Literature DB >> 26108901

Treatment of latent tuberculosis infection induces changes in multifunctional Mycobacterium tuberculosis-specific CD4+ T cells.

Ilaria Sauzullo1, Fabio Mengoni2, Claudia Mascia2, Raffaella Rossi2, Miriam Lichtner2,3, Vincenzo Vullo2, Claudio M Mastroianni2,3.   

Abstract

To ascertain whether multiparametric flow cytometry assessment of multifunctional Mycobacterium tuberculosis (Mtb)-specific CD4(+) and CD8(+) T cells can distinguish between untreated and treated patients with latent tuberculosis infection (LTBI), we enrolled 14 LTBI subjects treated with isoniazid (INH) therapy, 16 untreated LTBI patients, and 25 healthy controls. The analysis of mono-functional CD4(+) and CD8(+) T cells producing single cytokines showed significant differences only between uninfected and infected LTBI subjects (both treated and untreated). Conversely, the analysis of multifunctional CD4(+) T cells revealed a significant reduction in the frequency of two CD4(+) T cells subsets, those producing IFN-γ, IL-2, and TNF-α simultaneously (triple positive; p = 0.005) and those producing IL-2 alone (p = 0.0359), as well as a shift towards T cells producing only one cytokine in treated as compared to untreated LTBI subjects. Assigning a triple-positive CD4(+) T cells a cut-off >0.082 %, 94 % of untreated LTBI patients were scored as positive, as compared to only 28 % of treated LTBI patients and none of the healthy controls. No significant differences between untreated and treated LTBI subjects in terms of Mtb-specific CD8(+) T cell cytokine profiles (p > 0.05) were identified. The significant changes in the cytokine profiles of Mtb-specific T cells after INH therapy suggest that analysis of multifunctional T cells may be a promising means for the monitoring of LTBI treatment success.

Entities:  

Keywords:  Cytokines; Intracellular cytokine flow cytometry; Latent tuberculosis infection; M. tuberculosis; Multifunctional T cells; TB treatment

Mesh:

Substances:

Year:  2015        PMID: 26108901     DOI: 10.1007/s00430-015-0424-z

Source DB:  PubMed          Journal:  Med Microbiol Immunol        ISSN: 0300-8584            Impact factor:   3.402


  28 in total

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Authors:  Deborah A Lewinsohn; Amy S Heinzel; James M Gardner; Liqing Zhu; Mark R Alderson; David M Lewinsohn
Journal:  Am J Respir Crit Care Med       Date:  2003-09-11       Impact factor: 21.405

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Authors:  Nadia Caccamo; Giuliana Guggino; Simone A Joosten; Giuseppe Gelsomino; Paola Di Carlo; Lucina Titone; Domenico Galati; Marialuisa Bocchino; Alessandro Matarese; Alfredo Salerno; Alessandro Sanduzzi; Willeke P J Franken; Tom H M Ottenhoff; Francesco Dieli
Journal:  Eur J Immunol       Date:  2010-08       Impact factor: 5.532

3.  Dominant TNF-α+ Mycobacterium tuberculosis-specific CD4+ T cell responses discriminate between latent infection and active disease.

Authors:  Alexandre Harari; Virginie Rozot; Felicitas Bellutti Enders; Matthieu Perreau; Jesica Mazza Stalder; Laurent P Nicod; Matthias Cavassini; Thierry Calandra; Catherine Lazor Blanchet; Katia Jaton; Mohamed Faouzi; Cheryl L Day; Willem A Hanekom; Pierre-Alexandre Bart; Giuseppe Pantaleo
Journal:  Nat Med       Date:  2011-02-20       Impact factor: 53.440

4.  Functional capacity of Mycobacterium tuberculosis-specific T cell responses in humans is associated with mycobacterial load.

Authors:  Cheryl L Day; Deborah A Abrahams; Lesedi Lerumo; Esme Janse van Rensburg; Lynnett Stone; Terrence O'rie; Bernadette Pienaar; Marwou de Kock; Gilla Kaplan; Hassan Mahomed; Keertan Dheda; Willem A Hanekom
Journal:  J Immunol       Date:  2011-07-20       Impact factor: 5.422

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

Authors:  Mathias Streitz; Stephan Fuhrmann; David Thomas; Elizabeth Cheek; Laurel Nomura; Holden Maecker; Peter Martus; Nima Aghaeepour; Ryan R Brinkman; Hans-Dieter Volk; Florian Kern
Journal:  Cytometry B Clin Cytom       Date:  2012-09-07       Impact factor: 3.058

6.  Pattern and diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease.

Authors:  Jayne S Sutherland; Ifedayo M Adetifa; Philip C Hill; Richard A Adegbola; Martin O C Ota
Journal:  Eur J Immunol       Date:  2009-03       Impact factor: 5.532

7.  Comparison of intracellular cytokine flow cytometry and an enzyme immunoassay for evaluation of cellular immune response to active tuberculosis.

Authors:  Wai Lin Leung; Kai Leung Law; Veronica Sui Shan Leung; Chi Wai Yip; Chi Chiu Leung; Cheuk Ming Tam; Kai Man Kam
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8.  IFNγ/TNFα specific-cells and effector memory phenotype associate with active tuberculosis.

Authors:  Elisa Petruccioli; Linda Petrone; Valentina Vanini; Alessandro Sampaolesi; Gina Gualano; Enrico Girardi; Fabrizio Palmieri; Delia Goletti
Journal:  J Infect       Date:  2013-02-24       Impact factor: 6.072

9.  A trial of mass isoniazid preventive therapy for tuberculosis control.

Authors:  Gavin J Churchyard; Katherine L Fielding; James J Lewis; Leonie Coetzee; Elizabeth L Corbett; Peter Godfrey-Faussett; Richard J Hayes; Richard E Chaisson; Alison D Grant
Journal:  N Engl J Med       Date:  2014-01-23       Impact factor: 91.245

10.  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

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  3 in total

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Authors:  Matthew A Schaller; Ronald M Allen; Soichiro Kimura; Cheryl L Day; Steven L Kunkel
Journal:  Front Immunol       Date:  2016-11-24       Impact factor: 7.561

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Authors:  Tse-Yen Yang; Cheng-Li Lin; Wei-Cheng Yao; Chon-Fu Lio; Wen-Po Chiang; Kuan Lin; Chien-Feng Kuo; Shin-Yi Tsai
Journal:  J Transl Med       Date:  2022-02-21       Impact factor: 5.531

3.  Single-cell transcriptomics of blood reveals a natural killer cell subset depletion in tuberculosis.

Authors:  Yi Cai; Youchao Dai; Yejun Wang; Qianqing Yang; Jiubiao Guo; Cailing Wei; Weixin Chen; Huanping Huang; Jialou Zhu; Chi Zhang; Weidong Zheng; Zhihua Wen; Haiying Liu; Mingxia Zhang; Shaojun Xing; Qi Jin; Carl G Feng; Xinchun Chen
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  3 in total

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