Literature DB >> 20164280

Rapid detection of rifampicin- and isoniazid-resistant Mycobacterium tuberculosis by high-resolution melting analysis.

Danny C T Ong1, Wing-Cheong Yam, Gilman K H Siu, Ann S G Lee.   

Abstract

We have developed a high-resolution melting (HRM) assay to scan for mutations in the rpoB, inhA, ahpC, and katG genes and/or promoter regions for the detection of rifampin and isoniazid resistance in Mycobacterium tuberculosis. For assay development, 23 drug-resistant isolates of M. tuberculosis having 29 different mutations, together with 40 drug-susceptible isolates, were utilized. All 29 mutations were accurately detected by our assay. We further validated the assay with a series of 59 samples tested in a blind manner. All sequence alterations that were within the regions targeted by the HRM assay were correctly identified. Compared against results of DNA sequencing, the sensitivity and specificity of our HRM assay were 100%. For the blinded samples, the specificities and sensitivities were 89.3% and 100%, respectively, for detecting rifampin resistance and 98.1% and 83.3%, respectively, for detecting isoniazid resistance, as isolates with mutations in regions not encompassed by our assay were not detected. A C-to-T sequence alteration at position -15 of the ahpC regulatory region, which was previously reported to be associated with isoniazid resistance, may possibly be a polymorphism, as it was detected in an isoniazid-susceptible M. tuberculosis isolate. HRM is a rapid, accurate, simple, closed-tube, and low-cost method. It is thus an ideal assay to be used in countries with a high prevalence of drug-resistant M. tuberculosis and where cost-effectiveness is essential. As a mutation-scanning assay for detecting drug-resistant M. tuberculosis, it can potentially lead to better treatment outcomes resulting from earlier treatment with the appropriate antibiotics.

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Year:  2010        PMID: 20164280      PMCID: PMC2849564          DOI: 10.1128/JCM.02036-09

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


  45 in total

Review 1.  The genetics and biochemistry of isoniazid resistance in mycobacterium tuberculosis.

Authors:  R A Slayden; C E Barry
Journal:  Microbes Infect       Date:  2000-05       Impact factor: 2.700

2.  Detection of rpoB mutations in Mycobacterium tuberculosis by biprobe analysis.

Authors:  K J Edwards; L A Metherell; M Yates; N A Saunders
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

3.  High prevalence of KatG Ser315Thr substitution among isoniazid-resistant Mycobacterium tuberculosis clinical isolates from northwestern Russia, 1996 to 2001.

Authors:  Igor Mokrousov; Olga Narvskaya; Tatiana Otten; Elena Limeschenko; Lidia Steklova; Boris Vyshnevskiy
Journal:  Antimicrob Agents Chemother       Date:  2002-05       Impact factor: 5.191

4.  Characterization of pyrazinamide and ofloxacin resistance among drug resistant Mycobacterium tuberculosis isolates from Singapore.

Authors:  Ann S G Lee; Lynn L H Tang; Irene H K Lim; Sin Yew Wong
Journal:  Int J Infect Dis       Date:  2002-03       Impact factor: 3.623

5.  Amplicon melting analysis with labeled primers: a closed-tube method for differentiating homozygotes and heterozygotes.

Authors:  Cameron N Gundry; Joshua G Vandersteen; Gudrun H Reed; Robert J Pryor; Jian Chen; Carl T Wittwer
Journal:  Clin Chem       Date:  2003-03       Impact factor: 8.327

Review 6.  Molecular diagnosis of mycobacteria.

Authors:  H Soini; J M Musser
Journal:  Clin Chem       Date:  2001-05       Impact factor: 8.327

7.  Frequency of rpoB mutations inside and outside the cluster I region in rifampin-resistant clinical Mycobacterium tuberculosis isolates.

Authors:  M Heep; B Brandstätter; U Rieger; N Lehn; E Richter; S Rüsch-Gerdes; S Niemann
Journal:  J Clin Microbiol       Date:  2001-01       Impact factor: 5.948

8.  Genotypic analysis of Mycobacterium tuberculosis in two distinct populations using molecular beacons: implications for rapid susceptibility testing.

Authors:  A S Piatek; A Telenti; M R Murray; H El-Hajj; W R Jacobs; F R Kramer; D Alland
Journal:  Antimicrob Agents Chemother       Date:  2000-01       Impact factor: 5.191

9.  Mutations in the rpoB and katG genes leading to drug resistance in Mycobacterium tuberculosis in Latvia.

Authors:  T Tracevska; I Jansone; L Broka; O Marga; V Baumanis
Journal:  J Clin Microbiol       Date:  2002-10       Impact factor: 5.948

10.  Contribution of dfrA and inhA mutations to the detection of isoniazid-resistant Mycobacterium tuberculosis isolates.

Authors:  Yu Min Ho; Yong-Jiang Sun; Sin-Yew Wong; Ann S G Lee
Journal:  Antimicrob Agents Chemother       Date:  2009-07-06       Impact factor: 5.191

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  19 in total

1.  Rapid detection of isoniazid, rifampin, and ofloxacin resistance in Mycobacterium tuberculosis clinical isolates using high-resolution melting analysis.

Authors:  Xiaoyou Chen; Fanrong Kong; Qinning Wang; Chuanyou Li; Jianyuan Zhang; Gwendolyn L Gilbert
Journal:  J Clin Microbiol       Date:  2011-08-10       Impact factor: 5.948

2.  Rapid, high-throughput detection of rifampin resistance and heteroresistance in Mycobacterium tuberculosis by use of sloppy molecular beacon melting temperature coding.

Authors:  Soumitesh Chakravorty; Harsheel Kothari; Bola Aladegbami; Eun Jin Cho; Jong Seok Lee; Sandy S Roh; Hyunchul Kim; Hyungkyung Kwak; Eun Gae Lee; Soo Hee Hwang; Padmapriya P Banada; Hassan Safi; Laura E Via; Sang-Nae Cho; Clifton E Barry; David Alland
Journal:  J Clin Microbiol       Date:  2012-04-25       Impact factor: 5.948

3.  Multiplex real-time PCR melting curve assay to detect drug-resistant mutations of Mycobacterium tuberculosis.

Authors:  Tao Luo; Lili Jiang; Weiming Sun; G Fu; Jian Mei; Qian Gao
Journal:  J Clin Microbiol       Date:  2011-07-13       Impact factor: 5.948

4.  Rapid detection of multidrug-resistant Mycobacterium tuberculosis by use of real-time PCR and high-resolution melt analysis.

Authors:  Melissa V Ramirez; Kelley C Cowart; Patricia J Campbell; Glenn P Morlock; David Sikes; Jonas M Winchell; James E Posey
Journal:  J Clin Microbiol       Date:  2010-09-01       Impact factor: 5.948

5.  Direct Detection of Rifampin and Isoniazid Resistance in Sputum Samples from Tuberculosis Patients by High-Resolution Melt Curve Analysis.

Authors:  Divya Anthwal; Rakesh Kumar Gupta; Manpreet Bhalla; Shinjini Bhatnagar; Jaya Sivaswami Tyagi; Sagarika Haldar
Journal:  J Clin Microbiol       Date:  2017-03-22       Impact factor: 5.948

6.  High-resolution melting curve analysis for rapid detection of rifampin resistance in Mycobacterium tuberculosis: a meta-analysis.

Authors:  Xiaomao Yin; Lei Zheng; Qinlan Liu; Li Lin; Xiumei Hu; Yanwei Hu; Qian Wang
Journal:  J Clin Microbiol       Date:  2013-07-24       Impact factor: 5.948

7.  High-resolution melting curve analysis for rapid detection of rifampin and isoniazid resistance in Mycobacterium tuberculosis clinical isolates.

Authors:  Go Eun Choi; Sun Min Lee; Jongyoun Yi; Sang Hyun Hwang; Hyung Hoi Kim; Eun Yup Lee; Eun Hae Cho; Jee Hee Kim; Hwa-Jung Kim; Chulhun L Chang
Journal:  J Clin Microbiol       Date:  2010-09-15       Impact factor: 5.948

8.  An upstream truncation of the furA-katG operon confers high-level isoniazid resistance in a Mycobacterium tuberculosis clinical isolate with no known resistance-associated mutations.

Authors:  Gilman Kit Hang Siu; Wing Cheong Yam; Ying Zhang; Richard Y T Kao
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

9.  Genetic screening of Fabry patients with EcoTILLING and HRM technology.

Authors:  Caterina Bono; Domenico Nuzzo; Giuseppe Albeggiani; Carmela Zizzo; Daniele Francofonte; Francesco Iemolo; Enzo Sanzaro; Giovanni Duro
Journal:  BMC Res Notes       Date:  2011-09-06

10.  High-resolution melting analysis for the rapid detection of fluoroquinolone and streptomycin resistance in Mycobacterium tuberculosis.

Authors:  Ann S G Lee; Danny C T Ong; Joshua C L Wong; Gilman K H Siu; Wing-Cheong Yam
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

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