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Objectives: To develop a robust phenotypic antimicrobial susceptibility testing (AST) method with a correctly set breakpoint for pretomanid (Pa), the most recently approved anti-tuberculosis drug.Methods: The Becton Dickinson Mycobacterial Growth Indicator Tube™ (MGIT) system was used at six laboratories to determine the MICs of a phylogenetically diverse collection of 356 Mycobacterium tuberculosis complex (MTBC) strains to establish the epidemiological cut-off value for pretomanid. MICs were correlated with WGS data to study the genetic basis of differences in the susceptibility to pretomanid.Results: We observed ancient differences in the susceptibility to pretomanid among various members of MTBC. Most notably, lineage 1 of M. tuberculosis, which is estimated to account for 28% of tuberculosis cases globally, was less susceptible than lineages 2, 3, 4 and 7 of M. tuberculosis, resulting in a 99th percentile of 2 mg/L for lineage 1 compared with 0.5 mg/L for the remaining M. tuberculosis lineages. Moreover, we observed that higher MICs (≥8 mg/L), which probably confer resistance, had recently evolved independently in six different M. tuberculosis strains. Unlike the aforementioned ancient differences in susceptibility, these recent differences were likely caused by mutations in the known pretomanid resistance genes.Conclusions: In light of these findings, the provisional critical concentration of 1 mg/L for MGIT set by EMA must be re-evaluated. More broadly, these findings underline the importance of considering the global diversity of MTBC during clinical development of drugs and when defining breakpoints for AST. [ABSTRACT FROM AUTHOR]

Background Comprehensive and reliable drug susceptibility testing (DST) is urgently needed to provide adequate treatment regimens for patients with multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB). We determined whether next-generation sequencing (NGS) analysis of Mycobacterium tuberculosis complex isolates and genes implicated in drug resistance can guide the design of effective MDR/RR-TB treatment regimens. Methods NGS-based genomic DST predictions of M. tuberculosis complex isolates from MDR/RR-TB patients admitted to a TB reference center in Germany between 1 January 2015 and 30 April 2019 were compared with phenotypic DST results of mycobacteria growth indicator tubes (MGIT). Standardized treatment algorithms were applied to design individualized therapies based on either genomic or phenotypic DST results, and discrepancies were further evaluated by determination of minimal inhibitory drug concentrations (MICs) using Sensititre MYCOTBI and UKMYC microtiter plates. Results In 70 patients with MDR/RR-TB, agreement among 1048 pairwise comparisons of genomic and phenotypic DST was 86.3%; 76 (7.2%) results were discordant, and 68 (6.5%) could not be evaluated due to the presence of polymorphisms with yet unknown implications for drug resistance. Importantly, 549 of 561 (97.9%) predictions of drug susceptibility were phenotypically confirmed in MGIT, and 27 of 64 (42.2%) false-positive results were linked to previously described mutations mediating a low or moderate MIC increase. Virtually all drugs (99.0%) used in combination therapies that were inferred from genomic DST were confirmed to be susceptible by phenotypic DST. Conclusions NGS-based genomic DST can reliably guide the design of effective MDR/RR-TB treatment regimens. [ABSTRACT FROM AUTHOR]

Objectives: The objective of this study was to develop standardized protocols for rapid delamanid drug susceptibility testing (DST) using the colorimetric resazurin microtitre assay (REMA) and semi-automated BACTEC™ MGIT™ 960 system (MGIT) by establishing breakpoints that accurately discriminate between susceptibility and resistance of Mycobacterium tuberculosis to delamanid.Methods: MICs of delamanid were determined by the MGIT, the REMA and the solid agar method for 19 pre-characterized strains. The MIC distribution of delamanid was then established for a panel of clinical strains never exposed to the drug and characterized by different geographical origins and susceptibility patterns. WGS was used to investigate genetic polymorphisms in five genes (ddn, fgd1, fbiA, fbiB and fbiC) involved in intracellular delamanid activation.Results: We demonstrated that the REMA and MGIT can both be used for the rapid and accurate determination of delamanid MIC, showing excellent concordance with the solid agar reference method, as well as high reproducibility and repeatability. We propose the tentative breakpoint of 0.125 mg/L for the REMA and MGIT, allowing reliable discrimination between M. tuberculosis susceptible and resistant to delamanid. Stop codon mutations in ddn (Trp-88 → STOP) and fbiA (Lys-250 → STOP) have only been observed in strains resistant to delamanid.Conclusions: We established protocols for DST of delamanid in the MGIT and REMA, confirming their feasibility in routine TB diagnostics, utilizing the same discriminative concentration for both methods. Moreover, taking advantage of WGS analysis, we identified polymorphisms potentially associated with resistance in two genes involved in delamanid activation. [ABSTRACT FROM AUTHOR]