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Curr Microbiol ; 78(6): 2324-2331, 2021 Jun.
Article in English | MEDLINE | ID: mdl-33847796

ABSTRACT

Mycobacterium simiae is an emerging nontuberculous mycobacterium (NTM) and an opportunistic pathogen which is described mainly in Asia and presents in the environment that can cause pulmonary infection. The objective of this study is to characterize M. simiae clinical isolates using mycobacterial interspersed repetitive unit variable-number tandem repeats (MIRU-VNTR) typing for the differentiation of the strains. A total of 169 clinical isolates of NTM were recovered from patients suspected of having tuberculosis (TB)-like and related infections. After isolation and identification of mycobacterial strains by conventional biochemical and PCR-based tests, M. simiae strains were confirmed using restriction fragment length polymorphism (RFLP)-based identification assay. Furthermore, drug susceptibility and MIRU-VNTR typing was performed using on the clinical isolates of M. simiae. Out of 169 NTM strains, 92 (54.4%) isolates were identified as M. simiae. Antibiotic susceptibility experiments indicated that all 92 M. simiae isolates were resistant to first line antimycobacterial agents. Moreover, 8 (8.6%) M. simiae isolates were resistant to ciprofloxacin; and 6 (6.5%) were resistant to both amikacin and kanamycin, while the remaining were susceptible to second line antimycobacterial agents. MIRU-VNTR analysis showed that the M. simiae isolates were classified in four distinct M. simiae clusters and two single types. The minimum spanning analysis revealed that the isolates were grouped in three complexes. The data suggested that MIRI-VNTR typing is useful for typing of M. simiae isolates, however, MIRU-16 locus was absolutely absent in M. simiae.


Subject(s)
Mycobacterium tuberculosis , Pharmaceutical Preparations , Bacterial Typing Techniques , Genotype , Humans , Minisatellite Repeats , Mycobacterium , Mycobacterium tuberculosis/genetics , Nontuberculous Mycobacteria/genetics , Polymorphism, Restriction Fragment Length
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