Evaluation of mlstverse system for accurate subspecies identification and drug resistance prediction in <i>Mycobacterium abscessus</i> species.

ABSTRACT: Accurate subspecies identification and drug susceptibility testing (DST) are essential for appropriate clinical management, particularly in patients infected with Mycobacterium abscessus species (MABS). We developed a novel software, mlstverse, which uses multi-locus sequence typing to identify non-tuberculous mycobacteria (NTM) species, demonstrating rapid and accurate diagnostic performance. However, these studies included only a limited number of MABS samples. In this study, we focused on MABS and evaluated the diagnostic accuracy of the system for subspecies identification and drug resistance prediction for clarithromycin (CAM) and amikacin (AMK). A total of 56 clinical isolates, previously identified as MABS by conventional methods, were analyzed. The mlstverse identified two i

SUBMITTER: Arakaki W 

PROVIDER: S-EPMC12403713 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature