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Immune biomarkers for diagnosis and treatment monitoring of tuberculosis: Current developments and future prospects


Yong, YK and Tan, HY and Saeidi, A and Wong, WF and Vignesh, R and Velu, V and Eri, R and Larsson, M and Shankar, EM, Immune biomarkers for diagnosis and treatment monitoring of tuberculosis: Current developments and future prospects, Frontiers in Microbiology, 10 pp. 1-18. ISSN 1664-302X (2019) [Refereed Article]


Copyright Statement

Copyright 2019 Yong, Tan, Saeidi, Wong, Vignesh, Velu, Eri, Larsson and Shankar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

DOI: doi:10.3389/fmicb.2019.02789


Tuberculosis (TB) treatment monitoring is paramount to clinical decision-making and the host biomarkers appears to play a significant role. The currently available diagnostic technology for TB detection is inadequate. Although GeneXpert detects total DNA present in the sample regardless live or dead bacilli present in clinical samples, all the commercial tests available thus far have low sensitivity. Humoral responses against Mycobacterium tuberculosis (Mtb) antigens are generally low, which precludes the use of serological tests for TB diagnosis, prognosis, and treatment monitoring. Mtb-specific CD4+ T cells correlate with Mtb antigen/bacilli burden and hence might serve as good biomarkers for monitoring treatment progress. Omics-based techniques are capable of providing a more holistic picture for disease mechanisms and are more accurate in predicting TB disease outcomes. The current review aims to discuss some of the recent advances on TB biomarkers, particularly host biomarkers that have the potential to diagnose and differentiate active TB and LTBI as well as their use in disease prognosis and treatment monitoring.

Item Details

Item Type:Refereed Article
Keywords:HIV; biomarkers; diagnostics; treatment monitoring; tuberculosis
Research Division:Biomedical and Clinical Sciences
Research Group:Medical microbiology
Research Field:Medical bacteriology
Objective Division:Health
Objective Group:Clinical health
Objective Field:Treatment of human diseases and conditions
UTAS Author:Eri, R (Associate Professor Raj Eri)
ID Code:152422
Year Published:2019
Web of Science® Times Cited:28
Deposited By:Health Sciences
Deposited On:2022-08-18
Last Modified:2022-09-08
Downloads:1 View Download Statistics

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