Ontology highlight
ABSTRACT: Background
Chronic coronary syndrome (CCS) is a newly proposed concept and is hallmarked by more long-term major adverse cardiovascular events (MACEs), calling for accurate prognostic biomarkers for initial risk stratification.Methods
Data-independent acquisition liquid chromatography tandem mass spectrometry (DIA LC-MS/MS) quantitative proteomics was performed on 38 patients with CCS; 19 in the CCS events group and 19 in the non-events group as the controls. We also developed a machine-learning-based pipeline to identify proteins as potential biomarkers and validated the target proteins by enzyme-linked immunosorbent assay in an independent prospective cohort.Results
Fifty-seven differentially expressed proteins were identified by quantitative proteomics and three
SUBMITTER: Cai YL
PROVIDER: S-EPMC9062975 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature