Integrating pathogen- and host-derived blood biomarkers for enhanced tuberculosis diagnosis: a comprehensive review

Front Immunol. 2024 Aug 9:15:1438989. doi: 10.3389/fimmu.2024.1438989. eCollection 2024.

Abstract

This review explores the evolving landscape of blood biomarkers in the diagnosis of tuberculosis (TB), focusing on biomarkers derived both from the pathogen and the host. These biomarkers provide critical insights that can improve diagnostic accuracy and timeliness, essential for effective TB management. The document highlights recent advancements in molecular techniques that have enhanced the detection and characterization of specific biomarkers. It also discusses the integration of these biomarkers into clinical practice, emphasizing their potential to revolutionize TB diagnostics by enabling more precise detection and monitoring of the disease progression. Challenges such as variability in biomarker expression and the need for standardized validation processes are addressed to ensure reliability across different populations and settings. The review calls for further research to refine these biomarkers and fully harness their potential in the fight against TB, suggesting a multidisciplinary approach to overcome existing barriers and optimize diagnostic strategies. This comprehensive analysis underscores the significance of blood biomarkers as invaluable tools in the global effort to control and eliminate TB.

Keywords: biomarker; blood test; molecular diagnosis; mycobacterium tuberculosis; tuberculosis.

Publication types

  • Review

MeSH terms

  • Biomarkers* / blood
  • Host-Pathogen Interactions
  • Humans
  • Mycobacterium tuberculosis* / immunology
  • Tuberculosis* / blood
  • Tuberculosis* / diagnosis

Substances

  • Biomarkers

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by the Shenzhen Medical Research Fund (Grant No. A2304001), National Key Research and Development Program (Grant No. 2022YFC2302901), Shenzhen Peacock Team (Grant No. KQTD20210811090219022), Shenzhen Basic Research (Key Project, Grant No. JCYJ20220818095610021), Shenzhen Major Technological Breakthrough Project (Grant No. JSGG20220822095200001), Provincial Natural Science Foundation of Guangdong (Grant No. 2022A1515220034), Shenzhen Science and Technology Innovation Foundation (Grant No. JCYJ20210324094614038/JCYJ20220530160207015).