4.7 Article

Rapid identification of multidrug-resistant Mycobacterium tuberculosis isolates by rpoB gene scanning using high-resolution melting curve PCR analysis

Journal

JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
Volume 63, Issue 6, Pages 1121-1127

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/jac/dkp124

Keywords

HRM; rifampicin resistance; MDR-TB; SNP analysis; mutation detection

Funding

  1. Austrian Society for Antimicrobial Chemotherapy (OGACH)

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Multidrug-resistant (MDR) Mycobacterium tuberculosis poses a serious threat to the control of tuberculosis (TB) and constitutes an increasing public health problem. The availability of rapid in vitro susceptibility tests is a prerequisite for optimal patient treatment. Rifampicin resistance caused by diverse mutations in the rpoB gene is an established and widely used surrogate marker for MDR-TB. We used a high-resolution melting (HRM) curve analysis approach to scan for mutations in the rpoB gene. A total of 49 MDR-TB and 19 fully susceptible non-MDR-TB isolates, as determined by conventional drug susceptibility testing using the BACTEC-MGIT960 system, were used to evaluate the suitability of HRM curve analysis as a rapid and accurate screening system for rifampicin resistance. HRM analysis of the rpoB cluster I site allowed the correct allocation of 44 of the 49 MDR-TB isolates and all non-MDR-TB isolates. Three of the five MDR-TB isolates (60%) falsely identified as non-MDR-TB harboured the V176F mutation that could be specifically detected by an additional HRM assay. The combined HRM analysis of all strains and isolates exhibited 95.9% sensitivity and 100% specificity. With a positive predictive value of 100% and a negative predictive value of at least 99.9%, this combined HRM curve analysis is an ideal screening method for the TB laboratory, with minimal requirements of cost and time. The method is a closed-tube assay that can be performed in an interchangeable 96- or 384-well microplate format enabling a rapid, reliable, simple and cost-effective handling of even large sample numbers.

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