The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons
Open accessAbstract
Importance: Identifying genes and proteins for cognitive resilience (ie, targets that may be associated with slowing or preventing cognitive decline regardless of the presence, number, or combination of common neuropathologic conditions) provides a complementary approach to developing novel therapeutics for the treatment and prevention of Alzheimer disease and related dementias. Objective: To identify proteins associated with cognitive resilience via a proteome-wide association study of the human dorsolateral prefrontal cortex. Design, Setting, and Participants: This study used data from 391 community-dwelling older persons who participated in the Religious Orders Study and the Rush Memory and Aging Project. The Religious Orders Study began enrollment January 1, 1994, and the Rush Memory and Aging Project began enrollment September 1, 1997, and data were collected and analyzed through October 23, 2019. Exposures: Participants had undergone annual detailed clinical examinations, postmortem evaluations, and tandem mass tag proteomics analyses. Main Outcomes and Measures: The outcome of cognitive resilience was defined as a longitudinal change in cognition over time after controlling for common age-related neuropathologic indices, including Alzheimer disease, Lewy bodies, transactive response DNA-binding protein 43, hippocampal sclerosis, infarcts, and vessel diseases. More than 8000 high abundance proteins were quantified from frozen dorsolateral prefrontal cortex tissue using tandem mass tag and liquid chromatography-mass spectrometry. Results: There were 391 participants (273 women); their mean (SD) age was 79.7 (6.7) years at baseline and 89.2 (6.5) years at death. Eight cortical proteins were identified in association with cognitive resilience: a higher level of NRN1 (estimate, 0.140; SE, 0.024; P = 7.35 × 10-9), ACTN4 (estimate, 0.321; SE, 0.065; P = 9.94 × 10-7), EPHX4 (estimate, 0.198; SE, 0.042; P = 2.13 × 10-6), RPH3A (estimate, 0.148; SE, 0.031; P = 2.58 × 10-6), SGTB (estimate, 0.211; SE, 0.045; P = 3.28 × 10-6), CPLX1 (estimate, 0.136; SE, 0.029; P = 4.06 × 10-6), and SH3GL1 (estimate, 0.179; SE, 0.039; P = 4.21 × 10-6) and a lower level of UBA1 (estimate, -0.366; SE, 0.076; P = 1.43 × 10-6) were associated with greater resilience. Conclusions and Relevance: These protein signals may represent novel targets for the maintenance of cognition in old age.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“consistent with prior studies indicating its association with a slower rate of cognitive decline independent of AD and related dementia pathologies.”
From Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes (2025) · cites this paper as [49]
In the citing paper
“Yu et al. paralleled these network results, identifying associations between cognitive resilience and cortical proteins involved in synaptic, metabolic, and neurogenic functions [142].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [142]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neurotrophins: Roles in Neuronal Development and Function
Huang, E. J., & Reichardt, L. F. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.677 · Cited by 4,394
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260
Self-citationThe neuropathology of probable Alzheimer disease and mild cognitive impairment
Schneider, J. A., Arvanitakis, Z., Leurgans, S. E., & Bennett, D. A. (2009) · Annals of Neurology · doi:10.1002/ana.21706 · Cited by 935
Self-citationPerson-specific contribution of neuropathologies to cognitive loss in old age
Boyle, P. A., Yu, L., Wilson, R. S., Leurgans, S. E., Schneider, J. A., & Bennett, D. A. (2018) · Annals of Neurology · doi:10.1002/ana.25123 · Cited by 508
Self-citationGearing, M., Mirra, S. S., Hedreen, J. C., Sumi, S. M., Hansen, L. A., & Heyman, A. (1995) · Neurology · doi:10.1212/wnl.45.3.461 · Cited by 381
Much of late life cognitive decline is not due to common neurodegenerative pathologies
Boyle, P. A., Wilson, R. S., Yu, L., Barr, A. M., Honer, W. G., Schneider, J. A., & Bennett, D. A. (2013) · Annals of Neurology · doi:10.1002/ana.23964 · Cited by 323
Self-citationNeural reserve, neuronal density in the locus ceruleus, and cognitive decline
Wilson, R. S., Nag, S., Boyle, P. A., Hizel, L. P., Yu, L., Buchman, A. S., Schneider, J. A., & Bennett, D. A. (2013) · Neurology · doi:10.1212/wnl.0b013e3182897103 · Cited by 283
Self-citationAntidepressant actions of the exercise-regulated gene VGF
Hunsberger, J. G., Newton, S. S., Bennett, A., Duman, C. H., Russell, D., Salton, S. R., & Duman, R. S. (2007) · Nature Medicine · doi:10.1038/nm1669 · Cited by 270
Neuritin: A gene induced by neural activity and neurotrophins that promotes neuritogenesis
Naeve, G. S., Ramakrishnan, M., Kramer, R., Hevroni, D., Citri, Y., & Theill, L. E. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.6.2648 · Cited by 255
Higher brain BDNF gene expression is associated with slower cognitive decline in older adults
Buchman, A. S., Yu, L., Boyle, P. A., Schneider, J. A., De Jager, P. L., & Bennett, D. A. (2016) · Neurology · doi:10.1212/wnl.0000000000002387 · Cited by 239
Self-citation
Cited by
Sorted by citations
Organ aging signatures in the plasma proteome track health and disease
Oh, H. S.-H., Rutledge, J., Nachun, D., Pálovics, R., Abiose, O., Moran-Losada, P., Channappa, D., Urey, D. Y., Kim, K., Sung, Y. J., et al. (2023) · Nature · doi:10.1038/s41586-023-06802-1 · Cited by 634
Johnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561
Self-citationLithium deficiency and the onset of Alzheimer’s disease
Aron, L., Ngian, Z., Qiu, C., Choi, J., Liang, M., Drake, D., Hamplova, S. E., Lacey, E. K., Roche, P., Yuan, M., et al. (2025) · Nature · doi:10.1038/s41586-025-09335-x · Cited by 153
Self-citationSystems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118
“paralleled these network results, identifying associations between cognitive resilience and cortical proteins involved in synaptic, metabolic, and neurogenic functions [142].”
ResultSelf-citationInferring protein expression changes from mRNA in Alzheimer’s dementia using deep neural networks
Tasaki, S., Xu, J., Avey, D. R., Johnson, L., Petyuk, V., Dawe, R. J., Bennett, D. A., Wang, Y., & Gaiteri, C. (2022) · Nature Communications · doi:10.1038/s41467-022-28280-1 · Cited by 89
Self-citationRemembering your A, B, C's: Alzheimer's disease and ABCA1
Lewandowski, C. T., Laham, M. S., & Thatcher, G. R. J. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.01.011 · Cited by 76
Self-citationde 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 85
Translational approaches to understanding resilience to Alzheimer’s disease
Neuner, S. M., Telpoukhovskaia, M., Menon, V., O’Connell, K. M. S., Hohman, T. J., & Kaczorowski, C. C. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.02.005 · Cited by 68
“Beyond genetic mediators of resilience, unbiased proteomics has identified cortical proteins strongly associated with levels of resilience [35], including NRN1 (Table 1), which, similar to BDNF, is a neurotrophic factor known to play important roles in synaptic function and plasticity as well as maintenance of axonal…”
BackgroundJordà‐Siquier, T., Petrel, M., Kouskoff, V., Smailovic, U., Cordelières, F., Frykman, S., Müller, U., Mulle, C., & Barthet, G. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12546 · Cited by 63
Hurst, C. D., Pugh, D. A., Abreha, M. H., Duong, D. M., Dammer, E. B., Bennett, D. A., Herskowitz, J. H., & Seyfried, N. T. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100542 · Cited by 56
Self-citationLevites, Y., Dammer, E. B., Ran, Y., Tsering, W., Duong, D. M., Abreha, M. H., Gadhavi, J. D., Lolo, K., Trejo‐Lopez, J. A., Phillips, J., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101669 · Cited by 60
Self-citationLarge‐scale deep proteomic analysis in Alzheimer's disease brain regions across race and ethnicity
Seifar, F., Fox, E. J., Shantaraman, A., Liu, Y., Dammer, E. B., Modeste, E., Duong, D. M., Yin, L., Trautwig, A. N., Guo, Q., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14360 · Cited by 52
Self-citationFrequency and Underlying Pathology of Pure Vascular Cognitive Impairment
Oveisgharan, S., Dawe, R. J., Yu, L., Kapasi, A., Arfanakis, K., Hachinski, V., Schneider, J. A., & Bennett, D. A. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.3472 · Cited by 50
Self-citationFröhlich, A. S., Gerstner, N., Gagliardi, M., Ködel, M., Yusupov, N., Matosin, N., Czamara, D., Sauer, S., Roeh, S., Murek, V., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01742-z · Cited by 54
Kumar, P., Goettemoeller, A. M., Espinosa‐García, C., Tobin, B. R., Tfaily, A., Nelson, R. S., Natu, A., Dammer, E. B., Santiago, J. V., Malepati, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47028-7 · Cited by 53
Self-citationLee, A., Raghavan, N. S., Bhattarai, P., Siddiqui, T., Sariya, S., Reyes‐Dumeyer, D., Flowers, X. E., Cardoso, S. A. L., Jager, P. L. D., Bennett, D. A., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02431-6 · Cited by 49
Self-citationPsychosocial experiences are associated with human brain mitochondrial biology
Trumpff, C., Monzel, A. S., Sandi, C., Menon, V., Klein, H., Fujita, M., Lee, A., Petyuk, V., Hurst, C. D., Duong, D. M., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2317673121 · Cited by 46
Self-citationMa, X., Zhao, Y., Yang, T., Gong, N., Chen, X., Liu, G., & Xiao, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1058780 · Cited by 44
Higginbotham, L. A., Carter, E. K., Dammer, E. B., Haque, R. U., Johnson, E. C. B., Duong, D. M., Yin, L., Jager, P. L. D., Bennett, D. A., Felsky, D., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106286 · Cited by 41
Self-citationSynapse vulnerability and resilience underlying Alzheimer’s disease
Taddei, R. N., & Duff, K. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105557 · Cited by 49
Associations of cortical SPP1 and ITGAX with cognition and common neuropathologies in older adults
Lopes, K. D. P., Yu, L., Shen, X., Qiu, Y., Tasaki, S., Iatrou, A., Beeri, M. S., Seyfried, N. T., Menon, V., Wang, Y., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13474 · Cited by 37
Self-citationKey Disease Mechanisms Linked to Alzheimer’s Disease in the Entorhinal Cortex
Bottero, V., Powers, D., Yalamanchi, A., Quinn, J. P., & Potashkin, J. A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22083915 · Cited by 35
Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis
Haytural, H., Benfeitas, R., Schedin‐Weiss, S., Bereczki, E., Rezeli, M., Unwin, R. D., Wang, X., Dammer, E. B., Johnson, E. C. B., Seyfried, N. T., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-01090-8 · Cited by 34
Self-citationCortical Proteins and Individual Differences in Cognitive Resilience in Older Adults
Zammit, A. R., Yu, L., Petyuk, V., Schneider, J. A., Jager, P. L. D., Klein, H.-U., Bennett, D. A., & Buchman, A. S. (2022) · Neurology · doi:10.1212/wnl.0000000000200017 · Cited by 34
Self-citationDysregulation of RNA modification systems in clinical populations with neurocognitive disorders
Knight, H. M., Öz, M. D., & PerezGrovas‐Saltijeral, A. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.385858 · Cited by 33
Entorhinal cortex vulnerability to human APP expression promotes hyperexcitability and tau pathology
Goettemoeller, A. M., Banks, E., Kumar, P., Olah, V. J., McCann, K. E., South, K., Ramelow, C. C., Eaton, A., Duong, D. M., Seyfried, N. T., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52297-3 · Cited by 30
Self-citationGalvin, J. E., Kleiman, M. J., Chrisphonte, S., Cohen, I., Disla, S., Galvin, C. B., Greenfield, K. K., Moore, C., Rawn, S., Riccio, M. L., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215077 · Cited by 32
Rabphilin-3A as a novel target to reverse α-synuclein-induced synaptic loss in Parkinson’s disease
Ferrari, E. S., Scheggia, D., Zianni, E., Italia, M., Brumana, M., Palazzolo, L., Parravicini, C., Pilotto, A., Padovani, A., Marcello, E. E., et al. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106375 · Cited by 25
Haytural, H., Jordá-Siquier, T., Winblad, B. G., Mulle, C., Tjernberg, L. O., Granholm, A., Frykman, S., & Barthet, G. (2021) · Brain Communications · doi:10.1093/braincomms/fcab079 · Cited by 25
Guo, L., Ni, Z., Wei, G., Cheng, W., Huang, X., & Yue, W. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02236-x · Cited by 23
Wang, H., Dou, S., Wang, C., Gao, W., Cheng, B., & Yan, F. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03451-3 · Cited by 23
Ghatak, S., Diedrich, J. K., Talantova, M. V., Bhadra, N., Scott, H. R., Sharma, M., Albertolle, M. E., Schork, N. J., Yates, J. R., & Lipton, S. A. (2024) · Advanced Science · doi:10.1002/advs.202400545 · Cited by 22
Brain 5-hydroxymethylcytosine alterations are associated with Alzheimer’s disease neuropathology
Zhao, J., Gu, T., Gao, C., Miao, G., Palma‐Gudiel, H., Yu, L., Yang, J., Wang, Y., Li, Y., Lim, J.-H., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58159-w · Cited by 23
Self-citationSynapse vulnerability and resilience across the clinical spectrum of dementias
Taddei, R. N., & Duff, K. (2025) · Nature Reviews Neurology · doi:10.1038/s41582-025-01094-7 · Cited by 26
Shantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen‐Plotkin, A. S., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00749-1 · Cited by 23
Self-citationYusri, K., Kumar, S., Fong, S., Gruber, J., & Sorrentino, V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126793 · Cited by 23
Ramos‐Miguel, A., Jones, A. A., Petyuk, V., Barakauskas, V., Barr, A. M., Leurgans, S. E., Jager, P. L. D., Casaletto, K. B., Schneider, J. A., Bennett, D. A., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02282-7 · Cited by 20
Self-citationAducanumab and the “post-amyloid” era of Alzheimer research?
Musiek, E. S., & Bennett, D. A. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.007 · Cited by 20
Self-citationNeuropathologic Correlates of Human Cortical Proteins in Alzheimer Disease and Related Dementias
Yu, L., Boyle, P. A., Wingo, A. P., Yang, J., Wang, T., Buchman, A. S., Wingo, T. S., Seyfried, N. T., Levey, A. I., Jager, P. L. D., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000013252 · Cited by 19
Self-citationNg, B., Tasaki, S., Greathouse, K. M., Walker, C. K., Zhang, A., Covitz, S. C., Cieslak, M., Weber, A. J., Adamson, A. B., Andrade, J. P., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01788-z · Cited by 21
Self-citationCortical proteins may provide motor resilience in older adults
Buchman, A. S., Yu, L., Oveisgharan, S., Petyuk, V., Tasaki, S., Gaiteri, C., Wilson, R. S., Grodstein, F., Schneider, J. A., Klein, H., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-90859-3 · Cited by 18
Self-citationm6A mRNA methylation in human brain is disrupted in Lewy body disorders
Cruz, B. M. D. L., Gell, C., Markus, R., Macdonald, I. A., Fray, R. G., & Knight, H. M. (2023) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12885 · Cited by 17
Associations of VGF with Neuropathologies and Cognitive Health in Older Adults
Yu, L., Petyuk, V., Lopes, K. D. P., Tasaki, S., Menon, V., Wang, Y., Schneider, J. A., Jager, P. L. D., & Bennett, D. A. (2023) · Annals of Neurology · doi:10.1002/ana.26676 · Cited by 16
Self-citationQuantifying longitudinal cognitive resilience to Alzheimer's disease and other neuropathologies
Wagner, M., Wilson, R. S., Leurgans, S. E., Boyle, P. A., Bennett, D. A., Grodstein, F., & Capuano, A. W. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12576 · Cited by 18
Self-citationMorgan, G. R., & Carlyle, B. C. (2024) · Scientific Reports · doi:10.1038/s41598-024-57104-z · Cited by 17
Li, Z., Heckman, M. G., Kanekiyo, T., Martens, Y. A., Day, G. S., Vassilaki, M. E., Liu, C., Bennett, D. A., Petersen, R. C., Zhao, N., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200387 · Cited by 16
Self-citationVialle, R. A., Lopes, K. D. P., Li, Y., Ng, B., Schneider, J. A., Buchman, A. S., Wang, Y., Farfel, J. M., Barnes, L. L., Wingo, A. P., et al. (2025) · Genome Medicine · doi:10.1186/s13073-025-01444-6 · Cited by 19
Self-citationMolecular hallmarks of excitatory and inhibitory neuronal resilience to Alzheimer’s disease
Castanho, I., Yeganeh, P. N., Boix, C. A., Morgan, S. L., Mathys, H., Prokopenko, D., White, B., Soto, L. M., Pegoraro, G., Shah, S. A., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00892-3 · Cited by 22
Self-citationResilience 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 16
Telpoukhovskaia, M. A., Hadad, N., Gurdon, B., Dai, Y., Ouellette, A. R., Neuner, S. M., Dunn, A. R., Willcox, J. A. L., Wu, Y., Dumitrescu, L. C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.12.487877 · Cited by 13
Self-citationLee, A., Ma, Y., Yu, L., Dawe, R. J., Aubin, C., Arfanakis, K., Mayeux, R. P., Bennett, D. A., Klein, H., & Jager, P. L. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.25.524961 · Cited by 13
Self-citationProteomic Insight Into Alzheimer's Disease Pathogenesis Pathways
Ryu, T., Kim, K., Asiimwe, N., & Na, C. H. (2025) · PROTEOMICS · doi:10.1002/pmic.202400298 · Cited by 12
Buchman, A. S., Yu, L., Klein, H., Zammit, A. R., Oveisgharan, S., Grodstein, F., Tasaki, S., Levey, A. I., Seyfried, N. T., & Bennett, D. A. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac105 · Cited by 13
Self-citationJoo, Y. Y., Cha, J., Jeremy Freese, A., & Hayes, M. G. (2022) · Genes · doi:10.3390/genes13081320 · Cited by 13
Differential blood DNA methylation across Lewy body dementias
Nasamran, C. A., Sachan, A. N. S., Mott, J., Kuras, Y. I., Scherzer, C. R., Study, H. B., Ricciardelli, E., Jepsen, K., Edland, S. D., Fisch, K. M., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12156 · Cited by 12
Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes
Mei, Z., Liu, J., Bennett, D. A., Seyfried, N., Wingo, A. P., & Wingo, T. S. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70206 · Cited by 11
“49,50 Joint analysis in different cognitive domains also revealed many differentially expressed proteins, with 1976 for episodic memory, 1576 for working memory, 1501 for semantic memory, 461 for perceptual speed, and four for visuospatial ability (Figure S2, Table S7-S11).”
Self-citationBuchman, A. S., & Bennett, D. A. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.853330 · Cited by 11
Self-citationRabphilin-3A Drives Structural Modifications of Dendritic Spines Induced by Long-Term Potentiation
Franchini, L., Stanic, J., Barzasi, M., Zianni, E., Mauceri, D., Luca, M. D., & Gardoni, F. (2022) · Cells · doi:10.3390/cells11101616 · Cited by 11
Association of AK4 Protein From Stem Cell–Derived Neurons With Cognitive Reserve
Yu, L., Hsieh, Y., Pearse, R. V., Wang, Y., Petyuk, V., Schneider, J. A., Buchman, A. S., Seyfried, N. T., Jager, P. L. D., Young‐Pearse, T. L., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000201120 · Cited by 13
Self-citationBuchman, A. S., Yu, L., Klein, H., Zammit, A. R., Oveisgharan, S., Nag, S., Tickotsky, N., Wolf-Levy, H., Seyfried, N. T., Morgenstern, D., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000209223 · Cited by 9
Self-citationZhu, M., Hou, T., Jia, L., Tan, Q., Qiu, C., & Du, Y. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.12.014 · Cited by 10
Genetic background influences the 5XFAD Alzheimer's disease mouse model brain proteome
Hurst, C. D., Dunn, A. R., Dammer, E. B., Duong, D. M., Shapley, S. M., Seyfried, N. T., Kaczorowski, C. C., & Johnson, E. C. B. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1239116 · Cited by 10
Self-citationInterneuron transcriptomics reveals pathologic markers of Alzheimer's disease progression
Chen, K. S., Noureldein, M. H., Rigan, D. M., Hayes, J. M., Loi, K. J., Hur, J., Savelieff, M. G., & Feldman, E. L. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107012 · Cited by 9
DNA methylation signature of a lifestyle-based resilience index for cognitive health
Zhang, W. Y., Lukacsovich, D., Young, J. I., Gomez, L., Schmidt, M. A., Martin, E. R., Kunkle, B. W., Chen, X. S., O’Shea, D. M., Galvin, J. E., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01733-7 · Cited by 11
Zammit, A. R., Bennett, D. A., & Buchman, A. S. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1303912 · Cited by 8
Self-citationThe prognostic significance of epoxide hydrolases in colorectal cancer
Cao, L., Ba, Y., Chen, F., Li, D., Zhang, S., & Zhang, H. (2025) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2024.101912 · Cited by 7
Abdalla, M., Ibrahim, M., Al-Korbi, N., Alkuwari, S., Pedersen, S., & Rathore, H. (2025) · Biomedicines · doi:10.3390/biomedicines13092073 · Cited by 8
Buchman, A. S., Wang, T., Oveisgharan, S., Zammit, A. R., Yu, L., Li, P., Hu, K., Hausdorff, J. M., Lim, A. S. P., & Bennett, D. A. (2023) · Sensors · doi:10.3390/s23084152 · Cited by 8
Self-citationMitochondrial Respiratory Chain Protein Co-Regulation in the Human Brain
Trumpff, C., Owusu-Ansah, E., Klein, H., Lee, A., Petyuk, V., Wingo, T. S., Wingo, A. P., Thambisetty, M., Ferrucci, L., Seyfried, N. T., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2022.e09353 · Cited by 7
Self-citationZammit, A. R., Klein, H.-U., Yu, L., Levey, A. I., Seyfried, N. T., Wingo, A. P., Wingo, T. S., Schneider, J. A., Bennett, D. A., & Buchman, A. S. (2024) · Neurology · doi:10.1212/wnl.0000000000207816 · Cited by 6
Self-citationComprehensive analysis of the immune implication of EPHX4 gene in laryngeal squamous cell carcinoma
Shen, N., Gao, G., Lu, X., Jin, J., Lin, L., Qian, M., & Yang, Q. (2024) · Brazilian Journal of Otorhinolaryngology · doi:10.1016/j.bjorl.2024.101411 · Cited by 5
Yao, Q., dos Santos, A. C. M., Zhang, H., Mañas, A., Hussaini, A., Kim, U., Xu, C., Basheer, S., Tasaki, S., & Xiang, J. (2023) · Biomolecules · doi:10.3390/biom13060970 · Cited by 5
Self-citationAssociations of Brain Morphology with Cortical Proteins of Cognitive Resilience
Poole, V. N., Ridwan, A. R., Arfanakis, K., Dawe, R. J., Seyfried, N. T., Jager, P. L. D., Schneider, J. A., Leurgans, S. E., Yu, L., & Bennett, D. A. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.02.005 · Cited by 6
Self-citationSensi, S. L., Russo, M., & Tiraboschi, P. (2023) · Handbook of clinical neurology · doi:10.1016/b978-0-323-85538-9.00015-8 · Cited by 5
Exome sequencing identifies genes for socioeconomic status in 350,770 individuals
Wu, X., Yang, L., Wu, B., Liu, W., Deng, Y., Kang, J., Dong, Q., Sahakian, B. J., Feng, J., Cheng, W., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414018122 · Cited by 4
Barzasi, M., Spinola, A., Costa, A., Pavinato, L., Brusco, A., Marcello, E. E., Luca, M. D., & Gardoni, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-93403-9 · Cited by 4
Exploring cortical proteins underlying the relation of neuroticism to cognitive resilience
Grodstein, F., Yu, L., Jager, P. L. D., Levey, A. I., Seyfried, N. T., & Bennett, D. A. (2022) · Aging Brain · doi:10.1016/j.nbas.2022.100031 · Cited by 3
Self-citationKazemi, M., Esmaeili‐Mahani, S., Abbasnejad, M., & Sheibani, V. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115542 · Cited by 4
Cytokine expression profile in the human brain of older adults
Godoy, J. B., Vialle, R. A., dos Santos, L., Raittz, R. T., Wang, Y., Menon, V., Jager, P. L. D., Schneider, J. A., Tasaki, S., Bennett, D. A., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03552-x · Cited by 4
Self-citationKumar, P., Goettemoeller, A. M., Espinosa‐García, C., Tobin, B. R., Tfaily, A., Nelson, R. S., Natu, A., Dammer, E. B., Santiago, J. V., Malepati, S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.17.541038 · Cited by 4
Self-citationCastanho, I., Yeganeh, P. N., Boix, C. A., Morgan, S. L., Mathys, H., Prokopenko, D., White, B., Soto, L. M., Pegoraro, G., Shah, S. A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.13.632801 · Cited by 4
Self-citationNeuropathologic Profiles and Associated Cognitive Trajectories in Community-Living Older Adults
Yu, L., Wang, T., Du, L., Bennett, D. A. A., Schneider, J. A., & Boyle, P. A. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.54354 · Cited by 3
Self-citationNRN1 as a therapeutic target for Alzheimer's disease
Pugh, D. A., Cary, G., Greathouse, K. M., Nassour-Caswell, L., Hobby, E. L., Seyfried, N., & Herskowitz, J. H. (2026) · Alzheimer's & Dementia · doi:10.1002/alz.71149 · Cited by 3
Self-citationOurry, V., Wagner, M., Groot, C., Boyle, R. T., Vogel, J. W., Bartrés‐Faz, D., & Villeneuve, S. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71664 · Cited by 3
Krunic, A., Bellio, T. A., Cohen, B. Z., Labadorf, A. T., Stein, T. D., Lin, H., Mellott, T. J., & Blusztajn, J. K. (2025) · Aging Cell · doi:10.1111/acel.70241 · Cited by 5
Strategies for translating proteomics discoveries into drug discovery for dementia
Halder, A., & Drummond, E. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.373681 · Cited by 4
Adapting the reserve and resilience framework for motor and other aging phenotypes
Blumen, H. M., & Buchman, A. S. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.07.016 · Cited by 3
G-protein coupled estrogen receptor 1, amyloid-β, and tau tangles in older adults
Oveisgharan, S., Yu, L., Lopes, K. D. P., Petyuk, V., Tasaki, S., Vialle, R. A., Menon, V., Wang, Y., Jager, P. L. D., Schneider, J. A., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06272-9 · Cited by 4
Self-citationMcDade, E., & Ibanez, L. (2022) · Neurology · doi:10.1212/wnl.0000000000200135 · Cited by 3
Hurst, C., Pugh, D. A., Abreha, M. H., Duong, D., Dammer, E., Bennett, D. A., Herskowitz, J. H., & Seyfried, N. (2022) · bioRxiv · doi:10.1101/2022.06.15.496285 · Cited by 3
Self-citationThe YTHDF proteins shape the brain gene signatures of Alzheimer’s diseasePreprint
Tasaki, S., Avey, D. R., Kearns, N. A., Yu, C., Tissera, S. L. D., Vyas, H., Cheng, L., Xu, J., Iatrou, A., Flood, D. J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.23.619425 · Cited by 3
Self-citationNeurodegeneration risk variants promote lysosomal TMEM106B fibril accumulationPreprint
Replogle, J. M., Marks, J. D., Fernandez, M. G., Yuan, H., Yu, D., Winters, E., Jawahar, V. M., Deshmukh, R., Sutanto, R., Kowal, I., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.26.714634 · Cited by 6
Self-citation‘Hidden’ HCN channels permit pathway-specific synaptic amplification in L2/3 pyramidal neurons
Oláh, V. J., Wu, J., Kaczmarek, L. K., & Rowan, M. J. (2024) · doi:10.7554/elife.96002.1 · Cited by 2
Espinosa‐García, C., Srivastava, U., Kumar, P., Kour, D., Malepati, S., Tobin, B. R., Xiao, H., Sunna, S. N., Bowen, C. A., Cheng, L., et al. (2026) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-026-00024-1 · Cited by 3
Self-citationGrodstein, F., Lemos, B., Yang, J., Lopes, K. D. P., Vialle, R. A., Seyfried, N. T., Wang, Y., Shireby, G. L., Hannon, E. J., Thomas, A. J., et al. (2024) · Epigenetics · doi:10.1080/15592294.2024.2392050 · Cited by 2
Self-citationReducing Your Risk of Alzheimer’s Dementia: Building a Better Brain as We Age
Bennett, D. A. (2021) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acab052 · Cited by 2
Self-citationInput-specific gating of NMDA amplification via HCN channels in mouse L2/3 pyramidal neuronsPreprint
Oláh, V. J., Wu, J., Kaczmarek, L. K., & Rowan, M. J. (2025) · eLife · doi:10.7554/elife.96002.2 · Cited by 2
Zhao, K., Xie, H., Fonzo, G. A., Carlisle, N. B., Jacobs, T., Osorio, R. S., Church, A., Lin, F. V., Zhang, Y., & the ADNI Study Group (2026) · Science Advances · doi:10.1101/2025.07.20.665707 · Cited by 2
Almodóvar-Payá, C., París-Gómez, I., Latorre-Guardia, M., Guardiola-Ripoll, M., Catalán, R., Arias, B., Penadés, R., & Fatjó‐Vilas, M. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111175 · Cited by 1
Peng, S., Wang, E., Wang, M., Wang, X., Yu, K., Fu, Y., Poudel, S., Ho, L., Narayan, S., Huffman, D. M., et al. (2024) · doi:10.1101/2024.03.01.582970 · Cited by 1
Metadata
- Authors
- Yu, L., Tasaki, S., Schneider, J. A., Arfanakis, K., Duong, D. M., Wingo, A. P., Wingo, T. S., Kearns, N., Thatcher, G. R. J., Seyfried, N. T., Levey, A. I., De Jager, P. L., & Bennett, D. A.
- Affiliations
- Rush University Medical Center (US)
- Emory University (US)
- University of Illinois Chicago (US)
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, New York
- Corresponding author
- Yu, Lei
- ORCID
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2020-11-01
- Volume
- 77
- Issue
- 11
- Pages
- 1172
- ISSN
- 2168-622X (ISSN-L)
- PMC
- PMC7330835
- OpenAlex
- W3039778201
- Cited by
- 127
- References
- 42
- Citations by year
- 2026: 13 · 2025: 27 · 2024: 28 · 2023: 19 · 2022: 24 · 2021: 13 · 2020: 2
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R01AG017917, R01AG056533, R01AG015819, P30AG010161, P50AG025688)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- cognitive resilience, dorsolateral prefrontal cortex, proteome-wide association study, Alzheimer's disease, dementia, cognitive decline, community-dwelling older adults, NRN1, ACTN4, VGLUT1, SLC17A9
- MeSH terms
- Rabphilin-3A, Actinin, Adaptation, Psychological, Aged, Aged, 80 and over, Epoxide Hydrolases, Female, Humans, Male, Nerve Tissue Proteins, Neuropeptides, Proteins, Molecular Chaperones, Vesicular Transport Proteins, Adaptor Proteins, Vesicular Transport, Ubiquitin-Activating Enzymes, Intracellular Signaling Peptides and Proteins, Adaptor Proteins, Signal Transducing, Independent Living, GPI-Linked Proteins, Cognitive Dysfunction
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
