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Anthony R, Groenheit R, Mansjö M, de Zwaan R, Werngren J. The Relative Positioning of Genotyping and Phenotyping for Tuberculosis Resistance Screening in Two EU National Reference Laboratories in 2023. Microorganisms 2023; 11:1809. [PMID: 37512981 PMCID: PMC10383358 DOI: 10.3390/microorganisms11071809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/03/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
The routine use of whole genome sequencing (WGS) as a reference typing technique for Mycobacterium tuberculosis epidemiology combined with the catalogued and extensive knowledge base of resistance-associated mutations means an initial susceptibility prediction can be derived from all cultured isolates in our laboratories based on WGS data alone. Preliminary work has confirmed, in our low-burden settings, these predictions are for first-line drugs, reproducible, robust with an accuracy similar to phenotypic drug susceptibility testing (pDST) and in many cases able to also predict the level of resistance (MIC). Routine screening for drug resistance by WGS results in approximately 80% of the isolates received being predicted as fully susceptible to the first-line drugs. Parallel testing with both WGS and pDST has demonstrated that routine pDST of genotypically fully susceptible isolates yields minimal additional information. Thus, rather than re-confirming all fully sensitive WGS-based predictions, we suggest that a more efficient use of available mycobacterial culture capacity in our setting is the development of a more extensive and detailed pDST targeted at any mono or multi-drug-resistant isolates identified by WGS screening. Phenotypic susceptibility retains a key role in the determination of an extended susceptibility profile for mono/multi-drugresistant isolates identified by WGS screening. The pDST information collected is also needed to support the development of future catalogues of resistance-associated mutations.
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Affiliation(s)
- Richard Anthony
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721BA Bilthoven, The Netherlands
| | - Ramona Groenheit
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, 171 82 Solna, Sweden
| | - Mikael Mansjö
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, 171 82 Solna, Sweden
| | - Rina de Zwaan
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721BA Bilthoven, The Netherlands
| | - Jim Werngren
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, 171 82 Solna, Sweden
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2
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Köser CU, Maurer FP. Minimum inhibitory concentrations and sequencing data have to be analysed in more detail to set provisional epidemiological cut-off values for Mycobacterium tuberculosis complex. Eur Respir J 2023; 61:61/5/2202397. [PMID: 37147011 DOI: 10.1183/13993003.02397-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/09/2023] [Indexed: 05/07/2023]
Affiliation(s)
- Claudio U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Florian P Maurer
- Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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3
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Fröberg G, Maurer FP, Chryssanthou E, Fernström L, Benmansour H, Boarbi S, Mengshoel AT, Keller PM, Viveiros M, Machado D, Fitzgibbon MM, Mok S, Werngren J, Cirillo DM, Alcaide F, Hyyryläinen HL, Aubry A, Andres S, Nadarajan D, Svensson E, Turnidge J, Giske CG, Kahlmeter G, Cambau E, van Ingen J, Schön T. Towards clinical breakpoints for non-tuberculous mycobacteria - Determination of epidemiological cut off values for the Mycobacterium avium complex and Mycobacterium abscessus using broth microdilution. Clin Microbiol Infect 2023:S1198-743X(23)00060-5. [PMID: 36813087 DOI: 10.1016/j.cmi.2023.02.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE For non-tuberculous mycobacteria (NTM), minimum inhibitory concentration (MIC) distributions of wild-type isolates have not been systematically evaluated despite their importance for establishing antimicrobial susceptibility testing (AST) breakpoints. METHODS We gathered MIC distributions for drugs used against the Mycobacterium avium complex (MAC) and Mycobacterium abscessus (MAB) obtained by commercial broth microdilution (SLOMYCOI and RAPMYCOI) from 12 laboratories. Epidemiological cut-off values (ECOFFs) and tentative ECOFFs (TECOFFs) were determined by EUCAST methodology including quality control (QC) strains. RESULTS The clarithromycin ECOFF was 16 mg/L for M. avium (n = 1271) whereas TECOFFs were 8 mg/L for M. intracellulare (n = 415) and 1 mg/L for MAB (n = 1014) confirmed by analysing MAB subspecies without inducible macrolide resistance (n = 235). For amikacin, the ECOFFs were 64 mg/L for MAC and MAB. For moxifloxacin, the WT spanned >8 mg/L for both MAC and MAB. For linezolid, the ECOFF and TECOFF were 64 mg/L for M. avium and M. intracellulare, respectively. Current CLSI breakpoints for amikacin (16 mg/L), moxifloxacin (1 mg/L) and linezolid (8 mg/L) divided the corresponding WT distributions. For QC M. avium and M. peregrinum, ≥95% of MIC values were well within recommended QC ranges. CONCLUSION As a first step towards clinical breakpoints for NTM, (T)ECOFFs were defined for several antimicrobials against MAC and MAB. Broad wild-type MIC distributions indicate a need for further method refinement which is now under development within the EUCAST subcommittee for anti-mycobacterial drug susceptibility testing. In addition, we showed that several CLSI NTM breakpoints are not consistent in relation to the (T)ECOFFs.
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Affiliation(s)
- Gabrielle Fröberg
- Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Florian P Maurer
- National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Erja Chryssanthou
- Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Louise Fernström
- Department of Internal Medicine, Lycksele Hospital, Lycksele, Sweden
| | - Hanaa Benmansour
- AP-HP, GHU Nord, Service de Mycobactériologie Spécialisée et de référence, laboratoire associé au Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Université Paris Cité, Paris, France
| | - Samira Boarbi
- National Reference Center for Tuberculosis and Mycobacteria, Sciensano, Brussels, Belgium
| | - Anne Torunn Mengshoel
- Department of Bacteriology, Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Miguel Viveiros
- Unit of Medical Microbiology, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Diana Machado
- Unit of Medical Microbiology, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Margaret M Fitzgibbon
- Irish Mycobacteria Reference Laboratory, St James's Hospital, Dublin, Ireland; Department of Clinical Microbiology, School of Medicine, Trinity College, Dublin, Ireland
| | - Simone Mok
- Irish Mycobacteria Reference Laboratory, St James's Hospital, Dublin, Ireland; Department of Clinical Microbiology, School of Medicine, Trinity College, Dublin, Ireland
| | - Jim Werngren
- Department of Microbiology, Unit for Laboratory Surveillance of Bacterial Pathogens, Public Health Agency of Sweden, Solna, Sweden
| | | | - Fernando Alcaide
- Department of Clinical Microbiology, Bellvitge University Hospital-IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | | | - Alexandra Aubry
- Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Centre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Paris, France
| | - Sönke Andres
- National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Darshaalini Nadarajan
- National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Erik Svensson
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark
| | - John Turnidge
- School of Biological Sciences and Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Christian G Giske
- Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gunnar Kahlmeter
- The EUCAST Development Laboratory, Clinical Microbiology, Central Hospital, Växjö, Sweden
| | - Emmanuelle Cambau
- AP-HP, GHU Nord, Service de Mycobactériologie Spécialisée et de référence, laboratoire associé au Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Université Paris Cité, Paris, France
| | - Jakko van Ingen
- Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Thomas Schön
- Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Sweden; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; Department of Infectious Diseases in Östergötland, Linköping University, Linköping, Sweden.
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4
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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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5
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Kosznik-Kwaśnicka K, Podlacha M, Grabowski Ł, Stasiłojć M, Nowak-Zaleska A, Ciemińska K, Cyske Z, Dydecka A, Gaffke L, Mantej J, Myślińska D, Necel A, Pierzynowska K, Piotrowska E, Radzanowska-Alenowicz E, Rintz E, Sitko K, Topka-Bielecka G, Węgrzyn G, Węgrzyn A. Biological aspects of phage therapy versus antibiotics against Salmonella enterica serovar Typhimurium infection of chickens. Front Cell Infect Microbiol 2022; 12:941867. [PMID: 35992162 PMCID: PMC9385949 DOI: 10.3389/fcimb.2022.941867] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/11/2022] [Indexed: 02/01/2023] Open
Abstract
Phage therapy is a promising alternative treatment of bacterial infections in human and animals. Nevertheless, despite the appearance of many bacterial strains resistant to antibiotics, these drugs still remain important therapeutics used in human and veterinary medicine. Although experimental phage therapy of infections caused by Salmonella enterica was described previously by many groups, those studies focused solely on effects caused by bacteriophages. Here, we compared the use of phage therapy (employing a cocktail composed of two previously isolated and characterized bacteriophages, vB_SenM-2 and vB_Sen-TO17) and antibiotics (enrofloxacin and colistin) in chickens infected experimentally with S. enterica serovar Typhimurium. We found that the efficacies of both types of therapies (i.e. the use of antibiotics and phage cocktail) were high and very similar to one another when the treatment was applied shortly (one day) after the infection. Under these conditions, S. Typhimurium was quickly eliminated from the gastrointestinal tract (GIT), to the amount not detectable by the used methods. However, later treatment (2 or 4 days after detection of S. Typhimurium in chicken feces) with the phage cocktail was significantly less effective. Bacteriophages remained in the GIT for up to 2-3 weeks, and then were absent in feces and cloaca swabs. Interestingly, both phages could be found in various organs of chickens though with a relatively low abundance. No development of resistance of S. Typhimurium to phages or antibiotics was detected during the experiment. Importantly, although antibiotics significantly changed the GIT microbiome of chickens in a long-term manner, analogous changes caused by phages were transient, and the microbiome normalized a few weeks after the treatment. In conclusion, phage therapy against S. Typhimurium infection in chickens appeared as effective as antibiotic therapy (with either enrofloxacin or colistin), and less invasive than the use the antibiotics as fewer changes in the microbiome were observed.
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Affiliation(s)
- Katarzyna Kosznik-Kwaśnicka
- Laboratory of Phage Therapy, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Gdansk, Poland
- Department of Medical Microbiology, Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland
| | - Magdalena Podlacha
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Łukasz Grabowski
- Laboratory of Phage Therapy, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Gdansk, Poland
| | - Małgorzata Stasiłojć
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
- Department of Cell Biology and Immunology, Intercollegiate Faculty of Biotechnology of University of Gdansk and Medical University of Gdansk, Gdansk, Poland
| | - Alicja Nowak-Zaleska
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
- Institute of Physical Culture, Kazimierz Wielki University, Bydgoszcz, Poland
| | - Karolina Ciemińska
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
- Department of Microbiology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Zuzanna Cyske
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Aleksandra Dydecka
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Lidia Gaffke
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Jagoda Mantej
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Dorota Myślińska
- Department of Animal and Human Physiology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Agnieszka Necel
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Karolina Pierzynowska
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Ewa Piotrowska
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | | | - Estera Rintz
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Krzysztof Sitko
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Gracja Topka-Bielecka
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Grzegorz Węgrzyn
- Department of Molecular Biology, Faculty of Biology, University of Gdansk, Gdansk, Poland
| | - Alicja Węgrzyn
- Laboratory of Phage Therapy, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Gdansk, Poland
- *Correspondence: Alicja Węgrzyn,
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6
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Alffenaar JWC, Stocker SL, Forsman LD, Garcia-Prats A, Heysell SK, Aarnoutse RE, Akkerman OW, Aleksa A, van Altena R, de Oñata WA, Bhavani PK, Van't Boveneind-Vrubleuskaya N, Carvalho ACC, Centis R, Chakaya JM, Cirillo DM, Cho JG, D Ambrosio L, Dalcolmo MP, Denti P, Dheda K, Fox GJ, Hesseling AC, Kim HY, Köser CU, Marais BJ, Margineanu I, Märtson AG, Torrico MM, Nataprawira HM, Ong CWM, Otto-Knapp R, Peloquin CA, Silva DR, Ruslami R, Santoso P, Savic RM, Singla R, Svensson EM, Skrahina A, van Soolingen D, Srivastava S, Tadolini M, Tiberi S, Thomas TA, Udwadia ZF, Vu DH, Zhang W, Mpagama SG, Schön T, Migliori GB. Clinical standards for the dosing and management of TB drugs. Int J Tuberc Lung Dis 2022; 26:483-499. [PMID: 35650702 PMCID: PMC9165737 DOI: 10.5588/ijtld.22.0188] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND: Optimal drug dosing is important to ensure adequate response to treatment, prevent development of drug resistance and reduce drug toxicity. The aim of these clinical standards is to provide guidance on 'best practice´ for dosing and management of TB drugs.METHODS: A panel of 57 global experts in the fields of microbiology, pharmacology and TB care were identified; 51 participated in a Delphi process. A 5-point Likert scale was used to score draft standards. The final document represents the broad consensus and was approved by all participants.RESULTS: Six clinical standards were defined: Standard 1, defining the most appropriate initial dose for TB treatment; Standard 2, identifying patients who may be at risk of sub-optimal drug exposure; Standard 3, identifying patients at risk of developing drug-related toxicity and how best to manage this risk; Standard 4, identifying patients who can benefit from therapeutic drug monitoring (TDM); Standard 5, highlighting education and counselling that should be provided to people initiating TB treatment; and Standard 6, providing essential education for healthcare professionals. In addition, consensus research priorities were identified.CONCLUSION: This is the first consensus-based Clinical Standards for the dosing and management of TB drugs to guide clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment to improve patient care.
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Affiliation(s)
- J W C Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - S L Stocker
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Department of Clinical Pharmacology and Toxicology, St Vincent´s Hospital, Sydney, NSW, Australia, St Vincent´s Clinical Campus, University of NSW, Kensington, NSW, Australia
| | - L Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Sweden, Department of Infectious Diseases Karolinska University Hospital, Solna, Sweden
| | - A Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa, Department of Pediatrics, University of Wisconsin, Madison, WI
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - R E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - O W Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - A Aleksa
- Educational Institution "Grodno State Medical University", Grodno, Belarus
| | - R van Altena
- Asian Harm Reduction Network (AHRN) and Medical Action Myanmar (MAM) in Yangon, Myanmar
| | - W Arrazola de Oñata
- Belgian Scientific Institute for Public Health (Belgian Lung and Tuberculosis Association), Brussels, Belgium
| | - P K Bhavani
- Indian Council of Medical Research-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - N Van't Boveneind-Vrubleuskaya
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, Department of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
| | - J M Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - J G Cho
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia, Parramatta Chest Clinic, Parramatta, NSW, Australia
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M P Dalcolmo
- Reference Center Hélio Fraga, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - P Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - K Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, University of Cape Town Lung Institute & South African MRC Centre for the Study of Antimicrobial Resistance, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - G J Fox
- Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - A C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - H Y Kim
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - C U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - B J Marais
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Department of Infectious Diseases and Microbiology, The Children´s Hospital at Westmead, Westmead, NSW, Australia
| | - I Margineanu
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México, Mexico
| | - H M Nataprawira
- Division of Paediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - R Otto-Knapp
- German Central Committee against Tuberculosis (DZK), Berlin, Germany
| | - C A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - D R Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- TB/HIV Research Centre, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - P Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, Indonesia
| | - R M Savic
- Department of Bioengineering and Therapeutic Sciences, Division of Pulmonary and Critical Care Medicine, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
| | - R Singla
- Department of TB & Respiratory Diseases, National Institute of TB & Respiratory Diseases, New Delhi, India
| | - E M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands, Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - A Skrahina
- The Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus
| | - D van Soolingen
- National Institute for Public Health and the Environment, TB Reference Laboratory (RIVM), Bilthoven, The Netherlands
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, USA
| | - M Tadolini
- Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy, Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - D H Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - W Zhang
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People´s Republic of China
| | - S G Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - T Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden, Institute of Biomedical and Clinical Sciences, Division of Infection and Inflammation, Linköping University, Linköping, Sweden, Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
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7
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Fowler PW, Wright C, Spiers H, Zhu T, Baeten EML, Hoosdally SW, Gibertoni Cruz AL, Roohi A, Kouchaki S, Walker TM, Peto TEA, Miller G, Lintott C, Clifton D, Crook DW, Walker AS. A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates. eLife 2022; 11:e75046. [PMID: 35588296 PMCID: PMC9286738 DOI: 10.7554/elife.75046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 05/15/2022] [Indexed: 11/28/2022] Open
Abstract
Tuberculosis is a respiratory disease that is treatable with antibiotics. An increasing prevalence of resistance means that to ensure a good treatment outcome it is desirable to test the susceptibility of each infection to different antibiotics. Conventionally, this is done by culturing a clinical sample and then exposing aliquots to a panel of antibiotics, each being present at a pre-determined concentration, thereby determining if the sample isresistant or susceptible to each sample. The minimum inhibitory concentration (MIC) of a drug is the lowestconcentration that inhibits growth and is a more useful quantity but requires each sample to be tested at a range ofconcentrations for each drug. Using 96-well broth micro dilution plates with each well containing a lyophilised pre-determined amount of an antibiotic is a convenient and cost-effective way to measure the MICs of several drugs at once for a clinical sample. Although accurate, this is still an expensive and slow process that requires highly-skilled and experienced laboratory scientists. Here we show that, through the BashTheBug project hosted on the Zooniverse citizen science platform, a crowd of volunteers can reproducibly and accurately determine the MICs for 13 drugs and that simply taking the median or mode of 11-17 independent classifications is sufficient. There is therefore a potential role for crowds to support (but not supplant) the role of experts in antibiotic susceptibility testing.
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Affiliation(s)
- Philip W Fowler
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Carla Wright
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Helen Spiers
- Zooniverse, Department of Physics, University of OxfordOxfordUnited Kingdom
- Electron Microscopy Science Technology Platform, The Francis Crick InstituteLondonUnited Kingdom
| | - Tingting Zhu
- Institute of Biomedical Engineering, University of OxfordOxfordUnited Kingdom
| | - Elisabeth ML Baeten
- Citizen Scientist, c/o Zooniverse, Department of Physics, University of OxfordOxfordUnited Kingdom
| | - Sarah W Hoosdally
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | | | - Aysha Roohi
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Samaneh Kouchaki
- Institute of Biomedical Engineering, University of OxfordOxfordUnited Kingdom
| | - Timothy M Walker
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Timothy EA Peto
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Grant Miller
- Zooniverse, Department of Physics, University of OxfordOxfordUnited Kingdom
| | - Chris Lintott
- Zooniverse, Department of Physics, University of OxfordOxfordUnited Kingdom
| | - David Clifton
- Institute of Biomedical Engineering, University of OxfordOxfordUnited Kingdom
| | - Derrick W Crook
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - A Sarah Walker
- Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
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8
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Georghiou SB, Rodwell TC, Korobitsyn A, Abbadi SH, Ajbani K, Alffenaar JW, Alland D, Alvarez N, Andres S, Ardizzoni E, Aubry A, Baldan R, Ballif M, Barilar I, Böttger EC, Chakravorty S, Claxton PM, Cirillo DM, Comas I, Coulter C, Denkinger CM, Derendinger B, Desmond EP, de Steenwinkel JE, Dheda K, Diacon AH, Dolinger DL, Dooley KE, Egger M, Ehsani S, Farhat MR, Fattorini L, Finci I, Le Ray LF, Furió V, Groenheit R, Gumbo T, Heysell SK, Hillemann D, Hoffmann H, Hsueh PR, Hu Y, Huang H, Hussain A, Ismail F, Izumi K, Jagielski T, Johnson JL, Kambli P, Kaniga K, Eranga Karunaratne G, Sharma MK, Keller PM, Kelly EC, Kholina M, Kohli M, Kranzer K, Laurenson IF, Limberis J, Grace Lin SY, Liu Y, López-Gavín A, Lyander A, Machado D, Martinez E, Masood F, Mitarai S, Mvelase NR, Niemann S, Nikolayevskyy V, Maurer FP, Merker M, Miotto P, Omar SV, Otto-Knapp R, Palaci M, Palacios Gutiérrez JJ, Peacock SJ, Peloquin CA, Perera J, Pierre-Audigier C, Pholwat S, Posey JE, Prammananan T, Rigouts L, Robledo J, Rockwood N, Rodrigues C, Salfinger M, Schechter MC, Seifert M, Sengstake S, Shinnick T, Shubladze N, Sintchenko V, Sirgel F, Somasundaram S, Sterling TR, Spitaleri A, Streicher E, Supply P, Svensson E, Tagliani E, Tahseen S, Takaki A, Theron G, Torrea G, Van Deun A, van Ingen J, Van Rie A, van Soolingen D, Vargas Jr R, Venter A, Veziris N, Villellas C, Viveiros M, Warren R, Wen S, Werngren J, Wilkinson RJ, Yang C, Yılmaz FF, Zhang T, Zimenkov D, Ismail N, Köser CU, Schön T. Updating the approaches to define susceptibility and resistance to anti-tuberculosis agents: implications for diagnosis and treatment. Eur Respir J 2022; 59:2200166. [PMID: 35422426 PMCID: PMC9059840 DOI: 10.1183/13993003.00166-2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/05/2022] [Indexed: 11/07/2022]
Abstract
Approximately 85 000 deaths globally in 2019 were due to drug-resistant tuberculosis (TB), which corresponds to 7% of global deaths attributable to bacterial antimicrobial resistance [1]. Yet concerns have been mounting that drug-resistant TB was being underestimated because the approaches to define susceptibility and resistance to anti-TB agents had not kept up with those used for other major bacterial pathogens [2–9]. Here, we outline the recent, evidence-based initiatives spearheaded by the World Health Organization (WHO) and others to update breakpoints (traditionally referred to as critical concentrations (CCs)) that are used for phenotypic antimicrobial susceptibility testing (AST), also called drug susceptibility testing in the TB literature. Inappropriately high breakpoints have resulted in systematic false-susceptible AST results to anti-TB drugs. MIC, PK/PD and clinical outcome data should be combined when setting breakpoints to minimise the emergence and spread of antimicrobial resistance. https://bit.ly/3i43wb6
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9
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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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10
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Vargas R, Freschi L, Spitaleri A, Tahseen S, Barilar I, Niemann S, Miotto P, Cirillo DM, Köser CU, Farhat MR. Role of Epistasis in Amikacin, Kanamycin, Bedaquiline, and Clofazimine Resistance in Mycobacterium tuberculosis Complex. Antimicrob Agents Chemother 2021; 65:e0116421. [PMID: 34460306 PMCID: PMC8522733 DOI: 10.1128/aac.01164-21] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/20/2021] [Indexed: 12/13/2022] Open
Abstract
Antibiotic resistance among bacterial pathogens poses a major global health threat. Mycobacterium tuberculosis complex (MTBC) is estimated to have the highest resistance rates of any pathogen globally. Given the low growth rate and the need for a biosafety level 3 laboratory, the only realistic avenue to scale up drug susceptibility testing (DST) for this pathogen is to rely on genotypic techniques. This raises the fundamental question of whether a mutation is a reliable surrogate for phenotypic resistance or whether the presence of a second mutation can completely counteract its effect, resulting in major diagnostic errors (i.e., systematic false resistance results). To date, such epistatic interactions have only been reported for streptomycin that is now rarely used. By analyzing more than 31,000 MTBC genomes, we demonstrated that the eis C-14T promoter mutation, which is interrogated by several genotypic DST assays endorsed by the World Health Organization, cannot confer resistance to amikacin and kanamycin if it coincides with loss-of-function (LoF) mutations in the coding region of eis. To our knowledge, this represents the first definitive example of antibiotic reversion in MTBC. Moreover, we raise the possibility that mmpR (Rv0678) mutations are not valid markers of resistance to bedaquiline and clofazimine if these coincide with an LoF mutation in the efflux pump encoded by mmpS5 (Rv0677c) and mmpL5 (Rv0676c).
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Affiliation(s)
- Roger Vargas
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Luca Freschi
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrea Spitaleri
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sabira Tahseen
- National TB Reference Laboratory, National TB Control Program, Islamabad, Pakistan
| | - Ivan Barilar
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Stefan Niemann
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Maha R. Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
- Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
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11
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Kadura S, King N, Nakhoul M, Zhu H, Theron G, Köser CU, Farhat M. Systematic review of mutations associated with resistance to the new and repurposed Mycobacterium tuberculosis drugs bedaquiline, clofazimine, linezolid, delamanid and pretomanid. J Antimicrob Chemother 2021; 75:2031-2043. [PMID: 32361756 DOI: 10.1093/jac/dkaa136] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 03/09/2020] [Accepted: 03/12/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Improved genetic understanding of Mycobacterium tuberculosis (MTB) resistance to novel and repurposed anti-tubercular agents can aid the development of rapid molecular diagnostics. METHODS Adhering to PRISMA guidelines, in March 2018, we performed a systematic review of studies implicating mutations in resistance through sequencing and phenotyping before and/or after spontaneous resistance evolution, as well as allelic exchange experiments. We focused on the novel drugs bedaquiline, delamanid, pretomanid and the repurposed drugs clofazimine and linezolid. A database of 1373 diverse control MTB whole genomes, isolated from patients not exposed to these drugs, was used to further assess genotype-phenotype associations. RESULTS Of 2112 papers, 54 met the inclusion criteria. These studies characterized 277 mutations in the genes atpE, mmpR, pepQ, Rv1979c, fgd1, fbiABC and ddn and their association with resistance to one or more of the five drugs. The most frequent mutations for bedaquiline, clofazimine, linezolid, delamanid and pretomanid resistance were atpE A63P, mmpR frameshifts at nucleotides 192-198, rplC C154R, ddn W88* and ddn S11*, respectively. Frameshifts in the mmpR homopolymer region nucleotides 192-198 were identified in 52/1373 (4%) of the control isolates without prior exposure to bedaquiline or clofazimine. Of isolates resistant to one or more of the five drugs, 59/519 (11%) lacked a mutation explaining phenotypic resistance. CONCLUSIONS This systematic review supports the use of molecular methods for linezolid resistance detection. Resistance mechanisms involving non-essential genes show a diversity of mutations that will challenge molecular diagnosis of bedaquiline and nitroimidazole resistance. Combined phenotypic and genotypic surveillance is needed for these drugs in the short term.
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Affiliation(s)
- Suha Kadura
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA.,Pulmonary and Critical Care Division, St. Elizabeth's Medical Center, 736 Cambridge Street, Boston, MA 02135, USA
| | - Nicholas King
- Yale University, Faculty of Arts and Sciences, 260 Whitney Ave, New Haven, CT 06511, USA.,Boston Healthcare for the Homeless Program, 780 Albany Street, Boston, MA 02118, USA
| | - Maria Nakhoul
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Hongya Zhu
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA
| | - Grant Theron
- NRF-DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Claudio U Köser
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, UK
| | - Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA.,Pulmonary and Critical Care Division, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
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12
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Burke A, Smith D, Coulter C, Bell SC, Thomson R, Roberts JA. Clinical Pharmacokinetic and Pharmacodynamic Considerations in the Drug Treatment of Non-Tuberculous Mycobacteria in Cystic Fibrosis. Clin Pharmacokinet 2021; 60:1081-1102. [PMID: 33982266 DOI: 10.1007/s40262-021-01010-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2021] [Indexed: 10/21/2022]
Abstract
Non-tuberculous mycobacteria (NTM) are an emerging group of pulmonary infectious pathogens of increasing importance to the management of patients with cystic fibrosis (CF). NTM include slow-growing mycobacteria such as Mycobacterium avium complex (MAC) and rapidly growing mycobacteria such as Mycobacterium abscessus. The incidence of NTM in the CF population is increasing and infection contributes to significant morbidity to the patient and costs to the health system. Treating M. abscessus requires the combination of multiple costly antibiotics for months, with potentially significant toxicity associated with treatment. Although international guidelines for the treatment of NTM infection in CF are available, there are a lack of robust pharmacokinetic studies in CF patients to inform dosing and drug choice. This paper aims to outline the pharmacokinetic and pharmacodynamic factors informing the optimal treatment of NTM infections in CF.
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Affiliation(s)
- Andrew Burke
- Thoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland School of Medicine, Brisbane, QLD, Australia
| | - Daniel Smith
- Thoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland School of Medicine, Brisbane, QLD, Australia
| | - Chris Coulter
- Thoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland School of Medicine, Brisbane, QLD, Australia
| | - Scott C Bell
- Thoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland School of Medicine, Brisbane, QLD, Australia.,QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Rachel Thomson
- Thoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland School of Medicine, Brisbane, QLD, Australia.,Immunology Department, Gallipoli Medical Research Institute, Brisbane, QLD, Australia
| | - Jason A Roberts
- Faculty of Medicine, University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia. .,Department of Pharmacy, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia. .,Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia. .,Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France.
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13
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Köser CU, Georghiou SB, Schön T, Salfinger M. On the Consequences of Poorly Defined Breakpoints for Rifampin Susceptibility Testing of Mycobacterium tuberculosis Complex. J Clin Microbiol 2021; 59:e02328-20. [PMID: 33568463 PMCID: PMC8092724 DOI: 10.1128/jcm.02328-20] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In a recent report of a systematic review of critical concentrations (CCs), the World Health Organization (WHO) lowered the rifampin (RIF) CC for antimicrobial susceptibility testing (AST) of the Mycobacterium tuberculosis complex using Middlebrook 7H10 medium and the Bactec Mycobacterial Growth Indicator Tube (MGIT) 960 system from 1 to 0.5 μg/ml. The previous RIF CC for 7H10 had been in use for over half a century. Because it had served as the de facto reference standard, it contributed to the endorsement of inappropriately high CCs for other AST methods, including the U.S. Food and Drug Administration (FDA)-approved MGIT system. Moreover, this resulted in confusion about the interpretation of seven borderline resistance mutations in rpoB (i.e., L430P, D435Y, H445L, H445N, H445S, L452P, and I491F). In this issue of the Journal of Clinical Microbiology, Shea et al. (J Clin Microbiol 59:e01885-20, 2021, https://doi.org/10.1128/JCM.01885-20) provide evidence that the CC endorsed by the Clinical and Laboratory Standards Institute for the Sensititre MYCOTB system, which is not FDA approved but is CE-IVD marked in the European Union, is likely also too high. These findings underscore the importance of calibrating AST methods against a rigorously defined reference standard, as recently proposed by the European Committee on Antimicrobial Susceptibility Testing, as well as the value of routine next-generation sequencing for investigating discordant AST results.
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Affiliation(s)
- Claudio U Köser
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | | | - Thomas Schön
- Department of Infectious Diseases, Kalmar County Hospital, Linköping University, Kalmar, Sweden
- Unit of Infection and Inflammation, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden
| | - Max Salfinger
- University of South Florida College of Public Health and Morsani College of Medicine, Tampa, Florida, USA
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14
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Sturkenboom MGG, Märtson AG, Svensson EM, Sloan DJ, Dooley KE, van den Elsen SHJ, Denti P, Peloquin CA, Aarnoutse RE, Alffenaar JWC. Population Pharmacokinetics and Bayesian Dose Adjustment to Advance TDM of Anti-TB Drugs. Clin Pharmacokinet 2021; 60:685-710. [PMID: 33674941 PMCID: PMC7935699 DOI: 10.1007/s40262-021-00997-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2021] [Indexed: 02/07/2023]
Abstract
Tuberculosis (TB) is still the number one cause of death due to an infectious disease. Pharmacokinetics and pharmacodynamics of anti-TB drugs are key in the optimization of TB treatment and help to prevent slow response to treatment, acquired drug resistance, and adverse drug effects. The aim of this review was to provide an update on the pharmacokinetics and pharmacodynamics of anti-TB drugs and to show how population pharmacokinetics and Bayesian dose adjustment can be used to optimize treatment. We cover aspects on preclinical, clinical, and population pharmacokinetics of different drugs used for drug-susceptible TB and multidrug-resistant TB. Moreover, we include available data to support therapeutic drug monitoring of these drugs and known pharmacokinetic and pharmacodynamic targets that can be used for optimization of therapy. We have identified a wide range of population pharmacokinetic models for first- and second-line drugs used for TB, which included models built on NONMEM, Pmetrics, ADAPT, MWPharm, Monolix, Phoenix, and NPEM2 software. The first population models were built for isoniazid and rifampicin; however, in recent years, more data have emerged for both new anti-TB drugs, but also for defining targets of older anti-TB drugs. Since the introduction of therapeutic drug monitoring for TB over 3 decades ago, further development of therapeutic drug monitoring in TB next steps will again depend on academic and clinical initiatives. We recommend close collaboration between researchers and the World Health Organization to provide important guideline updates regarding therapeutic drug monitoring and pharmacokinetics/pharmacodynamics.
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Affiliation(s)
- Marieke G G Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Anne-Grete Märtson
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Elin M Svensson
- Department of Pharmacy, Uppsala University, Uppsala, Sweden.,Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Derek J Sloan
- Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.,Liverpool School of Tropical Medicine, Liverpool, UK.,School of Medicine, University of St Andrews, St Andrews, UK
| | - Kelly E Dooley
- Department of Medicine, Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Simone H J van den Elsen
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Department of Clinical Pharmacy, Hospital Group Twente, Almelo, Hengelo, the Netherlands
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Charles A Peloquin
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan-Willem C Alffenaar
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. .,Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia. .,Westmead Hospital, Westmead, NSW, Australia. .,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia.
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15
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Alffenaar JWC, Gumbo T, Dooley KE, Peloquin CA, Mcilleron H, Zagorski A, Cirillo DM, Heysell SK, Silva DR, Migliori GB. Integrating Pharmacokinetics and Pharmacodynamics in Operational Research to End Tuberculosis. Clin Infect Dis 2021; 70:1774-1780. [PMID: 31560376 PMCID: PMC7146003 DOI: 10.1093/cid/ciz942] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 09/20/2019] [Indexed: 12/11/2022] Open
Abstract
Tuberculosis (TB) elimination requires innovative approaches. The new Global Tuberculosis Network (GTN) aims to conduct research on key unmet therapeutic and diagnostic needs in the field of TB elimination using multidisciplinary, multisectorial approaches. The TB Pharmacology section within the new GTN aims to detect and study the current knowledge gaps, test potential solutions using human pharmacokinetics informed through preclinical infection systems, and return those findings to the bedside. Moreover, this approach would allow prospective identification and validation of optimal shorter therapeutic durations with new regimens. Optimized treatment using available and repurposed drugs may have an increased impact when prioritizing a person-centered approach and acknowledge the importance of age, gender, comorbidities, and both social and programmatic environments. In this viewpoint article, we present an in-depth discussion on how TB pharmacology and the related strategies will contribute to TB elimination.
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Affiliation(s)
- Jan-Willem C Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead Hospital, Sydney, Australia
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Kelly E Dooley
- Division of Clinical Pharmacology, Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Helen Mcilleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Andre Zagorski
- Management Sciences for Health, Arlington, Virginia, USA
| | - Daniela M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
| | - Scott K Heysell
- University of Virginia, Division of Infectious Diseases and International Health, Charlottesville, Virginia, USA
| | - Denise Rossato Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giovanni Battista Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
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16
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Köser CU, Cirillo DM, Miotto P. How To Optimally Combine Genotypic and Phenotypic Drug Susceptibility Testing Methods for Pyrazinamide. Antimicrob Agents Chemother 2020; 64:e01003-20. [PMID: 32571824 PMCID: PMC7449218 DOI: 10.1128/aac.01003-20] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 06/17/2020] [Indexed: 11/20/2022] Open
Abstract
False-susceptible phenotypic drug-susceptibility testing (DST) results for pyrazinamide due to mutations with MICs close to the critical concentration (CC) confound the classification of pncA resistance mutations, leading to an underestimate of the specificity of genotypic DST. This could be minimized by basing treatment decisions on well-understood mutations and by adopting an area of technical uncertainty for phenotypic DST rather than only testing the CC, as is current practice for the Mycobacterium tuberculosis complex.
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Affiliation(s)
- Claudio U Köser
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Daniela M Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, IRCCS Ospedale San Raffaele, Milan, Italy
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17
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Ethionamide Population Pharmacokinetic Model and Target Attainment in Multidrug-Resistant Tuberculosis. Antimicrob Agents Chemother 2020; 64:AAC.00713-20. [PMID: 32631828 DOI: 10.1128/aac.00713-20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 06/30/2020] [Indexed: 01/07/2023] Open
Abstract
Ethionamide (ETA), an isonicotinic acid derivative, is part of the multidrug-resistant tuberculosis (MDR-TB) regimen. The current guidelines have deprioritized ETA because it is potentially less effective than other agents. Our aim was to develop a population pharmacokinetic (PK) model and simulate ETA dosing regimens in order to assess target attainment. This study included subjects from four different sites, including healthy volunteers and patients with MDR-TB. The TB centers included were two in the United States and one in Bangladesh. Patients who received ETA and had at least one drug concentration reported were included. The population PK model was developed, regimens with a total of 1,000 to 2,250 mg daily were simulated, and target attainment using published MICs and targets of 1.0-log kill and resistance suppression was assessed with the Pmetrics R package. We included 1,167 ethionamide concentrations from 94 subjects. The final population model was a one-compartment model with first-order elimination and absorption with a lag time. The mean (standard deviation [SD]) final population parameter estimates were as follows: absorption rate constant, 1.02 (1.11) h-1; elimination rate constant, 0.69 (0.46) h-1; volume of distribution, 104.16 (59.87) liters; lag time, 0.43 (0.32) h. A total daily dose of 1,500 mg or more was needed for ≥90% attainment of the 1.0-log kill target at a MIC of 1 mg/liter, and 2,250 mg/day led to 80% attainment of the resistance suppression target at a MIC of 0.5 mg/liter. In conclusion, we developed a population PK model and assessed target attainment for different ETA regimens. Patients may not be able to tolerate the doses needed to achieve the predefined targets supporting the current recommendations for ETA deprioritization.
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18
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Schön T, Köser CU, Werngren J, Viveiros M, Georghiou S, Kahlmeter G, Giske C, Maurer F, Lina G, Turnidge J, van Ingen J, Jankovic M, Goletti D, Cirillo DM, Santin M, Cambau E. What is the role of the EUCAST reference method for MIC testing of the Mycobacterium tuberculosis complex? Clin Microbiol Infect 2020; 26:1453-1455. [PMID: 32768492 DOI: 10.1016/j.cmi.2020.07.037] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/29/2020] [Accepted: 07/01/2020] [Indexed: 11/26/2022]
Affiliation(s)
- Thomas Schön
- Department of Clinical Microbiology and Infectious Diseases, Kalmar County Hospital, Linköping University, Linköping, Sweden
| | | | - Jim Werngren
- Public Health Agency of Sweden, Department of Microbiology, Unit of Laboratory Surveillance of Bacterial Pathogens, Solna, Sweden
| | - Miguel Viveiros
- Unit of Medical Microbiology of the Instituto de Higiene e Medicina Tropical and Global Health and Tropical Medicine from Universidade NOVA de Lisboa, Lisbon, Portugal
| | | | - Gunnar Kahlmeter
- EUCAST Development Laboratory, Växjö, Sweden; Department of Clinical Microbiology, Central Hospital, Växjö, Sweden
| | - Christian Giske
- EUCAST Development Laboratory, Växjö, Sweden; Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Florian Maurer
- National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Gerard Lina
- EUCAST Development Laboratory, Växjö, Sweden; CIRI, Centre International de Recherche en Infectiologie, Université Lyon 1, Ecole Normale Supérieure de Lyon, France; Centre National de Référence des Staphylocoques, Institut des Agent infectieux, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - John Turnidge
- EUCAST Development Laboratory, Växjö, Sweden; Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Jakko van Ingen
- Department of Medical Microbiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Mateja Jankovic
- University of Zagreb, School of Medicine University Hospital Centre Zagreb, Clinic for Respiratory Diseases, Zagreb, Croatia
| | - Delia Goletti
- Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani" IRCCS, Department of Epidemiology and Preclinical Research, Rome, Italy
| | | | - Miguel Santin
- Department of Infectious Diseases, Bellvitge University Hospital-IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Emmanuelle Cambau
- APHP-GHU Nord site Bichat, Service de Mycobactériologie Spécialisée et de Référence, Laboratoire Associé du Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France; Université de Paris, INSERM, IAME UMR1137, Paris, France.
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19
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Merker M, Kohl TA, Barilar I, Andres S, Fowler PW, Chryssanthou E, Ängeby K, Jureen P, Moradigaravand D, Parkhill J, Peacock SJ, Schön T, Maurer FP, Walker T, Köser C, Niemann S. Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex. Genome Med 2020; 12:27. [PMID: 32143680 PMCID: PMC7060619 DOI: 10.1186/s13073-020-00726-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 02/25/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND A comprehensive understanding of the pre-existing genetic variation in genes associated with antibiotic resistance in the Mycobacterium tuberculosis complex (MTBC) is needed to accurately interpret whole-genome sequencing data for genotypic drug susceptibility testing (DST). METHODS We investigated mutations in 92 genes implicated in resistance to 21 anti-tuberculosis drugs using the genomes of 405 phylogenetically diverse MTBC strains. The role of phylogenetically informative mutations was assessed by routine phenotypic DST data for the first-line drugs isoniazid, rifampicin, ethambutol, and pyrazinamide from a separate collection of over 7000 clinical strains. Selected mutations/strains were further investigated by minimum inhibitory concentration (MIC) testing. RESULTS Out of 547 phylogenetically informative mutations identified, 138 were classified as not correlating with resistance to first-line drugs. MIC testing did not reveal a discernible impact of a Rv1979c deletion shared by M. africanum lineage 5 strains on resistance to clofazimine. Finally, we found molecular evidence that some MTBC subgroups may be hyper-susceptible to bedaquiline and clofazimine by different loss-of-function mutations affecting a drug efflux pump subunit (MmpL5). CONCLUSIONS Our findings underline that the genetic diversity in MTBC has to be studied more systematically to inform the design of clinical trials and to define sound epidemiologic cut-off values (ECOFFs) for new and repurposed anti-tuberculosis drugs. In that regard, our comprehensive variant catalogue provides a solid basis for the interpretation of mutations in genotypic as well as in phenotypic DST assays.
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Affiliation(s)
- Matthias Merker
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Parkallee 1, 23845, Borstel, Germany.
| | - Thomas A Kohl
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Parkallee 1, 23845, Borstel, Germany
| | - Ivan Barilar
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Parkallee 1, 23845, Borstel, Germany
| | - Sönke Andres
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Philip W Fowler
- Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Erja Chryssanthou
- Department of Clinical Microbiology, Karolinska University Hospital, Solna, Stockholm, Sweden
- Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Kristian Ängeby
- Department of Clinical Science and Education, Emergency Medicine, Stockholm South General Hospital, Karolinska Institute, Stockholm, Sweden
| | | | - Danesh Moradigaravand
- Center for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Thomas Schön
- Department of Infectious Diseases and Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden
- Department of Clinical and Experimental Medicine, Division of Medical Microbiology, Linköping University, Linköping, Sweden
| | - Florian P Maurer
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
- Institute of Medical Microbiology, Virology and Hospital Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Timothy Walker
- Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Claudio Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Stefan Niemann
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Parkallee 1, 23845, Borstel, Germany
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20
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Isoniazid Resistance in Mycobacterium tuberculosis Is a Heterogeneous Phenotype Composed of Overlapping MIC Distributions with Different Underlying Resistance Mechanisms. Antimicrob Agents Chemother 2019; 63:AAC.00092-19. [PMID: 31010866 PMCID: PMC6591585 DOI: 10.1128/aac.00092-19] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 03/28/2019] [Indexed: 12/22/2022] Open
Abstract
MIC testing using the Bactec mycobacteria growth indicator tube system 960 of 70 phylogenetically diverse, isoniazid-resistant clinical strains of Mycobacterium tuberculosis revealed a complex pattern of overlapping MIC distributions. Whole-genome sequencing explained most of the levels of resistance observed. MIC testing using the Bactec mycobacteria growth indicator tube system 960 of 70 phylogenetically diverse, isoniazid-resistant clinical strains of Mycobacterium tuberculosis revealed a complex pattern of overlapping MIC distributions. Whole-genome sequencing explained most of the levels of resistance observed. The MIC distribution of strains with only inhA promoter mutations was split by the current concentration endorsed by the Clinical and Laboratory Standards Institute to detect low-level resistance to isoniazid and is, consequently, likely not optimally set.
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21
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'Those who cannot remember the past are condemned to repeat it': Drug-susceptibility testing for bedaquiline and delamanid. Int J Infect Dis 2019; 80S:S32-S35. [PMID: 30818049 DOI: 10.1016/j.ijid.2019.02.027] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 02/18/2019] [Accepted: 02/20/2019] [Indexed: 11/22/2022] Open
Abstract
Despite being fundamental to all treatment decisions, the breakpoints that define susceptibility and resistance to conventional anti-tuberculosis (TB) drugs were traditionally defined based on expert opinion as opposed to modern microbiological principles. As a result, the breakpoints for several key drugs (i.e. amikacin, levofloxacin, and moxifloxacin) were too high, resulting in the systematic misclassification of a proportion of resistant strains as susceptible. Moreover, a recent systematic review of clinical outcome data prompted the World Health Organization (WHO) to make significant changes to its treatment guidelines. For example, capreomycin and kanamycin are no longer recommended for TB treatment because their use correlates with worse clinical outcomes. This history notwithstanding, robust breakpoints still do not exist for bedaquiline and delamanid six years after their approval. This was compounded by the fact that access to both agents for drug-susceptibility testing had initially been restricted. It is incumbent upon the European Medicines Agency, the United States Food and Drug Administration, and WHO to ensure that drug developers generate the necessary data to set breakpoints as a prerequisite for the approval of new agents.
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