M., Dunmore, J., Ash, P., Shoraka, S., Zlatkovic, J., Eckman, C. B., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29715 · Cited by 642 · see citing works
A vicious cycle of β amyloid−dependent neuronal hyperactivation
Zott, B., Simon, M. M., Hong, W., Unger, F., Chen-Engerer, H.-J., Frosch, M. P., Sakmann, B., Walsh, D. M., & Konnerth, A. (2019) · Science · doi:10.1126/science.aay0198 · Cited by 640 · see citing works
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
Bakken, T. E., Hodge, R. D., Miller, J. A., Yao, Z., Nguyen, T. N., Aevermann, B., Barkan, E., Bertagnolli, D., Casper, T., Dee, N., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209648 · Cited by 608 · see citing works
Arboleda-Velasquez, J. F., Lopera, F., O’Hare, M., Delgado-Tirado, S., Marino, C., Chmielewska, N., Saez-Torres, K. L., Amarnani, D., Schultz, A. P., Sperling, R. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0611-3 · Cited by 598 · see citing works
Selective vulnerability in neurodegenerative diseases
Fu, H., Hardy, J., & Duff, K. E. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0221-2 · Cited by 585 · see citing works
The preclinical phase of the pathological process underlying sporadic Alzheimer’s disease
Braak, H., & Del Tredici, K. (2015) · Brain · doi:10.1093/brain/awv236 · Cited by 540 · see citing works
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Vogel, J. W., Iturria‐Medina, Y., Strandberg, O. T., Smith, R. A., Levitis, E., Evans, A. C., Hansson, O., Initiative, A. D. N., Weiner, M. W., Aisen, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15701-2 · Cited by 521 · see citing works
Tau promotes neurodegeneration through global chromatin relaxation
Frost, B., Hemberg, M., Lewis, J., & Feany, M. B. (2014) · Nature Neuroscience · doi:10.1038/nn.3639 · Cited by 519 · see citing works
Caspase activation precedes and leads to tangles
de Calignon, A., Fox, L. M., Pitstick, R., Carlson, G. A., Bacskai, B. J., Spires-Jones, T. L., & Hyman, B. T. (2010) · Nature · doi:10.1038/nature08890 · Cited by 517 · see citing works
Mostafavi, S., Gaiteri, C., Sullivan, S. E., White, C. C., Tasaki, S., Xu, J., Taga, M., Klein, H.-U., Patrick, E., Komashko, V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0154-9 · Cited by 509 · see citing works
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Leng, K., Li, E., Eser, R., Piergies, A., Sit, R., Tan, M., Neff, N., Li, S. H., Rodriguez, R. D., Suemoto, C. K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00764-7 · Cited by 485 · see citing works
Plaisier, S. B., Taschereau, R., Wong, J. A., & Graeber, T. G. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq636 · Cited by 468 · see citing works
Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons
Krishnaswami, S. R., Grindberg, R. V., Novotny, M., Venepally, P., Lacar, B., Bhutani, K., Linker, S. B., Pham, S., Erwin, J. A., Miller, J. A., et al. (2016) · Nature Protocols · doi:10.1038/nprot.2016.015 · Cited by 445 · see citing works
Synapses and Alzheimer's Disease
Sheng, M., Sabatini, B. L., & Sudhof, T. C. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005777 · Cited by 436 · see citing works
Tau association with synaptic vesicles causes presynaptic dysfunction
Zhou, L., McInnes, J., Wierda, K., Holt, M., Herrmann, A. G., Jackson, R. J., Wang, Y.-C., Swerts, J., Beyens, J., Miskiewicz, K., et al. (2017) · Nature Communications · doi:10.1038/ncomms15295 · Cited by 434 · see citing works
Zeng, H., Shen, E. H., Hohmann, J. G., Oh, S. W., Bernard, A., Royall, J. J., Glattfelder, K. J., Sunkin, S. M., Morris, J. A., Guillozet-Bongaarts, A. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.052 · Cited by 426 · see citing works
Schwarz, A. J., Yu, P., Miller, B. B., Shcherbinin, S., Dickson, J., Navitsky, M., Joshi, A. D., Devous, M. D., & Mintun, M. S. (2016) · Brain · doi:10.1093/brain/aww023 · Cited by 425 · see citing works
Detection of functional DNA motifs via statistical over-representation
Frith, M. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh299 · Cited by 424 · see citing works
RNA-sequencing from single nuclei
Grindberg, R. V., Yee-Greenbaum, J. L., McConnell, M. J., Novotny, M., O’Shaughnessy, A. L., Lambert, G. M., Araúzo-Bravo, M. J., Lee, J., Fishman, M., Robbins, G. E., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319700110 · Cited by 422 · see citing works
Tau impairs neural circuits, dominating amyloid-β effects, in Alzheimer models in vivo
Busche, M. A., Wegmann, S., Dujardin, S., Commins, C., Schiantarelli, J., Klickstein, N., Kamath, T. V., Carlson, G. A., Nelken, I., & Hyman, B. T. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0289-8 · Cited by 413 · see citing works
Hof, P. R., Morrison, J. H., & Cox, K. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.903010105 · Cited by 365 · see citing works
Alves, P. N., Foulon, C., Karolis, V., Bzdok, D., Margulies, D. S., Volle, E., & Thiebaut de Schotten, M. (2019) · Communications Biology · doi:10.1038/s42003-019-0611-3 · Cited by 357 · see citing works
Moloney, C. M., Lowe, V. J., & Murray, M. E. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12321 · Cited by 337 · see citing works
Berchtold, N. C., Coleman, P. D., Cribbs, D. H., Rogers, J., Gillen, D. L., & Cotman, C. W. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.024 · Cited by 298 · see citing works
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295 · see citing works
Self-citationIzzo, N. J., Xu, J., Zeng, C., Kirk, M. J., Mozzoni, K., Silky, C., Rehak, C., Yurko, R., Look, G. C., Rishton, G. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111899 · Cited by 294 · see citing works
Brinkmalm, A., Brinkmalm, G., Honer, W. G., Frölich, L., Hausner, L., Minthon, L., Hansson, O., Wallin, A., Zetterberg, H., Blennow, K., et al. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-53 · Cited by 293 · see citing works
Novel Alzheimer risk genes determine the microglia response to amyloid-β but not to TAU pathology
Sierksma, A., Lu, A., Mancuso, R., Fattorelli, N., Thrupp, N., Salta, E., Zoco, J., Blum, D., Buée, L., De Strooper, B., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.201910606 · Cited by 291 · see citing works
de Wilde, M. C., Overk, C., Sijben, J., & Masliah, E. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.12.005 · Cited by 273 · see citing works
Piras, A., Collin, L., Grüninger, F., Graff, C., & Rönnbäck, A. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0292-9 · Cited by 271 · see citing works
Lake, B. B., Codeluppi, S., Yung, Y. C., Gao, D., Chun, J., Kharchenko, P. V., Linnarsson, S., & Zhang, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-04426-w · Cited by 271 · see citing works
Klein, H., Aubin, C., Gjoneska, E., Sullivan, S. E., Kaskow, B. J., Tang, A. Y., Smith, R. V., Xu, J., Pfenning, A. R., Bernstein, B., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0291-1 · Cited by 267 · see citing works
Site-specific phosphorylation of tau inhibits amyloid-β toxicity in Alzheimer’s mice
Ittner, A., Chua, S. W., Bertz, J., Volkerling, A., van der Hoven, J., Gladbach, A., Przybyla, M., Bi, M., van Hummel, A., Stevens, C. H., et al. (2016) · Science · doi:10.1126/science.aah6205 · Cited by 263 · see citing works
Mechanisms of Cell-to-Cell Transmission of Pathological Tau: A Review
Gibbons, G. S., Lee, V. M. Y., & Trojanowski, J. Q. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.2505 · Cited by 257 · see citing works
Fu, H., Possenti, A., Freer, R., Nakano, Y., Villegas, N. C. H., Tang, M., Cauhy, P. M., Lassus, B., Chen, S., Fowler, S. L., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0298-7 · Cited by 252 · see citing works
Functional connectivity associated with tau levels in ageing, Alzheimer’s, and small vessel disease
Franzmeier, N., Rubinski, A., Neitzel, J., Kim, Y., Damm, A., Na, D. L., Kim, H. J., Lyoo, C. H., Cho, H., Finsterwalder, S., et al. (2019) · Brain · doi:10.1093/brain/awz026 · Cited by 234 · see citing works
Regulation of lifespan by neural excitation and REST
Zullo, J., Drake, D., Aron, L., O’Hern, P., Dhamne, S. C., Davidsohn, N., Mao, C., Klein, W. H., Rotenberg, A., Bennett, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1647-8 · Cited by 232 · see citing works
Lewis, J. M., & Dickson, D. W. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1507-z · Cited by 221 · see citing works
Fu, A. K. Y., Hung, K.-W., Huang, H., Gu, S., Shen, Y., Cheng, E. Y. L., Ip, F. C. F., Huang, X., Fu, W.-Y., & Ip, N. Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405803111 · Cited by 201 · see citing works
Microglial activation and tau burden predict cognitive decline in Alzheimer’s disease
Malpetti, M., Kievit, R. A., Passamonti, L., Jones, P. S., Tsvetanov, K. A., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, W. R., Su, L., et al. (2020) · Brain · doi:10.1093/brain/awaa088 · Cited by 194 · see citing works
Neurofibrillary tangle-bearing neurons are functionally integrated in cortical circuits in vivo
Kuchibhotla, K. V., Wegmann, S., Kopeikina, K. J., Hawkes, J., Rudinskiy, N., Andermann, M. L., Spires-Jones, T. L., Bacskai, B. J., & Hyman, B. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318807111 · Cited by 193 · see citing works
HOF, P. R., COX, K., Young, W. G., Celio, M. R., Rogers, J., & Morrison, J. H. (1991) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199107000-00006 · Cited by 188 · see citing works
Bussière, T., Giannakopoulos, P., Bouras, C., Perl, D. P., Morrison, J. H., & Hof, P. R. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10760 · Cited by 185 · see citing works
Pathological Tau Disrupts Ongoing Network Activity
Menkes-Caspi, N., Yamin, H. G., Kellner, V., Spires-Jones, T. L., Cohen, D., & Stern, E. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.025 · Cited by 184 · see citing works
A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain
Del-Aguila, J. L., Li, Z., Dube, U., Mihindukulasuriya, K. A., Budde, J. P., Fernandez, M. V., Ibanez, L., Bradley, J., Wang, F., Bergmann, K., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0524-x · Cited by 183 · see citing works
Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis
Roussarie, J.-P., Yao, V., Rodriguez-Rodriguez, P., Oughtred, R., Rust, J., Plautz, Z., Kasturia, S., Albornoz, C., Wang, W., Schmidt, E. F., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.010 · Cited by 180 · see citing works
APP Metabolism Regulates Tau Proteostasis in Human Cerebral Cortex Neurons.
Moore, S., Evans, L. D. B., Andersson, T., Portelius, E., Smith, J., Dias, T. B., Saurat, N., McGlade, A., Kirwan, P., Blennow, K., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.068 · Cited by 179 · see citing works
Pickett, E. K., Herrmann, A. G., McQueen, J., Abt, K., Dando, O., Tulloch, J., Jain, P., Dunnett, S., Sohrabi, S., Fjeldstad, M. P., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.044 · Cited by 179 · see citing works
Gene expression correlates of neurofibrillary tangles in Alzheimer's disease
Dunckley, T., Beach, T. G., Ramsey, K. E., Grover, A., Mastroeni, D., Walker, D. G., LaFleur, B. J., Coon, K. D., Brown, K. M., Caselli, R., et al. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.013 · Cited by 177 · see citing works
Calretinin-immunoreactive neocortical interneurons are unaffected in Alzheimer's disease
Hof, P. R., Nimchinsky, E. A., Celio, M. R., Bouras, C., & Morrison, J. H. (1993) · Neuroscience Letters · doi:10.1016/0304-3940(93)90504-e · Cited by 172 · see citing works
LTP and memory impairment caused by extracellular Aβ and Tau oligomers is APP-dependent
Puzzo, D., Piacentini, R., Fá, M., Gulisano, W., Li Puma, D. D., Staniszewski, A., Zhang, H., Tropea, M. R., Cocco, S., Palmeri, A., et al. (2017) · eLife · doi:10.7554/elife.26991 · Cited by 172 · see citing works
Subset of Cortical Layer 6b Neurons Selectively Innervates Higher Order Thalamic Nuclei in Mice
Hoerder‐Suabedissen, A., Hayashi, S., Upton, L., Nolan, Z. T., Casas-Torremocha, D., Grant, E., Viswanathan, S., Kanold, P. O., Clascá, F., Kim, Y., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy036 · Cited by 161 · see citing works
Loss of Neprilysin Function Promotes Amyloid Plaque Formation and Causes Cerebral Amyloid Angiopathy
Farris, W., Schütz, S. G., Cirrito, J. R., Shankar, G. M., Sun, X., George, A., Leissring, M. A., Walsh, D. M., Qiu, W. Q., Holtzman, D. M., et al. (2007) · American Journal Of Pathology · doi:10.2353/ajpath.2007.070105 · Cited by 155 · see citing works
The basis of cellular and regional vulnerability in Alzheimer’s disease
Mrdjen, D., Fox, E. J., Bukhari, S. A., Montine, K. S., Bendall, S. C., & Montine, T. J. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-02054-4 · Cited by 155 · see citing works
Braak, H., & Del Tredici, K. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy152 · Cited by 148 · see citing works
Microglial Gi-dependent dynamics regulate brain network hyperexcitability
Merlini, M., Rafalski, V. A., Ma, K., Keun-young Kim, A., Bushong, E. A., Coronado, P. E. R., Yan, Z., Mendiola, A. S., Sözmen, E. G., Ryu, J. K., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00756-7 · Cited by 146 · see citing works
Na, K-ATPase α3 is a death target of Alzheimer patient amyloid-β assembly
Ohnishi, T., Yanazawa, M., Sasahara, T., Kitamura, Y., Hiroaki, H., Fukazawa, Y., Kii, I., Nishiyama, T., Kakita, A., Takeda, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421182112 · Cited by 139 · see citing works
Spires-Jones, T. L., de Calignon, A., Matsui, T., Zehr, C., Pitstick, R., Wu, H.-Y., Osetek, J. D., Jones, P. B., Bacskai, B. J., Feany, M. B., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3072-08.2008 · Cited by 137 · see citing works
Galasko, D., Xiao, M., Xu, D., Smirnov, D., Salmon, D. P., Dewit, N., Vanbrabant, J., Jacobs, D., Vanderstichele, H., Vanmechelen, E., et al. (2019) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.11.002 · Cited by 133 · see citing works
Bussire, T., Gold, G., Kvari, E., Giannakopoulos, P., Bouras, C., Perl, D. P., Morrison, J. H., & Hof, P. R. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00942-9 · Cited by 122 · see citing works
RIM genes differentially contribute to organizing presynaptic release sites
Kaeser, P. S., Deng, L., Fan, M., & Südhof, T. C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209318109 · Cited by 115 · see citing works
GABP Transcription Factor (Nuclear Respiratory Factor 2) Is Required for Mitochondrial Biogenesis
Yang, Z.-F., Drumea, K., Mott, S., Wang, J., & Rosmarin, A. G. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.00492-12 · Cited by 112 · see citing works
Rossier, J., Bernard, A., Cabungcal, J.-H., Perrenoud, Q., Savoye, A., Gallopin, T., Hawrylycz, M., Cuénod, M., Do, K., Urban, A., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.162 · Cited by 101 · see citing works
Prosaposin is a regulator of progranulin levels and oligomerization
Nicholson, A. M., Finch, N. A., Almeida, M., Perkerson, R. B., van Blitterswijk, M., Wojtas, A., Cenik, B., Rotondo, S., Inskeep, V., Almasy, L., et al. (2016) · Nature Communications · doi:10.1038/ncomms11992 · Cited by 91 · see citing works
Synaptotagmin, a synaptic vesicle protein, is present in human cerebrospinal fluid
Davidsson, P., Jahn, R., Bergquist, J., Ekman, R., & Blennow, K. (1996) · Molecular and Chemical Neuropathology · doi:10.1007/bf02815094 · Cited by 88 · see citing works
Integrating Gene and Protein Expression Reveals Perturbed Functional Networks in Alzheimer’s Disease
Canchi, S., Raao, B., Masliah, D., Rosenthal, S. B., Šášik, R., Fisch, K. M., Jager, P. L. D., Bennett, D. A., & Rissman, R. A. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.073 · Cited by 81 · see citing works
Interneurons, tau and amyloid-β in the piriform cortex in Alzheimer’s disease
Saiz-Sanchez, D., De la Rosa-Prieto, C., Ubeda-Banon, I., & Martinez-Marcos, A. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0771-3 · Cited by 79 · see citing works
Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease
Morabito, S., Miyoshi, E., Michael, N., & Swarup, V. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa182 · Cited by 74 · see citing works
Self-citationShen, Y., Ge, W., Li, Y., Hirano, A., Lee, H.-Y., Rohlmann, A., Missler, M., Tsien, R. W., Jan, L. Y., Fu, Y., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501364112 · Cited by 52 · see citing works
Soluble Conformers of Aβ and Tau Alter Selective Proteins Governing Axonal Transport
Sherman, M. A., LaCroix, M., Amar, F., Larson, M. E., Forster, C. L., Aguzzi, A., Bennett, D. A., Ramsden, M., & Lesné, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1899-16.2016 · Cited by 51 · see citing works
Tau is not necessary for amyloid-β–induced synaptic and memory impairments
Puzzo, D., Argyrousi, E. K., Staniszewski, A., Zhang, H., Calcagno, E., Zuccarello, E., Acquarone, E., Fà, M., Puma, D. D. L., Grassi, C., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137040 · Cited by 51 · see citing works
Sun, Y., Ip, P., & Chakrabartty, A. (2017) · Journal of Visualized Experiments · doi:10.3791/56188 · Cited by 48 · see citing works
Rüb, U., Stratmann, K., Heinsen, H., Turco, D. D., Ghebremedhin, E., Seidel, K., den Dunnen, W. F. A., & Korf, H. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150639 · Cited by 38 · see citing works
Selective neuronal vulnerability in Alzheimer’s disease: a network-based analysisPreprint
Roussarie, J.-P., Yao, V., Plautz, Z., Kasturia, S. E., Albornoz, C. A., Schmidt, E. F., Brichta, L., Barnea-Cramer, A. O., Heintz, N., Hof, P. R., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/499897 · Cited by 31 · see citing works
Alexandris, A. S., Walker, L., Liu, A. K. L., McAleese, K. E., Johnson, M., Pearce, R. K. B., Gentleman, S., & Attems, J. (2019) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12577 · Cited by 28 · see citing works
Tagliafierro, L., Bonawitz, K., Glenn, O., & Chiba‐Falek, O. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00072 · Cited by 25 · see citing works
Sun, Y., Ip, P., & Chakrabartty, A. (2017) · Journal of Visualized Experiments · doi:10.3791/56188-v · Cited by 10 · see citing works
Author response: Neuropathological and transcriptomic characteristics of the aged brain
Miller, J. A., Guillozet-Bongaarts, A. L., Gibbons, L. E., Postupna, N. O., Renz, A. D., Beller, A., Sunkin, S. M., Ng, L., Rose, S. E., Smith, K. A., et al. (2017) · eLife · doi:10.7554/elife.31126.036 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 141 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mathys, H., Peng, Z., Boix, C. A., Victor, M. B., Leary, N., Babu, S., Abdelhady, G., Jiang, X., Ng, A. P., Ghafari, K., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.039 · Cited by 495 · see citing works
Tau-targeting therapies for Alzheimer disease: Current status and future directions
Congdon, E. E., Ji, C., Tetlow, A. M., Jiang, Y., & Sigurdsson, E. M. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00883-2 · Cited by 371 · see citing works
Single-cell multiregion dissection of Alzheimer’s disease
Mathys, H., Boix, C. A., Akay, L. A., Xia, Z., Davila-Velderrain, J., Ng, A. P., Jiang, X., Abdelhady, G., Galani, K., Mantero, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07606-7 · Cited by 343 · see citing works
Cellular and pathological functions of tau
Bravo, C. P., Naguib, S. A., & Gan, L. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00753-9 · Cited by 245 · see citing works
Early Alzheimer’s disease pathology in human cortex involves transient cell states
Gazestani, V., Kamath, T., Nadaf, N. M., Dougalis, A., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.005 · Cited by 209 · see citing works
Tijms, B. M., Vromen, E. M., Mjaavatten, O., Holstege, H. H., Reus, L. M., van der Lee, S. J., Wesenhagen, K. E. J., Lorenzini, L., Vermunt, L., Venkatraghavan, V., et al. (2024) · Nature Aging · doi:10.1038/s43587-023-00550-7 · Cited by 222 · see citing works
Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology
Dehkordi, S. K., Walker, J., Sah, E., Bennett, E., Atrian, F., Frost, B., Woost, B., Bennett, R. E., Orr, T. C., Zhou, Y., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00142-3 · Cited by 169 · see citing works
Insights into Alzheimer’s disease from single-cell genomic approaches
Murdock, M. H., & Tsai, L.-H. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01222-2 · Cited by 148 · see citing works
Chen, S., Chang, Y., Li, L., Acosta, D. M., Li, Y., Guo, Q., Wang, C., Turkes, E., Morrison, C. T., Julian, D. L., et al. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01494-6 · Cited by 141 · see citing works
Molecular and cellular mechanisms of selective vulnerability in neurodegenerative diseases
Kampmann, M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00806-0 · Cited by 138 · see citing works
Neuronal APOE4 removal protects against tau-mediated gliosis, neurodegeneration and myelin deficits
Koutsodendris, N., Blumenfeld, J., Agrawal, A., Traglia, M., Grone, B., Zilberter, M., Yip, O., Rao, A., Nelson, M. R., Hao, Y., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00368-3 · Cited by 132 · see citing works
Miyoshi, E., Morabito, S., Henningfield, C. M., Das, S., Rahimzadeh, N., Shabestari, S. K., Michael, N., Emerson, N., Reese, F., Shi, Z., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01961-x · Cited by 115 · see citing works
Self-citationTau filaments are tethered within brain extracellular vesicles in Alzheimer’s disease
Fowler, S. L., Behr, T. S., Turkes, E., O'Brien, D. P., Cauhy, P. M., Rawlinson, I., Edmonds, M. J., Foiani, M. S., Schaler, A. W., Crowley, G., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01801-5 · Cited by 116 · see citing works
Hossain, M. S., & Hussain, M. H. (2025) · Pharmacology Research & Perspectives · doi:10.1002/prp2.70131 · Cited by 94 · see citing works
Visser, P. J., Reus, L. M., Gobom, J., Jansen, I. E., Dicks, E., van der Lee, S. J., Tsolaki, M., Verhey, F. R. J., Popp, J., Martínez‐Lage, P., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00521-3 · Cited by 88 · see citing works
Human iPSC 4R tauopathy model uncovers modifiers of tau propagation
Bravo, C., Giani, A. M., Madero‐Pérez, J., Zhao, Z., Wan, Y., Samelson, A. J., Wong, M. Y., Evangelisti, A., Cordes, E., Fan, L., et al. (2024) · Cell · doi:10.1016/j.cell.2024.03.015 · Cited by 81 · see citing works
Spatial transcriptomics reveals molecular dysfunction associated with cortical Lewy pathology
Goralski, T. M., Meyerdirk, L. K., Breton, L., Brasseur, L., Kurgat, K., DeWeerd, D., Turner, L., Becker, K., Adams, M., Newhouse, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47027-8 · 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
Dissecting the human leptomeninges at single-cell resolution
Kearns, N. A., Iatrou, A., Flood, D. J., De Tissera, S., Mullaney, Z. M., Xu, J., Gaiteri, C., Bennett, D. A., & Wang, Y. (2023) · Nature Communications · doi:10.1038/s41467-023-42825-y · Cited by 75 · see citing works
Role of mitochondria in physiological activities, diseases, and therapy
Wang, L., Zhou, X., & Lu, T. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00284-5 · Cited by 79 · see citing works
The necroptosis cell death pathway drives neurodegeneration in Alzheimer’s disease
Balusu, S., & Strooper, B. D. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02747-5 · Cited by 73 · see citing works
RNA Dynamics in Alzheimer’s Disease
Rybak‐Wolf, A., & Plass, M. (2021) · Molecules · doi:10.3390/molecules26175113 · Cited by 70 · see citing works
Cell type-specific changes identified by single-cell transcriptomics in Alzheimer’s disease
Luquez, T., Gaur, P., Kosater, I. M., Lam, M., Lee, D. I., Mares, J. A., Paryani, F., Yadav, A., & Menon, V. (2022) · Genome Medicine · doi:10.1186/s13073-022-01136-5 · Cited by 59 · see citing works
CRISPR screens in iPSC-derived neurons reveal principles of tau proteostasis
Samelson, A. J., Ariqat, N., McKetney, J., Rohanitazangi, G., Bravo, C., Bose, R., Travaglini, K. J., Lam, V. L., Goodness, D., Ta, T., et al. (2026) · Cell · doi:10.1016/j.cell.2025.12.038 · Cited by 65 · see citing works
Neurodegeneration cell per cell
Balusu, S., Praschberger, R., Lauwers, E., Strooper, B. D., & Verstreken, P. (2023) · Neuron · doi:10.1016/j.neuron.2023.01.016 · Cited by 51 · see citing works
Limone, F., Mordes, D. A., Couto, A., Joseph, B. J., Mitchell, J. M., Therrien, M., Ghosh, S. D., Meyer, D., Zhang, Y., Goldman, M., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00640-0 · Cited by 54 · see citing works
Self-citationVoicu, V. A., Toader, C., Șerban, M., Covache-Busuioc, R.-A., & Ciurea, A. V. (2025) · Biomedicines · doi:10.3390/biomedicines13082025 · Cited by 54 · 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-citationDas, S., Li, Z., Wachter, A., Alla, S., Noori, A., Abdourahman, A., Tamm, J. A., Woodbury, M. E., Talanian, R. V., Biber, K., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13387 · Cited by 46 · see citing works
Kjar, A., Haschert, M. R., Zepeda, J. C., Simmons, A. J., Yates, A., Chavarría, D., Fernandez, M., Robertson, G. L., Abdulrahman, A. M., Kim, H., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114874 · Cited by 42 · see citing works
Zhou, Y., Xu, J., Hou, Y., Bekris, L., Leverenz, J. B., Pieper, A. A., Cummings, J., & Cheng, F. (2022) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12350 · Cited by 39 · 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
Zhang, L., Jia, Z., Wu, Q., Bai, T., Wang, B., Hu, X., Li, T., Liu, X., Fu, J., Chen, Y., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00887-8 · Cited by 41 · see citing works
Christodoulou, R. C., Woodward, A. L., Pitsillos, R., Ibrahim, R., & Georgiou, M. F. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14165913 · Cited by 37 · see citing works
Gene networks and systems biology in Alzheimer's disease: Insights from multi‐omics approaches
Rahimzadeh, N., Srinivasan, S. S., Zhang, J., & Swarup, V. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13790 · Cited by 36 · see citing works
Self-citationPrach, T., Feng, X., Zhang, K., & Hadjab, S. (2024) · Nature Communications · doi:10.1038/s41467-024-52052-8 · Cited by 35 · see citing works
Arnsten, A. F. T., Tredici, K. D., Barthélemy, N. R., Gabitto, M. I., van Dyck, C. H., Lein, E. S., Braak, H., & Datta, D. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70404 · Cited by 37 · see citing works
Repeated head trauma causes neuron loss and inflammation in young athletes
Butler, M. L. M. D., Pervaiz, N., Breen, K., Calderazzo, S. M., Ypsilantis, P., Wang, Y., Breda, J. C., Mazzilli, S. A., Nicks, R., Spurlock, E., et al. (2025) · Nature · doi:10.1038/s41586-025-09534-6 · Cited by 47 · see citing works
Genome-wide association study and functional validation implicates JADE1 in tauopathy
Farrell, K. W., Kim, S., Han, N., Iida, M. A., Gonzalez, E. M., Otero‐García, M., Walker, J. M., Richardson, T. E., Renton, A. E., Andrews, S. J., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02379-z · Cited by 36 · see citing works
Self-citationOlloquequi, J., Díaz‐Peña, R., Verdaguer, E., Ettcheto, M., Auladell, C., & Camins, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25136928 · Cited by 35 · see citing works
Khaliq, F., Mahajani, S. U., Oberhauser, J., & Wakhloo, D. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.355982 · Cited by 34 · see citing works
Self-citationNaguib, S., Lopez-Lee, C., Torres, E. R., Lee, S.-I., Zhu, J., Zhu, D., Ye, P., Norman, K., Zhao, M., Wong, M. Y., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.05.023 · Cited by 32 · see citing works
Bowles, K. R., Pugh, D. A., Oja, L., Jadow, B. M., Farrell, K. W., Whitney, K. R., Sharma, A., Cherry, J. D., Raj, T., Pereira, A. C., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02392-2 · Cited by 32 · see citing works
An Overview of Astrocyte Responses in Genetically Induced Alzheimer’s Disease Mouse Models
Spanos, F., & Liddelow, S. A. (2020) · Cells · doi:10.3390/cells9112415 · Cited by 31 · see citing works
C9orf72 hexanucleotide repeat expansions impair microglial response in ALS
Masrori, P., Bijnens, B., Fumagalli, L., Davie, K., Poovathingal, S. K., Meese, T. S., Storm, A., Hersmus, N., Fazal, R., van den Biggelaar, D., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02075-1 · Cited by 30 · see citing works
Caramello, A., Fancy, N. N., Tournerie, C., Eklund, M., Chau, V. M. N., Adair, E., Papageorgopoulou, M., Willumsen, N., Jackson, J., Hardy, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60328-w · Cited by 37 · see citing works
Almeida, M. C., Eger, S. J., He, C., Audouard, M., Nikitina, A. A., Glasauer, S. M. K., Han, D., Mejía‐Cupajita, B., Acosta‐Uribe, J., Villalba‐Moreno, N. D., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.009 · Cited by 28 · see citing works
Nuclear dynamics and stress responses in Alzheimer’s disease
Iatrou, A., Clark, E. M., & Wang, Y. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00489-6 · Cited by 27 · see citing works
Marmolejo-Garza, A., Medeiros-Furquim, T., Rao, R. G., Eggen, B. J. L., Boddeke, E., & Dolga, A. M. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2022.119326 · Cited by 28 · see citing works
Fu, Y., Zhang, J., Qin, R., Ren, Y., Zhou, T., Han, B., & Liu, B. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100053 · Cited by 28 · see citing works
Dan, L., Hao, Y., Li, J., Wang, T., Zhao, W., Wang, H., Qiao, L., & Xie, P. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1287750 · Cited by 26 · see citing works
Sweeney, N., Kim, T. Y., Morrison, C. T., Li, L., Acosta, D. M., Liang, J., Datla, N. V., Fitzgerald, J. A., Huang, H., Liu, X., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02810-1 · Cited by 27 · see citing works
Gezen‐Ak, D., & Dursun, E. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230214 · Cited by 28 · see citing works
Wang, K., Yang, R., Li, J., Wang, H., Wan, L., & He, J. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1591438 · Cited by 27 · see citing works
Bilirubin and Redox Stress in Age-Related Brain Diseases
Llido, J. P., Jayanti, S. D., Tiribelli, C., & Gazzin, S. (2023) · Antioxidants · doi:10.3390/antiox12081525 · Cited by 25 · see citing works
Whitney, K. R., Song, W., Sharma, A., Dangoor, D. K., Farrell, K. W., Krassner, M. M., Ressler, H. W., Christie, T. D., Kandoi, S., Walker, R. H., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02823-w · Cited by 23 · see citing works
Neuroinflammation and Alzheimer's disease: Unravelling the molecular mechanisms
Kakkar, A., Singh, H., Singh, B. K., Kumar, A., Mishra, A. K., & Chopra, H. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251374353 · Cited by 23 · see citing works
Jang, J., Yeo, S., Baek, S., Jung, H. J., Lee, M. S., Choi, S. H., & Choe, Y. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01637-3 · Cited by 20 · see citing works
“Studies have shown that RORB-expressing excitatory neurons in the EC [45] and the frontal cortex [56], as well as SST-positive interneurons in the frontal cortex [8], are more prone to neuronal susceptibility than other parts of the brain.”
BackgroundO-GlcNAcylation and Its Roles in Neurodegenerative Diseases
Du, P., Zhang, X., Lian, X., Hölscher, C., & Xue, G. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230955 · Cited by 20 · see citing works
Recent progress in engineered extracellular vesicles and their biomedical applications
Mazahir, F., & Yadav, A. K. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122747 · Cited by 20 · see citing works
Pathogenesis, Animal Models, and Drug Discovery of Alzheimer’s Disease
Xia, Z.-D., Ma, R.-X., Wen, J.-F., Zhai, Y.-F., Wang, Y.-Q., Wang, F.-Y., Liu, D., Zhao, X.-L., Sun, B., Jia, P., et al. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-230326 · Cited by 19 · see citing works
Molecular signatures of resilience to Alzheimer’s disease in neocortical layer 4 neurons
Dharshini, S. A. P., Sanz‐Ros, J., Pan, J., Tang, W., Vallejo, K., Liu, Y. C., Otero‐García, M., & Cobos, I. (2026) · Nature Communications · doi:10.1038/s41467-026-68920-4 · Cited by 22 · see citing works
Self-citationRamsden, C. E., Zamora, D., Horowitz, M. S., Jahanipour, J., Calzada, E., Li, X., Keyes, G. S., Murray, H. C., Curtis, M. A., Faull, R. L. M., et al. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01693-9 · Cited by 18 · see citing works
Rodriguez‐Rodriguez, P., Arroyo‐García, L. E., Tsagkogianni, C., Li, L., Wang, W., Végvári, Á., Salas-Allende, I., Plautz, Z., Cedazo-Mı́nguez, Á., Sinha, S. C., et al. (2024) · Brain · doi:10.1093/brain/awae051 · Cited by 17 · see citing works
Analyzing alternative splicing in Alzheimer’s disease postmortem brain: a cell-level perspective
Farhadieh, M., & Ghaedi, K. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1237874 · Cited by 18 · see citing works
Inflammasome links traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer’s disease
Seplovich, G., Bouchi, Y., Vaccari, J. P. D. R., Pareja, J. C. M., Reisner, A., Blackwell, L. S., Mechref, Y. S., Wang, K., Tyndall, J. A., Tharakan, B., et al. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00107 · Cited by 20 · see citing works
Richardson, T. E., Walker, J. M., Farrell, K. W., Oliveira, T. G., White, C. L., & Crary, J. F. (2025) · Acta Neuropathologica · doi:10.1007/s00401-025-02943-x · Cited by 21 · see citing works
Chaudhuri, S., Cho, M., Stumpff, J., Bice, P. J., İş, Ö., Ertekin‐Taner, N., Saykin, A. J., & Nho, K. T. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00798-0 · Cited by 18 · see citing works
Stein-O’Brien, G., Palaganas, R. G., Meyer, E. M., Redding‐Ochoa, J., Pletniková, O., Guo, H., Bell, W. R., Troncoso, J. C., Huganir, R. L., & Morris, M. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115422 · Cited by 18 · see citing works
Li, X., Duan, T., Chu, J.-Y., Pan, S.-Y., Zeng, Y. J., & Hu, F. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1157792 · Cited by 17 · see citing works
An Epigenetic Manifestation of Alzheimer's Disease: DNA Methylation
Feng, B., Zheng, J., Cai, Y., Han, Y., Han, Y., Wu, J., Feng, J., & Zheng, K. (2024) · Actas Españolas de Psiquiatría · doi:10.62641/aep.v52i3.1595 · Cited by 17 · see citing works
Gan, Q., Ding, Y., Peng, M., Chen, L., Dong, J., Hu, J., & Ma, Y. (2023) · Biomolecules · doi:10.3390/biom13050873 · Cited by 16 · see citing works
Yasamineh, S., Mehrabani, F. J., Derafsh, E., Cosimi, R. D., Forood, A. M. K., Soltani, S., Hadi, M., & Gholizadeh, O. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03798-7 · Cited by 17 · see citing works
The role of exosomes in diagnosis, pathophysiology, and management of Alzheimer's Disease
Daksh, R., Mathew, M. S., Bosco, A. M., Sojan, C., Tom, A. A., Bojja, S. L., & Nampoothiri, M. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.151526 · Cited by 16 · see citing works
AI-assisted multi-OMICS analysis reveals new markers for the prediction of AD
Latifi‐Navid, H., Mokhtari, S., Taghizadeh, S., Moradi, F., Poostforoush-Fard, D., Alijanpour, S., & Aghanoori, M. (2025) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2025.167925 · Cited by 17 · see citing works
Murray, M. E., Smith, C., Menon, V., Keene, C. D., Lein, E. S., Hawrylycz, M., Aguzzi, A., Benedetti, B. L., Brose, K., Caetano-Anollés, K., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.014 · Cited by 16 · see citing works
Self-citationCould Amyloid-β 1–42 or α-Synuclein Interact Directly with Mitochondrial DNA? A Hypothesis
Gezen‐Ak, D., Yurttaş, Z., Çamoğlu, T., & Dursun, E. (2022) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.2c00512 · Cited by 15 · see citing works
Kwon, S. H., Parthiban, S., Tippani, M., Divecha, H. R., Eagles, N. J., Lobana, J. S., Williams, S. R., Mak, M., Bharadwaj, R. A., Kleinman, J. E., et al. (2023) · GEN Biotechnology · doi:10.1089/genbio.2023.0019 · Cited by 14 · see citing works
Huang, M., Wang, J., Liu, W., & Zhou, H. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1349409 · Cited by 15 · see citing works
Decoding molecular mechanisms: brain aging and Alzheimer’s disease
Hayat, M., Syed, R. A., Qaiser, H., Uzair, M., Al-Regaiey, K., Khallaf, R. A., Albassam, L. A. M., Kaleem, I., Wang, X., Wang, R., et al. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-23-01403 · Cited by 14 · see citing works
Understanding the Mechanism of Ferroptosis in Neurodegenerative Diseases
Ma, J., Liu, J., Chen, S., Zhang, W., Wang, T., Cao, M., Yang, Y., Du, Y., Cui, G., & Du, Z. (2024) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2908291 · Cited by 14 · see citing works
Resilience to Alzheimer's disease associates with alterations in perineuronal nets
de Vries, L. E., Bahnerth, A., Swaab, D. F., Verhaagen, J., & Carulli, D. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14504 · Cited by 14 · see citing works
Research models to study lewy body dementia
Boschen, S. L., Mukerjee, A. A., Faroqi, A. H., Rabichow, B. E., & Fryer, J. D. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00837-w · Cited by 15 · see citing works
Fu, K., Lin, N., Xu, Y., Huang, E., He, R., Wu, Z., Qu, D., Chen, X., & Huang, T. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03551-9 · Cited by 13 · see citing works
The broken Alzheimer’s disease genome
Roque, C. G., Phatnani, H. P., & Hengst, U. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100555 · Cited by 13 · see citing works
Jurado, M. R., Tombor, L. S., Arsalan, M., Holubec, T., Emrich, F. C., Walther, T., Abplanalp, W. T., Fischer, A., Zeiher, A. M., Schulz, M. H., et al. (2024) · GigaScience · doi:10.1093/gigascience/giae011 · Cited by 11 · see citing works
Wang, S., Ding, P., Yuan, J., Wang, H., Zhang, X., Chen, D., Ma, D., Zhang, X., & Wang, F. (2022) · Scientific Reports · doi:10.1038/s41598-022-21496-7 · Cited by 11 · see citing works
Zheng, Y., Huang, R., & Pan, J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178155 · Cited by 11 · see citing works
Self-citationYamakawa, M., & Rexach, J. E. (2024) · Biomedicines · doi:10.3390/biomedicines12020308 · Cited by 11 · see citing works
The potential link between the development of Alzheimer’s disease and osteoporosis
Nasme, F., Behera, J., Tyagi, P., Debnath, N., Falcone, J. C., & Tyagi, N. (2025) · Biogerontology · doi:10.1007/s10522-024-10181-z · Cited by 12 · see citing works
GRAMD1B is a regulator of lipid homeostasis, autophagic flux and phosphorylated tau
Ingram, D. A., Turkes, E., Kim, T. Y., Vo, S., Sweeney, N., Bonte, M.-A., Rutherford, R., Julian, D. L., Pan, M., Marsh, J. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58585-w · Cited by 12 · see citing works
Khaliq, F. (2021) · Journal of Regenerative Biology and Medicine · doi:10.37191/mapsci-2582-385x-3(6)-092 · Cited by 11 · see citing works
Gaur, P., Bryois, J., Calini, D., Foo, L. C., Hoozemans, J. J. M., Yadav, A., Malhotra, D., & Menon, V. (2025) · Nature Communications · doi:10.1038/s41467-025-65350-6 · Cited by 10 · see citing works
Enhancing mitochondrial one-carbon metabolism is neuroprotective in Alzheimer’s disease models
Yu, Y., Chen, C. Z.-Y., Celardo, I., Tan, B. W. Z., Hurcomb, J. D., Leal, N. S., Popovic, R., Loh, S. H. Y., & Martins, L. M. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-07179-3 · Cited by 11 · see citing works
Zhao, Z., Cao, Z., Zhu, Q., Xu, H., Li, S., Zhu, L., Xu, G., Zhu, K., Zhang, J., & Wu, D. (2025) · Human Brain Mapping · doi:10.1002/hbm.70222 · Cited by 10 · see citing works
Cell-death pathways and tau-associated neuronal vulnerability in Alzheimer’s disease
Lin, G., Chancellor, S. E., Kwon, T., Woodbury, M. E., Doering, A., Abdourahman, A., Bennett, R. E., Liao, F., Pastika, T., Tamm, J. A., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115758 · Cited by 13 · see citing works
Fertan, E., Meisl, G., & Klenerman, D. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70462 · Cited by 9 · see citing works
Nakatsuka, N. J., Adler, D. I., Jiang, L., Hartman, A., Cheng, E., Klann, E., & Satija, R. (2025) · Nature Communications · doi:10.1038/s41467-025-62579-z · Cited by 16 · see citing works
Shwab, E. K., Pathak, G. A., Harvey, J., Belloy, M. E., Fischer, C. E., Lutz, M. W., Scholz, S. W., Cook, N., Reid, D. M., Chen, J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70549 · Cited by 11 · see citing works
Targeting protein misfolding in Alzheimer’s disease: The emerging role of molecular chaperones
Sharma, A., Srivastava, S., Gupta, P., Sridhar, S. B., Tariq, M., Rao, G. K., Kumar, S., & Malik, T. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118531 · Cited by 10 · see citing works
- Authors
- Otero-Garcia, M., Mahajani, S. U., Wakhloo, D., Tang, W., Xue, Y.-Q., Morabito, S., Pan, J., Oberhauser, J., Madira, A. E., Shakouri, T., Deng, Y., Allison, T., He, Z., Lowry, W. E., Kawaguchi, R., Swarup, V., & Cobos, I.
- Affiliations
- Stanford Medicine (US)
- University of California, Irvine (US)
- University of California, Los Angeles (US)
- Corresponding author
- Cobos, Inma
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 110
- Issue
- 18
- Pages
- 2929-2948.e8
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC9509477
- OpenAlex
- W4287881862
- Cited by
- 262
- References
- 141
- Citations by year
- 2026: 57 · 2025: 80 · 2024: 63 · 2023: 32 · 2022: 17 · 2021: 12 · 2020: 1
- FWCI
- 30.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 401 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Alzheimer's Association (AARG-17-528298)
- BrightFocus Foundation (A20173465)
- National Institutes of Health
- Center for AIDS Research, University of Washington
- National Institute on Aging (R01AG059848, RF1AG071683, R01AG071683, P30AG066515)
- Jonsson Comprehensive Cancer Center
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- neurofibrillary tangles, Alzheimer's disease, tau aggregation, single-cell transcriptomics, synaptic vesicle recycling, synaptic transmission, oxidative phosphorylation, mitochondrial dysfunction, apoptosis, neurodegeneration, biomarkers
- MeSH terms
- Alzheimer Disease, Brain, Humans, Biomarkers, Neurofibrillary Tangles, tau Proteins
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
