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Georghiou SB, de Vos M, Velen K, Miotto P, Colman RE, Cirillo DM, Ismail N, Rodwell TC, Suresh A, Ruhwald M. Designing molecular diagnostics for current tuberculosis drug regimens. Emerg Microbes Infect 2023; 12:2178243. [PMID: 36752055 PMCID: PMC9980415 DOI: 10.1080/22221751.2023.2178243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Diagnostic development must occur in parallel with drug development to ensure the longevity of new treatment compounds. Despite an increasing number of novel and repurposed anti-tuberculosis compounds and regimens, there remains a large number of drugs for which no rapid and accurate molecular diagnostic option exists. The lack of rapid drug susceptibility testing for linezolid, bedaquiline, clofazimine, the nitroimidazoles (i.e pretomanid and delamanid) and pyrazinamide at any level of the healthcare system compromises the effectiveness of current tuberculosis and drug-resistant tuberculosis treatment regimens. In the context of current WHO tuberculosis treatment guidelines as well as promising new regimens, we identify the key diagnostic gaps for initial and follow-on tests to diagnose emerging drug resistance and aid in regimen selection. Additionally, we comment on potential gene targets for inclusion in rapid molecular drug susceptibility assays and sequencing assays for novel and repurposed drug compounds currently prioritized in current regimens, and evaluate the feasibility of mutation detection given the design of existing technologies. Based on current knowledge, we also propose design priorities for next generation molecular assays to support triage of tuberculosis patients to appropriate and effective treatment regimens. We encourage assay developers to prioritize development of these key molecular assays and support the continued evolution, uptake, and utility of sequencing to build knowledge of tuberculosis resistance mechanisms and further inform rapid treatment decisions in order to curb resistance to critical drugs in current regimens and achieve End TB targets.Trial registration: ClinicalTrials.gov identifier: NCT05117788..
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Affiliation(s)
| | | | | | - Paolo Miotto
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Rebecca E. Colman
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland,Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Timothy C. Rodwell
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland,Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Anita Suresh
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland
| | - Morten Ruhwald
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland, Morten Ruhwald FIND, the Global Alliance for Diagnostics, Campus Biotech, 9 Chemin des Mines, Geneva1202, Switzerland
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An Q, Lin R, Yang Q, Wang C, Wang D. Evaluation of genetic mutations associated with phenotypic resistance to fluoroquinolones, bedaquiline, and linezolid in clinical Mycobacterium tuberculosis: A systematic review and meta-analysis. J Glob Antimicrob Resist 2023; 34:214-226. [PMID: 37172764 DOI: 10.1016/j.jgar.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/26/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVES The aim of the study was to update the classification of drugs used in multidrug-resistant tuberculosis (MDR-TB) regimens. Group A drugs (fluoroquinolones, bedaquiline (BDQ), and linezolid (LZD)) are crucial drugs for the control of MDR-TB. Molecular drug resistance assays could facilitate the effective use of Group A drugs. METHODS We summarised the evidence implicating specific genetic mutations in resistance to Group A drugs. We searched PubMed, Embase, MEDLINE, and the Cochrane Library for studies published from the inception of each database until July 1, 2022. Using a random-effects model, we calculated the odds ratios and 95% confidence intervals as our measures of association. RESULTS A total of 5001 clinical isolates were included in 47 studies. Mutations in gyrA A90V, D94G, D94N, and D94Y were significantly associated with an increased risk of a levofloxacin (LFX)-resistant phenotype. In addition, mutations in gyrA G88C, A90V, D94G, D94H, D94N, and D94Y were significantly associated with an increased risk of a moxifloxacin (MFX)-resistant phenotype. In only one study, the majority of gene loci (n = 126, 90.65%) in BDQ-resistant isolates were observed to have unique mutations in atpE, Rv0678, mmpL5, pepQ, and Rv1979c. The most common mutations occurred at four sites in the rrl gene (g2061t, g2270c, g2270t, and g2814t) and at one site in rplC (C154R) in LZD-resistant isolates. Our meta-analysis demonstrated that there were no mutations associated with BDQ- or LZD-resistant phenotypes. CONCLUSION The mutations detected by rapid molecular assay were correlated with phenotypic resistance to LFX and MFX. The absence of mutation-phenotype associations for BDQ and LZD hindered the development of a rapid molecular assay.
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Affiliation(s)
- Qi An
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Rui Lin
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Qing Yang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Chuan Wang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China.
| | - Dongmei Wang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China.
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Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis. Eur Respir J 2022; 60:2200239. [PMID: 35301246 PMCID: PMC9556810 DOI: 10.1183/13993003.00239-2022] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/22/2022] [Indexed: 12/15/2022]
Abstract
Drug susceptibility testing of M. tuberculosis is rooted in a binary susceptible/resistant paradigm. While there are considerable advantages in measuring the minimum inhibitory concentrations (MICs) of a panel of drugs for an isolate, it is necessary to measure the epidemiological cut-off values (ECOFF/ECVs) to permit comparison with qualitative data. Here we present ECOFF/ECVs for 13 anti-tuberculosis compounds, including bedaquiline and delamanid, derived from 20 637 clinical isolates collected by 14 laboratories based in 11 countries on five continents. Each isolate was incubated for 14 days on a dry 96-well broth microdilution plate and then read. Resistance to most of the drugs due to prior exposure is expected and the MIC distributions for many of the compounds are complex, and therefore a phenotypically wild-type population could not be defined. Since a majority of samples also underwent genetic sequencing, we defined a genotypically wild-type population and measured the MIC of the 99th percentile by direct measurement and via fitting a Gaussian using interval regression. The proposed ECOFF/ECVs were then validated by comparing with the MIC distributions of high-confidence genetic variants that confer resistance and with qualitative drug susceptibility tests obtained via the Mycobacterial Growth Indicator Tube (MGIT) system or Microscopic-Observation Drug Susceptibility (MODS) assay. These ECOFF/ECVs will inform and encourage the more widespread adoption of broth microdilution: this is a cheap culture-based method that tests the susceptibility of 12-14 antibiotics on a single 96-well plate and so could help personalise the treatment of tuberculosis.
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Affiliation(s)
- The CRyPTIC Consortium
- For a list of all members of the CRyPTIC Consortium and their affiliations, please see the section at the end of this article
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Puyén ZM, Santos-Lázaro D, Vigo AN, Coronel J, Alarcón MJ, Cotrina VV, Moore DAJ. Evaluation of the broth microdilution plate methodology for susceptibility testing of Mycobacterium tuberculosis in Peru. BMC Infect Dis 2022; 22:705. [PMID: 36002805 PMCID: PMC9399989 DOI: 10.1186/s12879-022-07677-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is a communicable, preventable and curable disease caused by the bacterium Mycobacterium tuberculosis (MTB). Peru is amongst the 30 countries with the highest burden of multidrug-resistant tuberculosis (MDR-TB) worldwide. In the fight against drug-resistant tuberculosis, the UKMYC6 microdilution plate was developed and validated by the CRyPTIC project. The objective of the study was to evaluate the use of the broth microdilution (BMD) plate methodology for susceptibility testing of drug-resistant MTB strains in Peru. METHODS MTB strains isolated between 2015 and 2018 in Peru were used. 496 nationally-representative strains determined as drug-resistant by the routine 7H10 Agar Proportion Method (APM) were included in the present study. The Minimum Inhibitory Concentration (MIC) of 13 antituberculosis drugs were determined for each strain using the UKMYC6 microdilution plates. Diagnostic agreement between APM and BMD plate methodology was determined for rifampicin, isoniazid, ethambutol, ethionamide, kanamycin and levofloxacin. Phenotypes were set using binary (or ternary) classification based on Epidemiological cut-off values (ECOFF/ECV) proposed by the CRyPTIC project. Whole Genome Sequencing (WGS) was performed on strains with discrepant results between both methods. RESULTS MIC distributions were determined for 13 first- and second-line anti-TB drugs, including new (bedaquiline, delamanid) and repurposed (clofazimine, linezolid) agents. MIC results were available for 80% (397/496) of the strains at 14 days and the remainder at 21 days. The comparative analysis determined a good agreement (0.64 ≤ k ≤ 0.79) for the drugs rifampicin, ethambutol, ethionamide and kanamycin, and the best agreement (k > 0.8) for isoniazid and levofloxacin. Overall, 12% of MIC values were above the UKMYC6 plate dilution ranges, most notably for the drugs rifampicin and rifabutin. No strain presented MICs higher than the ECOFF/ECV values for the new or repurposed drugs. Discrepant analysis using genotypic susceptibility testing by WGS supported half of the results obtained by APM (52%, 93/179) and half of those obtained by BMD plate methodology (48%, 86/179). CONCLUSIONS The BMD methodology using the UKMYC6 plate allows the complete susceptibility characterization, through the determination of MICs, of drug-resistant MTB strains in Peru. This methodology shows good diagnostic performances for rifampicin, isoniazid, ethambutol, ethionamide, kanamycin and levofloxacin. It also allows for the characterization of MICs for other drugs used in previous years against tuberculosis, as well as for new and repurposed drugs recently introduced worldwide.
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Affiliation(s)
- Zully M Puyén
- Instituto Nacional de Salud, Lima, Perú.
- Escuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima, Perú.
| | | | | | | | | | | | - David A J Moore
- Universidad Peruana Cayetano Heredia, Lima, Perú
- London School of Hygiene & Tropical Medicine, London, UK
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Omar SV, Ismail F, Ndjeka N, Kaniga K, Ismail NA. Bedaquiline-Resistant Tuberculosis Associated with Rv0678 Mutations. N Engl J Med 2022; 386:93-94. [PMID: 34986292 DOI: 10.1056/nejmc2103049] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Shaheed V Omar
- National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Farzana Ismail
- National Institute for Communicable Diseases, Johannesburg, South Africa
| | | | - Koné Kaniga
- Johnson & Johnson Global Public Health, Titusville, NJ
| | - Nazir A Ismail
- National Institute for Communicable Diseases, Johannesburg, South Africa
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Mbelele PM, Utpatel C, Sauli E, Mpolya EA, Mutayoba BK, Barilar I, Dreyer V, Merker M, Sariko ML, Swema BM, Mmbaga BT, Gratz J, Addo KK, Pletschette M, Niemann S, Houpt ER, Mpagama SG, Heysell SK. OUP accepted manuscript. JAC Antimicrob Resist 2022; 4:dlac042. [PMID: 35465240 PMCID: PMC9021016 DOI: 10.1093/jacamr/dlac042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/25/2022] [Indexed: 12/02/2022] Open
Abstract
Background Rifampicin- or multidrug-resistant (RR/MDR) Mycobacterium tuberculosis complex (MTBC) strains account for considerable morbidity and mortality globally. WGS-based prediction of drug resistance may guide clinical decisions, especially for the design of RR/MDR-TB therapies. Methods We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay. An isolate was phenotypically categorized as resistant if it had an MIC above the epidemiological-cut-off (ECOFF) value, or as susceptible if it had an MIC below or equal to the ECOFF. Results Overall, genotypically non-wild-type MTBC isolates with high-level resistance mutations (gNWT-R) correlated with isolates with MIC values above the ECOFF. For instance, the median MIC value (mg/L) for rifampicin-gNWT-R strains was >4.0 (IQR 4.0–4.0) compared with 0.5 (IQR 0.38–0.50) in genotypically wild-type (gWT-S, P < 0.001); isoniazid-gNWT-R >4.0 (IQR 2.0–4.0) compared with 0.25 (IQR 0.12–1.00) among gWT-S (P = 0.001); ethionamide-gNWT-R 15.0 (IQR 10.0–20.0) compared with 2.50 (IQR; 2.50–5.00) among gWT-S (P < 0.001). WGS correctly predicted resistance in 95% (36/38) and 100% (38/38) of the rifampicin-resistant isolates with ECOFFs >0.5 and >0.125 mg/L, respectively. No known resistance-conferring mutations were present in genes associated with resistance to fluoroquinolones, aminoglycosides, capreomycin, bedaquiline, delamanid, linezolid, clofazimine, cycloserine, or p-amino salicylic acid. Conclusions WGS-based drug resistance prediction worked well to rule-in phenotypic drug resistance and the absence of second-line drug resistance-mediating mutations has the potential to guide the design of RR/MDR-TB regimens in the future.
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Affiliation(s)
- Peter M. Mbelele
- Kibong’oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
- Corresponding author. E-mail:
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Elingarami Sauli
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - Emmanuel A. Mpolya
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - Beatrice K. Mutayoba
- Ministry of Health, National AIDS Control Program, Department of Preventive Services, Dodoma, Tanzania
- CIHLMU Center for International Health, University Hospital, LMU Munich, Germany
| | - Ivan Barilar
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Viola Dreyer
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | | | | | - Blandina T. Mmbaga
- Kilimanjaro Clinical Research Institute, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Jean Gratz
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Kennedy K. Addo
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Michel Pletschette
- CIHLMU Center for International Health, University Hospital, LMU Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Eric R. Houpt
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Stellah G. Mpagama
- Kibong’oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
- Kilimanjaro Clinical Research Institute, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
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Assessment of epidemiological and genetic characteristics and clinical outcomes of resistance to bedaquiline in patients treated for rifampicin-resistant tuberculosis: a cross-sectional and longitudinal study. THE LANCET. INFECTIOUS DISEASES 2021; 22:496-506. [PMID: 34780706 DOI: 10.1016/s1473-3099(21)00470-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/16/2021] [Accepted: 07/29/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Bedaquiline improves outcomes of patients with rifampicin-resistant and multidrug-resistant (MDR) tuberculosis; however, emerging resistance threatens this success. We did a cross-sectional and longitudinal analysis evaluating the epidemiology, genetic basis, and treatment outcomes associated with bedaquiline resistance, using data from South Africa (2015-19). METHODS Patients with drug-resistant tuberculosis starting bedaquiline-based treatment had surveillance samples submitted at baseline, month 2, and month 6, along with demographic information. Culture-positive baseline and post-baseline isolates had phenotypic resistance determined. Eligible patients were aged 12 years or older with a positive culture sample at baseline or, if the sample was invalid or negative, a sample within 30 days of the baseline sample submitted for bedaquiline drug susceptibility testing. For the longitudinal study, the first surveillance sample had to be phenotypically susceptible to bedaquiline for inclusion. Whole-genome sequencing was done on bedaquiline-resistant isolates and a subset of bedaquiline-susceptible isolates. The National Institute for Communicable Diseases tuberculosis reference laboratory, and national tuberculosis surveillance databases were matched to the Electronic Drug-Resistant Tuberculosis Register. We assessed baseline resistance prevalence, mutations, transmission, cumulative resistance incidence, and odds ratios (ORs) associating risk factors for resistance with patient outcomes. FINDINGS Between Jan 1, 2015, and July 31, 2019, 8041 patients had surveillance samples submitted, of whom 2023 were included in the cross-sectional analysis and 695 in the longitudinal analysis. Baseline bedaquiline resistance prevalence was 3·8% (76 of 2023 patients; 95% CI 2·9-4·6), and it was associated with previous exposure to bedaquiline or clofazimine (OR 7·1, 95% CI 2·3-21·9) and with rifampicin-resistant or MDR tuberculosis with additional resistance to either fluoroquinolones or injectable drugs (pre-extensively-drug resistant [XDR] tuberculosis: 4·2, 1·7-10·5) or to both (XDR tuberculosis: 4·8, 2·0-11·7). Rv0678 mutations were the sole genetic basis of phenotypic resistance. Baseline resistance could be attributed to previous bedaquiline or clofazimine exposure in four (5·3%) of 76 patients and to primary transmission in six (7·9%). Odds of successful treatment outcomes were lower in patients with baseline bedaquiline resistance (0·5, 0·3-1). Resistance during treatment developed in 16 (2·3%) of 695 patients, at a median of 90 days (IQR 62-195), with 12 of these 16 having pre-XDR or XDR. INTERPRETATION Bedaquiline resistance was associated with poorer treatment outcomes. Rapid assessment of bedaquiline resistance, especially when patients were previously exposed to bedaquiline or clofazimine, should be prioritised at baseline or if patients remain culture-positive after 2 months of treatment. Preventing resistance by use of novel combination therapies, current treatment optimisation, and patient support is essential. FUNDING National Institute for Communicable Diseases of South Africa.
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Bedaquiline Drug Resistance Emergence Assessment in MDR-TB (DREAM): a 5-Year Prospective In-Vitro Surveillance Study of Bedaquiline and Other Second-Line Drug-Susceptibility Testing in MDR-TB Isolates. J Clin Microbiol 2021; 60:e0291920. [PMID: 34705538 PMCID: PMC8769720 DOI: 10.1128/jcm.02919-20] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Bedaquiline Drug Resistance Emergence Assessment in Multidrug-resistant-tuberculosis (MDR-TB) (DREAM) was a 5-year (2015-2019) phenotypic drug-resistance surveillance study across 11 countries. DREAM assessed the susceptibility of 5036 MDR-TB isolates of bedaquiline-treatment-naïve patients to bedaquiline and other anti-tuberculosis drugs by the 7H9 broth microdilution (BMD) and 7H10/7H11 agar dilution (AD) minimal inhibitory concentration (MIC) methods. Bedaquiline AD MIC quality control (QC) range for the H37Rv reference strain was unchanged, but the BMD MIC QC range (0.015-0.12 μg/ml) was adjusted compared with ranges from a multilaboratory, multicountry reproducibility study conforming to Clinical and Laboratory Standards Institute Tier-2 criteria. Epidemiological cut-off values of 0.12 μg/ml by BMD and 0.25 μg/ml by AD were consistent with previous bedaquiline breakpoints. An area of technical uncertainty or Intermediate category was set at 0.25 μg/ml and 0.5 μg/ml for BMD and AD, respectively. When applied to the 5036 MDR-TB isolates, bedaquiline-susceptible, intermediate and bedaquiline-resistant rates were 97.9%, 1.5% and 0.6%, respectively, for BMD, and 98.8%, 0.8% and 0.4% for AD. Resistance rates were: ofloxacin 35.1%, levofloxacin 34.2%, moxifloxacin 33.3%, 1.5% linezolid and 2% clofazimine. Phenotypic cross resistance between bedaquiline and clofazimine was 0.4% in MDR-TB and 1% in pre-extensively drug-resistant (pre-XDR-TB)/XDR-TB populations. Co-resistance to bedaquiline and linezolid, and clofazimine and linezolid, were 0.1% and 0.3%, respectively, in MDR-TB, and 0.2% and 0.4% in pre-XDR-TB/XDR-TB populations. Resistance rates to bedaquiline appear to be low in the bedaquiline-treatment-naïve population. No treatment-limiting patterns for cross-resistance and co-resistance have been identified with key TB drugs to date.
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