Integrated multi-omics profiling reveals immune-related biomarkers and regulatory networks for early prediction of tuberculosis in type 2 diabetes mellitus - PubMed
3 hours ago
- #biomarkers
- #multi-omics
- #T2DM-TB
- Study identifies immune-related biomarkers for early prediction of tuberculosis (TB) in type 2 diabetes mellitus (T2DM) patients.
- Multi-omics profiling (transcriptome and proteome) was conducted on a cohort of 198 participants (HC 71, T2DM 67, T2DM-TB 60).
- Thirteen immune-related biomarkers were identified, including mRNAs, miRNAs, lncRNAs, and proteins.
- Eleven logistic regression models showed high diagnostic efficacy (AUC 0.93-0.99) and stable performance in cross-validation.
- Key pathways involved include Toll-like receptors, NF-κB, and JAK-STAT signaling.
- Immune infiltration analysis revealed an imbalance with overactivated innate immunity and compromised adaptive immunity.
- ceRNA networks and dual-luciferase assays confirmed regulatory interactions among identified biomarkers.
- The study provides a multi-omics framework for early detection and precision intervention in T2DM-TB.