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A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis.
Miotto, Paolo; Tessema, Belay; Tagliani, Elisa; Chindelevitch, Leonid; Starks, Angela M; Emerson, Claudia; Hanna, Debra; Kim, Peter S; Liwski, Richard; Zignol, Matteo; Gilpin, Christopher; Niemann, Stefan; Denkinger, Claudia M; Fleming, Joy; Warren, Robin M; Crook, Derrick; Posey, James; Gagneux, Sebastien; Hoffner, Sven; Rodrigues, Camilla; Comas, Iñaki; Engelthaler, David M; Murray, Megan; Alland, David; Rigouts, Leen; Lange, Christoph; Dheda, Keertan; Hasan, Rumina; Ranganathan, Uma Devi K; McNerney, Ruth; Ezewudo, Matthew; Cirillo, Daniela M; Schito, Marco; Köser, Claudio U; Rodwell, Timothy C.
Afiliação
  • Miotto P; Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy miotto.paolo@hsr.it.
  • Tessema B; Department of Medical Microbiology, University of Gondar, Gondar, Ethiopia.
  • Tagliani E; Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Chindelevitch L; School of Computing Science, Simon Fraser University, Burnaby, BC, Canada.
  • Starks AM; Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Emerson C; Institute on Ethics & Policy for Innovation, Department of Philosophy, McMaster University, Hamilton, ON, Canada.
  • Hanna D; Critical Path Institute, Tucson, AZ, USA.
  • Kim PS; Office of AIDS Research, National Institutes of Health, Rockville, MD, USA.
  • Liwski R; Critical Path Institute, Tucson, AZ, USA.
  • Zignol M; Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
  • Gilpin C; Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
  • Niemann S; Molecular and Experimental Mycobacteriology, Priority Area Infections, Research Center Borstel, Borstel, Germany.
  • Denkinger CM; German Center for Infection Research, Borstel, Germany.
  • Fleming J; Foundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.
  • Warren RM; Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
  • Crook D; DST/NRF Centre of Excellence for Biomedical Tuberculosis Research/SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
  • Posey J; Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK.
  • Gagneux S; National Infection Service, Public Health England, London, UK.
  • Hoffner S; Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Rodrigues C; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Comas I; University of Basel, Basel, Switzerland.
  • Engelthaler DM; Microbiology, Tumour and Cell Biology, Karolinska Institute, Stockholm, Sweden.
  • Murray M; Public Health Agency of Sweden, Solna, Sweden.
  • Alland D; Hinduja Hospital, Veer Savarkar Marg, Mumbai, India.
  • Rigouts L; Tuberculosis Genomics Unit, Biomedicine Institute of Valencia (IBV-CSIC), Valencia, Spain.
  • Lange C; Foundation for the Promotion of Health and Biomedical Research in the Valencian Community (FISABIO), Valencia, Spain.
  • Dheda K; CIBER (Centros de Investigación Biomédica en Red) in Epidemiology and Public Health, Madrid, Spain.
  • Hasan R; Translational Genomics Research Institute, Flagstaff, AZ, USA.
  • Ranganathan UDK; Harvard School of Public Health, Department of Epidemiology, Boston, MA, USA.
  • McNerney R; Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, NJ, USA.
  • Ezewudo M; Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Cirillo DM; Division of Clinical Infectious Diseases and German Center for Infection Research Tuberculosis Unit, Research Center Borstel, Borstel, Germany.
  • Schito M; International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany.
  • Köser CU; Department of Medicine, Karolinska Institute, Stockholm, Sweden.
  • Rodwell TC; Department of Internal Medicine, University of Namibia School of Medicine, Windhoek, Namibia.
Eur Respir J ; 50(6)2017 12.
Article em En | MEDLINE | ID: mdl-29284687
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Tuberculose Resistente a Múltiplos Medicamentos / Farmacorresistência Bacteriana Múltipla / Mycobacterium tuberculosis / Antituberculosos Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Eur Respir J Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Tuberculose Resistente a Múltiplos Medicamentos / Farmacorresistência Bacteriana Múltipla / Mycobacterium tuberculosis / Antituberculosos Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Eur Respir J Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália