Header

UZH-Logo

Maintenance Infos

Mycobacterium tuberculosis population structure determines the outcome of genetics-based second-line drug resistance testing


Streicher, E M; Bergval, I; Dheda, K; Böttger, E C; Gey van Pittius, N C; Bosman, M; Coetzee, G; Anthony, R M; van Helden, P D; Victor, T C; Warren, R M (2012). Mycobacterium tuberculosis population structure determines the outcome of genetics-based second-line drug resistance testing. Antimicrobial Agents and Chemotherapy, 56(5):2420-2427.

Abstract

The global emergence of multidrug-resistant tuberculosis has highlighted the need for the development of rapid tests to identify resistance to second-line antituberculosis drugs. Resistance to fluoroquinolones and aminoglycosides develops through nonsynonymous single nucleotide polymorphisms in the gyrA and gyrB genes and the rrs gene, respectively. Using DNA sequencing as the gold standard for the detection of mutations conferring resistance, in conjunction with spoligotyping, we demonstrated heteroresistance in 25% and 16.3% of Mycobacterium tuberculosis isolates resistant to ofloxacin and amikacin, respectively. Characterization of follow-up isolates from the same patients showed that the population structure of clones may change during treatment, suggesting different phases in the emergence of resistance. The presence of underlying mutant clones was identified in isolates which failed to show a correlation between phenotypic resistance and mutation in the gyrA or rrs gene. These clones harbored previously described mutations in either the gyrA or rrs gene, suggesting that rare mutations conferring resistance to ofloxacin or amikacin may not be as important as was previously thought. We concluded that the absence of a correlation between genotypic and phenotypic resistance implies an early phase in the emergence of resistance within the patient. Thus, the diagnostic utility of genetics-based drug susceptibility tests will depend on the proportion of patients whose bacilli are in the process of acquiring resistance in the study setting. These data have implications for the interpretation of molecular and microbiological diagnostic tests for patients with drug-susceptible and drug-resistant tuberculosis who fail to respond to treatment and for those with discordant results.

Abstract

The global emergence of multidrug-resistant tuberculosis has highlighted the need for the development of rapid tests to identify resistance to second-line antituberculosis drugs. Resistance to fluoroquinolones and aminoglycosides develops through nonsynonymous single nucleotide polymorphisms in the gyrA and gyrB genes and the rrs gene, respectively. Using DNA sequencing as the gold standard for the detection of mutations conferring resistance, in conjunction with spoligotyping, we demonstrated heteroresistance in 25% and 16.3% of Mycobacterium tuberculosis isolates resistant to ofloxacin and amikacin, respectively. Characterization of follow-up isolates from the same patients showed that the population structure of clones may change during treatment, suggesting different phases in the emergence of resistance. The presence of underlying mutant clones was identified in isolates which failed to show a correlation between phenotypic resistance and mutation in the gyrA or rrs gene. These clones harbored previously described mutations in either the gyrA or rrs gene, suggesting that rare mutations conferring resistance to ofloxacin or amikacin may not be as important as was previously thought. We concluded that the absence of a correlation between genotypic and phenotypic resistance implies an early phase in the emergence of resistance within the patient. Thus, the diagnostic utility of genetics-based drug susceptibility tests will depend on the proportion of patients whose bacilli are in the process of acquiring resistance in the study setting. These data have implications for the interpretation of molecular and microbiological diagnostic tests for patients with drug-susceptible and drug-resistant tuberculosis who fail to respond to treatment and for those with discordant results.

Statistics

Citations

Dimensions.ai Metrics
41 citations in Web of Science®
47 citations in Scopus®
Google Scholar™

Altmetrics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Medical Microbiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Pharmacology
Health Sciences > Pharmacology (medical)
Health Sciences > Infectious Diseases
Language:English
Date:2012
Deposited On:25 Oct 2012 14:47
Last Modified:23 Jan 2022 22:36
Publisher:American Society for Microbiology (ASM)
ISSN:0066-4804
OA Status:Closed
Publisher DOI:https://doi.org/10.1128/AAC.05905-11
PubMed ID:22330913
Full text not available from this repository.