Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and glutamine metabolism-associated gene.

ABSTRACT:

Background

Atherosclerosis (AS), a chronic inflammatory disorder of the vasculature, remains the principal driver of cardiovascular disease, accounting for substantial morbidity, mortality, and healthcare burden worldwide. Beyond its vascular implications, recent research highlights the metabolic reprogramming of glutamine (Gln) as a central axis in disease biology. Glutamine metabolism, long recognized for its role in tumorigenesis, is now emerging as a critical determinant of clinical outcomes across diverse cancers, underscoring its broader relevance to pathological processes.

Methods

A bioinformatics analysis was performed in this work to discover and validate putative Gln-Metabolism genes (GlnMgs) linked with AS. GlnMgs were discovered using a combination of differentia

SUBMITTER: Wang S 

PROVIDER: S-EPMC12777062 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature