Literature DB >> 27903459

True rifampicin resistance missed by the MGIT: prevalence of this pheno/genotype in the UK and Ireland after 18 month surveillance.

X Gonzalo1, P Claxton2, T Brown3, L Montgomery4, M Fitzgibbon4, I Laurenson2, F Drobniewski5.   

Abstract

OBJECTIVES: To characterize rifampicin-resistant strains missed by the Mycobacteria Growth Indicator Tube (MGIT) 960 system but not by egg-based media in the UK and Ireland and to ascertain their prevalence.
METHODS: All strains sent for second-line susceptibility testing were prospectively collected. Drug Susceptibility Testing was performed by Resistance Ratio (RR), Proportion Method (PM), MGIT 960 and MIC determination by microdilution. Rifampicin-resistance-conferring mutations were detected with line probe assays and sequencing. At the end of the study period, retrospective archived strains from 2010 to 2014 showing key mutations were analysed phenotypically and genotypically.
RESULTS: Seventeen of 7234 prospective isolates were included. All of them were susceptible by MGIT. One was borderline by RR (MIC to rifampicin of 4 mg/L) and was resistant by PM. Eight were resistant and eight were highly resistant on RR. These 16 isolates had MICs between 1 and 8 mg/L on microdilution. With PM, 16/17 were susceptible to rifampicin. 17/17 had mutations in the rpoB gene. D516Y was the mutation most frequently found (13/17). Retrospectively, ten additional strains with key genotypes were found in our collection: 6/10 were susceptible in the MGIT and resistant in RR. Of the 27 studied strains, the MGIT only detected resistance in four.
CONCLUSIONS: Rifampicin resistance is missed by the MGIT system. In the UK and Ireland the prevalence of these strains is low. The introduction of routine molecular testing would detect false susceptibility. Further research is needed to ascertain the role of these strains in clinical failure and their prevalence in other settings.
Copyright © 2016 European Society of Clinical Microbiology and Infectious Diseases. All rights reserved.

Entities:  

Keywords:  Drug susceptibility testing; Genotypic dst; Line probe assay; Mycobacterium tuberculosis; Proportion method; Resistance ratio; Rifampicin; Very major error; rpoB sequencing

Mesh:

Substances:

Year:  2016        PMID: 27903459     DOI: 10.1016/j.cmi.2016.11.015

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  5 in total

1.  Retrospective Analysis of False-Positive and Disputed Rifampin Resistance Xpert MTB/RIF Assay Results in Clinical Samples from a Referral Hospital in Hunan, China.

Authors:  Peilei Hu; Hongtai Zhang; Joy Fleming; Guofeng Zhu; Shuai Zhang; Yaguo Wang; Fengping Liu; Songlin Yi; Zhongnan Chen; Zhenhua Chen; Binbin Liu; Daofang Gong; Li Wan; Xingyun Wang; Yunhong Tan; Liqiong Bai; Lijun Bi
Journal:  J Clin Microbiol       Date:  2019-03-28       Impact factor: 5.948

2.  Interpretation of Discordant Rifampicin Susceptibility Test Results Obtained Using GeneXpert vs Phenotypic Drug Susceptibility Testing.

Authors:  Fengmin Huo; Yifeng Ma; Rongmei Liu; Liping Ma; Shanshan Li; Guanglu Jiang; Fen Wang; Yuanyuan Shang; Lingling Dong; Yu Pang
Journal:  Open Forum Infect Dis       Date:  2020-07-05       Impact factor: 3.835

3.  Role of Disputed Mutations in the rpoB Gene in Interpretation of Automated Liquid MGIT Culture Results for Rifampin Susceptibility Testing of Mycobacterium tuberculosis.

Authors:  Paolo Miotto; Andrea M Cabibbe; Emanuele Borroni; Massimo Degano; Daniela M Cirillo
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

4.  What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis.

Authors:  Jan Heyckendorf; Sönke Andres; Claudio U Köser; Ioana D Olaru; Thomas Schön; Erik Sturegård; Patrick Beckert; Viola Schleusener; Thomas A Kohl; Doris Hillemann; Danesh Moradigaravand; Julian Parkhill; Sharon J Peacock; Stefan Niemann; Christoph Lange; Matthias Merker
Journal:  Antimicrob Agents Chemother       Date:  2018-01-25       Impact factor: 5.191

5.  A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis.

Authors:  Paolo Miotto; Belay Tessema; Elisa Tagliani; Leonid Chindelevitch; Angela M Starks; Claudia Emerson; Debra Hanna; Peter S Kim; Richard Liwski; Matteo Zignol; Christopher Gilpin; Stefan Niemann; Claudia M Denkinger; Joy Fleming; Robin M Warren; Derrick Crook; James Posey; Sebastien Gagneux; Sven Hoffner; Camilla Rodrigues; Iñaki Comas; David M Engelthaler; Megan Murray; David Alland; Leen Rigouts; Christoph Lange; Keertan Dheda; Rumina Hasan; Uma Devi K Ranganathan; Ruth McNerney; Matthew Ezewudo; Daniela M Cirillo; Marco Schito; Claudio U Köser; Timothy C Rodwell
Journal:  Eur Respir J       Date:  2017-12-28       Impact factor: 16.671

  5 in total

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