Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes.

ABSTRACT:

Objectives

The early diagnosis and immunoregulatory mechanisms of active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remain unclear, and the role of metabolic genes in host-pathogen interactions requires further investigation.

Methods

Single-cell RNA sequencing (scRNA-seq) was applied to analyze peripheral blood mononuclear cells (PBMCs) from 7 individuals, including 2 healthy controls (HC), 2 LTBI patients, and 3 ATB patients. We identified T-cell-associated metabolic differentially expressed genes (TCM-DEGs) through integrated differential expression analysis and machine learning algorithms (XGBoost, SVM-RFE, and Boruta). These TCM-DEGs were then used to construct a diagnostic model and evaluate its clinical applicability.

Results

The analysis reveal

SUBMITTER: Ding S 

PROVIDER: S-EPMC12168305 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature