Haoxin Xu , Jingyu Zhou , Qingluan Yang , Yixuan Yang , Feiran Zhou , Mengqing Qian , Xing Lin , Wenhong Zhang , Lingyun Shao , Qiaoling Ruan
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QuantiFERON-TB supernatant-based biomarkers predicting active tuberculosis progression
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.
期刊介绍:
International Journal of Infectious Diseases (IJID)
Publisher: International Society for Infectious Diseases
Publication Frequency: Monthly
Type: Peer-reviewed, Open Access
Scope:
Publishes original clinical and laboratory-based research.
Reports clinical trials, reviews, and some case reports.
Focuses on epidemiology, clinical diagnosis, treatment, and control of infectious diseases.
Emphasizes diseases common in under-resourced countries.