Network Tau spreading is vulnerable to the expression gradients of APOE and glutamatergic-related genes
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A key hallmark of Alzheimer’s disease (AD) pathology is the intracellular accumulation of tau protein in the form of neurofibrillary tangles across large-scale networks of the human brain cortex. Currently, it is still unclear how tau accumulates within specific cortical systems and whether in situ genetic traits play a role in this circuit-based propagation progression. In this study, using two independent cohorts of cognitively normal older participants, we reveal the brain network foundation of tau spreading and its association with using high-resolution transcriptomic genetic data. We observed that specific connectomic and genetic gradients exist along the tau spreading network. In particular, we identified 577 genes whose expression is associated with the spatial spreading of tau. Within this set of genes, APOE and glutamatergic synaptic genes, such as SLC1A2 , play a central role. Thus, our study characterizes neurogenetic topological vulnerabilities in distinctive brain circuits of tau spreading and suggests that drug development strategies targeting the gradient expression of this set of genes should be explored to help reduce or prevent pathological tau accumulation.
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Loss or dysfunction of SLC1A2 has been implicated in multiple neurodegenerative and neuropsychiatric disorders, including AD where it is closely associated with cognitive decline.
“Loss or dysfunction of SLC1A2 has been implicated in multiple neurodegenerative and neuropsychiatric disorders, including AD where it is closely associated with cognitive decline [126–131].”
From Tau Ablation Rewires Brain Cell Programs in Health and Restores Function in Disease (2026) · cites this paper as [130]
The Discussion (page unavailable) links SLC1A2 to tau pathology in Alzheimer’s disease and reports that lower expression in astrocytes and neurons was associated with worse cognitive performance. It does not address SLC1A2 loss or dysfunction across multiple neurodegenerative and neuropsychiatric disorders, so that broader part of the claim is unsupported by this source. (LLM, conf=0.85)
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 10,838 · see citing works
A multi-modal parcellation of human cerebral cortex
Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature · doi:10.1038/nature18933 · Cited by 5,111 · see citing works
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459 · 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
Mi, H., Muruganujan, A., & Thomas, P. D. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1118 · Cited by 1,693 · see citing works
Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies
Yamazaki, Y., Zhao, N., Caulfield, T. R., Liu, C.-C., & Bu, G. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0228-7 · Cited by 1,425 · 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
Mostafavi, S., Ray, D., Warde-Farley, D., Grouios, C., & Morris, Q. (2008) · Genome biology · doi:10.1186/gb-2008-9-s1-s4 · Cited by 1,054 · see citing works
Tau positron emission tomographic imaging in aging and early <scp>A</scp> lzheimer disease
Johnson, K. A., Schultz, A., Betensky, R. A., Becker, J. A., Sepulcre, J., Rentz, D., Mormino, E., Chhatwal, J., Amariglio, R., Papp, K., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24546 · Cited by 986 · see citing works
Self-citationA practical guide to linking brain-wide gene expression and neuroimaging data
Arnatkevičiūtė, A., Fulcher, B., & Fornito, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.011 · Cited by 806 · see citing works
On testing for spatial correspondence between maps of human brain structure and function
Alexander‐Bloch, A. F., Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., Vandekar, S., & Raznahan, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.070 · Cited by 733 · see citing works
La Joie, R., Visani, A. V., Baker, S. L., Brown, J. A., Bourakova, V., Cha, J., Chaudhary, K., Edwards, L., Iaccarino, L., Janabi, M., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aau5732 · Cited by 612 · see citing works
A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.142 · 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
svaseq: removing batch effects and other unwanted noise from sequencing data
Leek, J. T. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku864 · Cited by 538 · see citing works
Generative modeling of brain maps with spatial autocorrelation
Burt, J. B., Helmer, M., Shinn, M., Anticevic, A., & Murray, J. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117038 · Cited by 528 · 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
Self-citationMolecular 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
Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M. J., Mathis, C. A., Jagust, W. J., & Mintun, M. A. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.109009 · Cited by 465 · see citing works
Hypothesis: Tau pathology is an initiating factor in sporadic Alzheimer's disease
Arnsten, A. F. T., Datta, D., Del Tredici, K., & Braak, H. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12192 · Cited by 361 · see citing works
Phosphorylated tau interactome in the human Alzheimer's disease brain
Drummond, E., Pires, G., MacMurray, C., Askenazi, M., Nayak, S., Bourdon, M., Safar, J., Ueberheide, B., & Wisniewski, T. (2020) · Brain · doi:10.1093/brain/awaa223 · Cited by 357 · see citing works
Shen, E., Overly, C. C., & Jones, A. R. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.09.005 · Cited by 339 · see citing works
Wang, C., Xiong, M., Gratuze, M., Bao, X., Shi, Y., Andhey, P. S., Manis, M., Schroeder, C., Yin, Z., Madore, C., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.024 · Cited by 334 · see citing works
Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
Seidlitz, J., Nadig, A., Liu, S., Bethlehem, R. A. I., Vértes, P. E., Morgan, S. E., Váša, F., Romero-García, R., Lalonde, F. M., CLASEN, L. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17051-5 · Cited by 322 · see citing works
Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
Rodriguez, S., Hug, C., Todorov, P., Moret, N., Boswell, S. A., Evans, K., Zhou, G., Johnson, N. T., Hyman, B. T., Sorger, P. K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21330-0 · Cited by 299 · see citing works
Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Ward, A. M., Huijbers, W., Rentz, D. M., Johnson, K. A., Sperling, R. A., & For the Alzheimer's Disease Neuroimaging Initiative, T. A. I. B. A. L. F. S. O. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000431 · Cited by 290 · see citing works
Self-citationThe impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286 · see citing works
Self-citationSanchez, J. S., Becker, J. A., Jacobs, H. I. L., Hanseeuw, B. J., Jiang, S., Schultz, A. P., Properzi, M. J., Katz, S. R., Beiser, A., Satizabal, C. L., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc0655 · Cited by 200 · see citing works
Self-citationNeurogenetic contributions to amyloid beta and tau spreading in the human cortex
Sepulcre, J., Grothe, M. J., Uquillas, F. D., Ortiz-Terán, L., Diez, I. P., Yang, H., Jacobs, H. I. L., Hanseeuw, B. J., Li, Q., Fakhri, G. E., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0206-4 · Cited by 190 · see citing works
Self-citationZalocusky, K. A., Najm, R., Taubes, A. L., Hao, Y., Yoon, S. Y., Koutsodendris, N., Nelson, M. R., Rao, A., Bennett, D. A., Bant, J., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00851-3 · Cited by 189 · see citing works
Networks of tau distribution in Alzheimer’s disease
Hoenig, M. C., Bischof, G. N., Seemiller, J., Hammes, J., Kukolja, J., Onur, O. A., Jessen, F., Fließbach, K., Neumaier, B., Fink, G. R., et al. (2017) · Brain · doi:10.1093/brain/awx353 · Cited by 174 · see citing works
In Vivo Tau, Amyloid, and Gray Matter Profiles in the Aging Brain
Sepulcre, J., Schultz, A. P., Sabuncu, M. R., Gómez‐Isla, T., Chhatwal, J. P., Becker, A., Sperling, R. A., & Johnson, K. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0639-16.2016 · Cited by 173 · see citing works
Self-citationPatient-centered connectivity-based prediction of tau pathology spread in Alzheimer’s disease
Franzmeier, N., Dewenter, A., Frontzkowski, L. K., Dichgans, M., Rubinski, A., Neitzel, J., Smith, R. A., Strandberg, O. T., Ossenkoppele, R., Büerger, K., et al. (2020) · Science Advances · doi:10.1126/sciadv.abd1327 · Cited by 169 · 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
Molecular properties underlying regional vulnerability to Alzheimer’s disease pathology
Grothe, M. J., Sepulcre, J., Gonzalez-Escamilla, G., Jelistratova, I., Schöll, M., Hansson, O., Teipel, S. J., & Initiative, A. D. N. (2018) · Brain · doi:10.1093/brain/awy189 · Cited by 142 · see citing works
Self-citationIn vivo rate-determining steps of tau seed accumulation in Alzheimer’s disease
Meisl, G., Hidari, E., Allinson, K., Rittman, T., DeVos, S. L., Sanchez, J. S., Xu, C. K., Duff, K. E., Johnson, K. A., Rowe, J. B., et al. (2021) · Science Advances · doi:10.1126/sciadv.abh1448 · Cited by 127 · see citing works
Self-citationPredicting future rates of tau accumulation on PET
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Botha, H., Graff-Radford, J., Jones, D. T., Ferman, T. J., et al. (2020) · Brain · doi:10.1093/brain/awaa248 · Cited by 117 · see citing works
[F-18]-AV-1451 binding correlates with postmortem neurofibrillary tangle Braak staging
Marquié, M., Siao Tick Chong, M., Antón-Fernández, A., Verwer, E. E., Sáez-Calveras, N., Meltzer, A. C., Ramanan, P., Amaral, A. C., Gonzalez, J., Normandin, M. D., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1740-8 · Cited by 109 · see citing works
Monetary costs of dementia in the United States.
Yang, Z., Lin, P.-J., & Levey, A. (2013) · New England Journal of Medicine · doi:10.1056/nejmc1305541 · Cited by 107 · see citing works
Ossenkoppele, R., Iaccarino, L., Schonhaut, D. R., Brown, J. A., Joie, R. L., O’Neil, J. P., Janabi, M., Baker, S. L., Kramer, J. H., Gorno‐Tempini, M., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101848 · Cited by 103 · see citing works
Freer, R., Sormanni, P., Vecchi, G., Ciryam, P., Dobson, C. M., & Vendruscolo, M. (2016) · Science Advances · doi:10.1126/sciadv.1600947 · Cited by 97 · see citing works
Litvinchuk, A., Huynh, T. V., Shi, Y., Jackson, R. J., Finn, M. B., Manis, M., Francis, C. M., Tran, A. C., Sullivan, P. M., Ulrich, J. D., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26043 · Cited by 91 · see citing works
Motor cortex transcriptome reveals microglial key events in amyotrophic lateral sclerosis
Dols‐Icardo, O., Montal, V., Sirisi, S., López‐Pernas, G., Cervera‐Carles, L., Querol‐Vilaseca, M., Muñoz, L., Belbin, O., Alcolea, D. A., Molina‐Porcel, L., et al. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000829 · Cited by 87 · see citing works
Self-citationCornblath, E. J., Li, H. L., Changolkar, L., Zhang, B., Brown, H. J., Gathagan, R. J., Olufemi, M. F., Trojanowski, J. Q., Bassett, D. S., Lee, V. M. Y., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg6677 · Cited by 66 · see citing works
Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain
Diez, I. P., & Sepulcre, J. (2018) · Nature Communications · doi:10.1038/s41467-018-06346-3 · Cited by 58 · see citing works
Self-citationBiphasic cortical macro‐ and microstructural changes in autosomal dominant Alzheimer's disease
Montal, V., Vilaplana, E., Pegueroles, J., Bejanin, A., Alcolea, D. A., Carmona‐Iragui, M., Clarimón, J., Levin, J., Cruchaga, C., Graff‐Radford, N. R., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12224 · Cited by 54 · see citing works
Self-citationJablonski, A. M., Warren, L., Usenovic, M., Zhou, H. H., Sugam, J. A., Parmentier‐Batteur, S., & Voleti, B. (2021) · Scientific Reports · doi:10.1038/s41598-021-82901-1 · Cited by 35 · see citing works
Raj, A., Tora, V., Gao, X., Cho, H., Choi, J. Y., Ryu, Y. H., Lyoo, C. H., & Franchi, B. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0841 · Cited by 26 · see citing works
Foster, J. B., Lashley, R., Zhao, F., Wang, X., Kung, N., Askwith, C. C., Lin, L., Shultis, M. W., Hodgetts, K. J., & Lin, C. G. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0530-z · Cited by 25 · see citing works
Anand, C., Maia, P. D., Torok, J., Mezias, C., & Raj, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-25131-3 · Cited by 25 · see citing works
Acosta, D. M., Powell, F., Zhao, Y., & Raj, A. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.11.014 · Cited by 24 · see citing works
Longitudinal predictive modeling of tau progression along the structural connectome
Yang, F., Chowdhury, S. R., Jacobs, H. I. L., Sepulcre, J., Wedeen, V. J., Johnson, K. A., & Dutta, J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118126 · Cited by 22 · see citing works
Self-citationRaj, A. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0905 · Cited by 21 · see citing works
Unveiling the neuroimaging-genetic intersections in the human brain
Diez, I. P., & Sepulcre, J. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000952 · Cited by 15 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [55]1 Shannon Paul, 1 Markiel Andrew, 2 Ozier Owen, 2 Baliga Nitin S., 1 Wang Jonathan T., 2 Ramage Daniel, 2 Amin Nada, 5 Schwikowski Benno, 1, 5 and Ideker Trey2, 3, 4, Cytoscape: A Software Environment for Integrated Models, Genome Res. 13, 426 (2003). PMC403769 14597658
Cited by
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Vogel, J. W., Corriveau‐Lecavalier, N., Franzmeier, N., Pereira, J. B., Brown, J. A., Maaß, A., Botha, H., Seeley, W. W., Bassett, D. S., Jones, D. T., et al. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00731-8 · Cited by 160 · see citing works
Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease
Serrano-Pozo, A., Li, H., Li, Z., Muñoz-Castro, C., Jaisa-aad, M., Healey, M. A., Welikovitch, L. A., Jayakumar, R., Bryant, A. G., Noori, A., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01791-4 · Cited by 140 · see citing works
ApoE4 and Connectivity-Mediated Spreading of Tau Pathology at Lower Amyloid Levels
Steward, A., Biel, D., Dewenter, A., Roemer, S., Wagner, F., Dehsarvi, A., Rathore, S., Otero Svaldi, D., Higgins, I., Brendel, M., et al. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2023.4038 · Cited by 67 · see citing works
Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease
Ottoy, J., Kang, M. S., Tan, J. X. M., Boone, L., de Wael, R. V., Park, B., Bezgin, G., Lussier, F. Z., Pascoal, T. A., Rahmouni, N., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49300-2 · Cited by 49 · see citing works
Incontro, S., Musella, M. L., Sammari, M., Scala, C. D., Fantini, J., & Debanne, D. (2024) · Physiological Reviews · doi:10.1152/physrev.00004.2024 · Cited by 48 · see citing works
APOEε4 potentiates amyloid β effects on longitudinal tau pathology
Ferrari-Souza, J. P., Bellaver, B., Ferreira, P. C. L., Benedet, A. L., Povala, G., Lussier, F. Z., Leffa, D. T., Therriault, J., Tissot, C., Soares, C., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00490-2 · Cited by 43 · see citing works
Transcriptomic Similarity Informs Neuromorphic Deviations in Depression Biotypes
Li, J., Long, Z., Sheng, W., Du, L., Qiu, J., Chen, H., & Liao, W. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.08.003 · Cited by 41 · see citing works
Tau propagation in the brain olfactory circuits is associated with smell perception changes in aging
Diez, I. P., Ortiz-Terán, L., Ng, T. S. C., Albers, M. W., Marshall, G. A., Orwig, W., Kim, C. M., Bueichekú, E., Montal, V., Olofsson, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48462-3 · Cited by 39 · see citing works
Self-citationYu, M., Risacher, S. L., Nho, K. T., Wen, Q., Oblak, A. L., Unverzagt, F. W., Apostolova, L. G., Farlow, M. R., Brosch, J. R., Clark, D. G., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113691 · Cited by 34 · see citing works
Khan, A. F., & Iturria‐Medina, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03073-w · Cited by 28 · see citing works
The influence of APOEε4 on the pTau interactome in sporadic Alzheimer’s disease
Thierry, M., Ponce, J., Martá-Ariza, M., Askenazi, M., Faustin, A., Leitner, D., Pires, G., Kanshin, E., Drummond, E., Ueberheide, B. M., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02744-8 · Cited by 27 · see citing works
Integrating amyloid and tau imaging with proteomics and genomics in Alzheimer’s disease
Vilkaite, G., Vogel, J. W., & Mattsson, N. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101735 · Cited by 25 · see citing works
Chen, G., Wang, M., Zhang, Z., Hong, D. K., Ahn, E. H., Liu, X., Kang, S. S., & Ye, K. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.015 · Cited by 21 · see citing works
Zheng, L., Rubinski, A., Denecke, J., Luan, Y., Smith, R. A., Strandberg, O. T., Stomrud, E., Ossenkoppele, R., Svaldi, D. O., Higgins, I. A., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26818 · Cited by 14 · see citing works
Impact of APOE on amyloid and tau accumulation in argyrophilic grain disease and Alzheimer’s disease
Raulin, A., Doss, S. V., Heckman, M. G., Craver, E. C., Li, Z., Ikezu, T. C., Sekiya, H., Liu, C., Martens, Y. A., Rosenberg, C. L., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01731-0 · Cited by 14 · see citing works
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Lennol, M. P., Bordier, C., Kamelher, L., Ulrich, J. D., Holtzman, D. M., & Gratuze, M. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20250965 · Cited by 14 · see citing works
Ding, J., Shen, C., Wang, Z., Yang, Y., Fakhri, G. E., Lu, J., Liang, D., Zheng, H., Zhou, Y., Sun, T., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad312 · Cited by 13 · see citing works
Thompson, E., Schroder, A., He, T., Shand, C., Soskic, S., Oxtoby, N. P., Barkhof, F., Alexander, D. C., & Initiative, A. D. N. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00089 · Cited by 13 · see citing works
Ziontz, J., Harrison, T. M., Fonseca, C. S., Giorgio, J., Han, F., Lee, J., Jagust, W. J., & Initiative, A. D. N. (2024) · Human Brain Mapping · doi:10.1002/hbm.70083 · Cited by 10 · see citing works
Early Chronic Stress Induced Changes within the Locus Coeruleus in Sporadic Alzheimer’s Disease
Minné, D., Marnewick, J. L., & Engel-Hills, P. C. (2023) · Current Alzheimer Research · doi:10.2174/1567205020666230811092956 · Cited by 9 · see citing works
Sun, T., Chen, R., Liu, J., & Zhou, Y. (2024) · iRadiology · doi:10.1002/ird3.66 · Cited by 9 · see citing works
Ng, C. A. S., Biran, L. P., Galvano, E., Mandelblatt, J. S., Vicini, S., & Rebeck, G. W. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105915 · Cited by 8 · see citing works
Chronic Neuronal Hyperexcitation Exacerbates Tau Propagation in a Mouse Model of Tauopathy
Nishida, I., Yamada, K., Sakamoto, A., Wakabayashi, T., & Iwatsubo, T. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25169004 · Cited by 7 · see citing works
Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
Alexandersen, C. G., Brennan, G. S., Brynildsen, J. K., Henderson, M. X., Iturria‐Medina, Y., & Bassett, D. S. (2026) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2025.3643310 · Cited by 7 · see citing works
Astrocyte–Neuron Interactions in Alzheimer’s Disease
Muñoz‐Castro, C., & Serrano‐Pozo, A. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-64839-7_14 · Cited by 7 · see citing works
Kim, C. M., Diez, I. P., Bueichekú, E., Ahn, S., Montal, V., & Sepulcre, J. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0488-23.2023 · Cited by 6 · see citing works
Self-citationXiao, Y., Spotorno, N., An, L., Bazinet, V., Hansen, J. Y., Strandberg, O. T., Shafiei, G., Behjat, H., Funck, T., Salvadó, G., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.17.648358 · Cited by 6 · see citing works
Local molecular and connectomic contributions of tau-related neurodegeneration
Nabizadeh, F., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., Beckett, L. A., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01339-1 · Cited by 5 · see citing works
Self-citationRate of tau propagation is a heritable disease trait in genetically diverse mouse strains
Welikovitch, L. A., Dujardin, S., Dunn, A. R., Fernandes, A. R., Khasnavis, A., Chibnik, L. B., Kaczorowski, C. C., & Hyman, B. T. (2023) · iScience · doi:10.1016/j.isci.2023.105983 · Cited by 5 · see citing works
Brain tissue electrical conductivity as a promising biomarker for dementia assessment using MRI
Chu, J., Yao, J., Li, Z., Li, J., Zhang, Y., Liu, C., He, H., Li, B., & Wei, H. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70270 · Cited by 4 · see citing works
An imaging genetics network model for clinical score assessment in Alzheimer's disease
Sheng, J., Yu, X., Zhang, Q., Wang, L., & Wang, B. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf234 · Cited by 3 · see citing works
Network-centric perspectives on neurodegeneration: Mechanisms, biomarkers, and therapeutic pathways
Gupta, R. V. (2026) · Brain Network Disorders · doi:10.1016/j.bnd.2025.12.004 · Cited by 3 · see citing works
Artificial Intelligence–Powered Quantification of Flortaucipir PET for Detecting Tau Pathology
Yoo, H. B., Kang, S. K., Shin, S. A., Kim, D., Choi, H., Kim, Y., Yi, D., Byun, M. S., Lee, D. Y., & Lee, J.-S. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.125.269636 · Cited by 2 · see citing works
Selective vulnerability of human synapses to soluble tau oligomers
Kadamangudi, S., Sánchez-Sánchez, L., Kayed, R., Limón, A., & Taglialatela, G. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261416539 · Cited by 2 · see citing works
Data-driven simulation of network-based tau spreading tailored to individual Alzheimer's patients
Kim, S.-W., Cho, H., Lee, Y., Lyoo, C. H., Seong, J., & Initiative, A. D. N. (2024) · Engineering With Computers · doi:10.1007/s00366-024-01988-y · Cited by 2 · see citing works
Cell-type-specific APOE4 cascade across the Alzheimer’s disease continuum
Shostak, D. M., Liang, Z., & Huang, Y. (2026) · Neuron · doi:10.1016/j.neuron.2026.04.024 · Cited by 1 · see citing works
Liu, L., Feng, T., Shi, M., Zou, H., & Lu, W. (2023) · Aquaculture and Fisheries · doi:10.1016/j.aaf.2023.08.002 · Cited by 1 · see citing works
Tau Ablation Rewires Brain Cell Programs in Health and Restores Function in Disease
Chimal-Juárez, E., Patel, H., Jury-Garfe, N., Dabin, L. C., Vidal, R., Kim, J., & Lasagna-Reeves, C. A. (2026) · bioRxiv · doi:10.64898/2026.05.12.724684
ApoE4 accelerates the condensate to amyloid transition of tauPreprint
Kumar, V. S. N. R., & Garai, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.22.689889
Raulin, A.-C., Doss, S. V., Heckman, M. G., Craver, E. C., Li, Z., Ikezu, T. C., Sekiya, H., Liu, C.-C., Martens, Y. A., Rosenberg, C. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26679095
Friend or Foe: How glial cells interfere with prion-like spreading
Iycattil, A. (2023) · Journal of High School Science · doi:10.64336/001c.84219
Towards unified multimodal cross-scale modelling of neurodegenerative diseases
Leng, F., & Yang, Z. (2026) · Brain Science Advances · doi:10.26599/bsa.2026.905010
Boccalini, C., Hristovska, I., Peretti, D. E., Mendes, A. J., Scheffler, M., Frisoni, G. B., & Garibotto, V. (2026) · The EANM Journal · doi:10.1016/j.eanmj.2026.100217
Zeng, Z.-M., Han, S.-S., Liu, Q., Zeng, C.-D., Jia, X., Bi, J., Liu, L.-C., Gao, T.-A., Liang, L., & Cheng, F.-X. (2026) · Communications Biology · doi:10.1038/s42003-026-10388-5
洋平, 近., Naoki, H., & Initiative, A. D. N. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.02.729568
Functional network contributions to longitudinal tau spread in Posterior Cortical Atrophy
Katsumi, Y., Eckbo, R., McGinnis, S. M., Sepulcre, J., Rabinovici, G. D., Joie, R. L., Dickerson, B. C., & Putcha, D. (2026) · npj Dementia · doi:10.1038/s44400-026-00101-y
Self-citationMutation-specific neuropathologic signatures in MAPT-associated frontotemporal lobar degeneration
Bogdani, M., Jadhav, V., Kraemer, B. C., Grabowski, T. J., Jayadev, S., Domoto‐Reilly, K., Liachko, N. F., Bird, T. D., Keene, C. D., & Latimer, C. S. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03047-w
Application of the Allen Human Brain Atlas in Alzheimer’s disease and Parkinson’s disease
Xiao, Y., Wang, S., Hou, Y., & Shang, H. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00566-0
A vascular component to the selective vulnerability of the medial temporal lobe to tau pathology
Doyon, V., Janelle, F., Sean, M., Vanderweyen, D., Cote, S. R., Huck, J., Tétreault, P., Lepage, J., Gutierrez, J., Bocti, C., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag301
- Authors
- Montal, V., Diez, I., Kim, C.-M., Orwig, W., Bueichekú, E., Gutiérrez-Zúñiga, R., Bejanin, A., Pegueroles, J., Dols-Icardo, O., Vannini, P., El-Fakhri, G., Johnson, K. A., Sperling, R. A., Fortea, J., & Sepulcre, J.
- Affiliations
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
- Harvard University (US)
- Universitat Autònoma de Barcelona (ES)
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autonoma de Barcelona, Barcelona 08041, Spain.
- Brigham and Women's Hospital (US)
- Corresponding author
- Sepulcre, Jorge
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2022-07-27
- Volume
- 14
- Issue
- 655
- Pages
- eabn7273-eabn7273
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC9942690
- OpenAlex
- W4288068424
- Cited by
- 52
- References
- 57
- Citations by year
- 2026: 13 · 2025: 7 · 2024: 17 · 2023: 13 · 2022: 2
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
- Funders
- National Institutes of Health (7p41eb022544-08)
- National Institute on Aging (R01AG061083, R01AG061811, R01AG046396, R01AG027435, R01AG061445, P01AG036694)
- National Institute of Biomedical Imaging and Bioengineering (P41-EB022544)
- 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
- tau propagation, Alzheimer's disease, neurofibrillary tangles, brain network topology, apolipoprotein E, GLT-1, gene expression gradients, connectomics, cortical circuits
- MeSH terms
- Alzheimer Disease, Apolipoproteins E, Brain, Humans, Neurofibrillary Tangles, tau Proteins
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