Literature DB >> 25355771

Diagnostic value of GeneChip for detection of resistant Mycobacterium tuberculosis in patients with differing treatment histories.

Limei Zhu1, Qiao Liu1, Leonardo Martinez2, Jinyan Shi3, Cheng Chen1, Yan Shao1, Chongqiao Zhong4, Honghuan Song1, Guoli Li1, Xiaoyan Ding1, Yang Zhou1, Linyang Zhu4, Christopher C Whalen5, Wei Lu6.   

Abstract

The increasing burden of drug-resistant tuberculosis (TB) poses an escalating threat to national TB control programs. To assist appropriate treatment for TB patients, accurate and rapid detection of drug resistance is critical. The GeneChip test is a novel molecular tool for the diagnosis of TB drug resistance. Performance-related data on GeneChip are limited, and evaluation in new and previously treated TB cases has never been performed. We evaluated the diagnostic performance of GeneChip in detecting resistance to rifampin (RMP) and isoniazid (INH) and in detecting multidrug-resistant tuberculosis (MDR-TB) in comparison with standard drug susceptibility testing (DST) and compared the results in a group of previously treated and newly detected TB patients in an urban area in southeastern China. One thousand one hundred seventy-three (83.8%) new cases and 227 (16.2%) previously treated cases were collected between January 2011 and September 2013. The GeneChip showed a specificity of 97.8% and a sensitivity of 94.8% for detection of RMP resistance and 97.3% and 70.9%, respectively, for INH resistance in new cases. For previously treated cases, the overall sensitivity, specificity, and agreement rate are 94.6%, 91.3%, and 92.1%, respectively, for detection of RMP resistance and 69.7%, 95.4%, and 86.8%, respectively, for INH resistance. The sensitivity and specificity of MDR-TB were 81.8% and 99.0% in new cases and 77.8% and 93.4% in previously treated cases, respectively. The GeneChip system provides a simple, rapid, reliable, and accurate clinical assay for the detection of TB drug resistance, and it is a potentially important diagnostic tool in a high-prevalence area.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25355771      PMCID: PMC4290911          DOI: 10.1128/JCM.02283-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  26 in total

1.  Rapid detection of Mycobacterium tuberculosis complex and rifampin resistance in smear-negative clinical samples by use of an integrated real-time PCR method.

Authors:  Raquel Moure; Laura Muñoz; Miriam Torres; Miguel Santin; Rogelio Martín; Fernando Alcaide
Journal:  J Clin Microbiol       Date:  2010-12-29       Impact factor: 5.948

Review 2.  Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis: epidemiology and control.

Authors:  Alberto Matteelli; Giovanni Battista Migliori; Daniela Cirillo; Rosella Centis; Enrico Girard; Mario Raviglion
Journal:  Expert Rev Anti Infect Ther       Date:  2007-10       Impact factor: 5.091

3.  Performance of the Xpert MTB/RIF assay on nonrespiratory specimens and accuracy of this assay for detection of rifampin resistance in a low-prevalence setting.

Authors:  Annette Blaich; Reno Frei
Journal:  J Clin Microbiol       Date:  2014-02       Impact factor: 5.948

4.  Biochip system for rapid and accurate identification of mycobacterial species from isolates and sputum.

Authors:  Lingxiang Zhu; Guanglu Jiang; Shengfen Wang; Can Wang; Qiang Li; Hao Yu; Yang Zhou; Bing Zhao; Hairong Huang; Wanli Xing; Keith Mitchelson; Jing Cheng; Yanlin Zhao; Yong Guo
Journal:  J Clin Microbiol       Date:  2010-08-04       Impact factor: 5.948

5.  Transmission of Mycobacterium tuberculosis from patients smear-negative for acid-fast bacilli.

Authors:  M A Behr; S A Warren; H Salamon; P C Hopewell; A Ponce de Leon; C L Daley; P M Small
Journal:  Lancet       Date:  1999-02-06       Impact factor: 79.321

6.  Mycobacterium tuberculosis strains with highly discordant rifampin susceptibility test results.

Authors:  A Van Deun; L Barrera; I Bastian; L Fattorini; H Hoffmann; K M Kam; L Rigouts; S Rüsch-Gerdes; A Wright
Journal:  J Clin Microbiol       Date:  2009-09-16       Impact factor: 5.948

7.  Rapid, accurate determination of multidrug resistance in M. tuberculosis isolates and sputum using a biochip system.

Authors:  Y Guo; Y Zhou; C Wang; L Zhu; S Wang; Q Li; G Jiang; B Zhao; H Huang; H Yu; W Xing; K Mitchelson; Jing Cheng; Yanlin Zhao
Journal:  Int J Tuberc Lung Dis       Date:  2009-07       Impact factor: 2.373

8.  Epidemiology of anti-tuberculosis drug resistance in a Chinese population: current situation and challenges ahead.

Authors:  Yan Shao; Dandan Yang; Weiguo Xu; Wei Lu; Honghuan Song; Yaoyao Dai; Hongbing Shen; Jianming Wang
Journal:  BMC Public Health       Date:  2011-02-17       Impact factor: 3.295

9.  Determinants of treatment adherence among smear-positive pulmonary tuberculosis patients in Southern Ethiopia.

Authors:  Estifanos Biru Shargie; Bernt Lindtjørn
Journal:  PLoS Med       Date:  2007-02       Impact factor: 11.069

10.  Clusters of multidrug-resistant Mycobacterium tuberculosis cases, Europe.

Authors:  Isabelle Devaux; Kristin Kremer; Herre Heersma; Dick Van Soolingen
Journal:  Emerg Infect Dis       Date:  2009-07       Impact factor: 6.883

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  2 in total

1.  GeneChip analysis of resistant Mycobacterium tuberculosis with previously treated tuberculosis in Changchun.

Authors:  Ming-Jin Zhang; Wen-Zhi Ren; Xue-Juan Sun; Yang Liu; Ke-Wei Liu; Zhong-Hao Ji; Wei Gao; Bao Yuan
Journal:  BMC Infect Dis       Date:  2018-05-22       Impact factor: 3.090

2.  Diagnostic Performance of GeneChip for the Rapid Detection of Drug-Resistant Tuberculosis in Different Subgroups of Patients.

Authors:  Jinyan Shi; Bilin Tao; Zhongqi Li; Huan Song; Jizhou Wu; Beibei Qiu; Jianming Wang
Journal:  Infect Drug Resist       Date:  2021-02-17       Impact factor: 4.003

  2 in total

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