Ontology highlight
ABSTRACT: Background
Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder. Emerging evidence suggests asparagine metabolism might play a pivotal role in T2DM, yet the underlying molecular mechanisms remain elusive. This study aimed to detect asparagine-related biomarkers and expound their functional roles in T2DM pathogenesis.Methods
Transcriptomic datasets from peripheral blood samples of T2DM patients and controls were analyzed. Differential expression analysis, protein-protein interaction (PPI) network, and machine learning algorithms, followed by expression analysis across cohorts were employed to screen biomarkers. Biomarker diagnostic performance was evaluated. Functional enrichment, immune infiltration analysis, and multi-layer regulatory network construction were c
SUBMITTER: Xia J
PROVIDER: S-EPMC12753446 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature