Age-related brain atrophy is not a homogenous process: Different functional brain networks associate differentially with aging and blood factors.

ABSTRACT: Aging is characterized by a progressive loss of brain volume at an estimated rate of 5% per decade after age 40. While these morphometric changes, especially those affecting gray matter and atrophy of the temporal lobe, are predictors of cognitive performance, the strong association with aging obscures the potential parallel, but more specific role, of individual subject physiology. Here, we studied a cohort of 554 human subjects who were monitored using structural MRI scans and blood immune protein concentrations. Using machine learning, we derived a cytokine clock (CyClo), which predicted age with good accuracy (Mean Absolute Error = 6 y) based on the expression of a subset of immune proteins. These proteins included, among others, Placenta Growth Factor (PLGF) and Vascular Endothelial G

SUBMITTER: Markov NT 

PROVIDER: S-EPMC9894212 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature