A novel multi-omics-machine learning pipeline reveals immune and metabolic links between type 2 diabetes and atherosclerosis.

ABSTRACT: BackgroundAtherosclerosis (AS) and type 2 diabetes mellitus (T2DM) frequently coexist, jointly accelerating cardiovascular complications through shared inflammatory and metabolic pathways. Despite extensive research, the molecular mechanisms linking these chronic diseases remain incompletely defined.PurposeThis study aimed to delineate the shared transcriptional signatures and identify candidate biomarkers contributing to T2DM-associated AS progression using an integrative multi-omics strategy.Research DesignA retrospective bioinformatics investigation integrating differential expression analysis, co-expression network modeling, protein-interaction profiling, immune deconvolution, and machine-learning-based biomarker prioritization was conducted.Study Sample: Publicly available transcripto

SUBMITTER: Shi L 

PROVIDER: S-EPMC12722683 | biostudies-literature | 2025 Nov-Dec

REPOSITORIES: biostudies-literature