Robust Diagnostic and Therapeutic Biomarkers for Tuberculosis Identified Through Multi-Omics and Mendelian Randomization Analysis.

ABSTRACT: Tuberculosis (TB) remains a major global health challenge. In this study, we applied UPLC-MS/MS lipidomics and data-independent acquisition proteomics to profile plasma from healthy controls, active TB patients, and cured individuals to identify differentially expressed lipids and proteins. Mendelian randomization prioritized phosphatidylcholine (PC) lipids (PC(18:2/18:2), PC(14:0/20:4) and PC(18:0/20:4)) and proteins (haptoglobin [HP], retinol binding protein 4 [RBP4], coagulation factor XIII B subunit [F13B] and inter-alpha-trypsin inhibitor heavy chain 1 [ITIH1]) as candidate diagnostic and cure biomarkers. Binary multi-omics random-forest classifiers constructed with these markers achieved strong diagnostic (AUC = 0.967, 95% CI: 0.928-1.000) and cure-monitoring (AUC = 0.981, 95% CI: 0.

SUBMITTER: Zhu C 

PROVIDER: S-EPMC12748937 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature