Literature DB >> 33007340

Mycobacterium tuberculosis-specific cytokine biomarkers to differentiate active TB and LTBI: A systematic review.

Eva L Sudbury1, Vanessa Clifford2, Nicole L Messina3, Rinn Song4, Nigel Curtis5.   

Abstract

OBJECTIVES: New tests are needed to overcome the limitations of existing immunodiagnostic tests for tuberculosis (TB) infection, including their inability to differentiate between active TB and latent TB infection (LTBI). This review aimed to identify the most promising cytokine biomarkers for use as stage-specific markers of TB infection.
METHODS: A systematic review was done using electronic databases to identify studies that have investigated Mycobacterium tuberculosis (MTB)-specific cytokine responses as diagnostic tools to differentiate between LTBI and active TB.
RESULTS: The 56 studies included in this systematic review measured the MTB-specific responses of 100 cytokines, the most frequently studied of which were IFN-γ, IL-2, TNF-α, IP-10, IL-10 and IL-13. Ten studies assessed combinations of cytokines, most commonly IL-2 and IFN-γ. For most cytokines, findings were heterogenous between studies. The variation in results likely relates to differences in the study design and laboratory methods, as well as participant and environmental factors.
CONCLUSIONS: Although several cytokines show promise as stage-specific markers of TB infection, this review highlights the need for further well-designed studies, in both adult and paediatric populations, to establish which cytokine(s) will be of most use in a new generation of immunodiagnostic tests.
Copyright © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active TB; Cytokine biomarkers; LTBI; Systematic review; Tuberculosis

Mesh:

Substances:

Year:  2020        PMID: 33007340     DOI: 10.1016/j.jinf.2020.09.032

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  5 in total

1.  Elevated IP-10 at the Protein and Gene Level Associates With Pulmonary TB.

Authors:  Kimone L Fisher; Denelle Moodley; Kerishka Rajkumar-Bhugeloo; Omolara O Baiyegunhi; Farina Karim; Hlumani Ndlovu; Thumbi Ndung'u; Mohlopheni J Marakalala
Journal:  Front Cell Infect Microbiol       Date:  2022-05-27       Impact factor: 6.073

2.  Lymphocyte Non-Specific Function Detection Facilitating the Stratification of Mycobacterium tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Yimin Cai; Qun Lin; Guoxing Tang; Huijuan Song; Wei Liu; Liyan Mao; Xu Yuan; Yu Zhou; Weiyong Liu; Shiji Wu; Ziyong Sun; Feng Wang
Journal:  Front Immunol       Date:  2021-04-19       Impact factor: 7.561

3.  Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Liyan Mao; Qun Lin; Guoxing Tang; Huijuan Song; Wei Liu; Shutao Tong; Hongyan Hou; Min Huang; Renren Ouyang; Feng Wang; Ziyong Sun
Journal:  Front Immunol       Date:  2021-08-26       Impact factor: 7.561

4.  MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis.

Authors:  Evangeline Ann Daniel; Balakumaran Sathiyamani; Kannan Thiruvengadam; Sandhya Vivekanandan; Hemanathan Vembuli; Luke Elizabeth Hanna
Journal:  Front Immunol       Date:  2022-09-27       Impact factor: 8.786

5.  Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Guoxing Tang; Yimin Cai; Xu Yuan; Qun Lin; Huijuan Song; Wei Liu; Liyan Mao; Yu Zhou; Zhongju Chen; Yaowu Zhu; Weiyong Liu; Shiji Wu; Feng Wang; Ziyong Sun
Journal:  Front Immunol       Date:  2021-06-30       Impact factor: 7.561

  5 in total

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