Literature DB >> 25824629

The assessment of cytokines in Quantiferon supernatants for the diagnosis of latent TB infection in a tribal population of Melghat, India.

Prachi R Bapat1, Aliabbas A Husain1, Hatim F Daginawala1, Neha P Agrawal1, Milind S Panchbhai1, Ashish R Satav2, Girdhar M Taori1, Rajpal S Kashyap3.   

Abstract

The tuberculin skin test (TST) and interferon-gamma release assays (IGRA), namely, the QuantiFERON-TB Gold test (QFT), remain the standard immunological diagnostic tools for latent tuberculosis (TB) infection (LTBI). However, the sub-optimal detection rates of both of these tests are major impediments in recognizing the population at risk. This study was aimed at evaluating additional cytokines besides interferon-gamma (IFN-γ) as biomarkers for improving LTBI diagnosis in the tribal population of Melghat, India. Seventy-four close TB contacts were stratified by QFT and TST results into: (i) QFT+/TST+ (n = 26), (ii) QFT+/TST- (n = 12), (iii) QFT-/TST- (n = 35) and (iv) QFT-/TST+ (n = 1) groups. A panel of cytokines (IL-6, IL-10, TNF-α and IL-2R) was then evaluated in antigen-stimulated QFT cell-free culture supernatants using IMMULITE-1000, an automated immunoassay analyzer. Cytokine estimation showed significantly higher levels of IL-6 in the QFT+/TST+ group, while significantly higher levels of IL-10 were found in the QFT-/TST- group. Correlation analysis identified a positive correlation between IL-6 and the QFT response (r = 0.6723, P < 0.0001), while a negative correlation was seen between QFT and IL-10 expression (r = -0.3271, P = 0.0044). Similarly, IL-6 was positively correlated with TST levels (r = 0.6631, P <0 .0001), and conversely, a negative correlation was found between TST and IL-10 expression (r = -0.5698, P < 0.0001). The positive and negative predictive values of IL-6 were found to be 92.59 and 93.33%, respectively, and the positive and negative predictive values of IL-10 were 96.55 and 91.18%, respectively. No significant impact of the demographic characteristics on cytokine positivity was observed. Our preliminary results suggest that the evaluation of additional cytokines in QFT cell-free culture supernatants may be valuable for the identification of LTBI. Combining IL-6 and IL-10 with QFT and/or TST could markedly improve the detection accuracy of LTBI. Our observations require investigation in larger well-characterized cohorts along with follow-up studies to further confirm the study outcome.
Copyright © 2015 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cytokines; LTBI; QFT; TST

Mesh:

Substances:

Year:  2015        PMID: 25824629     DOI: 10.1016/j.jiph.2015.02.003

Source DB:  PubMed          Journal:  J Infect Public Health        ISSN: 1876-0341            Impact factor:   3.718


  4 in total

1.  Alternative Quantiferon cytokines for diagnosis of children with active tuberculosis and HIV co-infection in Ghana.

Authors:  Christian Lundtoft; Anthony Afum-Adjei Awuah; Norman Nausch; Anthony Enimil; Ertan Mayatepek; Ellis Owusu-Dabo; Marc Jacobsen
Journal:  Med Microbiol Immunol       Date:  2017-03-15       Impact factor: 3.402

2.  Cytokine Biosignature of Active and Latent Mycobacterium Tuberculosis Infection in Children.

Authors:  Magdalena Druszczynska; Michal Seweryn; Sebastian Wawrocki; Magdalena Kowalewska-Pietrzak; Anna Pankowska; Wieslawa Rudnicka
Journal:  Pathogens       Date:  2021-04-24

3.  Application of ImmunoScore Model for the Differentiation between Active Tuberculosis and Latent Tuberculosis Infection as Well as Monitoring Anti-tuberculosis Therapy.

Authors:  Yu Zhou; Juan Du; Hong-Yan Hou; Yan-Fang Lu; Jing Yu; Li-Yan Mao; Feng Wang; Zi-Yong Sun
Journal:  Front Cell Infect Microbiol       Date:  2017-10-30       Impact factor: 5.293

4.  Gaps in Study Design for Immune Parameter Research for Latent Tuberculosis Infection: A Systematic Review.

Authors:  Mariana Herrera; Cristian Vera; Yoav Keynan; Zulma Vanessa Rueda
Journal:  J Immunol Res       Date:  2020-04-21       Impact factor: 4.818

  4 in total

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