Literature DB >> 22085772

Detection of immune cell response to M. tuberculosis-specific antigens by quantitative polymerase chain reaction.

Ilona Bibova1, Irena Linhartova, Ondrej Stanek, Vendula Rusnakova, Mikael Kubista, Miloslav Suchanek, Martina Vasakova, Peter Sebo.   

Abstract

One third of the world's population is latently infected with Mycobacterium tuberculosis (Mtb) and up to 10% of infected individuals develop active tuberculosis (TB) in their lifetime. Among the major challenges in the control of TB is the implementation of sensitive methods for detection of latent tuberculosis infection (LTBI). Currently, in vitro interferon gamma release assays, yielding single value readout, are used as an alternative to the traditional tuberculin skin test for the diagnosis of LTBI. More complex characterization of immune status of LTBI individuals, however, is desirable for indication of LTBI subjects for preventative chemotherapy. Here we describe a quantitative polymerase chain reaction (qPCR) for determination of expression levels of 14 genes, additional to interferon gamma, which was applied for comparison of the specific Mtb-antigen immune response of blood cells from healthy, latently infected, and TB individuals. With the use of principal component analysis and discriminant analysis, a pattern of mRNA levels of 6 genes was identified, allowing discrimination of healthy individuals from active TB and LTBI subjects. These results open the way to development of multimarker qPCR for the detection of LTBI.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22085772     DOI: 10.1016/j.diagmicrobio.2011.09.024

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  7 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.  Assessment of diagnostic techniques of urinary tuberculosis.

Authors:  Khaled Ghaleb; Magdy Afifi; Mohamad El-Gohary
Journal:  Mediterr J Hematol Infect Dis       Date:  2013-06-03       Impact factor: 2.576

3.  Evaluation of the diagnostic potential of IP-10 and IL-2 as biomarkers for the diagnosis of active and latent tuberculosis in a BCG-vaccinated population.

Authors:  Sen Wang; Ni Diao; Chanyi Lu; Jing Wu; Yan Gao; Jiazhen Chen; Zumo Zhou; Heqing Huang; Lingyun Shao; Jialin Jin; Xinhua Weng; Ying Zhang; Wenhong Zhang
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

4.  Development of a one-step probe based molecular assay for rapid immunodiagnosis of infection with M. tuberculosis using dried blood spots.

Authors:  Thomas Blauenfeldt; Jan Heyckendorf; Sidse Graff Jensen; Christoph Lange; Camilla Drabe; Thomas S Hermansen; Lena de Thurah; Troels Lillebaek; Jesper Eugen-Olsen; Niels Seersholm; Søren Hoff; Jesper Bonde; Morten Ruhwald
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

5.  A Feasibility Study for Diagnosis of Latent Tuberculosis Infection Using an IGRA Point-of-Care Platform in South Korea.

Authors:  Yun Gyoung Hur; Ji Young Hong; Dong Hwan Choi; Ahreum Kim; So Yeong Park; Minsuk Kwon; Kyungjoon Kang; Jeong Min Lee; Hazel M Dockrell; Yoonsuk Lee; Hoodon Joo; Sang Nae Cho
Journal:  Yonsei Med J       Date:  2019-04       Impact factor: 2.759

6.  Gene expression profiling identifies candidate biomarkers for active and latent tuberculosis.

Authors:  Shih-Wei Lee; Lawrence Shih-Hsin Wu; Guan-Mau Huang; Kai-Yao Huang; Tzong-Yi Lee; Julia Tzu-Ya Weng
Journal:  BMC Bioinformatics       Date:  2016-01-11       Impact factor: 3.169

7.  Suppressors of cytokine signaling in tuberculosis.

Authors:  Shih-Wei Lee; Chi-Wei Liu; Jia-Ying Hu; Li-Mei Chiang; Chih-Pin Chuu; Lawrence Shih-Hsin Wu; Yung-Hsi Kao
Journal:  PLoS One       Date:  2017-04-21       Impact factor: 3.240

  7 in total

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