Literature DB >> 22961735

The phenotypic distribution and functional profile of tuberculin-specific CD4 T-cells characterizes different stages of TB infection.

Mathias Streitz1, Stephan Fuhrmann, David Thomas, Elizabeth Cheek, Laurel Nomura, Holden Maecker, Peter Martus, Nima Aghaeepour, Ryan R Brinkman, Hans-Dieter Volk, Florian Kern.   

Abstract

BACKGROUND: Recent publications have suggested that altered proportions of functional CD4 T-cell subsets correlate with active pulmonary TB. Also, CD27-expression on tuberculin-activated IFN-γ(+) CD4 T-cells is known to differ significantly between patients with active pulmonary TB and healthy TB-unexposed BCG vaccinees. Here, we explore links between CD4 T-cell phenotype, multiple functional subsets, and control of TB.
METHODS: We examined ex-vivo overnight tuberculin activated CD4 T-cells in regards to CD27-expression and the activation markers, CD154 upregulation, IFN-γ, TNF-α, IL-2, and degranulation in 44 individuals, including cases of clinically active pulmonary TB, and hospital staff with prolonged TB exposure, some of whom had latent TB.
RESULTS: Active pulmonary TB generally showed an excess of TNF-α(+) subsets over IFN-γ(+) subsets, paralleled by decreased CD27 expression on activated IFN-γ(+) or CD154(+) CD4 T-cells. The single subset distinguishing best between active pulmonary TB and high TB exposure was CD154(+) /TNF-α(+) / IFN-γ(-) /IL-2(-) /degranulation(-) (AUROC 0.90). The ratio between the frequencies of TNF-α(+) /IFN-γ(+) CD4 T-cells was an effective alternative parameter (AUROC 0.87).
CONCLUSIONS: Functional subsets and phenotype of tuberculin induced CD4 T-cells differ between stages of TB infection. Predominance of TNF-α(+) CD4 T-cells in active infection suggests an increased effort of the immune system to contain disease.
Copyright © 2012 International Clinical Cytometry Society.

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Year:  2012        PMID: 22961735     DOI: 10.1002/cyto.b.21041

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  6 in total

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Authors:  Ilaria Sauzullo; Fabio Mengoni; Claudia Mascia; Raffaella Rossi; Miriam Lichtner; Vincenzo Vullo; Claudio M Mastroianni
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2.  Post-treatment change in Mycobacterium tuberculosis antigen-stimulated tumor necrosis factor-alpha release in patients with active tuberculosis.

Authors:  Chang Ho Kim; Seung Soo Yoo; Shin Yup Lee; Seung Ick Cha; Jae Yong Park; Jaehee Lee
Journal:  J Thorac Dis       Date:  2015-05       Impact factor: 2.895

3.  Early dynamics of T helper cell cytokines and T regulatory cells in response to treatment of active Mycobacterium tuberculosis infection.

Authors:  S L Feruglio; K Tonby; D Kvale; A M Dyrhol-Riise
Journal:  Clin Exp Immunol       Date:  2015-03       Impact factor: 4.330

4.  Multifunctional Analysis of CD4+ T-Cell Response as Immune-Based Model for Tuberculosis Detection.

Authors:  Miriam Lichtner; Claudia Mascia; Ilaria Sauzullo; Fabio Mengoni; Serena Vita; Raffaella Marocco; Valeria Belvisi; Gianluca Russo; Vincenzo Vullo; Claudio M Mastroianni
Journal:  J Immunol Res       Date:  2015-08-03       Impact factor: 4.818

5.  The frequencies of IFNγ+IL2+TNFα+ PPD-specific CD4+CD45RO+ T-cells correlate with the magnitude of the QuantiFERON® gold in-tube response in a prospective study of healthy indian adolescents.

Authors:  Synne Jenum; Harleen M S Grewal; David A Hokey; John Kenneth; Mario Vaz; Timothy Mark Doherty; Frode Lars Jahnsen
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

6.  Characterisation of CD154+ T cells following ex vivo allergen stimulation illustrates distinct T cell responses to seasonal and perennial allergens in allergic and non-allergic individuals.

Authors:  Karen A Smith; Nicola J Gray; Femi Saleh; Elizabeth Cheek; Anthony J Frew; Florian Kern; Michael D Tarzi
Journal:  BMC Immunol       Date:  2013-11-05       Impact factor: 3.615

  6 in total

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