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

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 To...

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Autores principales: Luo, Ying, Xue, Ying, Mao, Liyan, Lin, Qun, Tang, Guoxing, Song, Huijuan, Liu, Wei, Tong, Shutao, Hou, Hongyan, Huang, Min, Ouyang, Renren, Wang, Feng, Sun, Ziyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426432/
https://www.ncbi.nlm.nih.gov/pubmed/34512645
http://dx.doi.org/10.3389/fimmu.2021.721013
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author Luo, Ying
Xue, Ying
Mao, Liyan
Lin, Qun
Tang, Guoxing
Song, Huijuan
Liu, Wei
Tong, Shutao
Hou, Hongyan
Huang, Min
Ouyang, Renren
Wang, Feng
Sun, Ziyong
author_facet Luo, Ying
Xue, Ying
Mao, Liyan
Lin, Qun
Tang, Guoxing
Song, Huijuan
Liu, Wei
Tong, Shutao
Hou, Hongyan
Huang, Min
Ouyang, Renren
Wang, Feng
Sun, Ziyong
author_sort Luo, Ying
collection PubMed
description 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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spelling pubmed-84264322021-09-10 Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection Luo, Ying Xue, Ying Mao, Liyan Lin, Qun Tang, Guoxing Song, Huijuan Liu, Wei Tong, Shutao Hou, Hongyan Huang, Min Ouyang, Renren Wang, Feng Sun, Ziyong Front Immunol Immunology 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. Frontiers Media S.A. 2021-08-26 /pmc/articles/PMC8426432/ /pubmed/34512645 http://dx.doi.org/10.3389/fimmu.2021.721013 Text en Copyright © 2021 Luo, Xue, Mao, Lin, Tang, Song, Liu, Tong, Hou, Huang, Ouyang, Wang and Sun https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Immunology
Luo, Ying
Xue, Ying
Mao, Liyan
Lin, Qun
Tang, Guoxing
Song, Huijuan
Liu, Wei
Tong, Shutao
Hou, Hongyan
Huang, Min
Ouyang, Renren
Wang, Feng
Sun, Ziyong
Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title_full Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title_fullStr Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title_full_unstemmed Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title_short Activation Phenotype of Mycobacterium tuberculosis-Specific CD4(+) T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection
title_sort activation phenotype of mycobacterium tuberculosis-specific cd4(+) t cells promoting the discrimination between active tuberculosis and latent tuberculosis infection
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426432/
https://www.ncbi.nlm.nih.gov/pubmed/34512645
http://dx.doi.org/10.3389/fimmu.2021.721013
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