An investigation on the population structure of mixed infections of Mycobacterium tuberculosis in Inner Mongolia, China. Issue 6 (December 2015)

• Record Type: Journal Article
• Authors: Wang, Xiaoying; Liu, Haican; Wei, Jianhao; Wu, Xiaocui; Yu, Qin; Zhao, Xiuqin; Lyu, Jianxin; Lou, Yongliang; Wan, Kanglin
• Is Part Of: Tuberculosis. Volume 95:Issue 6(2015)
• Page Start: 695
• Page End: 700
• Publication Date: 2015-12
• Subjects: Mycobacterium tuberculosis -- Mix infection -- Inner Mongolia; 616.995
• DOI: 10.1016/j.tube.2015.08.006
• Languages: English
• ISSNs: 1472-9792

Abstract

Summary: Objectives: Mixed infections of Mycobacterium tuberculosis strains have attracted more attention due to their increasing frequencies worldwide, especially in the areas of high tuberculosis (TB) prevalence. In this study, we accessed the rates of mixed infections in a setting with high TB prevalence in Inner Mongolia Autonomous Region of China. Methods: A total of 384 M. tuberculosis isolates from the local TB hospital were subjected to mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing method. The single clones of the strains with mixed infections were separated by subculturing them on the Löwenstein–Jensen medium. Results: Of these 384 isolates, twelve strains (3.13%) were identified as mixed infections by MIRU-VNTR. Statistical analysis indicated that demographic characteristics and drug susceptibility profiles showed no statistically significant association with the mixed infections. We further subcultured the mixed infection strains and selected 30 clones from the subculture for each mixed infection. Genotyping data revealed that eight (8/12, 66.7%) strains with mixed infections had converted into single infection through subculture. The higher growth rate was associated with the increasing proportion of variant subpopulation through subculture. Conclusions: In conclusion, by using the MIRU-VNTR method, we demonstrate that the prevalence of mixed infections in Inner Mongolia is low. Additionally, our findings reveal that the subculture changes the population structures of mixed infections, and the subpopulation with higher growth rate show better fitness, which is associated with high proportion among the population structure after subculture. This study highlights that the use of clinical specimens, rather than subcultured isolates, is preferred to estimate the prevalence of mixed infections in the specific regions.