Unknown

Dataset Information

Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk.


ABSTRACT: Recent advances in proteomic technologies have made high-throughput profiling of low-abundance proteins in large epidemiological cohorts increasingly feasible. We investigated whether aptamer-based proteomic profiling could identify biomarkers associated with future development of type 2 diabetes (T2DM) beyond known risk factors. We identified dozens of markers with highly significant associations with future T2DM across 2 large longitudinal cohorts (n = 2839) followed for up to 16 years. We leveraged proteomic, metabolomic, genetic, and clinical data from humans to nominate 1 specific candidate to test for potential causal relationships in model systems. Our studies identified functional effects of aminoacylase 1 (ACY1), a top protein association with future T2DM risk, on amino acid metab

SUBMITTER: Ngo D 

PROVIDER: S-EPMC8021115 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature