Literature DB >> 25528189

Diagnostic performance of a cytokine and IFN-γ-induced chemokine mRNA assay after Mycobacterium tuberculosis-specific antigen stimulation in whole blood from infected individuals.

Sunghyun Kim1, Hyejon Lee2, Hyunjung Kim3, Yeun Kim3, Jang-Eun Cho4, Hyunwoo Jin5, Dae Yeon Kim6, Sang-Jun Ha7, Young Ae Kang8, Sang-Nae Cho9, Hyeyoung Lee10.   

Abstract

Interferon (IFN)-γ release assays have limited sensitivity and cannot differentiate between active tuberculosis (TB) disease and latent TB infection (LTBI). Numerous cytokines and regulator factors have been implicated in the pathogenesis and control of Mycobacterium tuberculosis infection. Additional cytokines and chemokines associated with M. tuberculosis infection may improve the performance of IFN-γ release assays. We developed a real-time RT-PCR TaqMan assay for targeting levels of eight human targets [IFN-γ, tumor necrosis factor (TNF)-α, IL-2R, IL-4, IL-10, CXCL9, CXCL10, and CXCL11] and evaluated the assay with three different study groups. Results showed that the sensitivity of TNF-α, IL-2R, and CXCL10 in the active pulmonary tuberculosis (PTB) group was 96.43%, 96.43%, and 100%, respectively. The sensitivity of IL-2R and CXCL10 in the latent tuberculosis infection group was 86.36% and 81.82%, respectively. Statistical results showed that TNF-α and CXCL9 were the best individual markers for differentiating between the PTB, LTBI, and non-TB groups. For optimal sensitivity and differentiation of M. tuberculosis infection status, the simultaneous detection of multiple targets was attempted. The combination of IFN-γ, TNF-α, and IL-2R, and the combination of TNF-α, IL-2R, CXCL9, and CXCL10 showed the best performance for detecting active PTB (both 100% positivity) and LTBI (86.36% and 81.82% positivity, respectively). These results imply that the combination of suitable markers is useful in efficiently diagnosing TB and differentiating M. tuberculosis infection status.
Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25528189     DOI: 10.1016/j.jmoldx.2014.08.005

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  10 in total

1.  Diagnostic Accuracy of Interferon Gamma-Induced Protein 10 mRNA Release Assay for Tuberculosis.

Authors:  Thomas Blauenfeldt; Raquel Villar-Hernández; Esther García-García; Irene Latorre; Line Lindebo Holm; Beatriz Muriel-Moreno; Maria Luiza De Souza-Galvão; Joan Pau Millet; Fina Sabriá; Adrián Sánchez-Montalva; Juan Ruiz-Manzano; Jose Pilarte; María A Jiménez; Carmen Centeno; Carmen Torres; Israel Molina-Pinargote; Yoel D González-Díaz; Javier Santiago; Adela Cantos; Cristina Prat; Peter Andersen; Jose Domínguez; Morten Ruhwald
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

2.  Serum CXCL11 correlates with pulmonary outcomes and disease burden in sarcoidosis.

Authors:  Nicholas K Arger; Melissa Ho; Prescott G Woodruff; Laura L Koth
Journal:  Respir Med       Date:  2019-04-17       Impact factor: 3.415

3.  CXCL9 and CXCL10 are differentially associated with systemic organ involvement and pulmonary disease severity in sarcoidosis.

Authors:  Nicholas K Arger; Melissa E Ho; Isabel E Allen; Bryan S Benn; Prescott G Woodruff; Laura L Koth
Journal:  Respir Med       Date:  2019-11-20       Impact factor: 3.415

4.  Unique Chemokine Profiles of Lung Tissues Distinguish Post-chemotherapeutic Persistent and Chronic Tuberculosis in a Mouse Model.

Authors:  Soomin Park; Seung-Hun Baek; Sang-Nae Cho; Young-Saeng Jang; Ahreum Kim; In-Hong Choi
Journal:  Front Cell Infect Microbiol       Date:  2017-07-13       Impact factor: 5.293

5.  The meta-analysis for ideal cytokines to distinguish the latent and active TB infection.

Authors:  Zhenhong Wei; Yuanting Li; Chaojun Wei; Yonghong Li; Hui Xu; Yu Wu; Yanjuan Jia; Rui Guo; Jing Jia; Xiaoming Qi; Zhenhao Li; Xiaoling Gao
Journal:  BMC Pulm Med       Date:  2020-09-18       Impact factor: 3.317

6.  Evaluation of cytokines as a biomarker to distinguish active tuberculosis from latent tuberculosis infection: a diagnostic meta-analysis.

Authors:  Beibei Qiu; Qiao Liu; Zhongqi Li; Huan Song; Dian Xu; Ye Ji; Yan Jiang; Dan Tian; Jianming Wang
Journal:  BMJ Open       Date:  2020-10-07       Impact factor: 2.692

7.  Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis.

Authors:  Junseong Kim; Heechul Park; Sung-Bae Park; Eun Ju Lee; Min-A Je; Eunsol Ahn; Bora Sim; Jiyoung Lee; Hyunwoo Jin; Kyung Eun Lee; Sang-Nae Cho; Young Ae Kang; Hyejon Lee; Sunghyun Kim; Jungho Kim
Journal:  Diagnostics (Basel)       Date:  2022-02-01

8.  High IFN-γ Release and Impaired Capacity of Multi-Cytokine Secretion in IGRA Supernatants Are Associated with Active Tuberculosis.

Authors:  Séverine Carrère-Kremer; Pierre-Alain Rubbo; Amandine Pisoni; Sophie Bendriss; Grégory Marin; Marianne Peries; Karine Bolloré; Dominique Terru; Sylvain Godreuil; Arnaud Bourdin; Philippe Van de Perre; Edouard Tuaillon
Journal:  PLoS One       Date:  2016-09-07       Impact factor: 3.240

9.  Gaps in Study Design for Immune Parameter Research for Latent Tuberculosis Infection: A Systematic Review.

Authors:  Mariana Herrera; Cristian Vera; Yoav Keynan; Zulma Vanessa Rueda
Journal:  J Immunol Res       Date:  2020-04-21       Impact factor: 4.818

10.  Monokine induced by gamma interferon for detecting pulmonary tuberculosis: A diagnostic meta-analysis.

Authors:  Yang Li; Dengqi He; Yinfu Che; Xinchen Zhao
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  10 in total

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