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

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          Abstract

          Background

          Rapid and effective discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains a challenge. There is an urgent need for developing practical and affordable approaches targeting this issue.

          Methods

          Participants with ATB and LTBI were recruited at Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort) based on positive T-SPOT results from June 2020 to January 2021. The expression of activation markers including HLA-DR, CD38, CD69, and CD25 was examined on Mycobacterium tuberculosis (MTB)-specific CD4 + T cells defined by IFN-γ, TNF-α, and IL-2 expression upon MTB antigen stimulation.

          Results

          A total of 90 (40 ATB and 50 LTBI) and another 64 (29 ATB and 35 LTBI) subjects were recruited from the Qiaokou cohort and Caidian cohort, respectively. The expression patterns of Th1 cytokines including IFN-γ, TNF-α, and IL-2 upon MTB antigen stimulation could not differentiate ATB patients from LTBI individuals well. However, both HLA-DR and CD38 on MTB-specific cells showed discriminatory value in distinguishing between ATB patients and LTBI individuals. As for developing a single candidate biomarker, HLA-DR had the advantage over CD38. Moreover, HLA-DR on TNF-α + or IL-2 + cells had superiority over that on IFN-γ + cells in differentiating ATB patients from LTBI individuals. Besides, HLA-DR on MTB-specific cells defined by multiple cytokine co-expression had a higher ability to discriminate patients with ATB from LTBI individuals than that of MTB-specific cells defined by one kind of cytokine expression. Specially, HLA-DR on TNF-α +IL-2 + cells produced an AUC of 0.901 (95% CI, 0.833–0.969), with a sensitivity of 93.75% (95% CI, 79.85–98.27%) and specificity of 72.97% (95% CI, 57.02–84.60%) as a threshold of 44% was used. Furthermore, the performance of HLA-DR on TNF-α +IL-2 + cells for differential diagnosis was obtained with validation cohort data: 90.91% (95% CI, 72.19–97.47%) sensitivity and 68.97% (95% CI, 50.77–82.73%) specificity.

          Conclusions

          We demonstrated that HLA-DR on MTB-specific cells was a potentially useful biomarker for accurate discrimination between ATB and LTBI.

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          Most cited references88

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          Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

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            Tuberculosis

            Tuberculosis remains the leading cause of death from an infectious disease among adults worldwide, with more than 10 million people becoming newly sick from tuberculosis each year. Advances in diagnosis, including the use of rapid molecular testing and whole-genome sequencing in both sputum and non-sputum samples, could change this situation. Although little has changed in the treatment of drug-susceptible tuberculosis, data on increased efficacy with new and repurposed drugs have led WHO to recommend all-oral therapy for drug-resistant tuberculosis for the first time ever in 2018. Studies have shown that shorter latent tuberculosis prevention regimens containing rifampicin or rifapentine are as effective as longer, isoniazid-based regimens, and there is a promising vaccine candidate to prevent the progression of infection to the disease. But new tools alone are not sufficient. Advances must be made in providing high-quality, people-centred care for tuberculosis. Renewed political will, coupled with improved access to quality care, could relegate the morbidity, mortality, and stigma long associated with tuberculosis, to the past.
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              The who's who of T-cell differentiation: human memory T-cell subsets.

              Following antigen encounter and subsequent resolution of the immune response, a single naïve T cell is able to generate multiple subsets of memory T cells with different phenotypic and functional properties and gene expression profiles. Single-cell technologies, first and foremost flow cytometry, have revealed the complex heterogeneity of the memory T-cell compartment and its organization into subsets. However, a consensus has still to be reached, both at the semantic (nomenclature) and phenotypic level, regarding the identification of these subsets. Here, we review recent developments in the characterization of the heterogeneity of the memory T-cell compartment, and propose a unified classification of both human and nonhuman primate T cells on the basis of phenotypic traits and in vivo properties. Given that vaccine studies and adoptive cell transfer immunotherapy protocols are influenced by these recent findings, it is important to use uniform methods for identifying and discussing functionally distinct subsets of T cells. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                26 August 2021
                2021
                26 August 2021
                : 12
                : 721013
                Affiliations
                [1] 1Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
                [2] 2Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
                Author notes

                Edited by: Harriet Mayanja Kizza, Makerere University, Uganda

                Reviewed by: Marco Pio La Manna, University of Palermo, Italy; Elisa Nemes, University of Cape Town, South Africa

                This article was submitted to Microbial Immunology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2021.721013
                8426432
                34512645
                9fd7ef4d-eb94-4ffb-9789-caceadbf6fde
                Copyright © 2021 Luo, Xue, Mao, Lin, Tang, Song, Liu, Tong, Hou, Huang, Ouyang, Wang and Sun

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 June 2021
                : 29 July 2021
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 89, Pages: 13, Words: 5587
                Funding
                Funded by: Tongji Medical College, Huazhong University of Science and Technology 10.13039/501100013291
                Award ID: 2021yjsCXCY088
                Funded by: Major State Basic Research Development Program of China 10.13039/501100012336
                Award ID: 2019FY101206
                Categories
                Immunology
                Original Research

                Immunology
                activation phenotype,hla-dr,mycobacterium tuberculosis,discrimination,active tuberculosis,latent tuberculosis infection

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