edoc

Whole-genome sequencing for drug resistance profile prediction in Mycobacterium tuberculosis

Gygli, Sebastian M. and Keller, Peter M. and Ballif, Marie and Blöchliger, Nicolas and Hömke, Rico and Reinhard, Miriam and Loiseau, Chloé and Ritter, Claudia and Sander, Peter and Borrell, Sonia and Collantes Loo, Jimena and Avihingsanon, Anchalee and Gnokoro, Joachim and Yotebieng, Marcel and Egger, Matthias and Gagneux, Sebastien and Böttger, Erik C.. (2019) Whole-genome sequencing for drug resistance profile prediction in Mycobacterium tuberculosis. Antimicrobial agents and chemotherapy, 63 (4). e02175-18.

[img] PDF - Published Version
Available under License CC BY (Attribution).

1873Kb

Official URL: https://edoc.unibas.ch/70264/

Downloads: Statistics Overview

Abstract

Whole-genome sequencing allows rapid detection of drug-resistant; Mycobacterium tuberculosis; isolates. However, the availability of high-quality data linking quantitative phenotypic drug susceptibility testing (DST) and genomic data have thus far been limited. We determined drug resistance profiles of 176 genetically diverse clinical; M. tuberculosis; isolates from the Democratic Republic of the Congo, Ivory Coast, Peru, Thailand, and Switzerland by quantitative phenotypic DST for 11 antituberculous drugs using the BD Bactec MGIT 960 system and 7H10 agar dilution to generate a cross-validated phenotypic DST readout. We compared DST results with predicted drug resistance profiles inferred by whole-genome sequencing. Classification of strains by the two phenotypic DST methods into resistotype/wild-type populations was concordant in 73 to 99% of cases, depending on the drug. Our data suggest that the established critical concentration (5 mg/liter) for ethambutol resistance (MGIT 960 system) is too high and misclassifies strains as susceptible, unlike 7H10 agar dilution. Increased minimal inhibitory concentrations were explained by mutations identified by whole-genome sequencing. Using whole-genome sequences, we were able to predict quantitative drug resistance levels for the majority of drug resistance mutations. Predicting quantitative levels of drug resistance by whole-genome sequencing was partially limited due to incompletely understood drug resistance mechanisms. The overall sensitivity and specificity of whole-genome-based DST were 86.8% and 94.5%, respectively. Despite some limitations, whole-genome sequencing has the potential to infer resistance profiles without the need for time-consuming phenotypic methods.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medical Parasitology and Infection Biology (MPI) > Tuberculosis Research (Gagneux)
UniBasel Contributors:Gygli, Sebastian and Reinhard, Miriam and Loiseau, Chloé Marie and Borrell Farnov, Sonia and Gagneux, Sebastien
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Society for Microbiology
ISSN:0066-4804
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:23 Apr 2019 09:33
Deposited On:23 Apr 2019 09:33

Repository Staff Only: item control page