TY - JOUR
T1 - Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries
T2 - a multi-country population-based surveillance study
AU - Zignol, Matteo
AU - Cabibbe, Andrea Maurizio
AU - Dean, Anna S.
AU - Glaziou, Philippe
AU - Alikhanova, Natavan
AU - Ama, Cecilia
AU - Andres, Sönke
AU - Barbova, Anna
AU - Borbe-Reyes, Angeli
AU - Chin, Daniel P.
AU - Cirillo, Daniela Maria
AU - Colvin, Charlotte
AU - Dadu, Andrei
AU - Dreyer, Andries
AU - Driesen, Michèle
AU - Gilpin, Christopher
AU - Hasan, Rumina
AU - Hasan, Zahra
AU - Hoffner, Sven
AU - Hussain, Alamdar
AU - Ismail, Nazir
AU - Kamal, S. M.Mostofa
AU - Khanzada, Faisal Masood
AU - Kimerling, Michael
AU - Kohl, Thomas Andreas
AU - Mansjö, Mikael
AU - Miotto, Paolo
AU - Mukadi, Ya Diul
AU - Mvusi, Lindiwe
AU - Niemann, Stefan
AU - Omar, Shaheed V.
AU - Rigouts, Leen
AU - Schito, Marco
AU - Sela, Ivita
AU - Seyfaddinova, Mehriban
AU - Skenders, Girts
AU - Skrahina, Alena
AU - Tahseen, Sabira
AU - Wells, William A.
AU - Zhurilo, Alexander
AU - Weyer, Karin
AU - Floyd, Katherine
AU - Raviglione, Mario C.
N1 - Publisher Copyright:
© 2018 World Health Organization
PY - 2018/6
Y1 - 2018/6
N2 - Background: In many countries, regular monitoring of the emergence of resistance to anti-tuberculosis drugs is hampered by the limitations of phenotypic testing for drug susceptibility. We therefore evaluated the use of genetic sequencing for surveillance of drug resistance in tuberculosis. Methods: Population-level surveys were done in hospitals and clinics in seven countries (Azerbaijan, Bangladesh, Belarus, Pakistan, Philippines, South Africa, and Ukraine) to evaluate the use of genetic sequencing to estimate the resistance of Mycobacterium tuberculosis isolates to rifampicin, isoniazid, ofloxacin, moxifloxacin, pyrazinamide, kanamycin, amikacin, and capreomycin. For each drug, we assessed the accuracy of genetic sequencing by a comparison of the adjusted prevalence of resistance, measured by genetic sequencing, with the true prevalence of resistance, determined by phenotypic testing. Findings: Isolates were taken from 7094 patients with tuberculosis who were enrolled in the study between November, 2009, and May, 2014. In all tuberculosis cases, the overall pooled sensitivity values for predicting resistance by genetic sequencing were 91% (95% CI 87–94) for rpoB (rifampicin resistance), 86% (74–93) for katG, inhA, and fabG promoter combined (isoniazid resistance), 54% (39–68) for pncA (pyrazinamide resistance), 85% (77–91) for gyrA and gyrB combined (ofloxacin resistance), and 88% (81–92) for gyrA and gyrB combined (moxifloxacin resistance). For nearly all drugs and in most settings, there was a large overlap in the estimated prevalence of drug resistance by genetic sequencing and the estimated prevalence by phenotypic testing. Interpretation: Genetic sequencing can be a valuable tool for surveillance of drug resistance, providing new opportunities to monitor drug resistance in tuberculosis in resource-poor countries. Before its widespread adoption for surveillance purposes, there is a need to standardise DNA extraction methods, recording and reporting nomenclature, and data interpretation. Funding: Bill & Melinda Gates Foundation, United States Agency for International Development, Global Alliance for Tuberculosis Drug Development.
AB - Background: In many countries, regular monitoring of the emergence of resistance to anti-tuberculosis drugs is hampered by the limitations of phenotypic testing for drug susceptibility. We therefore evaluated the use of genetic sequencing for surveillance of drug resistance in tuberculosis. Methods: Population-level surveys were done in hospitals and clinics in seven countries (Azerbaijan, Bangladesh, Belarus, Pakistan, Philippines, South Africa, and Ukraine) to evaluate the use of genetic sequencing to estimate the resistance of Mycobacterium tuberculosis isolates to rifampicin, isoniazid, ofloxacin, moxifloxacin, pyrazinamide, kanamycin, amikacin, and capreomycin. For each drug, we assessed the accuracy of genetic sequencing by a comparison of the adjusted prevalence of resistance, measured by genetic sequencing, with the true prevalence of resistance, determined by phenotypic testing. Findings: Isolates were taken from 7094 patients with tuberculosis who were enrolled in the study between November, 2009, and May, 2014. In all tuberculosis cases, the overall pooled sensitivity values for predicting resistance by genetic sequencing were 91% (95% CI 87–94) for rpoB (rifampicin resistance), 86% (74–93) for katG, inhA, and fabG promoter combined (isoniazid resistance), 54% (39–68) for pncA (pyrazinamide resistance), 85% (77–91) for gyrA and gyrB combined (ofloxacin resistance), and 88% (81–92) for gyrA and gyrB combined (moxifloxacin resistance). For nearly all drugs and in most settings, there was a large overlap in the estimated prevalence of drug resistance by genetic sequencing and the estimated prevalence by phenotypic testing. Interpretation: Genetic sequencing can be a valuable tool for surveillance of drug resistance, providing new opportunities to monitor drug resistance in tuberculosis in resource-poor countries. Before its widespread adoption for surveillance purposes, there is a need to standardise DNA extraction methods, recording and reporting nomenclature, and data interpretation. Funding: Bill & Melinda Gates Foundation, United States Agency for International Development, Global Alliance for Tuberculosis Drug Development.
UR - http://www.scopus.com/inward/record.url?scp=85044251701&partnerID=8YFLogxK
U2 - 10.1016/S1473-3099(18)30073-2
DO - 10.1016/S1473-3099(18)30073-2
M3 - Article
C2 - 29574065
AN - SCOPUS:85044251701
SN - 1473-3099
VL - 18
SP - 675
EP - 683
JO - The Lancet Infectious Diseases
JF - The Lancet Infectious Diseases
IS - 6
ER -