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A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis .

Authors :
Miotto P
Tessema B
Tagliani E
Chindelevitch L
Starks AM
Emerson C
Hanna D
Kim PS
Liwski R
Zignol M
Gilpin C
Niemann S
Denkinger CM
Fleming J
Warren RM
Crook D
Posey J
Gagneux S
Hoffner S
Rodrigues C
Comas I
Engelthaler DM
Murray M
Alland D
Rigouts L
Lange C
Dheda K
Hasan R
Ranganathan UDK
McNerney R
Ezewudo M
Cirillo DM
Schito M
Köser CU
Rodwell TC
Source :
The European respiratory journal [Eur Respir J] 2017 Dec 28; Vol. 50 (6). Date of Electronic Publication: 2017 Dec 28 (Print Publication: 2017).
Publication Year :
2017

Abstract

A clear understanding of the genetic basis of antibiotic resistance in Mycobacterium tuberculosis is required to accelerate the development of rapid drug susceptibility testing methods based on genetic sequence.Raw genotype-phenotype correlation data were extracted as part of a comprehensive systematic review to develop a standardised analytical approach for interpreting resistance associated mutations for rifampicin, isoniazid, ofloxacin/levofloxacin, moxifloxacin, amikacin, kanamycin, capreomycin, streptomycin, ethionamide/prothionamide and pyrazinamide. Mutation frequencies in resistant and susceptible isolates were calculated, together with novel statistical measures to classify mutations as high, moderate, minimal or indeterminate confidence for predicting resistance.We identified 286 confidence-graded mutations associated with resistance. Compared to phenotypic methods, sensitivity (95% CI) for rifampicin was 90.3% (89.6-90.9%), while for isoniazid it was 78.2% (77.4-79.0%) and their specificities were 96.3% (95.7-96.8%) and 94.4% (93.1-95.5%), respectively. For second-line drugs, sensitivity varied from 67.4% (64.1-70.6%) for capreomycin to 88.2% (85.1-90.9%) for moxifloxacin, with specificity ranging from 90.0% (87.1-92.5%) for moxifloxacin to 99.5% (99.0-99.8%) for amikacin.This study provides a standardised and comprehensive approach for the interpretation of mutations as predictors of M. tuberculosis drug-resistant phenotypes. These data have implications for the clinical interpretation of molecular diagnostics and next-generation sequencing as well as efficient individualised therapy for patients with drug-resistant tuberculosis.<br />Competing Interests: Conflict of interest: Disclosures can be found alongside this article at erj.ersjournals.com<br /> (Copyright ©ERS 2017.)

Details

Language :
English
ISSN :
1399-3003
Volume :
50
Issue :
6
Database :
MEDLINE
Journal :
The European respiratory journal
Publication Type :
Academic Journal
Accession number :
29284687
Full Text :
https://doi.org/10.1183/13993003.01354-2017