Chronic kidney disease onset, progression, and cardiovascular outcomes: proteomics informs biology and risk stratification.

ABSTRACT:

Background

Large-scale proteomics provides an opportunity to understand chronic kidney disease (CKD) and cardiovascular disease, yet research in this field is limited. This study utilized proteomics to inform biology and risk stratification for these diseases.

Methods

This cohort study included 44,779 participants free of prevalent CKD, and 3,749-4,272 participants with prevalent CKD from the UK Biobank. The Olink Explore 3072 platform quantified 2,923 plasma proteins. Cox proportional hazards models were used to assess associations of proteins with kidney diseases including CKD and end stage kidney disease, and cardiovascular diseases including coronary heart disease (CHD), stroke, and heart failure (HF). Mendelian randomization examined genetic associations, pathway analys

SUBMITTER: Zhang J 

PROVIDER: S-EPMC12903537 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature