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Whole-Genome Sequence-Based Characterization of Pre-XDR M. tuberculosis Clinical Isolates Collected in Kazakhstan.

  • Department of General Biology and Genomics
  • L.N. Gumilyov Eurasian National University
  • National Scientific Center of Phthisiopulmonology of the Republic of Kazakhstan
  • Center for Life Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Kazakhstan has a high burden of multidrug-resistant tuberculosis in the Central Asian region. This study aimed to perform genomic characterization of Mycobacterium tuberculosis strains obtained from Kazakhstani patients with pre-extensively drug-resistant tuberculosis diagnosed in Kazakhstan.

METHODS: Whole-genome sequencing was performed on 10 pre-extensively drug-resistant M. tuberculosis strains from different regions of Kazakhstan. All strains had high-confidence resistance mutations according to the resistance grading system previously established by the World Health Organization. The genome analysis was performed using TB-Profiler, Mykrobe, CASTB, and ResFinder.

RESULTS: Valuable information for understanding the genetic diversity of tuberculosis in Kazakhstan can also be obtained from whole-genome sequencing. The results from the Phenotypic Drug Susceptibility Testing (DST) of bacterial strains were found to be consistent with the drug resistance information obtained from genomic data that characterized all isolates as pre-XDR. This information can help in developing targeted prevention and control strategies based on the local epidemiology of tuberculosis. Furthermore, the data obtained from whole-genome sequencing can help in tracing the transmission pathways of tuberculosis and facilitating early detection of outbreaks.

CONCLUSIONS: The results from whole-genome sequencing of tuberculosis clinical samples in Kazakhstan provide important insights into the drug resistance patterns and genetic diversity of tuberculosis in the country. These results can contribute to the improvement of tuberculosis control and management programs in Kazakhstan.

Original languageEnglish
Article number2005
JournalDiagnostics
Volume13
Issue number12
DOIs
Publication statusPublished - Jun 8 2023

Funding

This research was funded by a grant from the Ministry of Education and Science of the Republic of Kazakhstan AP09259750 and Nazarbayev University under Collaborative Research Program Grant No11022021CRP1511.

FundersFunder number
Ministry of Education and Science of the Republic of KazakhstanAP09259750
Nazarbayev University

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Mycobacterium tuberculosis
    • bioinformatics analysis
    • next-generation sequencing
    • pre-extensively drug-resistant
    • tuberculosis

    ASJC Scopus subject areas

    • Clinical Biochemistry

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