Literature DB >> 27810467

Mycobacterium tuberculosis drug-resistance testing: challenges, recent developments and perspectives.

T Schön1, P Miotto2, C U Köser3, M Viveiros4, E Böttger5, E Cambau6.   

Abstract

Drug-resistance testing, or antimicrobial susceptibility testing (AST), is mandatory for Mycobacterium tuberculosis in cases of failure on standard therapy. We reviewed the different methods and techniques of phenotypic and genotypic approaches. Although multiresistant and extensively drug-resistant (MDR/XDR) tuberculosis is present worldwide, AST for M. tuberculosis (AST-MTB) is still mainly performed according to the resources available rather than the drug-resistance rates. Phenotypic methods, i.e. culture-based AST, are commonly used in high-income countries to confirm susceptibility of new cases of tuberculosis. They are also used to detect resistance in tuberculosis cases with risk factors, in combination with genotypic tests. In low-income countries, genotypic methods screening hot-spot mutations known to confer resistance were found to be easier to perform because they avoid the culture and biosafety constraint. Given that genotypic tests can rapidly detect the prominent mechanisms of resistance, such as the rpoB mutation for rifampicin resistance, we are facing new challenges with the observation of false-resistance (mutations not conferring resistance) and false-susceptibility (mutations different from the common mechanism) results. Phenotypic and genotypic approaches are therefore complementary for obtaining a high sensitivity and specificity for detecting drug resistances and susceptibilities to accurately predict MDR/XDR cure and to gather relevant data for resistance surveillance. Although AST-MTB was established in the 1960s, there is no consensus reference method for MIC determination against which the numerous AST-MTB techniques can be compared. This information is necessary for assessing in vitro activity and setting breakpoints for future anti-tuberculosis agents.
Copyright © 2016 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antimicrobial susceptibility testing; Critical concentration; Critical proportion; Genetic resistance; Hot spot mutations; Minimum inhibitory concentration

Mesh:

Substances:

Year:  2016        PMID: 27810467     DOI: 10.1016/j.cmi.2016.10.022

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


  53 in total

1.  Drug susceptibility testing and mortality in patients treated for tuberculosis in high-burden countries: a multicentre cohort study.

Authors:  Kathrin Zürcher; Marie Ballif; Lukas Fenner; Sonia Borrell; Peter M Keller; Joachim Gnokoro; Olivier Marcy; Marcel Yotebieng; Lameck Diero; E Jane Carter; Neesha Rockwood; Robert J Wilkinson; Helen Cox; Nicholas Ezati; Alash'le G Abimiku; Jimena Collantes; Anchalee Avihingsanon; Kamon Kawkitinarong; Miriam Reinhard; Rico Hömke; Robin Huebner; Sebastien Gagneux; Erik C Böttger; Matthias Egger
Journal:  Lancet Infect Dis       Date:  2019-02-08       Impact factor: 25.071

2.  Cascade of deoxyribozymes for the colorimetric analysis of drug resistance in Mycobacterium tuberculosis.

Authors:  Bidhan C Dhar; Adam J Reed; Suvra Mitra; Patricia Rodriguez Sanchez; Daria D Nedorezova; Ryan P Connelly; Kyle H Rohde; Yulia V Gerasimova
Journal:  Biosens Bioelectron       Date:  2020-06-13       Impact factor: 10.618

3.  Systematic review of mutations associated with resistance to the new and repurposed Mycobacterium tuberculosis drugs bedaquiline, clofazimine, linezolid, delamanid and pretomanid.

Authors:  Suha Kadura; Nicholas King; Maria Nakhoul; Hongya Zhu; Grant Theron; Claudio U Köser; Maha Farhat
Journal:  J Antimicrob Chemother       Date:  2020-08-01       Impact factor: 5.790

Review 4.  Drug-resistance in Mycobacterium tuberculosis: where we stand.

Authors:  Amanda Mabhula; Vinayak Singh
Journal:  Medchemcomm       Date:  2019-06-11       Impact factor: 3.597

5.  Development and validation of external quality assessment panels for mycobacterial culture testing to diagnose tuberculosis in China.

Authors:  Jian Du; Wei Shu; Yuhong Liu; Yufeng Wang; Ying Zhan; Kexin Yu; Jingtao Gao; Liang Li; Yu Pang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-07-24       Impact factor: 3.267

6.  Individualised dosing algorithm and personalised treatment of high-dose rifampicin for tuberculosis.

Authors:  Robin J Svensson; Katarina Niward; Lina Davies Forsman; Judith Bruchfeld; Jakob Paues; Erik Eliasson; Thomas Schön; Ulrika S H Simonsson
Journal:  Br J Clin Pharmacol       Date:  2019-07-25       Impact factor: 4.335

Review 7.  Functional interrogation and therapeutic targeting of protein tyrosine phosphatases.

Authors:  Aaron D Krabill; Zhong-Yin Zhang
Journal:  Biochem Soc Trans       Date:  2021-08-27       Impact factor: 5.407

8.  External quality control of phenotypic drug susceptibility testing for Mycobacterium tuberculosis in China.

Authors:  Wei Shu; Jian Du; Yuhong Liu; Yufeng Wang; Fengmin Huo; Guanglu Jiang; Liang Li; Yu Pang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2020-01-02       Impact factor: 3.267

9.  Non-commercial phenotypic assays for the detection of Mycobacterium tuberculosis drug resistance: a systematic review.

Authors:  Irina Kontsevaya; Jim Werngren; Yen Holicka; Kadri Klaos; Anh Tran; Vladyslav Nikolayevskyy
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-10-30       Impact factor: 3.267

10.  Clinical implications of discrepant results between genotypic MTBDRplus and phenotypic Löwenstein-Jensen method for isoniazid or rifampicin drug susceptibility tests in tuberculosis patients.

Authors:  Ji Young Kang; Jung Hur; Shinyoung Kim; Sanghoon Jeon; Jaeha Lee; Youn Jeong Kim; Seok Chan Kim; Yeon Joon Park; Young Kyoon Kim; Hwa Sik Moon
Journal:  J Thorac Dis       Date:  2019-02       Impact factor: 2.895

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