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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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Shi T, Shou F, He Y, Zhou K, Gao W, Nie X, Han M, Liao C, Li T. Whole genome sequencing of drug resistance Mycobacterium tuberculosis from extra-pulmonary sites. Life Sci Alliance 2023; 6:e202302076. [PMID: 37591723 PMCID: PMC10435967 DOI: 10.26508/lsa.202302076] [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: 04/05/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 08/19/2023] Open
Abstract
This study aimed to determinate characteristics of drug resistance Mycobacterium tuberculosis from patients with extra-pulmonary tuberculosis (EPTB). Patients were retrospectively studied from January 2020 to December 2021. All the isolates were cultured, tested drug susceptibility, and detected the gene mutation using whole genome sequencing. The correlations of whole genome sequencing, pattern of DR, patients' distribution, and transmission were analyzed. 111 DR-EPTB isolates included pre-XDR-TB (53.2%), MDR-TB (29.7%), and poly-DR-TB (12.6%). The resistant drugs were INH followed by RFP and SM. The genotypes of 111 strains were lineage 2 and lineage 4. KatG_p.Ser315Thr was main gene mutation for resistance to INH; rpsL_p.Lys43Arg for SM, rpoB_p.Ser450Leu for rifampicin, embB_p.Met306Val for ethambutol, gyrA_p.Asp94Gly for FQs, and pncA_p.Thr76Pro for PZA. The residence was a significant risk factor for cluster transmission by patients and phenotypic DR types of strains for lineage 2 transmission. In the local area of southwest China INH, rifampicin and SM were main drugs in patients with DR-EPTB. KatG_p.Ser315, rpoB_p.Ser450Leu, and rpsL_p.Lys43Arg were main gene mutations. Phenotypic DR types and residence were main risk of transmission.
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Affiliation(s)
- Tao Shi
- Department of Orthopedics, Tianjin First Central Hospital, Tianjin, China
| | - Fenyong Shou
- Department of Orthopedics, Tianjin First Central Hospital, Tianjin, China
| | - Ying He
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
| | - Kan Zhou
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
| | - Wenwan Gao
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
| | - Xiaoping Nie
- Medical Department, Chongqing Public Health Medical Center, Chongqing, China
| | - Mei Han
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
| | - Chuanyu Liao
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
| | - Tongxin Li
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, China
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3
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Cheng B, Behr MA, Howden BP, Cohen T, Lee RS. Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark. THE LANCET. MICROBE 2021; 2:e115-e129. [PMID: 33842904 PMCID: PMC8034592 DOI: 10.1016/s2666-5247(20)30201-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND Pathogen genomics have become increasingly important in infectious disease epidemiology and public health. The Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID) guidelines were developed to outline a minimum set of criteria that should be reported in genomic epidemiology studies to facilitate assessment of study quality. We evaluate such reporting practices, using tuberculosis as an example. METHODS For this systematic review, we initially searched MEDLINE, Embase Classic, and Embase on May 3, 2017, using the search terms "tuberculosis" and "genom* sequencing". We updated this initial search on April 23, 2019, and also included a search of bioRxiv at this time. We included studies in English, French, or Spanish that recruited patients with microbiologically confirmed tuberculosis and used whole genome sequencing for typing of strains. Non-human studies, conference abstracts, and literature reviews were excluded. For each included study, the number and proportion of fulfilled STROME-ID criteria were recorded by two reviewers. A comparison of the mean proportion of fulfilled STROME-ID criteria before and after publication of the STROME-ID guidelines (in 2014) was done using a two-tailed t test. Quasi-Poisson regression and tobit regression were used to examine associations between study characteristics and the number and proportion of fulfilled STROME-ID criteria. This study was registered with PROSPERO, CRD42017064395. FINDINGS 976 titles and abstracts were identified by our primary search, with an additional 16 studies identified in bioRxiv. 114 full texts (published between 2009 and 2019) were eligible for inclusion. The mean proportion of STROME-ID criteria fulfilled was 50% (SD 12; range 16-75). The proportion of criteria fulfilled was similar before and after STROME-ID publication (51% [SD 11] vs 46% [14], p=0·26). The number of criteria reported (among those applicable to all studies) was not associated with impact factor, h-index, country of affiliation of senior author, or sample size of isolates. Similarly, the proportion of criteria fulfilled was not associated with these characteristics, with the exception of a sample size of isolates of 277 or more (the highest quartile). In terms of reproducibility, 100 (88%) studies reported which bioinformatic tools were used, but only 33 (33%) reported corresponding version numbers. Sequencing data were available for 86 (75%) studies. INTERPRETATION The reporting of STROME-ID criteria in genomic epidemiology studies of tuberculosis between 2009 and 2019 was low, with implications for assessment of study quality. The considerable proportion of studies without bioinformatics version numbers or sequencing data available highlights a key concern for reproducibility.
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Affiliation(s)
- Brianna Cheng
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Marcel A Behr
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Benjamin P Howden
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | | | - Robyn S Lee
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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4
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Identification of a predominant genotype of Mycobacterium tuberculosis in Brazilian indigenous population. Sci Rep 2021; 11:1224. [PMID: 33441660 PMCID: PMC7806709 DOI: 10.1038/s41598-020-79621-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022] Open
Abstract
After nearly a century of vaccination and six decades of drug therapy, tuberculosis (TB) kills more people annually than any other infectious disease. Substantial challenges to disease eradication remain among vulnerable and underserved populations. The Guarani-Kaiowá people are an indigenous population in Paraguay and the Brazilian state of Mato Grosso do Sul. This community, marginalized in Brazilian society, experiences severe poverty. Like other South American indigenous populations, their TB prevalence is high, but the disease has remained largely unstudied in their communities. Herein, Mycobacterium tuberculosis isolates from local clinics were whole genome sequenced, and a population genetic framework was generated. Phylogenetics show M. tuberculosis isolates in the Guarani-Kaiowá people cluster away from selected reference strains, suggesting divergence. Most cluster in a single group, further characterized as M. tuberculosis sublineage 4.3.3. Closer analysis of SNPs showed numerous variants across the genome, including in drug resistance-associated genes, and with many unique changes fixed in each group. We report that local M. tuberculosis strains have acquired unique polymorphisms in the Guarani-Kaiowá people, and drug resistance characterization is urgently needed to inform public health to ensure proper care and avoid further evolution and spread of drug-resistant TB.
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Alcolea-Medina A, Fernandez MTC, Montiel N, García MPL, Sevilla CD, North N, Lirola MJM, Wilks M. An improved simple method for the identification of Mycobacteria by MALDI-TOF MS (Matrix-Assisted Laser Desorption- Ionization mass spectrometry). Sci Rep 2019; 9:20216. [PMID: 31882826 PMCID: PMC6934676 DOI: 10.1038/s41598-019-56604-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 12/06/2019] [Indexed: 12/30/2022] Open
Abstract
The aim of this study was to establish a simple method for the rapid identification of Mycobacteria species by MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass spectrometry) using the Bruker MALDI-TOF Biotyper system (Bruker Daltonik, Bremen, Germany). A multicentre, prospective, and single blind study was performed in three European Hospitals, two Spanish and one UK hospital from May to August 2018. The BD BACTEC MGIT (Becton Dickinson, Berks, UK) liquid culture system was used in all three centres for the growth of Mycobacteria. When signal positive, tubes were removed from the analyser and in addition to standard laboratory procedures were subcultured on blood agar plates for MALDI-TOF analysis. Plates were incubated aerobically for 1 to 7 days at 37 °C and inspected every day. Once any growth was visible, it was transferred to the steel target plate, overlaid with 1 μl of neat formic acid and 1 μl HCCA matrix (alpha hydroxyl 4 cinnamic acid), and analysed in a Bruker Biotyper MALDI-TOF. Results given by MALDI-TOF were compared with the reference methods used for identification in the different centres. At two Spanish hospitals, identification by MALDI-TOF was only attempted on presumptive non-tuberculosis mycobacteria (NTM) and the results were initially compared with the results obtained by a commercial reverse hybridisation assay, GenoType CM/AS (Hain Lifescience, Tübingen, Germany). At the UK Hospital, identification of any presumptive mycobacteria was attempted and compared with the results obtained by whole genome sequencing (WGS). Overall in 142/167 (85%) of cases the identifications obtained were concordant; all Mycobacterium tuberculosis (MTB) isolates 43/43 (100%), 57/76 (75%) of the rapid growing nontuberculous mycobacteria (NTM), and 42/48 (85%) slow growing NTM tested were identified correctly. We report a new, easy, cheap and quick method for isolation and identification of Mycobacterium spp. without the need for additional steps or equipment and this method is in routine used in all three centres.
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Affiliation(s)
- Adela Alcolea-Medina
- Microbiology, Division of Infection, Barts Health NHS Trust, 80 Newark St, E1 2ES, London, UK
| | - M T Cabezas Fernandez
- C.H.U. Torrecárdenas Almería, Calle Hermandad de Donantes de Sangre, s/n, 04009, Almería, Spain
| | - N Montiel
- A.S.H. Costa del Sol, Málaga A-7, Km 187, 29603, Marbella, Málaga, Spain
| | | | - C Delamo Sevilla
- C.H.U. Torrecárdenas Almería, Calle Hermandad de Donantes de Sangre, s/n, 04009, Almería, Spain
| | - Nathan North
- Microbiology, Division of Infection, Barts Health NHS Trust, 80 Newark St, E1 2ES, London, UK
| | - M J Martínez Lirola
- C.H.U. Torrecárdenas Almería, Calle Hermandad de Donantes de Sangre, s/n, 04009, Almería, Spain
| | - Mark Wilks
- Microbiology, Division of Infection, Barts Health NHS Trust, 80 Newark St, E1 2ES, London, UK. .,Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary, University of London, London, UK.
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Dlamini MT, Lessells R, Iketleng T, de Oliveira T. Whole genome sequencing for drug-resistant tuberculosis management in South Africa: What gaps would this address and what are the challenges to implementation? J Clin Tuberc Other Mycobact Dis 2019; 16:100115. [PMID: 31720436 PMCID: PMC6830177 DOI: 10.1016/j.jctube.2019.100115] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Global control of tuberculosis (TB) has been seriously impacted by the emergence and transmission of its drug-resistant forms. Delayed detection and incomplete characterisation of drug-resistant tuberculosis (DR-TB) contributes to morbidity and mortality, and to ongoing transmission of drug-resistant strains. Current culture-based and molecular diagnostic tools for TB present numerous disadvantages that could potentially lead to misdiagnosis, inappropriate treatment initiation and the amplification of drug resistance. The detection of drug-resistant tuberculosis (DR-TB) in South Africa relies on molecular diagnostic assays such as the Xpert MTB/RIF and line probe assays (MTBDRplus and MTBDRsl). However, these molecular assays are limited to detecting resistance to only a few first-line and second-line drugs. It is for this reason that next-generation sequencing (NGS) and bioinformatics pipelines have been developed for rapid detection of M. tuberculosis drug resistance, with the added advantage that sequence data could also have public health applications through understanding transmission patterns. This review highlights some of the challenges that are currently hampering the diagnosis and control of DR-TB in a high burden setting of the KwaZulu-Natal (KZN) province in South Africa. Shortfalls of current diagnostic techniques for DR-TB are discussed in detail and we also propose how these might be overcome with an accurate and rapid NGS system.
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Affiliation(s)
- Mlungisi Thabiso Dlamini
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
- Corresponding author at: KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), 1st Floor, K-RITH Tower Building, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa.
| | - Richard Lessells
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
| | - Thato Iketleng
- Botswana Harvard AIDS Institute Partnership (BHP), Private Bag BO 320, Gaborone, Botswana, South Africa
| | - Tulio de Oliveira
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa
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7
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Cohen KA, Manson AL, Desjardins CA, Abeel T, Earl AM. Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges. Genome Med 2019; 11:45. [PMID: 31345251 PMCID: PMC6657377 DOI: 10.1186/s13073-019-0660-8] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Tuberculosis (TB) is a global infectious threat that is intensified by an increasing incidence of highly drug-resistant disease. Whole-genome sequencing (WGS) studies of Mycobacterium tuberculosis, the causative agent of TB, have greatly increased our understanding of this pathogen. Since the first M. tuberculosis genome was published in 1998, WGS has provided a more complete account of the genomic features that cause resistance in populations of M. tuberculosis, has helped to fill gaps in our knowledge of how both classical and new antitubercular drugs work, and has identified specific mutations that allow M. tuberculosis to escape the effects of these drugs. WGS studies have also revealed how resistance evolves both within an individual patient and within patient populations, including the important roles of de novo acquisition of resistance and clonal spread. These findings have informed decisions about which drug-resistance mutations should be included on extended diagnostic panels. From its origins as a basic science technique, WGS of M. tuberculosis is becoming part of the modern clinical microbiology laboratory, promising rapid and improved detection of drug resistance, and detailed and real-time epidemiology of TB outbreaks. We review the successes and highlight the challenges that remain in applying WGS to improve the control of drug-resistant TB through monitoring its evolution and spread, and to inform more rapid and effective diagnostic and therapeutic strategies.
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Affiliation(s)
- Keira A Cohen
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, 21205, USA.
| | - Abigail L Manson
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Christopher A Desjardins
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Thomas Abeel
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
- Delft Bioinformatics Lab, Delft University of Technology, 2628, XE, Delft, The Netherlands
| | - Ashlee M Earl
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA.
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8
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Omar SV, Joseph L, Said HM, Ismail F, Ismail N, Gwala TL, Ismail NA. Whole genome sequencing for drug resistance determination in Mycobacterium tuberculosis. Afr J Lab Med 2019; 8:801. [PMID: 30863717 PMCID: PMC6407317 DOI: 10.4102/ajlm.v8i1.801] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 09/28/2018] [Indexed: 11/03/2022] Open
Abstract
South Africa remains challenged with a high tuberculosis burden accompanied by an increase in drug resistant cases. We assessed the use of the Illumina MiSeq, a next-generation sequencing platform for whole genome sequencing, followed by bioinformatic analysis using a commercial software package to determine resistance to selected drugs used for Mycobacterium tuberculosis treatment in our setting. Whole genome sequencing shows potential as a diagnostic platform for the detection of drug resistance in Mycobacterium tuberculosis with the provision of information for several drugs simultaneously.
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Affiliation(s)
- Shaheed V Omar
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Lavania Joseph
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Halima M Said
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.,Department of Medical Microbiology, University of the Free State, Bloemfontein, South Africa
| | - Farzana Ismail
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.,Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa
| | - Nabila Ismail
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Thabisile L Gwala
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Nazir A Ismail
- Centre for Tuberculosis, World Health Organization TB Supranational Reference Laboratory Network, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.,Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa
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Rehman A, Patrick WM, Lamont IL. Mechanisms of ciprofloxacin resistance in Pseudomonas aeruginosa: new approaches to an old problem. J Med Microbiol 2019; 68:1-10. [DOI: 10.1099/jmm.0.000873] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Affiliation(s)
- Attika Rehman
- 1Department of Biochemistry, University of Otago, New Zealand
| | - Wayne M. Patrick
- 1Department of Biochemistry, University of Otago, New Zealand
- 2School of Biological Sciences, Victoria University of Wellington, New Zealand
| | - Iain L. Lamont
- 1Department of Biochemistry, University of Otago, New Zealand
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10
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Perea Razo CA, Rodríguez Hernández E, Ponce SIR, Milián Suazo F, Robbe-Austerman S, Stuber T, Cantó Alarcón GJ. Molecular epidemiology of cattle tuberculosis in Mexico through whole-genome sequencing and spoligotyping. PLoS One 2018; 13:e0201981. [PMID: 30138365 PMCID: PMC6107157 DOI: 10.1371/journal.pone.0201981] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 07/25/2018] [Indexed: 12/27/2022] Open
Abstract
Mycobacterium bovis infection in cattle persists in Mexico, posing a threat to human health. Control of bovine tuberculosis, through the National Program Against Bovine Tuberculosis, has led to the decrease of disease prevalence in most of the country, except for high dairy production regions. Genotyping of M. bovis has been performed mainly by spoligotyping and variable number tandem repeats (VNTR), but higher resolution power can be useful for a finer definition of the spread of the disease. Whole genome sequencing and spoligotyping was performed for a set of 322 M. bovis isolates from different sources in Mexico: Baja California, Coahuila, Estado de Mexico, Guanajuato, Hidalgo, Jalisco, Queretaro and Veracruz, from dairy and beef cattle, as well as humans. Twelve main genetic clades were obtained through WGS and genetic diversity analysis. A clear differentiation of the Baja California isolates was seen as they clustered together exclusively. However, isolates from the central states showed no specific clustering whatsoever. Although WGS proves to have higher resolving power than spoligotyping, and since there was concordance between WGS and spoligotyping results, we consider that the latter is still an efficient and practical method for monitoring bovine tuberculosis in developing countries, where resources for higher technology are scarce.
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Affiliation(s)
| | - Elba Rodríguez Hernández
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Colón, Qro., México
| | - Sergio Iván Román Ponce
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Colón, Qro., México
| | - Feliciano Milián Suazo
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro, Qro., México
| | - Suelee Robbe-Austerman
- National Veterinary Services Laboratories, United States Department of Agriculture, University Blvd, Ames, Iowa, United States of America
| | - Tod Stuber
- National Veterinary Services Laboratories, United States Department of Agriculture, University Blvd, Ames, Iowa, United States of America
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11
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Wyllie DH, Davidson JA, Grace Smith E, Rathod P, Crook DW, Peto TEA, Robinson E, Walker T, Campbell C. A Quantitative Evaluation of MIRU-VNTR Typing Against Whole-Genome Sequencing for Identifying Mycobacterium tuberculosis Transmission: A Prospective Observational Cohort Study. EBioMedicine 2018; 34:122-130. [PMID: 30077721 PMCID: PMC6116353 DOI: 10.1016/j.ebiom.2018.07.019] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 07/13/2018] [Accepted: 07/15/2018] [Indexed: 12/24/2022] Open
Abstract
Background Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing is widely used in high-income countries to determine Mycobacterium tuberculosis relatedness. Whole-genome sequencing (WGS) is known to deliver greater specificity, but no quantitative prospective comparison has yet been undertaken. Methods We studied isolates from the English Midlands, sampled consecutively between 1 January 2012 and 31 December 2015. In addition to routinely performed MIRU-VNTR typing, DNA was extracted from liquid cultures and sequenced using Illumina technology. Demographic and epidemiological data for the relevant patients were extracted from the Enhanced Tuberculosis Surveillance system run by Public Health England. Closely related samples, defined using a threshold of five single nucleotide variants (SNVs), were compared to samples with identical MIRU-VNTR profiles, to samples from individuals with shared epidemiological risk factors, and to those with both characteristics. Findings 1999 patients were identified for whom at least one M. tuberculosis isolate had been MIRU-VNTR typed and sequenced. Comparing epidemiological risk factors with close genetic relatedness, only co-residence had a positive predictive value of over 5%. Excluding co-resident individuals, 18.6% of patients with identical MIRU-VNTR profiles were within 5 SNVs. Where patients also shared social risk factors and ethnic group, this rose to 48%. Only 8% of MIRU-VNTR linked pairs in lineage 1 were within 5 SNV, compared to 31% in lineage 4. Interpretation In the setting studied, this molecular epidemiological study shows MIRU-VNTR typing and epidemiological risk factors are poorly predictive of close genomic relatedness, assessed by SNV. MIRU-VNTR performance varies markedly by lineage. Funding Public Health England, Health Innovation Challenge Fund, NIHR Health Protection Research Unit Oxford, NIHR Oxford Biomedical Research Centre. M. tuberculosis relatedness was measured by MIRU-VNTR typing and single nucleotide variants (SNV). In consecutive isolates in England, only 20% of samples with identical MIRU-VNTR profiles were within 5 SNVs. MIRU-VNTR is more predictive of close relatedness in lineage 4 (Euro-American) lineages than in other lineages.
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Affiliation(s)
- David H Wyllie
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; Public Health England Academic Collaborating Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK.
| | - Jennifer A Davidson
- Tuberculosis Section, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
| | - E Grace Smith
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Priti Rathod
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Derrick W Crook
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK
| | - Tim E A Peto
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK
| | - Esther Robinson
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Tim Walker
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Colin Campbell
- Tuberculosis Section, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
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12
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Amlerova J, Bitar I, Hrabak J. Genotyping of Mycobacterium tuberculosis using whole genome sequencing. Folia Microbiol (Praha) 2018; 63:537-545. [PMID: 29550921 DOI: 10.1007/s12223-018-0599-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 03/08/2018] [Indexed: 11/26/2022]
Abstract
Tuberculosis (TB) is considered one of the most serious infectious diseases worldwide. Effective control of tuberculosis infection involves multiple steps, such as reliable detection, treatment, an epidemiological control as a part of case management, and further surveillance and monitoring of TB spread in the human population. Due to the accelerating advances in molecular biology, especially in DNA sequencing, in the past decade, the application of these methods has become crucial for TB evolution studies, differentiation of Mycobacterium tuberculosis genotypes, and their distribution. Currently, several molecular genetic methods are available. The oldest typing methods (e.g., IS6110-RFLP, spoligotyping, and MIRU-VNTR) can discover the chain of transmission to the patient. Currently, whole genome sequencing facilitates is furthermore able to identify the source of infection, the transmission trays among individuals sharing the same isolate, as well as determination of the TB evolution and its resistance to antituberculotic agents. It is obvious that this technique will become a new gold standard in genotyping methods in tuberculosis molecular epidemiological studies. In this article, molecular genetic typing methods with a special focus on whole genome sequencing and data management are reviewed.
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Affiliation(s)
- Jana Amlerova
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
- Department of Microbiology, Faculty of Medicine, University Hospital in Pilsen, Alej Svobody 80, 304 60, Pilsen, Czech Republic.
| | - Ibrahim Bitar
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Jaroslav Hrabak
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
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13
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Genotyping Multidrug-Resistant Mycobacterium tuberculosis from Primary Sputum and Decontaminated Sediment with an Integrated Microfluidic Amplification Microarray Test. J Clin Microbiol 2018; 56:JCM.01652-17. [PMID: 29305543 PMCID: PMC5824040 DOI: 10.1128/jcm.01652-17] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 12/18/2017] [Indexed: 12/22/2022] Open
Abstract
There is a growing awareness that molecular diagnostics for detect-to-treat applications will soon need a highly multiplexed mutation detection and identification capability. In this study, we converted an open-amplicon microarray hybridization test for multidrug-resistant (MDR) Mycobacterium tuberculosis into an entirely closed-amplicon consumable (an amplification microarray) and evaluated its performance with matched sputum and sediment extracts. Reproducible genotyping (the limit of detection) was achieved with ∼25 M. tuberculosis genomes (100 fg of M. tuberculosis DNA) per reaction; the estimated shelf life of the test was at least 18 months when it was stored at 4°C. The test detected M. tuberculosis in 99.1% of sputum extracts and 100% of sediment extracts and showed 100% concordance with the results of real-time PCR. The levels of concordance between M. tuberculosis and resistance-associated gene detection were 99.1% and 98.4% for sputum and sediment extracts, respectively. Genotyping results were 100% concordant between sputum and sediment extracts. Relative to the results of culture-based drug susceptibility testing, the test was 97.1% specific and 75.0% sensitive for the detection of rifampin resistance in both sputum and sediment extracts. The specificity for the detection of isoniazid (INH) resistance was 98.4% and 96.8% for sputum and sediment extracts, respectively, and the sensitivity for the detection of INH resistance was 63.6%. The amplification microarray reported the correct genotype for all discordant phenotype/genotype results. On the basis of these data, primary sputum may be considered a preferred specimen for the test. The amplification microarray design, shelf life, and analytical performance metrics are well aligned with consensus product profiles for next-generation drug-resistant M. tuberculosis diagnostics and represent a significant ease-of-use advantage over other hybridization-based tests for diagnosing MDR tuberculosis.
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14
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Votintseva AA, Bradley P, Pankhurst L, Del Ojo Elias C, Loose M, Nilgiriwala K, Chatterjee A, Smith EG, Sanderson N, Walker TM, Morgan MR, Wyllie DH, Walker AS, Peto TEA, Crook DW, Iqbal Z. Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples. J Clin Microbiol 2017; 55:1285-1298. [PMID: 28275074 PMCID: PMC5405248 DOI: 10.1128/jcm.02483-16] [Citation(s) in RCA: 216] [Impact Index Per Article: 30.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 02/28/2017] [Indexed: 12/03/2022] Open
Abstract
Routine full characterization of Mycobacterium tuberculosis is culture based, taking many weeks. Whole-genome sequencing (WGS) can generate antibiotic susceptibility profiles to inform treatment, augmented with strain information for global surveillance; such data could be transformative if provided at or near the point of care. We demonstrate a low-cost method of DNA extraction directly from patient samples for M. tuberculosis WGS. We initially evaluated the method by using the Illumina MiSeq sequencer (40 smear-positive respiratory samples obtained after routine clinical testing and 27 matched liquid cultures). M. tuberculosis was identified in all 39 samples from which DNA was successfully extracted. Sufficient data for antibiotic susceptibility prediction were obtained from 24 (62%) samples; all results were concordant with reference laboratory phenotypes. Phylogenetic placement was concordant between direct and cultured samples. With Illumina MiSeq/MiniSeq, the workflow from patient sample to results can be completed in 44/16 h at a reagent cost of £96/£198 per sample. We then employed a nonspecific PCR-based library preparation method for sequencing on an Oxford Nanopore Technologies MinION sequencer. We applied this to cultured Mycobacterium bovis strain BCG DNA and to combined culture-negative sputum DNA and BCG DNA. For flow cell version R9.4, the estimated turnaround time from patient to identification of BCG, detection of pyrazinamide resistance, and phylogenetic placement was 7.5 h, with full susceptibility results 5 h later. Antibiotic susceptibility predictions were fully concordant. A critical advantage of MinION is the ability to continue sequencing until sufficient coverage is obtained, providing a potential solution to the problem of variable amounts of M. tuberculosis DNA in direct samples.
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Affiliation(s)
- Antonina A Votintseva
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Phelim Bradley
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Louise Pankhurst
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Carlos Del Ojo Elias
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Matthew Loose
- School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
| | | | | | - E Grace Smith
- Regional Centre for Mycobacteriology, PHE Public Health Laboratory, Birmingham Heartlands Hospital, Birmingham, United Kingdom
- Public Health England, Wellington House, Lambeth, London, United Kingdom
| | - Nicolas Sanderson
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Timothy M Walker
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Marcus R Morgan
- Microbiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - David H Wyllie
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- Public Health England, Wellington House, Lambeth, London, United Kingdom
- The Jenner Institute, University of Oxford, Oxford, United Kingdom
| | - A Sarah Walker
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Tim E A Peto
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Derrick W Crook
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- Public Health England, Wellington House, Lambeth, London, United Kingdom
- The Jenner Institute, University of Oxford, Oxford, United Kingdom
| | - Zamin Iqbal
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
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15
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Accurate and effective multidrug-resistant Mycobacterium tuberculosis detection method using gap-filling ligation coupled with high-resolution capillary electrophoresis-based single strand conformation polymorphism. Sci Rep 2017; 7:46090. [PMID: 28422112 PMCID: PMC5395819 DOI: 10.1038/srep46090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 03/09/2017] [Indexed: 11/19/2022] Open
Abstract
Tuberculosis (TB) has severely threatened public health via emerging multidrug-resistant (MDR) and extensively drug-resistant (XDR) Mycobacterium tuberculosis (MTB) strains. For effective TB treatment, rapid, accurate, and multiplex detection of drug resistance is extremely important. However, conventional methods for TB diagnosis are time consuming and have a limited effect on treatment. Nucleic acid-based molecular detection methods have been developed as an effective MDR/XDR-TB diagnosis technology. Among the nucleic acid-based methods, ligation-dependent methods are attractive as MDR/XDR-MTB detection technologies, but multiplex analysis is limited by the detection method. Although an electrophoresis-based method is considered for multiple target detection because it is free from the errors pertaining to hybridization-based systems, the procedure of multiplex analysis is quite complicated owing to the DNA size-based separation system. In this study, we report an accurate, rapid, and simple multiple MDR/XDR-MTB detection technology using gap-filling ligation reaction coupled with high-resolution capillary electrophoresis-based single-strand conformation polymorphism. Using this system, rapid and accurate MDR/XDR-MTB detection is feasible via similar length probes without the complicated step of probe design. We found that this method could accurately and effectively detect highly polymorphic regions in specific codons associated with drug resistance.
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16
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Dheda K, Gumbo T, Maartens G, Dooley KE, McNerney R, Murray M, Furin J, Nardell EA, London L, Lessem E, Theron G, van Helden P, Niemann S, Merker M, Dowdy D, Van Rie A, Siu GKH, Pasipanodya JG, Rodrigues C, Clark TG, Sirgel FA, Esmail A, Lin HH, Atre SR, Schaaf HS, Chang KC, Lange C, Nahid P, Udwadia ZF, Horsburgh CR, Churchyard GJ, Menzies D, Hesseling AC, Nuermberger E, McIlleron H, Fennelly KP, Goemaere E, Jaramillo E, Low M, Jara CM, Padayatchi N, Warren RM. The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis. THE LANCET. RESPIRATORY MEDICINE 2017; 5:S2213-2600(17)30079-6. [PMID: 28344011 DOI: 10.1016/s2213-2600(17)30079-6] [Citation(s) in RCA: 382] [Impact Index Per Article: 54.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/24/2016] [Accepted: 12/08/2016] [Indexed: 12/25/2022]
Abstract
Global tuberculosis incidence has declined marginally over the past decade, and tuberculosis remains out of control in several parts of the world including Africa and Asia. Although tuberculosis control has been effective in some regions of the world, these gains are threatened by the increasing burden of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis. XDR tuberculosis has evolved in several tuberculosis-endemic countries to drug-incurable or programmatically incurable tuberculosis (totally drug-resistant tuberculosis). This poses several challenges similar to those encountered in the pre-chemotherapy era, including the inability to cure tuberculosis, high mortality, and the need for alternative methods to prevent disease transmission. This phenomenon mirrors the worldwide increase in antimicrobial resistance and the emergence of other MDR pathogens, such as malaria, HIV, and Gram-negative bacteria. MDR and XDR tuberculosis are associated with high morbidity and substantial mortality, are a threat to health-care workers, prohibitively expensive to treat, and are therefore a serious public health problem. In this Commission, we examine several aspects of drug-resistant tuberculosis. The traditional view that acquired resistance to antituberculous drugs is driven by poor compliance and programmatic failure is now being questioned, and several lines of evidence suggest that alternative mechanisms-including pharmacokinetic variability, induction of efflux pumps that transport the drug out of cells, and suboptimal drug penetration into tuberculosis lesions-are likely crucial to the pathogenesis of drug-resistant tuberculosis. These factors have implications for the design of new interventions, drug delivery and dosing mechanisms, and public health policy. We discuss epidemiology and transmission dynamics, including new insights into the fundamental biology of transmission, and we review the utility of newer diagnostic tools, including molecular tests and next-generation whole-genome sequencing, and their potential for clinical effectiveness. Relevant research priorities are highlighted, including optimal medical and surgical management, the role of newer and repurposed drugs (including bedaquiline, delamanid, and linezolid), pharmacokinetic and pharmacodynamic considerations, preventive strategies (such as prophylaxis in MDR and XDR contacts), palliative and patient-orientated care aspects, and medicolegal and ethical issues.
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Affiliation(s)
- Keertan Dheda
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa.
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kelly E Dooley
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruth McNerney
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa
| | - Megan Murray
- Department of Global Health and Social Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Edward A Nardell
- TH Chan School of Public Health, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Leslie London
- School of Public Health and Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Grant Theron
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Paul van Helden
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Schleswig-Holstein, Germany; German Centre for Infection Research (DZIF), Partner Site Borstel, Borstel, Schleswig-Holstein, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Schleswig-Holstein, Germany
| | - David Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Annelies Van Rie
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; International Health Unit, Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | - Gilman K H Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Camilla Rodrigues
- Department of Microbiology, P.D. Hinduja National Hospital & Medical Research Centre, Mumbai, India
| | - Taane G Clark
- Faculty of Infectious and Tropical Diseases and Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Frik A Sirgel
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Aliasgar Esmail
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa
| | - Hsien-Ho Lin
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Sachin R Atre
- Center for Clinical Global Health Education (CCGHE), Johns Hopkins University, Baltimore, MD, USA; Medical College, Hospital and Research Centre, Pimpri, Pune, India
| | - H Simon Schaaf
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kwok Chiu Chang
- Tuberculosis and Chest Service, Centre for Health Protection, Department of Health, Hong Kong SAR, China
| | - Christoph Lange
- Division of Clinical Infectious Diseases, German Center for Infection Research, Research Center Borstel, Borstel, Schleswig-Holstein, Germany; International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany; Department of Medicine, Karolinska Institute, Stockholm, Sweden; Department of Medicine, University of Namibia School of Medicine, Windhoek, Namibia
| | - Payam Nahid
- Division of Pulmonary and Critical Care, San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Zarir F Udwadia
- Pulmonary Department, Hinduja Hospital & Research Center, Mumbai, India
| | | | - Gavin J Churchyard
- Aurum Institute, Johannesburg, South Africa; School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Advancing Treatment and Care for TB/HIV, South African Medical Research Council, Johannesburg, South Africa
| | - Dick Menzies
- Montreal Chest Institute, McGill University, Montreal, QC, Canada
| | - Anneke C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Eric Nuermberger
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kevin P Fennelly
- Pulmonary Clinical Medicine Section, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Eric Goemaere
- MSF South Africa, Cape Town, South Africa; School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Marcus Low
- Treatment Action Campaign, Johannesburg, South Africa
| | | | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), MRC HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Robin M Warren
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
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17
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Abstract
Whole-genome sequencing has taken a leading role in epidemiologic studies of tuberculosis, but thus far, its real-time clinical utility has been low, in part because of the requirement for culture. In their report in this issue, Votintseva et al. (A. A. Votintseva, P. Bradley, L. Pankhurst, C. del Ojo Elias, M. Loose, K. Nilgiriwala, A. Chatterjee, E. G. Smith, N. Sanderson, T. M. Walker, M. R. Morgan, D. H. Wyllie, A. S. Walker, T. E. A. Peto, D. W. Crook, and Z. Iqbal, J Clin Microbiol 55:1285-1298, 2017, https://doi.org/10.1128/JCM.02483-16) present a new method for extracting Mycobacterium tuberculosis DNA directly from smear-positive respiratory samples, making it feasible to generate drug resistance predictions and phylogenetic trees in 44 h with the Illumina MiSeq. They also illustrate the potential for a <24-h turnaround time from DNA extraction to clinically relevant results with Illumina MiniSeq and Oxford Nanopore Technologies MinION. We comment on the promise and limitations of these approaches.
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