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A Simple, Rapid and Economic Method for Detecting Multidrug-resistant Tuberculosis

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Date 2013 Sep 14
PMID 24029439
Citations 2
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Abstract

Objective: To evaluate multiplex allele specific polymerase chain reaction as a rapid molecular tool for detecting multidrug-resistant tuberculosis.

Methods: Based on drug susceptibility testing, 103 isolates were multidrug-resistant tuberculosis and 45 isolates were sensitive to isonicotinylhydrazine and rifampin. Primers were designed to target five mutations hotspots that confer resistance to the first-line drugs isoniazid and rifampin, and multiplex allele specific polymerase chain reaction was performed. Whole-genome sequencing confirmed drug resistance mutations identified by multiplex allele specific polymerase chain reaction.

Results: DNA sequencing revealed that 68.9% of multidrug-resistant strains have point mutations at codon 315 of the katG gene, 19.8% within the mabA-inhA promoter, and 98.0% at three hotspots within rpoB. Multiplex allele specific polymerase chain reaction detected each of these five mutations, yielding 82.3% sensitivity and 100% specificity for isoniazid resistance, and 97.9% sensitivity and 100% specificity for rifampin resistance as compared to drug susceptibility testing.

Conclusions: The results show that multiplex allele specific polymerase chain reaction is an inexpensive and practical method for rapid detection of multidrug-resistant tuberculosis in developing countries.

Citing Articles

Detection of multidrug-resistant Mycobacterium tuberculosis strains isolated in Brazil using a multimarker genetic assay for katG and rpoB genes.

Cafe Oliveira L, Muniz-Sobrinho J, Viana-Magno L, Oliveira Melo S, Macho A, Rios-Santos F Braz J Infect Dis. 2016; 20(2):166-72.

PMID: 26874220 PMC: 9427640. DOI: 10.1016/j.bjid.2015.12.008.


Genetic diversity and molecular epidemiology of multidrug-resistant Mycobacterium tuberculosis in Minas Gerais State, Brazil.

Dantas N, Suffys P, Carvalho W, Magdinier Gomes H, de Almeida I, de Assis L BMC Infect Dis. 2015; 15:306.

PMID: 26231661 PMC: 4521345. DOI: 10.1186/s12879-015-1057-y.

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