Functional correlations of pathogenesis-driven gene expression signatures in tuberculosis

Area of Science:

• Molecular Biology
• Immunology
• Genomics

Background:

• Tuberculosis (TB) is a significant global health challenge requiring improved interventions.
• Blood transcriptional profiling offers a promising avenue for discovering TB biosignatures and understanding disease mechanisms.

Purpose of the Study:

• To identify novel gene expression signatures associated with TB using integrated transcriptomic analyses.
• To explore the functional networks and immune dysregulation underlying TB pathogenesis.

Main Methods:

• Compared whole blood gene expression in TB patients and healthy individuals from The Gambia.
• Utilized classical gene expression analysis, pathway analysis, and functional association analysis.
• Integrated intra-individual expression correlations to identify disease-associated gene networks.

Main Results:

• Validated previously identified TB gene expression signatures across cohorts.
• Identified a novel hallmark gene signature in TB involving Fc gamma receptor 1 signaling.
• Observed significant similarities between TB and systemic lupus erythematosus (SLE) transcriptomic profiles.
• Detailed insights into immune dysregulation, including JAK-STAT and Toll-like receptor pathways.

Conclusions:

• Transcriptomics is a robust tool for identifying and validating TB biosignatures.
• Integrated analysis of transcriptomic data reveals novel functional networks in TB pathogenesis.
• Findings provide a deeper understanding of immune system dysregulation in active TB.