A molecular epidemiological analysis of tuberculosis trends in South Korea

• Published in: Tuberculosis (Edinburgh, Scotland) Scotland), 2018-07, Vol.111, p.127-134
• Main Authors: Kim, Kyungjong, Yang, Jeong Seong, Choi, Hongjo, Kim, Heejin, Park, Sang-Hee, Jeon, Se-Mi, Lim, Na-Ra, Kim, Chang Ki
• Format: Article
• Language: English
• Subjects: Activation; Adult; Age Distribution; Bacteria; Clustering; DNA, Bacterial - genetics; Epidemiology; Female; Genotype; Genotype & phenotype; Humans; Interspersed Repetitive Sequences; IS6110-RFLP; Korea; Loci; Male; Middle Aged; Minisatellite Repeats; MIRU-VNTR; Molecular Epidemiology; Multivariate analysis; Mycobacterium tuberculosis; Mycobacterium tuberculosis - genetics; Phenotype; Polymorphism; Polymorphism, Restriction Fragment Length; Prevalence; Republic of Korea - epidemiology; Trends; Tuberculosis; Tuberculosis - diagnosis; Tuberculosis - epidemiology; Tuberculosis - microbiology
• ISSN: 1472-9792; 1873-281X
• DOI: 10.1016/j.tube.2018.06.003

Molecular epidemiological data are needed to assess tuberculosis (TB)-management policy outcomes in South Korea. IS6110 restriction fragment-length polymorphism (IS6110-RFLP) and mycobacterial interspersed repetitive unit–variable-number tandem repeat (MIRU–VNTR) analyses are major molecular epidemiological tools for investigating the transmission or reactivation of active TB. Here, we determined trends in the clustering rate (i.e., the prevalence of Mycobacterium tuberculosis isolates with identical genotype patterns) of active TB and related differences between the 1990s and 2000s in Korea. M. tuberculosis isolates (1,007) of nationwide origins were analyzed by IS6110-RFLP and 24-locus standardized MIRU-VNTR genotyping. The clustering rate was measured by IS6110-RFLP, 24-locus MIRU-VNTR, and both analytical methods in combination. IS6110-RFLP, 24-locus MIRU-VNTR typing, and the combined method revealed 882, 754, and 983 distinct profiles; 809, 651, and 961 unique isolates; and 198, 356, and 46 clustered isolates grouped into 73, 103, and 22 clusters, respectively. In addition, we confirmed that the clustering rates in the 2000s decreased by 11.2%, 2.1%, and 3.1% relative to that in the 1990s using the three methods, respectively. Furthermore, in multivariate analysis, the younger-age group (50), based on all the three methods. Our study is the first report to provide nationwide molecular epidemiological information on TB in Korea.