Cited by 212Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsAdvanced Proteomics Techniques and Applications

Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk

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Walker, Keenan A., Chen, Jingsha, Zhang, Jingning, Fornage, Myriam, Yang, Yunju, Zhou, Linda, Grams, Morgan E., Tin, Adrienne +17 more·2021·Nature Aging

Abstract

The plasma proteomic changes that precede the onset of dementia could yield insights into disease biology and highlight new biomarkers and avenues for intervention. We quantified 4,877 plasma proteins in nondemented older adults in the Atherosclerosis Risk in Communities cohort and performed a proteome-wide association study of dementia risk over five years (n = 4,110; 428 incident cases). Thirty-eight proteins were associated with incident dementia after Bonferroni correction. Of these, 16 were also associated with late-life dementia risk when measured in plasma collected nearly 20 years earlier, during mid-life. Two-sample Mendelian randomization causally implicated two dementia-associated proteins (SVEP1 and angiostatin) in Alzheimer's disease. SVEP1, an immunologically relevant cellular adhesion protein, was found to be part of larger dementia-associated protein networks, and circulating levels were associated with atrophy in brain regions vulnerable to Alzheimer's pathology. Pathway analyses for the broader set of dementia-associated proteins implicated immune, lipid, metabolic signaling and hemostasis pathways in dementia pathogenesis.

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  • Studies have demonstrated that a proinflammatory state, inflammatory disease (e.g., rheumatoid arthritis), and immune challenges (e.g., acute infection) all increase the risk for dementia over multiple decades.

    “Studies have demonstrated that a proinflammatory state (148–150), inflammatory disease (e.g., rheumatoid arthritis) (151), and immune challenges (e.g., acute infection) (152, 153) all increase the risk for dementia over multiple decades.”

    From Connecting aging biology and inflammation in the omics era (2022) · cites this paper as [150]

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References 115 · Cited by 212

Research works printed but not linked: 3

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Authors
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., Wu, A., Sullivan, K. J., Ganz, P., Zeger, S. L., Gudmundsson, E. F., Emilsson, V., Launer, L. J., Jennings, L. L., Gudnason, V., Chatterjee, N., Gottesman, R. F., Mosley, T. H., Boerwinkle, E., Ballantyne, C. M., & Coresh, J.
Affiliations
  • Johns Hopkins University (US)
  • Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases (US)
  • University of Mississippi Medical Center (US)
  • Baylor College of Medicine (US)
  • University of California, San Francisco (US)
  • Icelandic Heart Association (IS)
  • National Institutes of Health (US)
  • University of Iceland (IS)
Corresponding author
  • Walker, Keenan A.
  • Coresh, Josef
Venue
Nature Aging
Published
2021-05-14
Volume
1
Issue
5
Pages
473-489
ISSN
2662-8465 (ISSN-L)
OpenAlex
W3161583477
Cited by
212
References
115
Citations by year
2026: 44 · 2025: 61 · 2024: 56 · 2023: 29 · 2022: 21 · 2021: 1
FWCI
19.53
Type
journal article
Language
en
Open access
Locations
  • Nature Aging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • The Novartis Repository (Novartis) (submittedVersion)
Funders
  • U.S. Department of Health & Human Services | NIH | National Institute on Aging (AG064122, AG052409, AG052573)
  • U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (HL134320)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
dementia risk, plasma proteomics, proteome-wide association study, Alzheimer's disease, SVEP1, angiostatin, biomarkers, late-onset dementia, brain atrophy, immune pathways, lipid metabolism, hemostasis, metabolic signaling, Atherosclerosis Risk in Communities Study, Mendelian randomization
MeSH terms
Aged, Alzheimer Disease, Brain, Humans, Proteome, Proteomics

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