Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study

dc.contributor.authorZignol, Matteo
dc.contributor.authorCabibbe, Andrea Maurizio
dc.contributor.authorDean, Anna S.
dc.contributor.authorGlaziou, Philippe
dc.contributor.authorAlikhanova, Natavan
dc.contributor.authorAma, Cecilia
dc.contributor.authorAndres, Sonke
dc.contributor.authorBarbova, Anna
dc.contributor.authorBorbe-Reyes, Angeli
dc.contributor.authorChin, Daniel P.
dc.contributor.authorCirillo, Daniela Maria
dc.contributor.authorColvin, Charlotte
dc.contributor.authorDadu, Andrei
dc.contributor.authorDreyer, Andries
dc.contributor.authorDriesen, Michele
dc.contributor.authorGilpin, Christopher
dc.contributor.authorHasan, Rumina
dc.contributor.authorHasan, Zahra
dc.contributor.authorHoffner, Sven
dc.contributor.authorHussain, Alamdar
dc.contributor.authorIsmail, Nazir Ahmed
dc.contributor.authorKamal, S.M. Mostofa
dc.contributor.authorKhanzada, Faisal Masood
dc.contributor.authorKimerling, Michael
dc.contributor.authorKohl, Thomas Andreas
dc.contributor.authorMansjo, Mikael
dc.contributor.authorMiotto, Paolo
dc.contributor.authorMukadi, Ya Diul
dc.contributor.authorMvusi, Lindiwe
dc.contributor.authorNiemann, Stefan
dc.contributor.authorOmar, Shaheed Vally
dc.contributor.authorRigouts, Leen
dc.contributor.authorSchito, Marco
dc.contributor.authorSela, Ivita
dc.contributor.authorSeyfaddinova, Mehriban
dc.contributor.authorSkenders, Girts
dc.contributor.authorSkrahina, Alena
dc.contributor.authorTahseen, Sabira
dc.contributor.authorWells, William A.
dc.contributor.authorZhurilo, Alexander
dc.contributor.authorWeyer, Karin
dc.contributor.authorFloyd, Katherine
dc.contributor.authorRaviglione, Mario C.
dc.date.accessioned2018-06-01T08:43:10Z
dc.date.available2018-06-01T08:43:10Z
dc.date.issued2018-06
dc.description.abstractBACKGROUND : 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.en_ZA
dc.description.departmentMedical Microbiologyen_ZA
dc.description.librarianam2018en_ZA
dc.description.sponsorshipThe Bill & Melinda Gates Foundation, the United States Agency for International Development, and the TB Alliance.en_ZA
dc.description.uriwww.thelancet.com/infectionen_ZA
dc.description.urihttp://www.thelancet.com/infectionen_ZA
dc.identifier.citationZignol, M., Cabibbe, A.M., Dean, A.S. et al. 2018, 'Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study', Lancet Infectious Diseases, vol. 18, pp. 675-683.en_ZA
dc.identifier.issn1473-3099 (print)
dc.identifier.issn1474-4457 (online)
dc.identifier.other10.1016/S1473-3099(18)30073-2
dc.identifier.urihttp://hdl.handle.net/2263/65067
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 World Health Organization; licensee Elsevier. This is an Open Access article published under the CC BY 3.0 IGO license.en_ZA
dc.subjectAnti-tuberculosis drugsen_ZA
dc.subjectDrug resistanceen_ZA
dc.subjectPatientsen_ZA
dc.subjectGenetic sequencingen_ZA
dc.subjectTuberculosis (TB)en_ZA
dc.titleGenetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance studyen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Zignol_Genetic_2018.pdf
Size:
675.21 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: