Background The differentiation of Mycobacterium tuberculosis complex (MTBC) from non-tuberculous mycobacteria (NTM) is of primary importance for infection control and the selection of anti-tuberculosis drugs. Up to date data on rifampicin (RIF)-resistant tuberculosis (TB) is essential for the early management of multidrug-resistant TB. The aim of this study was to evaluate the usefulness of a newly developed multiplexed, bead-based bioassay (Quantamatrix Multiplexed Assay Platform, QMAP) for the rapid differentiation of 23 Mycobacterium species including MTBC and RIF-resistant strains. Methods A total of 314 clinical Mycobacterium isolates cultured from respiratory specimens were used in this study. Results The sensitivity and specificity of the QMAP system for Mycobacterium species were 100% (95% CI 99.15–100%, p < 0.0001) and 97.8% (95% CI 91.86–99.87%, p < 0.0001), respectively. The results of conventional drug susceptibility testing and the QMAP Dual-ID assay were completely concordant for all clinical isolates (100%, 95% CI 98.56–100%). Out of 223 M. tuberculosis (MTB) isolates, 196 were pan-susceptible and 27 were resistant to RIF according to QMAP results. All of the mutations in the RIF resistance-determining region detected by the QMAP system were confirmed by rpoB sequence analysis and a REBA MTB-Rifa reverse blot hybridization assay. The majority of the mutations (n = 26, 96.3%), including those missing wild-type probe signals, were located in three codons (529–534, 524–529, and 514–520), and 17 (65.4%) of these mutations were detected by three mutation probes (531TTG, 526TAC, and 516GTC). Conclusions The entire QMAP system assay takes about 3 h to complete, while results from the culture-based conventional method can take up to 48–72 h. Although improvements to the QMAP system are needed for direct respiratory specimens, it may be useful for rapid screening, not only to identify and accurately discriminate MTBC from NTM, but also to identify RIF-resistant MTB strains in positive culture samples.
Bibliographical noteFunding Information:
This work was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant number HI16C1569).
All Science Journal Classification (ASJC) codes
- Microbiology (medical)
- Infectious Diseases