Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging

Abstract excerpt

We previously identified 529 proteins that had been reported by multiple different studies to change their expression level with age in human plasma. In the present study, we measured the q-value and age coefficient of these proteins in a plasma proteomic dataset derived from 4263 individuals. A bioinformatics enrichment analysis of proteins that significantly trend toward increased expression with age strongly...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Adipose Tissue and Metabolism
• Share to GDF15 and Related Biomarkers
• Share to Genetics, Aging, and Longevity in Model Organisms