Dataset Information

Linezolid resistance in Mycobacterium tuberculosis isolates at a tertiary care centre in Mumbai, India.

ABSTRACT:

Background & objectives

Linezolid (LZD) is increasingly being used in tuberculosis (TB) treatment. However, LZD resistance has already been reported, which is highly alarming, given its critical therapeutic role. This study was aimed to phenotypically and genotypically assess LZD resistance in Mycobacterium tuberculosis (MTB) isolates at a laboratory in a tertiary care centre in Mumbai, India.

Methods

A sample of 32 consecutive LZD-resistant MTB isolates identified by liquid culture susceptibility testing was subjected to whole-genome sequencing (WGS) on the Illumina NextSeq platform. Sequences were analyzed using BioNumerics software to predict resistance for 12 antibiotics within 15 min.

Results

Sixty eight of the 2179 isolates tested for LZD resistance by MGIT-based susceptibility testing (June 2015 to June 2016) were LZD-resistant. Thirty two consecutive LZD-resistant isolates were analyzed by WGS to screen for known mutations conferring LZD resistance. WGS of 32 phenotypically LZD-resistant isolates showed that C154R in the rplC gene and G2814T in the rrl gene were the major resistance determinants.

Interpretation & conclusions

LZD resistance poses an important risk to the success of treatment regimens, especially those designed for resistant isolates; such regimens are extensively used in India. As LZD-containing regimens increase in prominence, it is important to support clinical decision-making with an improved understanding of the common mutations conferring LZD resistance and their frequency in different settings.

SUBMITTER: Nambiar R

PROVIDER: S-EPMC8715694 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Current knowledge on resistance-conferring determinants in Mycobacterium tuberculosis is biased toward globally dominant lineages 2 and 4. In contrast, lineages 1 and 3 are predominant in India. In this study, we performed whole-genome sequencing of 498 MDR M. tuberculosis isolates from India to determine the prevalence of drug resistance mutations and to understand the genomic diversity. A retrospective collection of 498 M. tuberculosis isolates submitted to the National Institute for Research in Tuberculosis for phenotypic susceptibility testing between 2014 to 2016 were sequenced. Genotypic resistance prediction was performed using known resistance-conferring determinants. Genotypic and phenotypic results for 12 antituberculosis drugs were compared, and sequence data were explored to characterize lineages and their association with drug resistance. Four lineages were identified although lineage 1 predominated (43%). The sensitivity of prediction for isoniazid and rifampicin was 92% and 98%, respectively. We observed lineage-specific variations in the proportion of isolates with resistance-conferring mutations, with drug resistance more common in lineages 2 and 3. Disputed mutations (codons 430, 435, 445, and 452) in the rpoB gene were more common in isolates other than lineage 2. Phylogenetic analysis and pairwise SNP difference revealed high genetic relatedness of lineage 2 isolates. WGS based resistance prediction has huge potential, but knowledge of regional and national diversity is essential to achieve high accuracy for resistance prediction. IMPORTANCE Current knowledge on resistance-conferring determinants in Mycobacterium tuberculosis is biased toward globally dominant lineages 2 and 4. In contrast, lineages 1 and 3 are predominant in India. We performed whole-genome sequencing of 498 MDR M. tuberculosis isolates from India to determine the prevalence of drug resistance mutations and to understand genomic diversity. Four lineages were identified although lineage 1 predominated (43%). The sensitivity of prediction for isoniazid and rifampicin was 92% and 98%, respectively. We observed lineage-specific variations in the proportion of isolates with resistance-conferring mutations, with drug resistance more common in lineages 2 and 3. Disputed mutations (codons 430, 435, 445, and 452) in the rpoB gene were more common in isolates other than lineage 2. Phylogenetic analysis and pairwise SNP difference revealed high genetic relatedness of lineage 2 isolates. WGS based resistance prediction has huge potential, but knowledge of regional and national diversity is essential to achieve high accuracy for resistance prediction.