The potential of plasma proteomic clocks in detecting AD‐related phenotypes and co‐morbidities possibly constitute confounding factors, compromising the performance of proteomic aging models is illustrated.
Abstract
Proteomic aging clocks detect disease‐related systemic and organ‐specific changes and are easily accessible by minimally invasive blood draws. However, their potential in Alzheimer's disease (AD) assessment remains unestablished.
These five metabolic signatures of epigenetic age acceleration (EAA) exhibited significant associations with aging‐related phenotypes including higher disease risk, poorer health status, and adverse clinical indicators including Gallstones, chronic kidney disease, and hepatitis.
AD blood‐based biomarker–cognition associations were domain‐differentiated and context‐dependent: Concurrent associations did not reliably indicate associations with cognition 6 years later, and only p‐tau181 showed formal evidence of relative memory‐versus‐executive selectivity.
Deirdre M. O'Shea, James E. Galvin· Alzheimer's & Dementia· 0 citations
This review synthesizes current evidence on proteomic biomarkers across major physiological systems, including the immune, metabolic/endocrine, cardiovascular, musculoskeletal, and nervous systems, and highlights shared molecular signatures that underpin multisystem decline.
Ying Luo, Yu-Lin Xiao, Jie-Hua Chen et al.· Frontiers in Aging· 0 citations
Biological age (BA) has been proposed as a complementary construct to chronological age (CA) for quantifying interindividual heterogeneity in aging trajectories. Biological aging clocks (BACs) integrate molecular, clinical and multi-omics biomarkers to estimate aging-related phenotypes beyond CA. This narrative review...
C. Fermín-Martínez, S. Garcia-Gonzalez, Elizabeth Garcia L. Castañeda et al.· Revista de investigacion cli...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.