Distinct immune-metabolic phenotypes underlie poor coronary collateral circulation.

ABSTRACT:

Background

Coronary collateral circulation (CCC) significantly impacts myocardial perfusion and clinical outcomes in coronary artery disease patients, yet the underlying molecular heterogeneity remains inadequately characterized.

Objective

To identify distinct molecular phenotypes in patients with poor CCC, validate these phenotypes using clinical parameters, and evaluate their prognostic implications.

Methods

This study enrolled 149 patients (80 with good CCC and 69 with poor CCC) for high-throughput proteomic profiling. Unsupervised consensus clustering identified molecular subtypes within poor CCC patients, followed by differential expression analysis and KEGG pathway enrichment. Boruta feature selection was implemented, and multiple machine learning algorithms wer

SUBMITTER: Guo ZT 

PROVIDER: S-EPMC12625015 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature