Literature DB >> 25520147

Measurement of phenotype and absolute number of circulating heparin-binding hemagglutinin, ESAT-6 and CFP-10, and purified protein derivative antigen-specific CD4 T cells can discriminate active from latent tuberculosis infection.

Paul Hutchinson1, Timothy M S Barkham2, Wenying Tang2, David M Kemeny3, Cynthia Bin-Eng Chee4, Yee T Wang4.   

Abstract

The tuberculin skin test (TST) and interferon gamma (IFN-γ) release assays (IGRAs) are used as adjunctive tests for the evaluation of suspected cases of active tuberculosis (TB). However, a positive test does not differentiate latent from active TB. We investigated whether flow cytometric measurement of novel combinations of intracellular cytokines and surface makers on CD4 T cells could differentiate between active and latent TB after stimulation with Mycobacterium tuberculosis-specific proteins. Blood samples from 60 patients referred to the Singapore Tuberculosis Control Unit for evaluation for active TB or as TB contacts were stimulated with purified protein derivative (PPD), ESAT-6 and CFP-10, or heparin-binding hemagglutinin (HBHA). The CD4 T cell cytokine response (IFN-γ, interleukin-2 [IL-2], interleukin-17A [IL-17A], interleukin-22 [IL-22], granulocyte-macrophage colony-stimulating factor [GM-CSF], and tumor necrosis factor alpha [TNF-α]) and surface marker expression (CD27, CXCR3, and CD154) were then measured. We found that the proportion of PPD-specific CD4 T cells, defined as CD154(+) TNF-α(+) cells that were negative for CD27 and positive for GM-CSF, gave the strongest discrimination between subjects with latent and those with active TB (area under the receiver operator characteristic [ROC] curve of 0.9277; P < 0.0001). Also, the proportions and absolute numbers of HBHA-specific CD4 T cells were significantly higher in those with latent TB infection, particularly CD154(+) TNF-α(+) IFN-γ(+) IL-2(+) and CD154(+) TNF-α(+) CXCR3(+). Finally, we found that the ratio of ESAT-6- and CFP-10-responding to HBHA-responding CD4 T cells was significantly different between the two study populations. In conclusion, we found novel markers of M. tuberculosis-specific CD4 cells which differentiate between active and latent TB.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25520147      PMCID: PMC4308871          DOI: 10.1128/CVI.00607-14

Source DB:  PubMed          Journal:  Clin Vaccine Immunol        ISSN: 1556-679X


  30 in total

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Authors:  J L Flynn; J Chan
Journal:  Annu Rev Immunol       Date:  2001       Impact factor: 28.527

2.  Detection of antigen-specific T cell cytokine expression in whole blood by flow cytometry.

Authors:  M A Suni; L J Picker; V C Maino
Journal:  J Immunol Methods       Date:  1998-03-01       Impact factor: 2.303

3.  Determination of antigen-specific memory/effector CD4+ T cell frequencies by flow cytometry: evidence for a novel, antigen-specific homeostatic mechanism in HIV-associated immunodeficiency.

Authors:  S L Waldrop; C J Pitcher; D M Peterson; V C Maino; L J Picker
Journal:  J Clin Invest       Date:  1997-04-01       Impact factor: 14.808

4.  Diagnosis of Mycobacterium tuberculosis infection using ESAT-6 and intracellular cytokine cytometry.

Authors:  A J Hughes; P Hutchinson; T Gooding; N J Freezer; S R Holdsworth; P D R Johnson
Journal:  Clin Exp Immunol       Date:  2005-10       Impact factor: 4.330

5.  Disruption of granulocyte macrophage-colony stimulating factor production in the lungs severely affects the ability of mice to control Mycobacterium tuberculosis infection.

Authors:  Mercedes Gonzalez-Juarrero; Jessica M Hattle; Angelo Izzo; Ana Paula Junqueira-Kipnis; Tae S Shim; Bruce C Trapnell; Andrea M Cooper; Ian M Orme
Journal:  J Leukoc Biol       Date:  2005-03-14       Impact factor: 4.962

6.  The chemokine receptor CXCR3 attenuates the control of chronic Mycobacterium tuberculosis infection in BALB/c mice.

Authors:  Soumya D Chakravarty; Jiayong Xu; Bao Lu; Craig Gerard; Joanne Flynn; John Chan
Journal:  J Immunol       Date:  2007-02-01       Impact factor: 5.422

7.  Surface phenotype and antigenic specificity of human interleukin 17-producing T helper memory cells.

Authors:  Eva V Acosta-Rodriguez; Laura Rivino; Jens Geginat; David Jarrossay; Marco Gattorno; Antonio Lanzavecchia; Federica Sallusto; Giorgio Napolitani
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Review 8.  Heparin-binding hemagglutinin, from an extrapulmonary dissemination factor to a powerful diagnostic and protective antigen against tuberculosis.

Authors:  Camille Locht; Jean-Michel Hougardy; Carine Rouanet; Sammy Place; Françoise Mascart
Journal:  Tuberculosis (Edinb)       Date:  2006-02-28       Impact factor: 3.131

9.  Recognition of stage-specific mycobacterial antigens differentiates between acute and latent infections with Mycobacterium tuberculosis.

Authors:  Abebech Demissie; Eliane M S Leyten; Markos Abebe; Liya Wassie; Abraham Aseffa; Getahun Abate; Helen Fletcher; Patrick Owiafe; Philip C Hill; Roger Brookes; Graham Rook; Alimuddin Zumla; Sandra M Arend; Michel Klein; Tom H M Ottenhoff; Peter Andersen; T Mark Doherty
Journal:  Clin Vaccine Immunol       Date:  2006-02

10.  iNKT cell production of GM-CSF controls Mycobacterium tuberculosis.

Authors:  Alissa C Rothchild; Pushpa Jayaraman; Cláudio Nunes-Alves; Samuel M Behar
Journal:  PLoS Pathog       Date:  2014-01-02       Impact factor: 6.823

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Authors:  H-L Wen; C-L Li; G Li; Y-H Lu; H-C Li; T Li; H-M Zhao; K Wu; D B Lowrie; J-X Lv; S-H Lu; X-Y Fan
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-04-20       Impact factor: 3.267

2.  Novel T-cell assays for the discrimination of active and latent tuberculosis infection: the diagnostic value of PPE family.

Authors:  Babak Pourakbari; Setareh Mamishi; Majid Marjani; Mehrnaz Rasulinejad; Sabrina Mariotti; Shima Mahmoudi
Journal:  Mol Diagn Ther       Date:  2015-10       Impact factor: 4.074

Review 3.  Where is tuberculosis transmission happening? Insights from the literature, new tools to study transmission and implications for the elimination of tuberculosis.

Authors:  Sara C Auld; N Sarita Shah; Ted Cohen; Neil A Martinson; Neel R Gandhi
Journal:  Respirology       Date:  2018-06-05       Impact factor: 6.424

Review 4.  Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis.

Authors:  Elisa Petruccioli; Thomas J Scriba; Linda Petrone; Mark Hatherill; Daniela M Cirillo; Simone A Joosten; Tom H Ottenhoff; Claudia M Denkinger; Delia Goletti
Journal:  Eur Respir J       Date:  2016-11-11       Impact factor: 16.671

5.  A decrease in PPD specific CD4 T cell CD38 and HLA-DR expression in pulmonary tuberculosis patients after 8 weeks of therapy correlates with successful anti-tuberculosis treatment.

Authors:  Herry Priyanto; Edmond Chua; Paul Hutchinson; Jusak Nugraha; Muhammad Amin
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2021-01-07

6.  Immunogenicity of heparin-binding hemagglutinin expressed by Pichia pastoris GS115 strain.

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Review 7.  Polyfunctional CD4+ T Cells As Targets for Tuberculosis Vaccination.

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Journal:  Front Immunol       Date:  2017-10-05       Impact factor: 7.561

8.  Active Tuberculosis Is Characterized by Highly Differentiated Effector Memory Th1 Cells.

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