Publication Details

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medicine

Genetic diversity of Mycobacterium tuberculosis isolates from a tertiary care tuberculosis hospital in south Korea

Journal of Clinical Microbiology, Volume 48, No. 2, Year 2010

Tuberculosis (TB) remains an immense public health problem in the Republic of Korea despite a more than fivefold decrease in the prevalence of the disease over the last 3 decades. The rise in drug-resistant TB has compounded the situation. We analyzed 208 clinical isolates of M. tuberculosis from the National Masan Tuberculosis Hospital by spoligotyping, IS6110 restriction fragment length polymorphism (RFLP), and 24-locus-based mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing to assess the diversity and transmission dynamics of the tubercle bacilli in the Republic of Korea. The majority of the isolates (97.1%) belonged to the Beijing genotype. Cluster analysis by MIRU-VNTR yielded a low clustering rate of 22.3%, with most of the clusters comprising isolates with diverse drug resistance patterns. The discriminatory capacity of the typing methods was high for RFLP and MIRU-VNTR (allelic diversity [h] = 0.99) but low for spoligotyping (h = 0.31). Although analysis of 19 MIRU-VNTR loci was needed to achieve maximum discrimination, an informative set of 8 loci (960, 1955, 2163b, 2165, 2996, 3192, 4052, and 4348) (h = 0.98) that was able to differentiate most of the closely related strains was identified. These findings suggest that 24-locus-based MIRU-VNTR typing is a likely suitable alternative to RFLP to differentiate clinical isolates in this setting, which is dominated by M. tuberculosis Beijing strains. Within the study limits, our results also suggest that the problem of drug-resistant TB in the Republic of Korea may be largely due to acquired resistance as opposed to transmission. Copyright © 2010, American Society for Microbiology. All Rights Reserved.
Statistics
Citations: 72
Authors: 14
Affiliations: 6
Identifiers
Research Areas
Genetics And Genomics
Health System And Policy
Infectious Diseases
Study Design
Cross Sectional Study