Literature DB >> 31121336

Elucidation of drug resistance mutations in Mycobacterium tuberculosis isolates from North India by whole-genome sequencing.

Sunil Sethi1, Yuhan Hao2, Stuart M Brown3, Timothy Walker4, Rakesh Yadav5, Kamran Zaman5, Ashutosh Nath Aggarwal6, Digambar Behera6.   

Abstract

OBJECTIVES: Rapid diagnosis of drug-resistant tuberculosis (TB) is required for better patient management and treatment outcomes. Whole-genome sequencing (WGS) can be used to detect single nucleotide polymorphisms (SNPs) and deletions/insertions that are responsible for mostMycobacterium tuberculosis drug resistance. WGS is being performed at scale in high-income countries, but there are limited reports of its use in India.
METHODS: In this study, 33 clinicalM. tuberculosis isolates from the Mycobacterial Repository in Chandigarh underwent WGS. Phenotypic drug susceptibility testing was performed according to World Health Organization (WHO) recommendations. Four isolates were excluded from the analysis due to culture contamination or mislabelling during the study.
RESULTS: Among the remaining 29 isolates, 21 (72.4%) were multidrug-resistant TB (MDR-TB) and 1 (3.4%) was extensively-drug resistant TB (XDR-TB). The most common mutations observed for isoniazid, rifampicin, ofloxacin and kanamycin resistance werekatG(S315T), rpoB(S450L), gyrA(A90V) and rrs(A1401G), respectively. The isolates mainly belonged to lineages 2 and 3, with most MDR-TB among lineage 2 isolates.
CONCLUSION: WGS ofM. tuberculosis isolates allows the detection of drug resistance to all drugs in a single test and also provides insight into the evolution and drug-resistant TB.
Copyright © 2019 International Society for Antimicrobial Chemotherapy. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diagnosis; Drug resistance; Strain typing; Tuberculosis; Whole-genome sequencing

Mesh:

Substances:

Year:  2019        PMID: 31121336     DOI: 10.1016/j.jgar.2019.05.019

Source DB:  PubMed          Journal:  J Glob Antimicrob Resist        ISSN: 2213-7165            Impact factor:   4.035


  4 in total

Review 1.  Strategies for advanced personalized tuberculosis diagnosis: Current technologies and clinical approaches.

Authors:  Xuerong Chen; Tony Y Hu
Journal:  Precis Clin Med       Date:  2021-01-18

2.  First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach.

Authors:  Stephanie J Müller; Rebone L Meraba; Gciniwe S Dlamini; Darlington S Mapiye
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

Review 3.  Mutations Associated with Rifampicin Resistance in Mycobacterium tuberculosis Isolates from Moroccan Patients: Systematic Review.

Authors:  Rkia Eddabra; Mounsef Neffa
Journal:  Interdiscip Perspect Infect Dis       Date:  2020-10-09

4.  High fluoroquinolone resistance proportions among multidrug-resistant tuberculosis driven by dominant L2 Mycobacterium tuberculosis clones in the Mumbai Metropolitan Region.

Authors:  Viola Dreyer; Ayan Mandal; Prachi Dev; Nerges Mistry; Stefan Niemann; Matthias Merker; Ivan Barilar; Christian Utpatel; Kayzad Nilgiriwala; Camilla Rodrigues; Derrick W Crook; Jean-Philippe Rasigade; Thierry Wirth
Journal:  Genome Med       Date:  2022-08-22       Impact factor: 15.266

  4 in total

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