A Multi-Omics Study of Cognitive Resilience to Alzheimer’s Disease
Open accessAbstract
Alzheimer’s disease (AD) is the most severe form of dementia. While significant efforts have been made to identify AD risk factors and develop therapeutics, much less attention has been given to neurobiological factors and molecular signatures associated with cognitive resilience. Substantial evidence suggests that modifiable factors, such as physical and mental activity, may contribute to cognitive reserve and resilience. To this end, we developed a resilient cohort of paired genetics, transcriptomics and proteomics data from the prefrontal cortex of 282 cognitively normal older adults. We conducted extensive preprocessing and rigorous quality control (QC), including QC on sequence metrics and sample matching across multiomics. This cohort can be leveraged for identification of molecular signatures of cognitive resilience to AD and is freely shared with the research community.
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.
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression
Bai, B., Wang, X., Li, Y., Chen, P.-C., Yu, K., Dey, K. K., Yarbro, J. M., Han, X., Lutz, B. M., Rao, S., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.015 · Cited by 632 · see citing works
Self-citationThe age factor in Alzheimer’s disease
Guerreiro, R., & Bras, J. (2015) · Genome Medicine · doi:10.1186/s13073-015-0232-5 · Cited by 415 · see citing works
JUMP: a tag-based database search tool for peptide identification with high sensitivity and accuracy
Wang, X., Li, Y., Wu, Z., Wang, H., Tan, H., & Peng, J. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o114.039586 · Cited by 194 · see citing works
Self-citationNiu, M., Cho, J.-H., Kodali, K., Pagala, V., High, A. A., Wang, H., Wu, Z., Li, Y., Bi, W., Zhang, H., et al. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04415 · Cited by 118 · see citing works
Self-citationLalli, M. A., Bettcher, B. M., Arcila, M. L., Garcia, G., Guzman, C., Madrigal, L., Ramirez, L., Acosta-Uribe, J., Baena, A., Wojta, K. J., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.131 · Cited by 73 · see citing works
Selected Findings from the Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Wilson, R. S., Arvanitakis, Z., Boyle, P. A., de Toledo-Morrell, L., & Schneider, J. A. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-129007 · Cited by 69 · see citing works
Self-citation
Flagged first, then by citations
- Authors
- Wang, E., Xie, B., Wang, M., Fu, Y., Wang, X., Li, Y., Xu, P., Liu, H., Ho, L., Tu, Z., Mobbs, C., Gaiteri, C., Ehrlich, M. E., Bennett, D. A., Haroutunian, V., Peng, J., & Zhang, B.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- St. Jude Children's Research Hospital (US)
- University of Tennessee Health Science Center (US)
- SUNY Upstate Medical University (US)
- Rush University Medical Center (US)
- James J. Peters VA Medical Center (US)
- Corresponding author
- Zhang, Bin
- ORCID
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2026-09-06
- PMC
- PMC13684636
- OpenAlex
- W7210281326
- Cited by
- 0
- References
- 7
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1s10od026880-01, 1s10od030463-01, UL1TR004419)
- National Institute on Aging (R01AG017917, R01AG057907, R01AG063819, U01AG046170, RF1AG054014, U01AG046152, R01AG068030, R01AG015819, RF1AG057440, P30AG010161, RF1AG062661, RF1AG074010, R01AG062355, U01AG061356, U01AG052411, P30AG072975)
- National Institute on Drug Abuse (R01DA051191)
- National Institute of Allergy and Infectious Diseases (R21AI149013)
- National Institute of Dental and Craniofacial Research (R01DE029322)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- Alzheimer's disease, cognitive resilience, cognitive reserve, prefrontal cortex, multi-omics, transcriptomics, proteomics, genomics, older adults, cognitively normal, molecular signatures, dementia risk factors
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
