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MGIT-seq for the Identification of Nontuberculous Mycobacteria and Drug Resistance: a Prospective Study

Kiyoharu Fukushima, Yuki Matsumoto, Takanori Matsuki, Haruko Saito, Daisuke Motooka, Sho Komukai, Eriko Fukui, June Yamuchi, Tadayoshi Nitta, Takayuki Niitsu, Yuko Abe, Hiroshi Nabeshima, Yasuharu Nagahama, Takuro Nii, Kazuyuki Tsujino, Keisuke Miki, Seigo Kitada, Atsushi Kumanogoh, Shizuo Akira, Shota Nakamura, Hiroshi Kida

2023Journal of Clinical Microbiology13 citationsDOIOpen Access PDF

Abstract

(41). The results were compared to clinical tests for species identification and drug susceptibility. A total of 116 patients with positive MGIT cultures were included in the analysis. MGIT-seq yielded 99.1% accuracy in species-level identification and identified 98 isolates (84.5%) at the subspecies level. Macrolide and AMK resistance were detected in 19.4% and 1.9% of Mycobacterium avium complex (MAC) and Mycobacterium abscessus isolates. The predicted macrolide and AMK resistance was consistent with the results of conventional drug susceptibility tests, with specificities of 97.6% and 100.0%, respectively. Direct MGIT-seq has achieved comprehensive identification and drug resistance detection of nontuberculous mycobacteria, which could be applicable to determine the treatment strategy by a single test in clinical practice.

Topics & Concepts

Nontuberculous mycobacteriaMycobacterium abscessusDrug resistanceMicrobiologyMultilocus sequence typingAmikacinBiologyMinionMycobacteriumMedicineAntibioticsTuberculosisDNA sequencingGeneticsGenotypePathologyNanopore sequencingGeneDNAMycobacterium research and diagnosisTuberculosis Research and EpidemiologyInfectious Diseases and Mycology
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