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Bhalla N, Nanda RK. Pangenome-wide association study reveals the selective absence of CRISPR genes (Rv2816c-19c) in drug-resistant Mycobacterium tuberculosis. Microbiol Spectr 2024; 12:e0052724. [PMID: 38916315 PMCID: PMC11302280 DOI: 10.1128/spectrum.00527-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 05/31/2024] [Indexed: 06/26/2024] Open
Abstract
The presence of intermittently dispersed insertion sequences and transposases in the Mycobacterium tuberculosis (Mtb) genome makes intra-genome recombination events inevitable. Understanding their effect on the gene repertoires (GR), which may contribute to the development of drug-resistant Mtb, is critical. In this study, publicly available WGS data of clinical Mtb isolates (endemic region n = 2,601; non-endemic region n = 1,130) were de novo assembled, filtered, scaffolded into assemblies, and functionally annotated. Out of 2,601 Mtb WGS data sets from endemic regions, 2,184 (drug resistant/sensitive: 1,386/798) qualified as high quality. We identified 3,784 core genes, 123 softcore genes, 224 shell genes, and 762 cloud genes in the pangenome of Mtb clinical isolates from endemic regions. Sets of 33 and 39 genes showed positive and negative associations (P < 0.01) with drug resistance status, respectively. Gene ontology clustering showed compromised immunity to phages and impaired DNA repair in drug-resistant Mtb clinical isolates compared to the sensitive ones. Multidrug efflux pump repressor genes (Rv3830c and Rv3855c) and CRISPR genes (Rv2816c-19c) were absent in the drug-resistant Mtb. A separate WGS data analysis of drug-resistant Mtb clinical isolates from the Netherlands (n = 1130) also showed the absence of CRISPR genes (Rv2816c-17c). This study highlights the role of CRISPR genes in drug resistance development in Mtb clinical isolates and helps in understanding its evolutionary trajectory and as useful targets for diagnostics development.IMPORTANCEThe results from the present Pan-GWAS study comparing gene sets in drug-resistant and drug-sensitive Mtb clinical isolates revealed intricate presence-absence patterns of genes encoding DNA-binding proteins having gene regulatory as well as DNA modification and DNA repair roles. Apart from the genes with known functions, some uncharacterized and hypothetical genes that seem to have a potential role in drug resistance development in Mtb were identified. We have been able to extrapolate many findings of the present study with the existing literature on the molecular aspects of drug-resistant Mtb, further strengthening the relevance of the results presented in this study.
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Affiliation(s)
- Nikhil Bhalla
- Translational Health Group, International Center of Genetic Engineering and Biotechnology, New Delhi, India
| | - Ranjan Kumar Nanda
- Translational Health Group, International Center of Genetic Engineering and Biotechnology, New Delhi, India
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Mousavi-Sagharchi SMA, Afrazeh E, Seyyedian-Nikjeh SF, Meskini M, Doroud D, Siadat SD. New insight in molecular detection of Mycobacterium tuberculosis. AMB Express 2024; 14:74. [PMID: 38907086 PMCID: PMC11192714 DOI: 10.1186/s13568-024-01730-3] [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: 11/29/2023] [Accepted: 06/06/2024] [Indexed: 06/23/2024] Open
Abstract
Mycobacterium tuberculosis, the causative agent of tuberculosis, is a pathogenic bacterium that has claimed millions of lives since the Middle Ages. According to the World Health Organization's report, tuberculosis ranks among the ten deadliest diseases worldwide. The presence of an extensive array of genes and diverse proteins within the cellular structure of this bacterium has provided us with a potent tool for diagnosis. While the culture method remains the gold standard for tuberculosis diagnosis, it is possible that molecular diagnostic methods, emphasis on the identification of mutation genes (e.g., rpoB and gyrA) and single nucleotide polymorphisms, could offer a safe and reliable alternative. Over the past few decades, as our understanding of molecular genetics has expanded, methods have been developed based on gene expansion and detection. These methods typically commence with DNA amplification through nucleic acid targeted techniques such as polymerase chain reaction. Various molecular compounds and diverse approaches have been employed in molecular assays. In this review, we endeavor to provide an overview of molecular assays for the diagnosis of tuberculosis with their properties (utilization, challenges, and functions). The ultimate goal is to explore the potential of replacing traditional bacterial methods with these advanced molecular diagnostic techniques.
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Affiliation(s)
| | - Elina Afrazeh
- Department of Marine Biology, Faculty of Marine Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran
| | | | - Maryam Meskini
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
- Department of Genetics, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, 9301, South Africa.
- Student Research Committee, Pasteur Institute of Iran, Tehran, Iran.
| | - Delaram Doroud
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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Timsit S, Armand-Lefèvre L, Le Goff J, Salmona M. The clinical and epidemiological impacts of whole genomic sequencing on bacterial and virological agents. Infect Dis Now 2024; 54:104844. [PMID: 38101516 DOI: 10.1016/j.idnow.2023.104844] [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: 11/29/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023]
Abstract
Whole Genome Sequencing (WGS) is a molecular biology tool consisting in the sequencing of the entire genome of a given organism. Due to its ability to provide the finest available resolution of bacterial and virological genetics, it is used at several levels in the field of infectiology. On an individual scale and through application of a single technique, it enables the typological identification and characterization of strains, the characterization of plasmids, and enhanced search for resistance genes and virulence factors. On a collective scale, it enables the characterization of strains and the determination of phylogenetic links between different microorganisms during community outbreaks and healthcare-associated epidemics. The information provided by WGS enables real-time monitoring of strain-level epidemiology on a worldwide scale, and facilitates surveillance of the resistance dissemination and the introduction or emergence of pathogenic variants in humans or their environment. There are several possible approaches to completion of an entire genome. The choice of one method rather than another is essentially dictated by the matrix, either a clinical sample or a culture isolate, and the clinical objective. WGS is an advanced technology that remains costly despite a gradual decrease in its expenses, potentially hindering its implementation in certain laboratories and thus its use in routine microbiology. Even though WGS is making steady inroads as a reference method, efforts remain needed in view of so harmonizing its interpretations and decreasing the time to generation of conclusive results.
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Affiliation(s)
- Sarah Timsit
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; Service de Bactériologie, Hôpital Bichat-Claude Bernard, APHP, Paris, France
| | - Laurence Armand-Lefèvre
- Service de Bactériologie, Hôpital Bichat-Claude Bernard, APHP, Paris, France; IAME UMR 1137, INSERM, Université Paris Cité, Paris, France
| | - Jérôme Le Goff
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; INSERM U976, Insight Team, Université Paris Cité, Paris, France
| | - Maud Salmona
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; INSERM U976, Insight Team, Université Paris Cité, Paris, France.
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García-Marín AM, Cancino-Muñoz I, Torres-Puente M, Villamayor LM, Borrás R, Borrás-Máñez M, Bosque M, Camarena JJ, Colomer-Roig E, Colomina J, Escribano I, Esparcia-Rodríguez O, Gil-Brusola A, Gimeno C, Gimeno-Gascón A, Gomila-Sard B, González-Granda D, Gonzalo-Jiménez N, Guna-Serrano MR, López-Hontangas JL, Martín-González C, Moreno-Muñoz R, Navarro D, Navarro M, Orta N, Pérez E, Prat J, Rodríguez JC, Ruiz-García MM, Vanaclocha H, González-Candelas F, Furió V, Comas I. Role of the first WHO mutation catalogue in the diagnosis of antibiotic resistance in Mycobacterium tuberculosis in the Valencia Region, Spain: a retrospective genomic analysis. THE LANCET. MICROBE 2024; 5:e43-e51. [PMID: 38061383 PMCID: PMC10790317 DOI: 10.1016/s2666-5247(23)00252-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 05/13/2023] [Accepted: 08/04/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND In June, 2021, WHO published the most complete catalogue to date of resistance-conferring mutations in Mycobacterium tuberculosis. Here, we aimed to assess the performance of genome-based antimicrobial resistance prediction using the catalogue and its potential for improving diagnostics in a real low-burden setting. METHODS In this retrospective population-based genomic study M tuberculosis isolates were collected from 25 clinical laboratories in the low-burden setting of the Valencia Region, Spain. Culture-positive tuberculosis cases reported by regional public health authorities between Jan 1, 2014, and Dec 31, 2016, were included. The drug resistance profiles of these isolates were predicted by the genomic identification, via whole-genome sequencing (WGS), of the high-confidence resistance-causing variants included in the catalogue and compared with the phenotype. We determined the minimum inhibitory concentration (MIC) of the isolates with discordant resistance profiles using the resazurin microtitre assay. FINDINGS WGS was performed on 785 M tuberculosis complex culture-positive isolates, and the WGS resistance prediction sensitivities were: 85·4% (95% CI 70·8-94·4) for isoniazid, 73·3% (44·9-92·2) for rifampicin, 50·0% (21·1-78·9) for ethambutol, and 57·1% (34·0-78·2) for pyrazinamide; all specificities were more than 99·6%. Sensitivity values were lower than previously reported, but the overall pan-susceptibility accuracy was 96·4%. Genotypic analysis revealed that four phenotypically susceptible isolates carried mutations (rpoB Leu430Pro and rpoB Ile491Phe for rifampicin and fabG1 Leu203Leu for isoniazid) known to give borderline resistance in standard phenotypic tests. Additionally, we identified three putative resistance-associated mutations (inhA Ser94Ala, katG Leu48Pro, and katG Gly273Arg for isoniazid) in samples with substantially higher MICs than those of susceptible isolates. Combining both genomic and phenotypic data, in accordance with the WHO diagnostic guidelines, we could detect two new multidrug-resistant cases. Additionally, we detected 11 (1·6%) of 706 isolates to be monoresistant to fluoroquinolone, which had been previously undetected. INTERPRETATION We showed that the WHO catalogue enables the detection of resistant cases missed in phenotypic testing in a low-burden region, thus allowing for better patient-tailored treatment. We also identified mutations not included in the catalogue, relevant at the local level. Evidence from this study, together with future updates of the catalogue, will probably lead in the future to the partial replacement of culture testing with WGS-based drug susceptibility testing in our setting. FUNDING European Research Council and the Spanish Ministerio de Ciencia.
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Affiliation(s)
- Ana María García-Marín
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia, Valencia, Spain; Joint Research Unit Infección y Salud Pública, FISABIO-University of Valencia, Institute for Integrative Systems Biology, Valencia, Spain
| | - Irving Cancino-Muñoz
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia, Valencia, Spain; Joint Research Unit Infección y Salud Pública, FISABIO-University of Valencia, Institute for Integrative Systems Biology, Valencia, Spain
| | | | | | - Rafael Borrás
- Microbiology Service, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - María Borrás-Máñez
- Microbiology and Parasitology Service, Hospital Universitario de La Ribera, Alzira, Spain
| | | | - Juan J Camarena
- Microbiology Service, Hospital Universitario Dr Peset, Valencia, Spain
| | - Ester Colomer-Roig
- FISABIO Public Health, Valencia, Spain; Microbiology Service, Hospital Universitario Dr Peset, Valencia, Spain
| | - Javier Colomina
- Microbiology Service, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Isabel Escribano
- Microbiology Laboratory, Hospital Virgen de los Lirios, Alcoy, Spain
| | | | - Ana Gil-Brusola
- Microbiology Service, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | - Concepción Gimeno
- Microbiology Service, Hospital General Universitario de Valencia, Valencia, Spain
| | | | - Bárbara Gomila-Sard
- Microbiology Service, Hospital General Universitario de Castellón, Castellón, Spain
| | | | | | | | | | - Coral Martín-González
- Microbiology Service, Hospital Universitario de San Juan de Alicante, Alicante, Spain
| | - Rosario Moreno-Muñoz
- Microbiology Service, Hospital General Universitario de Castellón, Castellón, Spain
| | - David Navarro
- Microbiology Service, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - María Navarro
- Microbiology Service, Hospital de la Vega Baixa, Orihuela, Spain
| | - Nieves Orta
- Microbiology Service, Hospital Francesc de Borja, Gandía, Spain
| | - Elvira Pérez
- Subdirección General de Epidemiología y Vigilancia de la Salud y Sanidad Ambiental de Valencia, Valencia, Spain
| | - Josep Prat
- Microbiology Service, Hospital de Sagunto, Sagunto, Spain
| | | | | | - Hermelinda Vanaclocha
- Subdirección General de Epidemiología y Vigilancia de la Salud y Sanidad Ambiental de Valencia, Valencia, Spain
| | - Fernando González-Candelas
- Joint Research Unit Infección y Salud Pública, FISABIO-University of Valencia, Institute for Integrative Systems Biology, Valencia, Spain; CIBER of Epidemiology and Public Health, Madrid, Spain
| | - Victoria Furió
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia, Valencia, Spain.
| | - Iñaki Comas
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia, Valencia, Spain; CIBER of Epidemiology and Public Health, Madrid, Spain
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5
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Mok S, Roycroft E, Flanagan PR, Wagener J, Fitzgibbon MM. Investigation of genomic mutations and their association with phenotypic resistance to new and repurposed drugs in Mycobacterium tuberculosis complex clinical isolates. J Antimicrob Chemother 2023; 78:2637-2644. [PMID: 37740935 PMCID: PMC10683940 DOI: 10.1093/jac/dkad252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/24/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND WGS has the potential to detect resistance-associated mutations and guide treatment of MDR TB. However, the knowledge base to confidently interpret mutations associated with the new and repurposed drugs is sparse, and phenotypic drug susceptibility testing is required to detect resistance. METHODS We screened 900 Mycobacterium tuberculosis complex genomes from Ireland, a low TB incidence country, for mutations in 13 candidate genes and assessed their association with phenotypic resistance to bedaquiline, clofazimine, linezolid, delamanid and pretomanid. RESULTS We identified a large diversity of mutations in the candidate genes of 195 clinical isolates, with very few isolates associated with phenotypic resistance to bedaquiline (n = 4), delamanid (n = 4) and pretomanid (n = 2). We identified bedaquiline resistance among two drug-susceptible TB isolates that harboured mutations in Rv0678. Bedaquiline resistance was also identified in two MDR-TB isolates harbouring Met146Thr in Rv0678, which dated back to 2007, prior to the introduction of bedaquiline. High-level delamanid resistance was observed in two isolates with deletions in ddn, which were also resistant to pretomanid. Delamanid resistance was detected in two further isolates that harboured mutations in fbiA, but did not show cross-resistance to pretomanid. All isolates were susceptible to linezolid and clofazimine, and no mutations found were associated with resistance. CONCLUSIONS More studies that correlate genotypic and phenotypic drug susceptibility data are needed to increase the knowledge base of mutations associated with resistance, in particular for pretomanid. Overall, this study contributes to the development of future mutation catalogues for M. tuberculosis complex isolates.
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Affiliation(s)
- Simone Mok
- Irish Mycobacteria Reference Laboratory, St James’s Hospital, Dublin, Ireland
- Department of Clinical Microbiology, School of Medicine, Trinity College Dublin, the University of Dublin, St James’s Hospital Campus, Dublin, Ireland
| | - Emma Roycroft
- Irish Mycobacteria Reference Laboratory, St James’s Hospital, Dublin, Ireland
- Department of Clinical Microbiology, School of Medicine, Trinity College Dublin, the University of Dublin, St James’s Hospital Campus, Dublin, Ireland
| | - Peter R Flanagan
- Irish Mycobacteria Reference Laboratory, St James’s Hospital, Dublin, Ireland
- Department of Clinical Microbiology, School of Medicine, Trinity College Dublin, the University of Dublin, St James’s Hospital Campus, Dublin, Ireland
| | - Johannes Wagener
- Irish Mycobacteria Reference Laboratory, St James’s Hospital, Dublin, Ireland
- Department of Clinical Microbiology, School of Medicine, Trinity College Dublin, the University of Dublin, St James’s Hospital Campus, Dublin, Ireland
| | - Margaret M Fitzgibbon
- Irish Mycobacteria Reference Laboratory, St James’s Hospital, Dublin, Ireland
- Department of Clinical Microbiology, School of Medicine, Trinity College Dublin, the University of Dublin, St James’s Hospital Campus, Dublin, Ireland
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Rao M, Wollenberg K, Harris M, Kulavalli S, Thomas L, Chawla K, Shenoy VP, Varma M, Saravu K, Hande HM, Shanthigrama Vasudeva CS, Jeffrey B, Gabrielian A, Rosenthal A. Lineage classification and antitubercular drug resistance surveillance of Mycobacterium tuberculosis by whole-genome sequencing in Southern India. Microbiol Spectr 2023; 11:e0453122. [PMID: 37671895 PMCID: PMC10580826 DOI: 10.1128/spectrum.04531-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 07/03/2023] [Indexed: 09/07/2023] Open
Abstract
IMPORTANCE Studies mapping genetic heterogeneity of clinical isolates of M. tuberculosis for determining their strain lineage and drug resistance by whole-genome sequencing are limited in high tuberculosis burden settings. We carried out whole-genome sequencing of 242 M. tuberculosis isolates from drug-sensitive and drug-resistant tuberculosis patients, identified and collected as part of the TB Portals Program, to have a comprehensive insight into the genetic diversity of M. tuberculosis in Southern India. We report several genetic variations in M. tuberculosis that may confer resistance to antitubercular drugs. Further wide-scale efforts are required to fully characterize M. tuberculosis genetic diversity at a population level in high tuberculosis burden settings for providing precise tuberculosis treatment.
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Affiliation(s)
- Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kurt Wollenberg
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Harris
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Shrivathsa Kulavalli
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Levin Thomas
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kiran Chawla
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Vishnu Prasad Shenoy
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Muralidhar Varma
- Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kavitha Saravu
- Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - H. Manjunatha Hande
- Department of Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | | | - Brendan Jeffrey
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Andrei Gabrielian
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Alex Rosenthal
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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Dohál M, Dvořáková V, Šperková M, Pinková M, Spitaleri A, Rasmussen EM, Škereňová M, Krivošová M, Gondáš E, Porvazník I, Solovič I, Cirillo DM, Mokrý J. Resistance patterns and transmission of mono- and polyresistant TB: clinical impact of WGS. JAC Antimicrob Resist 2023; 5:dlad108. [PMID: 37799267 PMCID: PMC10549209 DOI: 10.1093/jacamr/dlad108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/19/2023] [Indexed: 10/07/2023] Open
Abstract
Objectives Rapidly diagnosing drug-resistant TB is crucial for improving treatment and transmission control. WGS is becoming increasingly accessible and has added value to the diagnosis and treatment of TB. The aim of the study was to perform WGS to determine the rate of false-positive results of phenotypic drug susceptibility testing (pDST) and characterize the molecular mechanisms of resistance and transmission of mono- and polyresistant Mycobacterium (M.) tuberculosis. Methods WGS was performed on 53 monoresistant and 25 polyresistant M. tuberculosis isolates characterized by pDST. Sequencing data were bioinformatically processed to infer mutations encoding resistance and determine the origin of resistance and phylogenetic relationship between isolates studied. Results The data showed the variable sensitivity and specificity of WGS in comparison with pDST as the gold standard: isoniazid 92.7% and 92.3%; streptomycin 41.9% and 100.0%; pyrazinamide 15% and 94.8%; and ethambutol 75.0% and 98.6%, respectively. We found novel mutations encoding resistance to streptomycin (in gidB) and pyrazinamide (in kefB). Most isolates belonged to lineage 4 (80.1%) and the overall clustering rate was 11.5%. We observed lineage-specific gene variations encoding resistance to streptomycin and pyrazinamide. Conclusions This study highlights the clinical potential of WGS in ruling out false-positive drug resistance following phenotypic or genetic drug testing, and recommend this technology together with the WHO catalogue in designing an optimal individualized treatment regimen and preventing the development of MDR TB. Our results suggest that resistance is primarily developed through spontaneous mutations or selective pressure.
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Affiliation(s)
- Matúš Dohál
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
| | - Věra Dvořáková
- National Reference Laboratory for Mycobacteria, National Institute of Public Health, Prague, Czech Republic
| | - Miluše Šperková
- National Reference Laboratory for Mycobacteria, National Institute of Public Health, Prague, Czech Republic
| | - Martina Pinková
- National Reference Laboratory for Mycobacteria, National Institute of Public Health, Prague, Czech Republic
| | - Andrea Spitaleri
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Erik Michael Rasmussen
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark
| | - Mária Škereňová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
- Department of Molecular Medicine, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
| | - Michaela Krivošová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
| | - Eduard Gondáš
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
| | - Igor Porvazník
- Department of Clinical Microbiology and Department of Pneumophthiology, National Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Vyšné Hágy, Slovakia
- Faculty of Health, Catholic University, Ružomberok, Slovakia
| | - Ivan Solovič
- Department of Clinical Microbiology and Department of Pneumophthiology, National Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Vyšné Hágy, Slovakia
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Juraj Mokrý
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia
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8
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Shea J, Halse TA, Modestil H, Kearns C, Fowler RC, Da Costa-Carter CA, Siemetzki-Kapoor U, Leisner M, Lapierre P, Kohlerschmidt D, Rowlinson MC, Escuyer V, Musser KA. Mycobacterium tuberculosis complex whole-genome sequencing in New York State: Implementation of a reduced phenotypic drug susceptibility testing algorithm. Tuberculosis (Edinb) 2023; 142:102380. [PMID: 37543009 DOI: 10.1016/j.tube.2023.102380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 08/07/2023]
Abstract
Whole-genome sequencing (WGS) can predict drug resistance and antimicrobial susceptibility in Mycobacterium tuberculosis complex (MTBC) and has shown promise in partially replacing culture-based phenotypic drug susceptibility testing (pDST). We performed a two-year side by side study comparing the prediction of drug resistance and antimicrobial susceptibility by WGS molecular DST (mDST) to pDST to determine resistance at the critical concentration by Mycobacterial Growth Indicator Tube (MGIT) and agar proportion testing. Negative predictive values of WGS results were consistently high for the first-line drugs: rifampin (99.9%), isoniazid (99.0%), pyrazinamide (98.5%), and ethambutol (99.8%); the rates of resistance to these drugs, among strains in our population, are 2.9%, 10.4%, 46.3%, and 2.3%, respectively. WGS results were available an average 8 days earlier than first-line MGIT pDST. Based on these findings, we implemented a new testing algorithm with an updated WGS workflow in which strains predicted pan-susceptible were no longer tested by pDST. This algorithm was applied to 1177 isolates between October 2018 and September 2020, eliminating pDST for 66.6% of samples and reducing pDST for an additional 22.0%. This algorithm change resulted in faster turnaround times and decreased cost while maintaining comprehensive antimicrobial susceptibility profiles of all culture-positive MTBC cases in New York.
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Affiliation(s)
- Joseph Shea
- Wadsworth Center, New York State Department of Health, Albany, NY, USA.
| | - Tanya A Halse
- Wadsworth Center, New York State Department of Health, Albany, NY, USA.
| | - Herns Modestil
- New York City Bureau of Tuberculosis Control, New York City, NY, USA.
| | - Cheryl Kearns
- New York State Department of Health, Albany, NY, USA.
| | - Randal C Fowler
- Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
| | - Cherry-Ann Da Costa-Carter
- Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
| | - Ulrike Siemetzki-Kapoor
- Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
| | - Melissa Leisner
- Wadsworth Center, New York State Department of Health, Albany, NY, USA.
| | - Pascal Lapierre
- Wadsworth Center, New York State Department of Health, Albany, NY, USA.
| | | | | | - Vincent Escuyer
- Wadsworth Center, New York State Department of Health, Albany, NY, USA.
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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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Chaiyachat P, Kaewseekhao B, Chaiprasert A, Kamolwat P, Nonghanphithak D, Phetcharaburanin J, Sirichoat A, Ong RTH, Faksri K. Metabolomic analysis of Mycobacterium tuberculosis reveals metabolic profiles for identification of drug-resistant tuberculosis. Sci Rep 2023; 13:8655. [PMID: 37244948 DOI: 10.1038/s41598-023-35882-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 05/25/2023] [Indexed: 05/29/2023] Open
Abstract
The detection of pre-extensively (pre-XDR) and extensively drug-resistant tuberculosis (XDR-TB) is challenging. Drug-susceptibility tests for some anti-TB drugs, especially ethambutol (ETH) and ethionamide (ETO), are problematic due to overlapping thresholds to differentiate between susceptible and resistant phenotypes. We aimed to identify possible metabolomic markers to detect Mycobacterium tuberculosis (Mtb) strains causing pre-XDR and XDR-TB. The metabolic patterns of ETH- and ETO-resistant Mtb isolates were also investigated. Metabolomics of 150 Mtb isolates (54 pre-XDR, 63 XDR-TB and 33 pan-susceptible; pan-S) were investigated. Metabolomics of ETH and ETO phenotypically resistant subgroups were analyzed using UHPLC-ESI-QTOF-MS/MS. Orthogonal partial least-squares discriminant analysis revealed distinct separation in all pairwise comparisons among groups. Two metabolites (meso-hydroxyheme and itaconic anhydride) were able to differentiate the pre-XDR and XDR-TB groups from the pan-S group with 100% sensitivity and 100% specificity. In comparisons of the ETH and ETO phenotypically resistant subsets, sets of increased (ETH = 15, ETO = 7) and decreased (ETH = 1, ETO = 6) metabolites specific for the resistance phenotype of each drug were found. We demonstrated the potential for metabolomics of Mtb to differentiate among types of DR-TB as well as between isolates that were phenotypically resistant to ETO and ETH. Thus, metabolomics might be further applied for DR-TB diagnosis and patient management.
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Affiliation(s)
- Pratchakan Chaiyachat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Benjawan Kaewseekhao
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Angkana Chaiprasert
- Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Phalin Kamolwat
- Bureau of Tuberculosis, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Ditthawat Nonghanphithak
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Jutarop Phetcharaburanin
- Department of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Auttawit Sirichoat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand.
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11
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Anthony RM, Tagliani E, Nikolayevskyy V, de Zwaan R, Mulder A, Kamst M, Ködmön C, van der Werf MJ, Cirillo D, van Soolingen D. Experiences from 4 Years of Organization of an External Quality Assessment for Mycobacterium tuberculosis Whole-Genome Sequencing in the European Union/European Economic Area. Microbiol Spectr 2023; 11:e0224422. [PMID: 36475728 PMCID: PMC9927412 DOI: 10.1128/spectrum.02244-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Here, we report the development and key features of the first external quality assessment (EQA) scheme for Mycobacterium tuberculosis whole-genome sequencing (WGS). The results of four rounds (2017 to 2020) of implementation within the European tuberculosis reference laboratories network (ERLTB-Net-2) are presented and discussed. EQA panels comprising 10 genomic DNAs were distributed to ERLTB-Net 2 laboratories volunteering to participate in this exercise. Since 2018, five FASTQ files were added to better assess the dry WGS processes, and in 2020, three of the five files were replaced by synthetic files (providing additional flexibility for the mutations included in the panels). Ten National tuberculosis reference laboratories participated in all four EQA rounds, and seven participated in at least one. High-confidence resistance mutations were correctly identified by all laboratories, but challenges remained with respect to the identification of mixed loci and interpretation of rare mutations. M. tuberculosis genotyping and clustering analysis was >90% accurate for pure samples with the main challenges being related to the analysis of mixed genotypes and DNA FASTQ files. The development and implementation of this WGS EQA scheme has contributed to the continuous improvement in performance of participating laboratories in M. tuberculosis WGS and data analysis. This scheme can serve as a model of comprehensive quality assessment for M. tuberculosis WGS that can be replicated in different settings worldwide. IMPORTANCE The wider availability of whole-genome sequencing (WGS) coupled to new developments in bioinformatic tools and databases to interpret Mycobacterium tuberculosis complex WGS data has accelerated the adoption of this method for the routine prediction of antimycobacterial drug resistance and genotyping, thus necessitating the establishment of a comprehensive external quality control system. Here, we report 4 years of development and results from such a panel.
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Affiliation(s)
- R. M. Anthony
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - E. Tagliani
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - V. Nikolayevskyy
- Department of Infectious Diseases, Imperial College London, London, United Kingdom
| | - R. de Zwaan
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - A. Mulder
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - M. Kamst
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - C. Ködmön
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - D. Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - D. van Soolingen
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
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12
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Zhao B, Liu C, Fan J, Ma A, He W, Hu Y, Zhao Y. Transmission and Drug Resistance Genotype of Multidrug-Resistant or Rifampicin-Resistant Mycobacterium tuberculosis in Chongqing, China. Microbiol Spectr 2022; 10:e0240521. [PMID: 36214695 PMCID: PMC9604020 DOI: 10.1128/spectrum.02405-21] [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: 11/30/2021] [Accepted: 08/29/2022] [Indexed: 01/04/2023] Open
Abstract
Multidrug-resistant or rifampicin-resistant tuberculosis (MDR/RR-TB) is a global barrier for the Stop TB plan. To identify risk factors for treatment outcome and cluster transmission of MDR/RR-TB, whole-genome sequencing (WGS) data of isolates from patients of the Chongqing Tuberculosis Control Institute were used for phylogenetic classifications, resistance predictions, and cluster analysis. A total of 223 MDR/RR-TB cases were recorded between 1 January 2018 and 31 December 2020. Elderly patients and those with lung cavitation are at increased risk of death due to MDR/RR-TB. A total of 187 MDR/RR strains were obtained from WGS data; 152 were classified as lineage 2 strains. Eighty (42.8%) strains differing by a distance of 12 or fewer single nucleotide polymorphisms were classified as 20 genomic clusters, indicating recent transmission. Patients infected with lineage 2 strains or those with occupations listed as "other" are significantly associated with a transmission cluster of MDR/RR-TB. Analysis of resistant mutations against first-line tuberculosis drugs found that 76 (95.0%) of all 80 strains had the same mutations within each cluster. A total of 55.0% (44 of 80) of the MDR/RR-TB strains accumulated additional drug resistance mutations along the transmission chain, especially against fluoroquinolones (63.6% [28 of 44]). Recent transmission of MDR/RR strains is driving the MDR/RR-TB epidemics, leading to the accumulation of more serious resistance along the transmission chains. IMPORTANCE The drug resistance molecular characteristics of MDR/RR-TB were elucidated by genome-wide analysis, and risk factors for death by MDR/RR-TB were identified in combination with patient information. Cluster characteristics of MDR/RR-TB in the region were analyzed by genome-wide analysis, and risk factors for cluster transmission (recent transmission) were analyzed. These analyses provide reference for the prevention and treatment of MDR/RR-TB in Chongqing.
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Affiliation(s)
- Bing Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Chunfa Liu
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Jiale Fan
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Aijing Ma
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Wencong He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Jiulongpo, Chongqing, China
| | - Yanlin Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
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13
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de Neeling AJ, Jonckers Nieboer LF, Mulder A, Mariman R, Anthony RM, van Soolingen D. Tracking Mycobacterium tuberculosis sequencing samples using unique spikes of random DNA. J Microbiol Methods 2022; 197:106482. [PMID: 35551970 DOI: 10.1016/j.mimet.2022.106482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/05/2022] [Accepted: 05/05/2022] [Indexed: 11/17/2022]
Abstract
In the Netherlands, local laboratories are involved in the primary diagnosis of tuberculosis. Positive Mycobacterium tuberculosis complex cultures are sent to the National Institute for Public Health and the Environment (RIVM) for species identification, epidemiological typing, and screening for resistance by Whole Genome Sequencing (WGS). Occasional sample-swaps and cross-contaminations are known to occur in the diagnostic procedures. Such errors may lead to incorrect diagnoses resulting in the unnecessary or sub-optimal treatment of patients. Internal controls throughout the process ideally allow the early detection of such mistakes.
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Affiliation(s)
- Albert J de Neeling
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Lucia F Jonckers Nieboer
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Arnout Mulder
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Rob Mariman
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Richard M Anthony
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Dick van Soolingen
- National Tuberculosis Reference Laboratory, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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14
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Wang Z, Sun R, Mu C, Wang C, Zhao H, Jiang L, Ju H, Dai W, Zhang F. Characterization of Fluoroquinolone-Resistant and Multidrug-Resistant Mycobacterium tuberculosis Isolates Using Whole-Genome Sequencing in Tianjin, China. Infect Drug Resist 2022; 15:1793-1803. [PMID: 35444430 PMCID: PMC9013706 DOI: 10.2147/idr.s361635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/02/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Methods Results Conclusion
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Affiliation(s)
- Zhirui Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Rui Sun
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Cheng Mu
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Chunhua Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hui Zhao
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Lina Jiang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hanfang Ju
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Wenxi Dai
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Fan Zhang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
- Correspondence: Fan Zhang, Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, No. 124, Chifeng Road, Heping District, Tianjin, 300041, People’s Republic of China, Tel +86-22-27124491, Fax +86-22-27117595, Email
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15
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Sodja E, Koren S, Toplak N, Truden S, Žolnir-Dovč M. Next-generation sequencing to characterize pyrazinamide resistance in Mycobacterium tuberculosis isolates from two Balkan countries. J Glob Antimicrob Resist 2021; 29:507-512. [PMID: 34818592 DOI: 10.1016/j.jgar.2021.09.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES Next-generation sequencing (NGS) provide a comprehensive analysis of the genetic alterations that are most commonly linked with pyrazinamide (PZA) resistance. There are no studies reporting molecular background of PZA resistance in TB isolates from Balkan Peninsula. We aimed to examine the feasibility of full-length analysis of a gene linked with PZA resistance, pncA, using Ion Torrent technology in comparison to phenotypic BACTEC MGIT 960 DST in clinical TB isolates from two countries of the Balkan Peninsula. METHODS Between 1996 and 2017, we retrospectively selected 61 TB isolates. To identify gene variants related to drug resistance in genomic DNA extracted from TB isolates, AmpliSeq libraries were generated automatically using the AmpliSeq™ Kit for Chef DL8 and the Ion AmpliSeq TB Research Panel. RESULTS Of all 61 TB isolates included, 56 TB were phenotypically resistant to any antibiotic. Among them, 38/56 (67.9%) TB isolates were phenotypically resistant to pyrazinamide and pncA mutations were detected in 33/38 cases (86.8%). A mutation in the pncA promoter region was the most prevalent genetic alteration, detected in eight TB isolates. Comparison of NGS to conventional BACTEC MGIT 960 DST revealed very strong agreement (90.2%) between the two methods in identifying PZA resistance, with high sensitivity (89.5%) and specificity (95.7%) for NGS. CONCLUSIONS Detection of PZA resistance using NGS seems to be a valuable tool for surveillance of TB drug resistance also in the Balkan Peninsula, with great potential to provide useful information at least one weak earlier than is possible with phenotypic DST.
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Affiliation(s)
- Eva Sodja
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia.
| | | | | | - Sara Truden
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia
| | - Manca Žolnir-Dovč
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia
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16
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Bagheri M, Pormohammad A, Fardsanei F, Yadegari A, Arshadi M, Deihim B, Hajikhani B, Turner RJ, Khalili F, Mousavi SMJ, Dadashi M, Goudarzi M, Dabiri H, Goudarzi H, Mirsaeidi M, Nasiri MJ. Diagnostic Accuracy of Pyrazinamide Susceptibility Testing in Mycobacterium tuberculosis: A Systematic Review with Meta-Analysis. Microb Drug Resist 2021; 28:87-98. [PMID: 34582723 DOI: 10.1089/mdr.2021.0048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction: Pyrazinamide (PZA) susceptibility testing plays a critical role in determining the appropriate treatment regimens for multidrug-resistant tuberculosis. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of sequencing PZA susceptibility tests against culture-based susceptibility testing methods as the reference standard. Methods: We searched the MEDLINE/PubMed, Embase, and Web of Science databases for the relevant records. The QUADAS-2 tool was used to assess the quality of the studies. Diagnostic accuracy measures (i.e., sensitivity and specificity) were pooled with a random-effects model. All statistical analyses were performed with Meta-DiSc (version 1.4, Cochrane Colloquium, Barcelona, Spain), STATA (version 14, Stata Corporation, College Station, TX), and RevMan (version 5.3, The Nordic Cochrane Centre, the Cochrane Collaboration, Copenhagen, Denmark) software. Results: A total of 72 articles, published between 2000 and 2019, comprising data for 8,701 isolates of Mycobacterium tuberculosis were included in the final analysis. The pooled sensitivity and specificity of the PZA sequencing test against all reference tests (the combination of BACTEC mycobacteria growth indicator tube 960 (MGIT 960), BACTEC 460, and proportion method) were 87% (95% CI: 85-88) and 94.7% (95% CI: 94-95). The positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and the area under the curve estimates were found to be 12.0 (95% CI: 9.0-16.0), 0.17 (95% CI: 0.13-0.21), 106 (95% CI: 71-158), and 96%, respectively. Deek's test result indicated a low likelihood for publication bias (p = 0.01). Conclusions: Our analysis indicated that PZA sequencing may be used in combination with conventional tests due to the advantage of the time to result and in scenarios where culture tests are not feasible. Further work to improve molecular tests would benefit from the availability of standardized reference standards and improvements to the methodology.
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Affiliation(s)
- Mohammad Bagheri
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Pormohammad
- Department of Biological Sciences, University of Calgary, Calgary, Canada
| | - Fatemeh Fardsanei
- Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Ali Yadegari
- School of Medicine, Mazandaran University of Medical Sciences, Mazandaran, Iran
| | - Maniya Arshadi
- Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Behnaz Deihim
- Department of Bacteriology and Virology, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran
| | - Bahareh Hajikhani
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ray J Turner
- Department of Biological Sciences, University of Calgary, Calgary, Canada
| | - Farima Khalili
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Masoud Dadashi
- Department of Microbiology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
| | - Mehdi Goudarzi
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Dabiri
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Goudarzi
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Mirsaeidi
- Division of Pulmonary and Critical Care, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL, USA
| | - Mohammad Javad Nasiri
- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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17
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Avsar K. Tuberkulose - Wann daran denken, wie diagnostizieren? CME (BERLIN, GERMANY) 2021; 18:9-19. [PMID: 34127916 PMCID: PMC8190733 DOI: 10.1007/s11298-021-2038-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Obwohl die Tuberkulose mithilfe von Antibiotika gut heilbar ist und die Zahlen in Deutschland wieder stetig rückläufig sind, stirbt rechnerisch alle 22 Sekunden auf der Welt ein Mensch an Tuberkulose, 95% davon in Entwicklungs- und Schwellenländern. Die WHO hat in ihrer End-Tuberkulose-Strategie das Ziel formuliert, im Vergleich zu 2015 die Zahl der Tuberkuloseerkrankungen pro 100.000 Einwohner bis 2035 weltweit um 90% und die Zahl der Todesfälle um 95% zu senken. Die Coronakrise hat hier zu großen Rückschritten geführt, fast zwei Drittel der Tuberkuloseprogramme weltweit sind unterbrochen worden. Damit ist in vielen Teilen der Welt die Erreichung dieser Ziele gefährdet und es wird sogar mit zunehmenden Fallzahlen in den nächsten Jahren gerechnet. Aber gerade die Tatsache, dass die Erkrankung bei uns seltener wird führt zu einer Zunahme der Dauer vom ersten Symptom bis zur Tuberkulosediagnose. Der vorliegende Artikel soll Ihnen eine Hilfestellung geben, wann die Tuberkulose in die Differenzialdiagnostik einzubeziehen ist und wie das Krankheitsbild diagnostiziert werden kann. Die Therapie, ihre häufigsten Nebenwirkungen und die Problematik resistenter Tuberkuloseformen werden ebenfalls kurz dargestellt.
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Affiliation(s)
- Korkut Avsar
- Asklepios Fachkliniken München-Gauting, Robert-Koch-Allee 2, 82131 Gauting, Germany
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18
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Gopie FA, Commiesie E, de Lange WCM, van Soolingen D, Vreden SGS, de Vries G. Should treatment of low-level mono-resistant tuberculosis be different? J Clin Tuberc Other Mycobact Dis 2021; 23:100241. [PMID: 34095547 PMCID: PMC8167424 DOI: 10.1016/j.jctube.2021.100241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- F A Gopie
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
| | - E Commiesie
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
| | - W C M de Lange
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
| | - D van Soolingen
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
| | - S G S Vreden
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
| | - G de Vries
- Anton de Kom University of Suriname, Faculty of Medical Sciences, Flustraat 4, United States
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Yang J, Zhang T, Xian X, Li Y, Wang R, Wang P, Zhang M, Wang J. Molecular Characteristics and Drug Resistance of Mycobacterium tuberculosis Isolate Circulating in Shaanxi Province, Northwestern China. Microb Drug Resist 2021; 27:1207-1217. [PMID: 33794134 DOI: 10.1089/mdr.2020.0496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Objective: Shaanxi is the most highly populated province with high burdens of tuberculosis in northwestern China. The aim of this study was to investigate the molecular characteristics and drug resistance of Mycobacterium tuberculosis isolates from Shaanxi province of China in 2018. Methods: Phenotypic drug susceptibility testing and spoligotyping methods were performed on 518 M. tuberculosis isolates; drug-resistant isolates were sequenced in 11 drug loci, including katG, inhA, oxyR-ahpC, rpoB, embB, rpsL, rrs1 (nucleotides 388-1084), gyrA, gyrB, rrs2 (nucleotides 1158-1674), and eis. Results: The prevalences of isoniazid, rifampicin, ethambutol, streptomycin, ofloxacin, and kanamycin resistance were 22.0%, 19.3%, 7.9%, 23.8%, 10.4%, and 3.3%, respectively. The Beijing family (82.8%) was the predominant genotype, followed by the T (9.3%), H (0.6%), CAS (0.4%), LAM (0.4%), and U (0.4%) families. The percentage of Beijing genotype in a central area (88.1%) was higher than in the south (77.3%) and the north area (80.1%) (p < 0.05), while the sex, age, and treatment history between Beijing and non-Beijing family were not statistically different. Mutation analysis found that the most prevalent mutations were katG315, rpoB531, embB306, rpsL43, gyrA94, and rrs1401; the Beijing family exhibited a high rate of isoniazid-resistant isolates carrying katG315 mutations (p < 0.05). Furthermore, compared with the phenotypic data, the sensitivities of isoniazid, rifampicin, ethambutol, streptomycin, ofloxacin, and kanamycin resistance by sequencing base on 11 loci were 85.1%, 94.0%, 53.7%, 74.8%, 77.8%, and 64.7%, respectively. Conclusions: Shaanxi has a serious epidemic of drug-resistant tuberculosis, Beijing family is the predominant genotype, and the distribution showed geographic diversity. The prevalence of Beijing genotypes has a tendency to promote the transmission of high-level isoniazid-resistant M. tuberculosis. Besides, the hot spot regions localized in the embB, rrs2, and eis gene appear not to serve as excellent biomarkers for predicting ethambutol and kanamycin resistance in Shaanxi.
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Affiliation(s)
- Jian Yang
- Department of Pathogenic Biology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China.,Clinical Laboratory and Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Tianhua Zhang
- Administration Office, Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Xiaoping Xian
- Administration Office, Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Yan Li
- Clinical Laboratory and Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Rui Wang
- Clinical Laboratory and Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Panting Wang
- Clinical Laboratory and Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Meng Zhang
- Clinical Laboratory and Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, China
| | - Junyang Wang
- Department of Pathogenic Biology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China
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Lam C, Martinez E, Crighton T, Furlong C, Donnan E, Marais BJ, Sintchenko V. Value of routine whole genome sequencing for Mycobacterium tuberculosis drug resistance detection. Int J Infect Dis 2021; 113 Suppl 1:S48-S54. [PMID: 33753222 DOI: 10.1016/j.ijid.2021.03.033] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/02/2021] [Accepted: 03/10/2021] [Indexed: 10/21/2022] Open
Abstract
Routine whole genome sequencing (WGS) of pathogens is becoming more feasible as sequencing costs decrease and access to benchtop sequencing equipment and bioinformatics pipelines increases. This study examined the added value gained from implementing routine WGS of all Mycobacterium tuberculosis isolates in New South Wales, Australia. Drug resistance markers inferred from WGS data were compared to commercial genotypic drug susceptibility testing (DST) assays and conventional phenotypic DST in all isolates sequenced between 2016 and 2019. Of the 1107 clinical M. tuberculosis isolates sequenced, 29 (2.6%) were multi-drug resistant (MDR); most belonged to Beijing (336; 30.4%) or East-African Indian (332; 30%) lineages. Compared with conventional phenotypic DST, WGS identified an additional 1% of isolates which were likely drug resistant, explained by mutations previously associated with treatment failure and mixed bacterial populations. However, WGS provided a 20% increase in drug resistance detection in comparison with commercial genotypic assays by identifying mutations outside of the classic resistance determining regions in rpoB, inhA, katG, pncA and embB genes. Gains in drug resistance detection were significant (p = 0.0137, paired t-test), but varied substantially for different phylogenetic lineages. In low incidence settings, routine WGS of M. tuberculosis provides better guidance for person-centered management of drug resistant tuberculosis than commercial genotypic assays.
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Affiliation(s)
- Connie Lam
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia.
| | - Elena Martinez
- NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia
| | - Taryn Crighton
- NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia
| | - Catriona Furlong
- New South Wales Tuberculosis Program, Health Protection NSW, Sydney, New South Wales, Australia
| | - Ellen Donnan
- New South Wales Tuberculosis Program, Health Protection NSW, Sydney, New South Wales, Australia
| | - Ben J Marais
- Marie Bashir Institute for Infectious Diseases and Biosecurity and Centre for Research Excellence in Tuberculosis (TB-CRE), The University of Sydney, Sydney, New South Wales, Australia; Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia; NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity and Centre for Research Excellence in Tuberculosis (TB-CRE), The University of Sydney, Sydney, New South Wales, Australia
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21
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Nonghanphithak D, Kaewprasert O, Chaiyachat P, Reechaipichitkul W, Chaiprasert A, Faksri K. Whole-genome sequence analysis and comparisons between drug-resistance mutations and minimum inhibitory concentrations of Mycobacterium tuberculosis isolates causing M/XDR-TB. PLoS One 2020; 15:e0244829. [PMID: 33382836 PMCID: PMC7775048 DOI: 10.1371/journal.pone.0244829] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/16/2020] [Indexed: 11/18/2022] Open
Abstract
Drug resistance (DR) remains a major challenge for tuberculosis (TB) control. Whole-genome sequencing (WGS) provides the highest genetic resolution for genotypic drug-susceptibility tests (DST). We compared DST profiles of 60 Mycobacterium tuberculosis isolates which were drug resistant according to agar proportion tests (one poly DR-TB, 34 multidrug-resistant TB and 25 extensively drug-resistant TB). We additionally performed minimum inhibitory concentration (MIC) tests using Sensititre MYCOTBI plates (MYCOTB) and a WGS-based DST. Agreement between WGS-based DST and MYCOTB was high for all drugs except ethambutol (65%) and ethionamide (62%). Isolates harboring the -15 c/t inhA promoter mutation had a significantly lower MIC for isoniazid than did isolates with the katG Ser315Thr mutation (p < 0.001). Similar patterns were seen for ethambutol (embB Gly406Asp vs. embB Met306Ile), streptomycin (gid Gly73Ala vs. rpsL Lys43Arg), moxifloxacin (gyrA Ala90Val vs. gyrA Asp94Gly) and rifabutin (rpoB Asp435Phe/Tyr/Val vs. rpoB Ser450Leu). For genotypic heteroresistance, isolates with lower proportion of mapped read tended to has lower MIC of anti-TB drugs than those with higher proportion. These results emphasize the high applicability of WGS for determination of DR-TB and the association of particular mutations with MIC levels.
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Affiliation(s)
- Ditthawat Nonghanphithak
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Orawee Kaewprasert
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Pratchakan Chaiyachat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Wipa Reechaipichitkul
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Angkana Chaiprasert
- Drug Resistant Tuberculosis Research Fund Laboratory, Research and Development Affairs, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
- * E-mail:
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Rivière E, Whitfield MG, Nelen J, Heupink TH, Van Rie A. Identifying isoniazid resistance markers to guide inclusion of high-dose isoniazid in tuberculosis treatment regimens. Clin Microbiol Infect 2020; 26:1332-1337. [PMID: 32653663 DOI: 10.1016/j.cmi.2020.07.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/26/2020] [Accepted: 07/01/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Effective use of antibiotics is critical to control the global tuberculosis pandemic. High-dose isoniazid (INH) can be effective in the presence of low-level resistance. We performed a systematic literature review to improve our understanding of the differential impact of genomic Mycobacterium tuberculosis (Mtb) variants on the level of INH resistance. The following online databases were searched: PubMed, Web of Science and Embase. Articles reporting on clinical Mtb isolates with linked genotypic and phenotypic data and reporting INH resistance levels were eligible for inclusion. METHODS All genomic regions reported in the eligible studies were included in the analysis, including: katG, inhA, ahpC, oxyR-ahpC, furA, fabG1, kasA, rv1592c, iniA, iniB, iniC, rv0340, rv2242 and nat. The level of INH resistance was determined by MIC: low-level resistance was defined as 0.1-0.4 μg/mL on liquid and 0.2-1.0 μg/mL on solid media, high-level resistance as >0.4μg/mL on liquid and >1.0 μg/mL on solid media. RESULTS A total of 1212 records were retrieved of which 46 were included. These 46 studies reported 1697 isolates of which 21% (n = 362) were INH susceptible, 17% (n = 287) had low-level, and 62% (n = 1048) high-level INH resistance. Overall, 24% (n = 402) of isolates were reported as wild type and 76% (n = 1295) had ≥1 relevant genetic variant. Among 1295 isolates with ≥1 variant, 78% (n = 1011) had a mutation in the katG gene. Of the 867 isolates with a katG mutation in codon 315, 93% (n = 810) had high-level INH resistance. In contrast, only 50% (n = 72) of the 144 isolates with a katG variant not in the 315-position had high-level resistance. Of the 284 isolates with ≥1 relevant genetic variant and wild type katG gene, 40% (n = 114) had high-level INH resistance. CONCLUSIONS Presence of a variant in the katG gene is a good marker of high-level INH resistance only if located in codon 315.
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Affiliation(s)
- E Rivière
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
| | - M G Whitfield
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - J Nelen
- Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - T H Heupink
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - A Van Rie
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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23
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Al-Mutairi NM, Ahmad S, Mokaddas EM. Molecular characterization of multidrug-resistant Mycobacterium tuberculosis (MDR-TB) isolates identifies local transmission of infection in Kuwait, a country with a low incidence of TB and MDR-TB. Eur J Med Res 2019; 24:38. [PMID: 31806020 PMCID: PMC6894303 DOI: 10.1186/s40001-019-0397-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/27/2019] [Indexed: 02/07/2023] Open
Abstract
Background Increasing incidence of multidrug-resistant Mycobacterium tuberculosis infections is hampering global tuberculosis control efforts. Kuwait is a low-tuberculosis-incidence country, and ~ 1% of M. tuberculosis strains are resistant to rifampicin and isoniazid (MDR-TB). This study detected mutations in seven genes predicting resistance to rifampicin, isoniazid, pyrazinamide, ethambutol and streptomycin in MDR-TB strains. Sequence data were combined with spoligotypes for detecting local transmission of MDR-TB in Kuwait. Methods Ninety-three MDR-TB strains isolated from 12 Kuwaiti and 81 expatriate patients and 50 pansusceptible strains were used. Phenotypic drug susceptibility was determined by MGIT 460 TB/960 system. Mutations conferring resistance to rifampicin, isoniazid, pyrazinamide, ethambutol and streptomycin were detected by genotype MTBDRplus assay and/or PCR sequencing of three rpoB regions, katG codon 315 (katG315) + inhA regulatory region, pncA, three embB regions and rpsL + rrs-500–900 regions. Spoligotyping kit was used, spoligotypes were identified by SITVIT2, and phylogenetic tree was constructed by using MIRU-VNTRplus software. Phylogenetic tree was also constructed from concatenated sequences by MEGA7 software. Additional PCR sequencing of gidB and rpsA was performed for cluster isolates. Results Pansusceptible isolates contained wild-type sequences. Mutations in rpoB and katG and/or inhA were detected in 93/93 and 92/93 MDR-TB strains, respectively. Mutations were also detected for pyrazinamide resistance, ethambutol resistance and streptomycin resistance in MDR-TB isolates in pncA, embB and rpsL + rrs, respectively. Spoligotyping identified 35 patterns with 18 isolates exhibiting unique patterns while 75 isolates grouped in 17 patterns. Beijing genotype was most common (32/93), and 11 isolates showed nine orphan patterns. Phylogenetic analysis of concatenated sequences showed unique patterns for 51 isolates while 42 isolates grouped in 16 clusters. Interestingly, 22 isolates in eight clusters by both methods were isolated from TB patients typically within a span of 2 years. Five of eight clusters were confirmed by additional gidB and rpsA sequence data. Conclusions Our study provides the first insight into molecular epidemiology of MDR-TB in Kuwait and identified several potential clusters of local transmission of MDR-TB involving 2–6 subjects which had escaped detection by routine surveillance studies. Prospective detection of resistance-conferring mutations can identify possible cases of local transmission of MDR-TB in low MDR-TB settings.
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Affiliation(s)
- Noura M Al-Mutairi
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait
| | - Suhail Ahmad
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait.
| | - Eiman M Mokaddas
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait
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24
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Spitaleri A, Ghodousi A, Miotto P, Cirillo DM. Whole genome sequencing in Mycobacterium tuberculosis. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:S197. [PMID: 31656776 DOI: 10.21037/atm.2019.07.28] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Andrea Spitaleri
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Arash Ghodousi
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
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