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Diabetes is associated with genotypically drug-resistant tuberculosis

Authors :
Cesar Ugarte-Gil
Prayudi Santoso
Jakko van Ingen
Rovina Ruslami
Hazel M. Dockrell
Reinout van Crevel
Philip C. Hill
Julia A Critchley
Martijn A. Huynen
Bachti Alisjahbana
Lidya Chaidir
David Moore
Carolien Ruesen
Source :
European Respiratory Journal, 55, 3, European Respiratory Journal, 55
Publication Year :
2020

Abstract

Diabetes is associated with failure of tuberculosis (TB) treatment, but it is unclear whether this is related to genotypic drug resistance of the infecting mycobacteria. We used whole genome sequencing (WGS) to examine 1365 known drug resistance mutations in 896 Mycobacterium tuberculosis isolates from TB patients that were screened for diabetes using HbA1c testing as part of the TANDEM project [1]. Ethical approval was received from the London School of Hygiene and Tropical Medicine and institutional review boards in Indonesia and Peru. In Peru we selected all available M. tuberculosis isolates from TANDEM patients (44 with and 445 without diabetes), and in Indonesia we selected all available isolates from diabetic patients (n=115) plus a subset of isolates from non-diabetic patients (n=292) from the same clinics, during the same time period, frequency-matched by age. We used TB Profiler version 0.3.8 [2] to determine M. tuberculosis lineage and drug resistance. A phylogeny was constructed using PhyML version 3.0 [3], and the minimum pairwise distance for isolates was calculated separately for patients with and without diabetes, stratified by country. We examined if diabetes was associated with genotypic drug resistance against individual drugs or with MDR-TB for the two countries separately and combined, with multilevel multivariable logistic regression, taking into account the country of origin and adjusting for age, gender, HIV-infection, previous TB treatment, and M. tuberculosis lineage

Details

ISSN :
09031936 and 13993003
Volume :
55
Database :
OpenAIRE
Journal :
European Respiratory Journal
Accession number :
edsair.doi.dedup.....d36ef89d1d215f1f73b4b430169a4a84