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Updated: May 9, 2025
Preparation of Mycobacterium Tuberculosis Culture Filtrate to Understand TB Pathogenesis
Published on: March 28, 2025
QuantiFERON-TB supernatant-based biomarkers predicting active tuberculosis progression
Haoxin Xu1, Jingyu Zhou1, Qingluan Yang1
1Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
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.
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