Gamma Interferon Release Assays for Detection of Mycobacterium tuberculosis Infection

Author:

Pai Madhukar1,Denkinger Claudia M.12,Kik Sandra V.1,Rangaka Molebogeng X.3,Zwerling Alice4,Oxlade Olivia5,Metcalfe John Z.6,Cattamanchi Adithya6,Dowdy David W.4,Dheda Keertan7,Banaei Niaz8

Affiliation:

1. McGill International TB Centre and Department of Epidemiology & Biostatistics, McGill University, Montreal, Canada

2. Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA

3. Institute of Infectious Diseases and Molecular Medicine and Centre for Infectious Diseases and Epidemiology Research, University of Cape Town, Cape Town, South Africa

4. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

5. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA

6. Division of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA

7. Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa

8. Department of Pathology and Medicine, Stanford University School of Medicine, Palo Alto, California, USA

Abstract

SUMMARY Identification and treatment of latent tuberculosis infection (LTBI) can substantially reduce the risk of developing active disease. However, there is no diagnostic gold standard for LTBI. Two tests are available for identification of LTBI: the tuberculin skin test (TST) and the gamma interferon (IFN-γ) release assay (IGRA). Evidence suggests that both TST and IGRA are acceptable but imperfect tests. They represent indirect markers of Mycobacterium tuberculosis exposure and indicate a cellular immune response to M. tuberculosis . Neither test can accurately differentiate between LTBI and active TB, distinguish reactivation from reinfection, or resolve the various stages within the spectrum of M. tuberculosis infection. Both TST and IGRA have reduced sensitivity in immunocompromised patients and have low predictive value for progression to active TB. To maximize the positive predictive value of existing tests, LTBI screening should be reserved for those who are at sufficiently high risk of progressing to disease. Such high-risk individuals may be identifiable by using multivariable risk prediction models that incorporate test results with risk factors and using serial testing to resolve underlying phenotypes. In the longer term, basic research is necessary to identify highly predictive biomarkers.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Microbiology (medical),Public Health, Environmental and Occupational Health,General Immunology and Microbiology,Epidemiology

Reference137 articles.

1. World Health Organization. 2013. Global tuberculosis control: WHO report 2013. WHO, Geneva, Switzerland.

2. The spectrum of latent tuberculosis: rethinking the biology and intervention strategies

3. The immunology of tuberculosis: From bench to bedside

4. Preventive chemotherapy. Where has it got us? Where to go next?;Landry J;Int. J. Tuberc. Lung Dis.,2008

5. Targeted Tuberculin Testing and Treatment of Latent Tuberculosis Infection

Cited by 666 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3