A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis.

ABSTRACT: Type 2 diabetes (T2DM) co-existing with pulmonary tuberculosis (PTB) is associated with increased rates of treatment failure and mortality. Therefore, greater understanding of the occurrence and prevalence of this comorbidity and research to address the prevention and treatment of PTB in patients with T2DM (PTB + T2DM) have become paramount. Weighted gene co-expression network analysis (WGCNA) and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were employed to identify key gene modules and functions related to PTB + T2DM. Immune cell infiltration and drug sensitivity were compared between PTB + T2DM patients and healthy controls (HCs), with a bioinformatic approach. Several key genes were chosen for in vitro expression assays using quantitative real-time

SUBMITTER: Liu Y 

PROVIDER: S-EPMC12081747 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature