e-Article
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing
Document Type
article
Author
Allix-Béguec, Caroline; Arandjelovic, Irena; Bi, Lijun; Beckert, Patrick; Bonnet, Maryline; Bradley, Phelim; Cabibbe, Andrea M; Cancino-Muñoz, Irving; Caulfield, Mark J; Chaiprasert, Angkana; Cirillo, Daniela; Clifton, David; Comas, Iñaki; Crook, Derrick W; De Filippo, Maria Rosaria; de Neeling, Han; Diel, Roland; Drobniewski, Francis A; Faksri, Kiatichai; Farhat, Maha R; Fleming, Joy; Fowler, Philip; Fowler, Tom A; Gao, Qian; Gardy, Jennifer; Gascoyne-Binzi, Deborah; Cruz, Ana Gibertoni; Gil-Brusola, Ana; Golubchik, Tanya; Gonzalo, Ximena; Grandjean, Louis; He, Guangxue; Guthrie, Jennifer L; Hoosdally, Sarah; Hunt, Martin; Iqbal, Zamin; Ismail, Nazir; Johnston, James; Khanzada, Faisal Masood; Khor, Chiea Chuen; Kohl, Thomas A; Kong, Clare; Lipworth, Sam; Liu, Qingyun; Maphalala, Gugu; Martinez, Elena; Mathys, Vanessa; Merker, Matthias; Miotto, Paolo; Mistry, Nerges; Moore, David; Murray, Megan; Niemann, Stefan; Ong, Rick Twee-Hee; Peto, Tim EA; Posey, James E; Prammananan, Therdsak; Pym, Alexander; Rodrigues, Camilla; Rodrigues, Mabel; Rodwell, Timothy; Rossolini, Gian Maria; Padilla, Elisabeth Sánchez; Schito, Marco; Shen, Xin; Shendure, Jay; Sintchenko, Vitali; Sloutsky, Alex; Smith, E Grace; Snyder, Matthew; Soetaert, Karine; Starks, Angela M; Supply, Philip; Suriyapol, Prapat; Tahseen, Sabira; Tang, Patrick; Teo, Yik-Ying; Thuong, Thuong Nguyen Thuy; Thwaites, Guy; Tortoli, Enrico; Omar, Shaheed Vally; van Soolingen, Dick; Walker, A Sarah; Walker, Timothy M; Wilcox, Mark; Wilson, Daniel J; Wyllie, David; Yang, Yang; Zhang, Hongtai; Zhao, Yanlin; Zhu, Baoli
Source
New England Journal of Medicine. 379(15)
Subject
Language
Abstract
BackgroundThe World Health Organization recommends drug-susceptibility testing of Mycobacterium tuberculosis complex for all patients with tuberculosis to guide treatment decisions and improve outcomes. Whether DNA sequencing can be used to accurately predict profiles of susceptibility to first-line antituberculosis drugs has not been clear.MethodsWe obtained whole-genome sequences and associated phenotypes of resistance or susceptibility to the first-line antituberculosis drugs isoniazid, rifampin, ethambutol, and pyrazinamide for isolates from 16 countries across six continents. For each isolate, mutations associated with drug resistance and drug susceptibility were identified across nine genes, and individual phenotypes were predicted unless mutations of unknown association were also present. To identify how whole-genome sequencing might direct first-line drug therapy, complete susceptibility profiles were predicted. These profiles were predicted to be susceptible to all four drugs (i.e., pansusceptible) if they were predicted to be susceptible to isoniazid and to the other drugs or if they contained mutations of unknown association in genes that affect susceptibility to the other drugs. We simulated the way in which the negative predictive value changed with the prevalence of drug resistance.ResultsA total of 10,209 isolates were analyzed. The largest proportion of phenotypes was predicted for rifampin (9660 [95.4%] of 10,130) and the smallest was predicted for ethambutol (8794 [89.8%] of 9794). Resistance to isoniazid, rifampin, ethambutol, and pyrazinamide was correctly predicted with 97.1%, 97.5%, 94.6%, and 91.3% sensitivity, respectively, and susceptibility to these drugs was correctly predicted with 99.0%, 98.8%, 93.6%, and 96.8% specificity. Of the 7516 isolates with complete phenotypic drug-susceptibility profiles, 5865 (78.0%) had complete genotypic predictions, among which 5250 profiles (89.5%) were correctly predicted. Among the 4037 phenotypic profiles that were predicted to be pansusceptible, 3952 (97.9%) were correctly predicted.ConclusionsGenotypic predictions of the susceptibility of M. tuberculosis to first-line drugs were found to be correlated with phenotypic susceptibility to these drugs. (Funded by the Bill and Melinda Gates Foundation and others.).