TB Research

QuantiFERON-TB supernatant-based biomarkers predicting active tuberculosis progression

Xu H, Zhou J, Yang Q, Yang Y, Zhou F, Qian M, Lin X, Zhang W, et al. (10 authors)

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025-05

Abstract

Background Despite the higher specificity and reliability of detecting latent tuberculosis (TB) infection, Mycobacterium tuberculosis-specific interferon (IFN)-γ release assays do not perform satisfactorily in predicting the risk of active TB (ATB) development. It is crucial to identify new biomarkers with high predictive accuracy to identify individuals bearing a high risk of progression. Methods This was a sub-study of an open-label, randomized clinical trial for prevention of TB in silicosis patients. Twenty-six participants were diagnosed with ATB within 37-month' follow-up. They were defined as TB progressors and matched in a 1:2 ratio with 52 TB nonprogressors. Results We analyzed expression of 45 cytokines in QuantiFERON supernatants from TB progressors and nonprogressors, and granulocyte-macrophage colony-stimulating factor, vascular endothelial growth factor, interleukin (IL)-3, IFN-γ-induced protein 10, IL-10, and IL-9 outperformed IFN-γ as predictive markers. Conclusion These findings highlight the potential of new biomarkers in identifying individuals with high risk of TB to undergo early intervention. Trial registration ClinicalTrials.gov number: NCT02430259.

MeSH terms

  • Humans
  • Mycobacterium tuberculosis
  • Tuberculosis
  • Disease Progression
  • Cytokines
  • Adult
  • Middle Aged
  • Female
  • Male
  • Interferon-gamma
  • Latent Tuberculosis
  • Interferon-gamma Release Tests
  • Biomarkers