Kidney-specific methylation patterns correlate with kidney function and are lost upon kidney disease progression.

ABSTRACT:

Background

Chronological and biological age correlate with DNA methylation levels at specific sites in the genome. Linear combinations of multiple methylation sites, termed epigenetic clocks, can inform us the chronological age and predict multiple health-related outcomes. However, why some sites correlating with lifespan, healthspan, or specific medical conditions remain poorly understood. Kidney fibrosis is the common pathway for chronic kidney disease, which affects 10% of European and US populations.

Results

Here we identify epigenetic clocks and methylation sites that correlate with kidney function. Moreover, we identify methylation sites that have a unique methylation signature in the kidney. Methylation levels in majority of these sites correlate with kidney state and

SUBMITTER: Sagy N 

PROVIDER: S-EPMC10863297 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature