Abstract
Accurate differentiation of Mycobacterium tuberculosis complex (MTBC) and nontuberculous mycobacteria (NTM), together with early detection of drug resistance, is essential for guiding therapy and infection control. Targeted next-generation sequencing assays, such as the Deeplex Myc-TB (GenoScreen, Lille, France), allow simultaneous identification of species and detection of drug-resistance mutations. We evaluated Deeplex Myc-TB on 304 primary, culture-positive mycobacterial growth indicator tube (MGIT) broths collected between May 2024 and March 2025. The assay generated determinate results for 273 isolates, comprising 29 MTBC and 244 NTM, with 100% agreement for MTBC identification, and 98.8% for NTM. MTBC identification was performed using GeneXpert MTB/RIF, whereas phenotypic drug susceptibility testing (pDST) was performed using either the Sensititre MYCOTB broth microdilution method, or the MGIT-based panel. Among the 29 unique MTBC isolates, 18 (62.1%) had no detectable drug-resistance mutations (DRMs). Phenotypic drug susceptibility testing confirmed susceptibility to all tested drugs for these 18 isolates, resulting in 100% concordance with Deeplex-predicted susceptibility, and no evidence of heteroresistance. The remaining 11 isolates (37.9%) carried at least one DRM, including seven with canonical resistance-conferring mutations. For isolates with canonical DRMs and available CLSI breakpoints, genotypic calls and pDST were concordant, and one isolate met the criteria for multidrug-resistant tuberculosis. All 244 NTM isolates had prior matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) identification; Deeplex confirmed these identifications and provided subspecies-level resolution within the Mycobacterium avium complex and Mycobacterium abscessus. These findings demonstrate the strong diagnostic potential of Deeplex Myc-TB for high-resolution MTBC resistance profiling and precise NTM species and subspecies identification. Integrating targeted sequencing into routine workflows can improve clinical decision-making, support early treatment optimization, and strengthen molecular surveillance of mycobacterial diseases.
| Original language | English (US) |
|---|---|
| Article number | e00082-26 |
| Journal | Journal of clinical microbiology |
| Volume | 64 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2026 |
Keywords
- Mycobacterium tuberculosis
- drug resistance
- genotypic testing
- molecular diagnostics
- nontuberculous mycobacteria
- targeted next-generation sequencing
ASJC Scopus subject areas
- Microbiology (medical)
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