ArticleJournal of Alzheimer's disease : JAD2023
Proteome Network Analysis Identifies Potential Biomarkers for Brain Aging.
Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- Characterization of the plasma proteomic profile of dual trajectories in cognitive status and physical performance.GeroScience · 2026Article
- A network-guided penalized regression with application to proteomics data.Bioinformatics advances · 2026Article
- Plasma chaperone-mediated autophagy associated protein HSPA8 combined with white matter hyperintensities serves as the predictive marker of early-stage Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
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Authors and funding
22 authors at 11 institutions in 3 countries.
Funding
Abstract
backgroundAlzheimer's disease and related dementias (ADRD) involve biological processes that begin years to decades before onset of clinical symptoms. The plasma proteome can offer insight into brain aging and risk of incident dementia among cognitively healthy adults.
objectiveTo identify biomarkers and biological pathways associated with neuroimaging measures and incident dementia in two large community-based cohorts by applying a correlation-based network analysis to the plasma proteome.
methodsWeighted co-expression network analysis of 1,305 plasma proteins identified four modules of co-expressed proteins, which were related to MRI brain volumes and risk of incident dementia over a median 20-year follow-up in Framingham Heart Study (FHS) Offspring cohort participants (n = 1,861). Analyses were replicated in the Cardiovascular Health Study (CHS) (n = 2,117, mean 6-year follow-up).
resultsTwo proteomic modules, one related to protein clearance and synaptic maintenance (M2) and a second to inflammation (M4), were associated with total brain volume in FHS (M2: p = 0.014; M4: p = 4.2×10-5). These modules were not significantly associated with hippocampal volume, white matter hyperintensities, or incident all-cause or AD dementia. Associations with TCBV did not replicate in CHS, an older cohort with a greater burden of comorbidities.
conclusionsProteome networks implicate an early role for biological pathways involving inflammation and synaptic function in preclinical brain atrophy, with implications for clinical dementia.
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