학술논문

Proteome Network Analysis Identifies Potential Biomarkers for Brain Aging
Document Type
article
Source
Journal of Alzheimer's Disease. 96(4)
Subject
Biomedical and Clinical Sciences
Biological Psychology
Clinical Sciences
Neurosciences
Psychology
Neurodegenerative
Cardiovascular
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
Aging
Alzheimer's Disease
Dementia
Acquired Cognitive Impairment
Brain Disorders
Clinical Research
2.1 Biological and endogenous factors
Aetiology
Neurological
Humans
Proteome
Proteomics
Brain
Alzheimer Disease
Biomarkers
Magnetic Resonance Imaging
Inflammation
Alzheimer's disease
biomarkers
dementia
endophenotypes
magnetic resonance imaging
proteomics
Alzheimer’s disease
Cognitive Sciences
Neurology & Neurosurgery
Clinical sciences
Biological psychology
Language
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.