QuantiFERON-TB supernatant-based biomarkers predicting active tuberculosis progression.
Haoxin Xu, Jingyu Zhou, Qingluan Yang, Yixuan Yang, Feiran Zhou, Mengqing Qian, Xing Lin, Wenhong Zhang, et al. (10 authors)
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025-08
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
- Adult
- Female
- Humans
- Male
- Middle Aged
- Biomarkers
- Cytokines
- Disease Progression
- Interferon-gamma
- Interferon-gamma Release Tests
- Latent Tuberculosis
- Mycobacterium tuberculosis
- Tuberculosis