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de Bernardi Schneider A, Su M, Hinrichs AS, Wang J, Amin H, Bell J, Wadford DA, O’Toole Á, Scher E, Perry MD, Turakhia Y, De Maio N, Hughes S, Corbett-Detig R. SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method. Virus Evol 2024; 10:vead085. [PMID: 38361813 PMCID: PMC10868549 DOI: 10.1093/ve/vead085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 12/13/2023] [Accepted: 01/05/2024] [Indexed: 02/17/2024] Open
Abstract
With the rapid spread and evolution of SARS-CoV-2, the ability to monitor its transmission and distinguish among viral lineages is critical for pandemic response efforts. The most commonly used software for the lineage assignment of newly isolated SARS-CoV-2 genomes is pangolin, which offers two methods of assignment, pangoLEARN and pUShER. PangoLEARN rapidly assigns lineages using a machine-learning algorithm, while pUShER performs a phylogenetic placement to identify the lineage corresponding to a newly sequenced genome. In a preliminary study, we observed that pangoLEARN (decision tree model), while substantially faster than pUShER, offered less consistency across different versions of pangolin v3. Here, we expand upon this analysis to include v3 and v4 of pangolin, which moved the default algorithm for lineage assignment from pangoLEARN in v3 to pUShER in v4, and perform a thorough analysis confirming that pUShER is not only more stable across versions but also more accurate. Our findings suggest that future lineage assignment algorithms for various pathogens should consider the value of phylogenetic placement.
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Affiliation(s)
- Adriano de Bernardi Schneider
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Michelle Su
- Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA
| | - Angie S Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jade Wang
- Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA
| | - Helly Amin
- Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA
| | - John Bell
- California Department of Public Health (CDPH), VRDL/COVIDNet, Richmond, CA 94804, USA
| | - Debra A Wadford
- California Department of Public Health (CDPH), VRDL/COVIDNet, Richmond, CA 94804, USA
| | - Áine O’Toole
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK
| | - Emily Scher
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK
| | - Marc D Perry
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Yatish Turakhia
- Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA 92093, USA
| | - Nicola De Maio
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | - Scott Hughes
- Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA
| | - Russ Corbett-Detig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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2
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Diel R, Nienhaus A. Pathways of TB Transmission in Children-A Systematic Review of Molecular Epidemiological Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1737. [PMID: 36767111 PMCID: PMC9914148 DOI: 10.3390/ijerph20031737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/08/2023] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
The widespread paradigm that younger children usually do not transmit M. tuberculosis complex (Mtbc) to their contacts has not yet been proven by genotypically confirmed transmissions. Therefore, we undertook a systematic review of molecular-epidemiological studies to investigate documented source and secondary TB (tuberculosis) cases among children. We searched the literature published before August 2022 using PubMed, Cochrane, and Google Scholar databases. PRISMA statement was used for systematic review. Of 312 records retrieved, 39 studies including children aged below 15 years offered epidemiological links between cluster members. In the 39 studies from 16 countries, 225 children were reported as cluster members of whom the overwhelming majority were infected by adults. Only 3 children-of those were 2 children aged below 10-were reported to be the definite source cases of 11 other children and 1 adult with genotypically matched Mtbc isolates. To date, molecular-epidemiological studies involving children with verified transmission links are scarce. As far as the heterogeneity of the studies we identified allows, we could conclude that the results confirm the paradigm that children aged below 10 hardly ever transmit Mtbc to others. The true extent of TB transmission through children may, however, be underestimated by those selected studies.
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Affiliation(s)
- Roland Diel
- Institute for Epidemiology, University Medical Hospital Schleswig-Holstein, 24105 Kiel, Germany
- LungClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), 22927 Großhansdorf, Germany
| | - Albert Nienhaus
- Competence Center for Epidemiology and Health Services Research for Healthcare Professionals (CVcare), Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
- Department for Occupational Medicine, Hazardous Substances and Health Sciences (AGG), Statutory Accident Insurance and Prevention in the Health and Welfare Services (BGW), 22089 Hamburg, Germany
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3
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de Groot T, Spruijtenburg B, Parnell LA, Chow NA, Meis JF. Optimization and Validation of Candida auris Short Tandem Repeat Analysis. Microbiol Spectr 2022; 10:e0264522. [PMID: 36190407 PMCID: PMC9603409 DOI: 10.1128/spectrum.02645-22] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/06/2022] [Indexed: 01/04/2023] Open
Abstract
Candida auris is an easily transmissible yeast with resistance to different antifungal compounds. Outbreaks of C. auris are mostly observed in intensive care units. To take adequate measures during an outbreak, it is essential to understand the transmission route, which requires isolate genotyping. In 2019, a short tandem repeat (STR) genotyping analysis was developed for C. auris. To determine the discriminatory power of this method, we performed STR analysis of 171 isolates with known whole-genome sequencing (WGS) data using Illumina reads, and we compared their resolutions. We found that STR analysis separated the 171 isolates into four clades (clades I to IV), as was also seen with WGS analysis. Then, to improve the separation of isolates in clade IV, the STR assay was optimized by the addition of 2 STR markers. With this improved STR assay, a total of 32 different genotypes were identified, while all isolates with differences of >50 single-nucleotide polymorphisms (SNPs) were separated by at least 1 STR marker. Altogether, we optimized and validated the C. auris STR panel for clades I to IV and established its discriminatory power, compared to WGS SNP analysis using Illumina reads. IMPORTANCE The emerging fungal pathogen Candida auris poses a threat to public health, mainly causing outbreaks in intensive care units. Genotyping is essential for investigating potential outbreaks and preventing further spread. Previously, we developed a STR genotyping scheme for rapid and high-resolution genotyping, and WGS SNP outcomes for some isolates were compared to STR data. Here, we compared WGS SNP and STR outcomes for a larger sample cohort. Also, we optimized the resolution of this typing scheme with the addition of 2 STR markers. Altogether, we validated and optimized this rapid, reliable, and high-resolution typing scheme for C. auris.
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Affiliation(s)
- Theun de Groot
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
- Centre of Expertise in Mycology, Radboud University Medical Center/Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Bram Spruijtenburg
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
- Centre of Expertise in Mycology, Radboud University Medical Center/Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Lindsay A. Parnell
- Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nancy A. Chow
- Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jacques F. Meis
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
- Centre of Expertise in Mycology, Radboud University Medical Center/Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
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4
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Acosta F, Martínez-Lirola M, Sola-Campoy PJ, Sicilia J, Guerra-Galán T, Maus SR, Muñoz P, Pérez-Lago L, García de Viedma D. Insights into the Complexity of a Dormant Mycobacterium tuberculosis Cluster Once Transmission Is Resumed. Microbiol Spectr 2022; 10:e0138121. [PMID: 35044196 PMCID: PMC8768656 DOI: 10.1128/spectrum.01381-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/13/2021] [Indexed: 12/03/2022] Open
Abstract
Genotyping tools help identify the complexity in Mycobacterium tuberculosis transmission clusters. We carried out a thorough analysis of the epidemiological and bacteriological complexity of a cluster in Almería, Spain. The cluster, initially associated with Moroccan migrants and with no secondary cases identified in 4 years, then reappeared in Spanish-born individuals. In one case, two Mycobacterium tuberculosis clonal variants were identified. We reanalyzed the cluster, supported by the characterization of multiple cultured isolates and respiratory specimens, whole-genome sequencing, and epidemiological case interviews. Our findings showed that the cluster, which was initially thought to have restarted activity with just a single case harboring a small degree of within-host diversity, was in fact currently growing due to coincidental reactivation of past exposures, with clonal diversity transmitted throughout the cluster. In one case, within-host diversity was amplified, probably due to prolonged diagnostic delay. IMPORTANCE The precise study of the dynamics of tuberculosis transmission in socio-epidemiologically complex scenarios may require more thorough analysis than the standard molecular epidemiology strategies. Our study illustrates the epidemiological and bacteriological complexity present in a transmission cluster in a challenging epidemiological setting with a high proportion of migrant cases. The combination of whole-genome sequencing, refined and refocused epidemiological interviews, and in-depth analysis of the bacterial composition of sputa and cultured isolates was crucial in order to correctly reinterpret the true nature of this cluster. Our global approach allowed us to reinterpret correctly the unnoticed epidemiological and bacteriological complexity involved in the Mycobacterium tuberculosis transmission event under study, which had been overlooked by the usual molecular epidemiology approaches.
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Affiliation(s)
- Fermin Acosta
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Pedro J. Sola-Campoy
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Jon Sicilia
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Teresa Guerra-Galán
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Sandra R. Maus
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Patricia Muñoz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Departamento de Medicina, Universidad Complutense, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Darío García de Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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Genestet C, Perdigão J, Herranz M, Maus SR, Berland JL, Chiner-Oms Á, Comas I, Muñoz P, Portugal I, Dumitrescu O, Pérez-Lago L, García de Viedma D. Expanded tracking of a Beijing Mycobacterium tuberculosis strain involved in an outbreak in France. Travel Med Infect Dis 2021; 44:102167. [PMID: 34543757 DOI: 10.1016/j.tmaid.2021.102167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Charlotte Genestet
- CIRI - Centre International de Recherche en Infectiologie, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon-1, Inserm U1111, CNRS UMR5308, France; Hospices Civils de Lyon, Institut des Agents Infectieux, Lyon, France
| | - João Perdigão
- Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Herranz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Sandra R Maus
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Jean-Luc Berland
- CIRI - Centre International de Recherche en Infectiologie, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon-1, Inserm U1111, CNRS UMR5308, France; Hospices Civils de Lyon, Institut des Agents Infectieux, Lyon, France
| | | | - Iñaki Comas
- Instituto de Biomedicina de Valencia-CSIC, Valencia, Spain; CIBER Salud Pública (CIBERESP), Spain
| | - Patricia Muñoz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain; Departamento de Medicina, Universidad Complutense, Madrid, Spain
| | - Isabel Portugal
- Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
| | - Oana Dumitrescu
- CIRI - Centre International de Recherche en Infectiologie, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon-1, Inserm U1111, CNRS UMR5308, France; Hospices Civils de Lyon, Institut des Agents Infectieux, Lyon, France.
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
| | - Darío García de Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain.
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6
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Ferdinand AS, Kelaher M, Lane CR, da Silva AG, Sherry NL, Ballard SA, Andersson P, Hoang T, Denholm JT, Easton M, Howden BP, Williamson DA. An implementation science approach to evaluating pathogen whole genome sequencing in public health. Genome Med 2021; 13:121. [PMID: 34321076 PMCID: PMC8317677 DOI: 10.1186/s13073-021-00934-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 07/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Pathogen whole genome sequencing (WGS) is being incorporated into public health surveillance and disease control systems worldwide and has the potential to make significant contributions to infectious disease surveillance, outbreak investigation and infection prevention and control. However, to date, there are limited data regarding (i) the optimal models for integration of genomic data into epidemiological investigations and (ii) how to quantify and evaluate public health impacts resulting from genomic epidemiological investigations. METHODS We developed the Pathogen Genomics in Public HeAlth Surveillance Evaluation (PG-PHASE) Framework to guide examination of the use of WGS in public health surveillance and disease control. We illustrate the use of this framework with three pathogens as case studies: Listeria monocytogenes, Mycobacterium tuberculosis and SARS-CoV-2. RESULTS The framework utilises an adaptable whole-of-system approach towards understanding how interconnected elements in the public health application of pathogen genomics contribute to public health processes and outcomes. The three phases of the PG-PHASE Framework are designed to support understanding of WGS laboratory processes, analysis, reporting and data sharing, and how genomic data are utilised in public health practice across all stages, from the decision to send an isolate or sample for sequencing to the use of sequence data in public health surveillance, investigation and decision-making. Importantly, the phases can be used separately or in conjunction, depending on the need of the evaluator. Subsequent to conducting evaluation underpinned by the framework, avenues may be developed for strategic investment or interventions to improve utilisation of whole genome sequencing. CONCLUSIONS Comprehensive evaluation is critical to support health departments, public health laboratories and other stakeholders to successfully incorporate microbial genomics into public health practice. The PG-PHASE Framework aims to assist public health laboratories, health departments and authorities who are either considering transitioning to whole genome sequencing or intending to assess the integration of WGS in public health practice, including the capacity to detect and respond to outbreaks and associated costs, challenges and facilitators in the utilisation of microbial genomics and public health impacts.
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Affiliation(s)
- Angeline S Ferdinand
- 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.
- Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
| | - Margaret Kelaher
- Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Courtney R Lane
- 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
| | - Anders Gonçalves da Silva
- 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
| | - Norelle L Sherry
- 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
| | - Susan A Ballard
- 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
| | - Patiyan Andersson
- 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
| | - Tuyet Hoang
- 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
| | - Justin T Denholm
- Victorian Tuberculosis Program, Melbourne Health, Melbourne, Australia
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | | | - Benjamin P Howden
- 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
| | - Deborah A Williamson
- 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.
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
- Department of Microbiology, Royal Melbourne Hospital, Melbourne, Australia.
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7
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Martínez-Lirola M, Jajou R, Mathys V, Martin A, Cabibbe AM, Valera A, Sola-Campoy PJ, Abascal E, Rodríguez-Maus S, Garrido-Cárdenas JA, Bonillo M, Chiner-Oms Á, López B, Vallejo-Godoy S, Comas I, Muñoz P, Cirillo DM, van Soolingen D, Pérez-Lago L, García de Viedma D. Integrative transnational analysis to dissect tuberculosis transmission events along the migratory route from Africa to Europe. J Travel Med 2021; 28:6211020. [PMID: 33822988 DOI: 10.1093/jtm/taab054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/26/2021] [Accepted: 03/24/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Growing international migration has increased the complexity of tuberculosis transmission patterns. Italy's decision to close its borders in 2018 made of Spain the new European porte entrée for migration from the Horn of Africa (HA). In one of the first rescues of migrants from this region at the end of 2018, tuberculosis was diagnosed in eight subjects, mainly unaccompanied minors. METHODS Mycobacterium tuberculosis isolates from these recently arrived migrants were analysed by Mycobacterial Interspersed Repetitive-Unit/Variable-Number of Tandem Repeat (MIRU-VNTR) and subsequent whole genome sequencing (WGS) analysis. Data were compared with those from collections from other European countries receiving migrants from the HA and a strain-specific PCR was applied for a fast searching of common strains. Infections in a cellular model were performed to assess strain virulence. RESULTS MIRU-VNTR analysis allowed identifying an epidemiological cluster involving three of the eight cases from Somalia (0 single-nucleotide polymorphisms between isolates, HA cluster). Following detailed interviews revealed that two of these cases had shared the same migratory route in most of the trip and had spent a long time at a detention camp in Libya. To confirm potential en route transmission for the three cases, we searched the same strain in collections from other European countries receiving migrants from the HA. MIRU-VNTR, WGS and a strain-specific PCR for the HA strain were applied. The same strain was identified in 12 cases from Eritrea diagnosed soon after their arrival in 2018 to the Netherlands, Belgium and Italy. Intracellular replication rate of the strain did not reveal abnormal virulence. CONCLUSIONS Our study suggests a potential en route transmission of a pan-susceptible strain, which caused at least 15 tuberculosis cases in Somalian and Eritrean migrants diagnosed in four different European countries.
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Affiliation(s)
| | - Rana Jajou
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Vanessa Mathys
- Unit Bacterial Diseases Service, Infectious Diseases in Humans, Sciensano, Brussels, Belgium
| | - Anandi Martin
- Université catholique de Louvain (UCLouvain) & Syngulon, 4102, Seraing, Belgium
| | - Andrea Maurizio Cabibbe
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ana Valera
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Pedro J Sola-Campoy
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Estefanía Abascal
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Sandra Rodríguez-Maus
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Magdalena Bonillo
- Unidad de Prevención, Promoción y Vigilancia de la Salud del Área Sanitaria Norte de Almería. Consejería de Salud. Junta de Andalucia, Almería, Spain
| | - Álvaro Chiner-Oms
- Centro Superior de Investigación en Salud Pública (FISABIO)-Universitat de València, Valencia, Spain
| | - Begoña López
- UPPV Distrito Sanitario Granada metropolitano, Granada, Spain
| | | | - Iñaki Comas
- Instituto de Biomedicina de Valencia-CSIC, Valencia, Spain.,CIBER Salud Pública (CIBERESP), Madrid, Spain
| | - Patricia Muñoz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain.,Departamento de Medicina, Universidad Complutense, Madrid, Spain
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Dick van Soolingen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Darío García de Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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8
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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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9
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Gafar F, Ochi T, Van't Boveneind-Vrubleuskaya N, Akkerman OW, Erkens C, van den Hof S, van der Werf TS, Alffenaar JWC, Wilffert B. Towards elimination of childhood and adolescent tuberculosis in the Netherlands: an epidemiological time-series analysis of national surveillance data. Eur Respir J 2020; 56:13993003.01086-2020. [PMID: 32471938 DOI: 10.1183/13993003.01086-2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 05/22/2020] [Indexed: 11/05/2022]
Abstract
BACKGROUND Tuberculosis (TB) in children and adolescents is a sentinel event for ongoing transmission. In the Netherlands, epidemiological characteristics of childhood and adolescent TB have not been fully evaluated. Therefore, we aimed to assess TB epidemiology within this population to provide guidance for TB elimination. METHODS A retrospective time-series analysis using national surveillance data from 1993-2018 was performed in children (aged <15 years) and adolescents (aged 15-19 years) with TB. Poisson regression models offset with log-population size were used to estimate notification rates and rate ratios. Trends in notification rates were estimated using average annual percentage changes (AAPC) based on the segmented linear regression analysis. RESULTS Among 3899 children and adolescents with TB notified during 1993-2018, 2418 (62%) were foreign-born (725 (41.3%) out of 1755 children and 1693 (78.9%) out of 2144 adolescents). The overall notification rate in children was 2.3 per 100 000 person-years, declining steadily during the study period (AAPC -10.9%, 95% CI -12.6--9.1). In adolescents, the overall notification rate was 8.4 per 100 000 person-years, strongly increasing during 1993-2001 and 2012-2018. Compared to Dutch-born children and adolescents, substantially higher notification rates were observed among African-born children and adolescents (116.8 and 316.6 per 100 000 person-years, respectively). Additionally, an increasing trend was observed in African-born adolescents (AAPC 18.5%, 95% CI 11.9-25.5). Among the foreign-born population, those from countries in the horn of Africa contributed most to the TB caseload. CONCLUSION TB notification rate among children was low and constantly declining across different demographic groups. However, heterogeneities were shown in adolescents, with an increasing trend in the foreign-born, particularly those from Africa.
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Affiliation(s)
- Fajri Gafar
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology, and Economics, Groningen, The Netherlands
| | - Taichi Ochi
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology, and Economics, Groningen, The Netherlands
| | - Natasha Van't Boveneind-Vrubleuskaya
- University of Groningen, University Medical Center Groningen, Dept of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.,Dept of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - Onno W Akkerman
- University of Groningen, University Medical Center Groningen, Dept of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - Connie Erkens
- KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - Susan van den Hof
- National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands
| | - Tjip S van der Werf
- University of Groningen, University Medical Center Groningen, Dept of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Dept of Internal Medicine, Groningen, The Netherlands
| | - Jan-Willem C Alffenaar
- University of Groningen, University Medical Center Groningen, Dept of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.,University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead Hospital, Sydney, Australia.,Marie Bashir Institute of Infectious Diseases, University of Sydney, Sydney, Australia
| | - Bob Wilffert
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology, and Economics, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Dept of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
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10
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García de Viedma D. Pathways and strategies followed in the genomic epidemiology of Mycobacterium tuberculosis. INFECTION GENETICS AND EVOLUTION 2019; 72:4-9. [DOI: 10.1016/j.meegid.2019.01.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/15/2019] [Accepted: 01/18/2019] [Indexed: 10/27/2022]
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11
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Semenza JC, Ebi KL. Climate change impact on migration, travel, travel destinations and the tourism industry. J Travel Med 2019; 26:5445924. [PMID: 30976790 PMCID: PMC7107585 DOI: 10.1093/jtm/taz026] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 04/02/2019] [Accepted: 04/05/2019] [Indexed: 12/19/2022]
Abstract
Background: Climate change is not only increasing ambient temperature but also accelerating the frequency, duration and intensity of extreme weather and climate events, such as heavy precipitation and droughts, and causing sea level rise, which can lead to population displacement. Climate change-related reductions in land productivity and habitability and in food and water security can also interact with demographic, economic and social factors to increase migration. In addition to migration, climate change has also implications for travel and the risk of disease. This article discusses the impact of climate change on migration and travel with implications for public health practice. Methods: Literature review. Results: Migrants may be at increased risk of communicable and non-communicable diseases, due to factors in their country of origin and their country of destination or conditions that they experience during migration. Although migration has not been a significant driver of communicable disease outbreaks to date, public health authorities need to ensure that effective screening and vaccination programmes for priority communicable diseases are in place.Population growth coupled with socio-economic development is increasing travel and tourism, and advances in technology have increased global connectivity and reduced the time required to cover long distances. At the same time, as a result of climate change, many temperate regions, including high-income countries, are now suitable for vector-borne disease transmission. This is providing opportunities for importation of vectors and pathogens from endemic areas that can lead to cases or outbreaks of communicable diseases with which health professionals may be unfamiliar. Conclusion: Health systems need to be prepared for the potential population health consequences of migration, travel and tourism and the impact of climate change on these. Integrated surveillance, early detection of cases and other public health interventions are critical to protect population health and prevent and control communicabledisease outbreaks.
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Affiliation(s)
- Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, Solna, Sweden
| | - Kristie L Ebi
- Department of Global Health, University of Washington, PO Box 354695, Suite 2330, Seattle, WA, USA
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12
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van der Werf MJ, Ködmön C. Whole-Genome Sequencing as Tool for Investigating International Tuberculosis Outbreaks: A Systematic Review. Front Public Health 2019; 7:87. [PMID: 31058125 PMCID: PMC6478655 DOI: 10.3389/fpubh.2019.00087] [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: 02/06/2019] [Accepted: 04/01/2019] [Indexed: 12/31/2022] Open
Abstract
Background: Whole-genome sequencing (WGS) can support the investigation of tuberculosis (TB) outbreaks. The technique has been applied to estimate the timing and directionality of transmission and to exclude cases from an investigation. This review assesses how WGS was applied in international outbreak investigations and discusses the advantages and challenges of the application of WGS. Methods: Databases were searched for reports on international TB outbreak investigations. Information was extracted on: Why was WGS applied?; How was WGS applied?; Organizational issues; WGS methodology; What was learned/what were the implications of the WGS investigation?; and challenges and lessons learned. Results: Three studies reporting on international outbreak investigations were identified. Retrospective WGS sequencing was performed in all studies and prospective typing in two to study TB transmission. In one study, WGS data were produced centrally (i.e., in one laboratory) and analysis was done centrally. In two studies, WGS data production was done in a decentralized manner, and analysis was centralized in one laboratory. Three groups of professionals were involved in the international outbreak investigation: public health authorities, laboratory experts, and clinicians. The reported WGS methodology applied differed between the studies in some aspects, e.g., sequencing platform; quality measures, percentage of the reference genome covered, and the mean genomic coverage; analysis, use of a reference genome or de novo assembly; and software used for alignment and analysis. In all three studies, in-house scripts were used for variance calling, and the single nucleotide polymorphism (SNP) approach was used for analysis. All outbreak investigation reports stated that WGS refuted suspected transmission events and provided supporting evidence for epidemiological data. Several challenges were reported of which most were not related to WGS. The only challenge related to WGS was the timeframe of getting WGS data if WGS is not routinely performed. Conclusions: WGS was considered a useful addition in international TB outbreak investigations. Further standardization of the WGS methodology and good structures for international collaboration and coordination are needed to take full advantage of this new technology. Whether the use of WGS results in earlier detection of cases and thus limits transmission still needs to be determined.
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Affiliation(s)
| | - Csaba Ködmön
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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13
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Nikolayevskyy V, Niemann S, Anthony R, van Soolingen D, Tagliani E, Ködmön C, van der Werf MJ, Cirillo DM. Role and value of whole genome sequencing in studying tuberculosis transmission. Clin Microbiol Infect 2019; 25:1377-1382. [PMID: 30980928 DOI: 10.1016/j.cmi.2019.03.022] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 03/16/2019] [Accepted: 03/19/2019] [Indexed: 11/15/2022]
Abstract
BACKGROUND Tuberculosis (TB) remains a serious public health threat worldwide. Theoretically ultimate resolution of whole genome sequencing (WGS) for Mycobacterium tuberculosis complex (MTBC) strain classification makes this technology very attractive for epidemiological investigations. OBJECTIVES To summarize the evidence available in peer-reviewed publications on the role and place of WGS in detection of TB transmission. SOURCES A total of 69 peer-reviewed publications identified in Pubmed database. CONTENT Evidence from >30 publications suggests that a cut-off value of fewer than six single nucleotide polymorphisms between strains efficiently excludes cases that are not the result of recent transmission and could be used for the identification of drug-sensitive isolates involved in direct human-to-human TB transmission. Sensitivity of WGS to identify epidemiologically linked isolates is high, reaching 100% in eight studies with specificity (17%-95%) highly dependent on the settings. Drug resistance and specific phylogenetic lineages may be associated with accelerated mutation rates affecting genetic distances. WGS can be potentially used to distinguish between true relapses and re-infections but in high-incidence low-diversity settings this would require consideration of epidemiological links and minority alleles. Data from four studies looking into within-host diversity highlight a need for developing criteria for acceptance or rejection of WGS relatedness results depending on the proportion of minority alleles. IMPLICATIONS WGS will potentially allow for more targeted public health actions preventing unnecessary investigations of false clusters. Consensus on standardization of raw data quality control processing criteria, analytical pipelines and reporting language is yet to be reached.
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Affiliation(s)
- V Nikolayevskyy
- Public Health England, London, UK; Imperial College, London, UK.
| | - S Niemann
- Molecular and Experimental Mycobacteriology, National Reference Centre for Mycobacteria, Research Centre, Borstel, Germany; German Centre for Infection Research, Borstel site, Germany
| | - R Anthony
- Tuberculosis Reference Laboratory, Infectious Diseases Research, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - D van Soolingen
- Tuberculosis Reference Laboratory, Infectious Diseases Research, Diagnostics and Laboratory Surveillance, 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
| | - C Ködmön
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - M J van der Werf
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
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14
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Roof I, Jajou R, Kamst M, Mulder A, de Neeling A, van Hunen R, van der Hoek W, van Soolingen D. Prevalence and Characterization of Heterogeneous Variable-Number Tandem-Repeat Clusters Comprising Drug-Susceptible and/or Variable Resistant Mycobacterium tuberculosis Complex Isolates in the Netherlands from 2004 to 2016. J Clin Microbiol 2018; 56:e00887-18. [PMID: 30158196 PMCID: PMC6204671 DOI: 10.1128/jcm.00887-18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 08/28/2018] [Indexed: 01/08/2023] Open
Abstract
The variable-number tandem-repeat (VNTR) typing method is used to study tuberculosis (TB) transmission. Clustering of Mycobacterium tuberculosis isolates with identical VNTR patterns is assumed to reflect recent transmission. Hence, clusters are thought to be homogeneous regarding antibiotic resistance. In practice, however, heterogeneous clusters are also identified. This study investigates the prevalence and characteristics of heterogeneous VNTR clusters and assesses whether isolates in these clusters remain clustered when subjected to whole-genome sequencing (WGS). In the period from 2004 to 2016, 9,072 isolates were included. Demographic and epidemiological linkage data were obtained from the Netherlands Tuberculosis Register. VNTR clusters were defined as homogeneous when isolates shared identical resistance profiles or as heterogeneous if both susceptible and (variable) resistant isolates were found. Multivariate logistic regression analysis was performed to identify factors associated with heterogeneous clustering. Isolates from 2016 were subjected to WGS, and a genetic distance of 12 single nucleotide polymorphisms (SNPs) was used as the cutoff for WGS clustering. In total, 4,661/9,072 (51%) isolates were clustered into 985 different VNTR clusters, of which 217 (22%) were heterogeneous. Patient characteristics associated with heterogeneous clustering were non-Dutch ethnicity (odds ratio [OR], 1.46 [95% confidence interval {CI}, 1.22 to 1.75]), asylum seeker (OR, 1.51 [95% CI, 1.24 to 1.85]), extrapulmonary TB (OR, 1.26 [95% CI, 1.09 to 1.46]), previous TB diagnosis (OR, 1.38 [95% CI, 1.04 to 1.82]), and not being a contact of a TB patient (OR, 1.35 [95% CI, 1.08 to 1.69]). With WGS, 34% of heterogeneous and 78% of homogeneous isolates from 2016 remained clustered. Heterogeneous VNTR clusters are common but seem to be explained by a substantial degree of false clustering by VNTR typing compared to WGS.
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Affiliation(s)
- Inge Roof
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Rana Jajou
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Miranda Kamst
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Arnout Mulder
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Albert de Neeling
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Rianne van Hunen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- KNCV Tuberculosis Foundation, The Hague, the Netherlands
| | - Wim van der Hoek
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Dick van Soolingen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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15
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Ayabina D, Ronning JO, Alfsnes K, Debech N, Brynildsrud OB, Arnesen T, Norheim G, Mengshoel AT, Rykkvin R, Dahle UR, Colijn C, Eldholm V. Genome-based transmission modelling separates imported tuberculosis from recent transmission within an immigrant population. Microb Genom 2018; 4. [PMID: 30216147 PMCID: PMC6249437 DOI: 10.1099/mgen.0.000219] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
In many countries the incidence of tuberculosis (TB) is low and is largely shaped by immigrant populations from high-burden countries. This is the case in Norway, where more than 80 % of TB cases are found among immigrants from high-incidence countries. A variable latent period, low rates of evolution and structured social networks make separating import from within-border transmission a major conundrum to TB control efforts in many low-incidence countries. Clinical Mycobacterium tuberculosis isolates belonging to an unusually large genotype cluster associated with people born in the Horn of Africa have been identified in Norway over the last two decades. We modelled transmission based on whole-genome sequence data to estimate infection times for individual patients. By contrasting these estimates with time of arrival in Norway, we estimate on a case-by-case basis whether patients were likely to have been infected before or after arrival. Independent import was responsible for the majority of cases, but we estimate that about one-quarter of the patients had contracted TB in Norway. This study illuminates the transmission dynamics within an immigrant community. Our approach is broadly applicable to many settings where TB control programmes can benefit from understanding when and where patients acquired TB.
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Affiliation(s)
- Diepreye Ayabina
- 1Department of Mathematics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Janne O Ronning
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Kristian Alfsnes
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Nadia Debech
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Ola B Brynildsrud
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Trude Arnesen
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Gunnstein Norheim
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Anne-Torunn Mengshoel
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Rikard Rykkvin
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Ulf R Dahle
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
| | - Caroline Colijn
- 1Department of Mathematics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Vegard Eldholm
- 2Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisengerggata 8, 0456 Oslo, Norway
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16
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Jajou R, de Neeling A, van Hunen R, de Vries G, Schimmel H, Mulder A, Anthony R, van der Hoek W, van Soolingen D. Epidemiological links between tuberculosis cases identified twice as efficiently by whole genome sequencing than conventional molecular typing: A population-based study. PLoS One 2018; 13:e0195413. [PMID: 29617456 PMCID: PMC5884559 DOI: 10.1371/journal.pone.0195413] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/21/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Patients with Mycobacterium tuberculosis isolates sharing identical DNA fingerprint patterns can be epidemiologically linked. However, municipal health services in the Netherlands are able to confirm an epidemiological link in only around 23% of the patients with isolates clustered by the conventional variable number of tandem repeat (VNTR) genotyping. This research aims to investigate whether whole genome sequencing (WGS) is a more reliable predictor of epidemiological links between tuberculosis patients than VNTR genotyping. METHODS VNTR genotyping and WGS were performed in parallel on all Mycobacterium tuberculosis complex isolates received at the Netherlands National Institute for Public Health and the Environment in 2016. Isolates were clustered by VNTR when they shared identical 24-loci VNTR patterns; isolates were assigned to a WGS cluster when the pair-wise genetic distance was ≤ 12 single nucleotide polymorphisms (SNPs). Cluster investigation was performed by municipal health services on all isolates clustered by VNTR in 2016. The proportion of epidemiological links identified among patients clustered by either method was calculated. RESULTS In total, 535 isolates were genotyped, of which 25% (134/535) were clustered by VNTR and 14% (76/535) by WGS; the concordance between both typing methods was 86%. The proportion of epidemiological links among WGS clustered cases (57%) was twice as common than among VNTR clustered cases (31%). CONCLUSION When WGS was applied, the number of clustered isolates was halved, while all epidemiologically linked cases remained clustered. WGS is therefore a more reliable tool to predict epidemiological links between tuberculosis cases than VNTR genotyping and will allow more efficient transmission tracing, as epidemiological investigations based on false clustering can be avoided.
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Affiliation(s)
- Rana Jajou
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Albert de Neeling
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Rianne van Hunen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - Gerard de Vries
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - Henrieke Schimmel
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Arnout Mulder
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Richard Anthony
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Wim van der Hoek
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Dick van Soolingen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Radboud University Medical Centre, Department of Medical Microbiology, Nijmegen, The Netherlands
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