MGIT-seq for the Identification of Nontuberculous Mycobacteria and Drug Resistance: a Prospective Study (Nakamura Lab, in J. Clin. Microbiol.)

Because nontuberculous mycobacterial pulmonary disease is a considerable health burden, a simple and clinically applicable analytical protocol enabling the identification of subspecies and drug-resistant disease is required to determine the treatment strategy. We aimed to develop a simplified workflow consisting only of direct sequencing of mycobacterial growth indicator tube cultures (MGIT-seq). In total, 138 patients were prospectively enrolled between April 2021 and May 2022, and culture-positive MGIT broths were subjected to sequencing using MinION, a portable next-generation sequencer. Sequence analysis was conducted to identify species using core genome multilocus sequence typing and to predict macrolide and amikacin (AMK) resistance based on previously reported mutations in rrl, rrs, and erm(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.

This article was published in Jounal of Clinical Microbiology, on March 22, 2023.

Title: “MGIT-seq for the Identification of Nontuberculous Mycobacteria and Drug Resistance: A prospective study”

Authors: 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 Kumanogohb, Shizuo Akira, Shota Nakamura, and Hiroshi Kida