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Janes VA, van der Laan JS, Matamoros S, Mende DR, de Jong MD, Schultsz C. Thermus thermophilus DNA can be used as internal control for process monitoring of clinical metagenomic next-generation sequencing of urine samples. J Microbiol Methods 2020; 176:106005. [PMID: 32687865 DOI: 10.1016/j.mimet.2020.106005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/14/2020] [Accepted: 07/14/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Metagenomics is increasingly considered for clinical diagnostics. In order for this technology to become integrated in the clinical microbiology laboratory, process controls are required. Molecular diagnostic tests typically integrate an internal control (IC) to detect potential sources of variation and technical failure. However, few studies report on the integration of an IC in metagenomics. AIM We aimed to develop an easy-to-use IC method for the process control of library preparation and sequencing applied to metagenomics in clinical microbiology diagnostics using Thermus thermophilus DNA. METHODOLOGY DNA was extracted from urine samples and sequenced on the Ion Torrent Proton in the absence and presence of incremental concentrations (0.5-2-5%) of IC. Between aliquots of each sample, we compared the IC relative abundance (RA), and after in silico subtraction of IC reads, analysed microbial composition and the RA of pathogens. The optimal IC concentration was defined as the lowest concentration still detectable in all samples with the smallest impact on the microbial composition. RESULTS The RA of IC correlated linearly with the spiked IC concentration (r2 = 0.99). IC added in a concentration of 0.5% of the total DNA concentration was detectable in all sample aliquots, regardless of human-bacterial DNA proportion, and after in silico removal gave the smallest difference in RA of pathogens compared to the sample aliquot sequenced in the absence of IC. The microbial composition in the presence and absence of IC was highly similar after in silico removal of IC reads (median BC-dissimilarity per sample: 0.059), provided samples had a mean of >10,000 bacterial reads. CONCLUSION T. thermophilus DNA at a percentage of 0.5% of the total DNA concentration was successfully applied for the process control of metagenomics of urine samples. We demonstrated negligible alterations in sample microbial composition after in silico subtraction of IC reads. This approach contributes toward implementation of metagenomics in the clinical microbiology laboratory.
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Affiliation(s)
- Victoria A Janes
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands.
| | - Jennifer S van der Laan
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands
| | - Sébastien Matamoros
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands
| | - Daniel R Mende
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands
| | - Menno D de Jong
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands
| | - Constance Schultsz
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, the Netherlands; Amsterdam UMC, University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, the Netherlands
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Janes VA, Notermans DW, Spijkerman IJ, Visser CE, Jakobs ME, van Houdt R, Willems RJ, de Jong MD, Schultsz C, Matamoros S. Amplified fragment length polymorphism and whole genome sequencing: a comparison of methods in the investigation of a nosocomial outbreak with vancomycin resistant enterococci. Antimicrob Resist Infect Control 2019; 8:153. [PMID: 31572571 PMCID: PMC6757385 DOI: 10.1186/s13756-019-0604-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 08/30/2019] [Indexed: 12/19/2022] Open
Abstract
Background Recognition of nosocomial outbreaks with antimicrobial resistant (AMR) pathogens and appropriate infection prevention measures are essential to limit the consequences of AMR pathogens to patients in hospitals. Because unrelated, but genetically similar AMR pathogens may circulate simultaneously, rapid high-resolution molecular typing methods are needed for outbreak management. We compared amplified fragment length polymorphism (AFLP) and whole genome sequencing (WGS) during a nosocomial outbreak of vancomycin-resistant Enterococcus faecium (VRE) that spanned 5 months. Methods Hierarchical clustering of AFLP profiles was performed using unweighted pair-grouping and similarity coefficients were calculated with Pearson correlation. For WGS-analysis, core single nucleotide polymorphisms (SNPs) were used to calculate the pairwise distance between isolates, construct a maximum likelihood phylogeny and establish a cut-off for relatedness of epidemiologically linked VRE isolates. SNP-variations in the vanB gene cluster were compared to increase the comparative resolution. Technical replicates of 2 isolates were sequenced to determine the number of core-SNPs derived from random sequencing errors. Results Of the 721 patients screened for VRE carriage, AFLP assigned isolates of 22 patients to the outbreak cluster. According to WGS, all 22 isolates belonged to ST117 but only 21 grouped in a tight phylogenetic cluster and carried vanB resistance gene clusters. Sequencing of technical replicates showed that 4-5 core-SNPs were derived by random sequencing errors. The cut-off for relatedness of epidemiologically linked VRE isolates was established at ≤7 core-SNPs. The discrepant isolate was separated from the index isolate by 61 core-SNPs and the vanB gene cluster was absent. In AFLP analysis this discrepant isolate was indistinguishable from the other outbreak isolates, forming a cluster with 92% similarity (cut-off for identical isolates ≥90%). The inclusion of the discrepant isolate in the outbreak resulted in the screening of 250 patients and quarantining of an entire ward. Conclusion AFLP was a rapid and affordable screening tool for characterising hospital VRE outbreaks. For in-depth understanding of the outbreak WGS was needed. Compared to AFLP, WGS provided higher resolution typing of VRE isolates with implications for outbreak management.
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Affiliation(s)
- Victoria A. Janes
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
| | - Daan W. Notermans
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
| | - Ingrid J.B. Spijkerman
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
| | - Caroline E. Visser
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
| | - Marja E. Jakobs
- Amsterdam UMC, University of Amsterdam, Clinical Genetics, Core Facility Genomics, Amsterdam, The Netherlands
| | - Robin van Houdt
- Amsterdam UMC, Vrije Universiteit, Medical Microbiology, Amsterdam, The Netherlands
| | - Rob J.L. Willems
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Menno D. de Jong
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
| | - Constance Schultsz
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
- Amsterdam UMC, University of Amsterdam, Global Health - Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands
| | - Sébastien Matamoros
- Amsterdam UMC, University of Amsterdam, Medical Microbiology, Amsterdam, The Netherlands
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van der Putten BCL, Remondini D, Pasquini G, Janes VA, Matamoros S, Schultsz C. Quantifying the contribution of four resistance mechanisms to ciprofloxacin MIC inEscherichia coli: a systematic review. J Antimicrob Chemother 2018; 74:298-310. [DOI: 10.1093/jac/dky417] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 09/16/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Boas C L van der Putten
- Amsterdam UMC, University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Meibergdreef 9, Amsterdam, Netherlands
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Meibergdreef 9, Amsterdam, Netherlands
| | - Daniel Remondini
- Department of Physics and Astronomy (DIFA), University of Bologna, Viale Berti Pichat 6/2, Bologna, Bologna, Italy
| | - Giovanni Pasquini
- Department of Physics and Astronomy (DIFA), University of Bologna, Viale Berti Pichat 6/2, Bologna, Bologna, Italy
| | - Victoria A Janes
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Meibergdreef 9, Amsterdam, Netherlands
| | - Sébastien Matamoros
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Meibergdreef 9, Amsterdam, Netherlands
| | - Constance Schultsz
- Amsterdam UMC, University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Meibergdreef 9, Amsterdam, Netherlands
- Amsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Meibergdreef 9, Amsterdam, Netherlands
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Herberg JA, Kaforou M, Wright VJ, Shailes H, Eleftherohorinou H, Hoggart CJ, Cebey-Lopez M, Carter MJ, Janes VA, Gormley S, Shimizu C, Tremoulet AH, Barendregt AM, Salas A, Kanegaye J, Pollard AJ, Faust SN, Patel S, Kuijpers T, Martinon-Torres F, Burns JC, Coin LJM, Levin M. Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children. JAMA 2016; 316:835-45. [PMID: 27552617 PMCID: PMC5997174 DOI: 10.1001/jama.2016.11236] [Citation(s) in RCA: 202] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Because clinical features do not reliably distinguish bacterial from viral infection, many children worldwide receive unnecessary antibiotic treatment, while bacterial infection is missed in others. OBJECTIVE To identify a blood RNA expression signature that distinguishes bacterial from viral infection in febrile children. DESIGN, SETTING, AND PARTICIPANTS Febrile children presenting to participating hospitals in the United Kingdom, Spain, the Netherlands, and the United States between 2009-2013 were prospectively recruited, comprising a discovery group and validation group. Each group was classified after microbiological investigation as having definite bacterial infection, definite viral infection, or indeterminate infection. RNA expression signatures distinguishing definite bacterial from viral infection were identified in the discovery group and diagnostic performance assessed in the validation group. Additional validation was undertaken in separate studies of children with meningococcal disease (n = 24) and inflammatory diseases (n = 48) and on published gene expression datasets. EXPOSURES A 2-transcript RNA expression signature distinguishing bacterial infection from viral infection was evaluated against clinical and microbiological diagnosis. MAIN OUTCOMES AND MEASURES Definite bacterial and viral infection was confirmed by culture or molecular detection of the pathogens. Performance of the RNA signature was evaluated in the definite bacterial and viral group and in the indeterminate infection group. RESULTS The discovery group of 240 children (median age, 19 months; 62% male) included 52 with definite bacterial infection, of whom 36 (69%) required intensive care, and 92 with definite viral infection, of whom 32 (35%) required intensive care. Ninety-six children had indeterminate infection. Analysis of RNA expression data identified a 38-transcript signature distinguishing bacterial from viral infection. A smaller (2-transcript) signature (FAM89A and IFI44L) was identified by removing highly correlated transcripts. When this 2-transcript signature was implemented as a disease risk score in the validation group (130 children, with 23 definite bacterial, 28 definite viral, and 79 indeterminate infections; median age, 17 months; 57% male), all 23 patients with microbiologically confirmed definite bacterial infection were classified as bacterial (sensitivity, 100% [95% CI, 100%-100%]) and 27 of 28 patients with definite viral infection were classified as viral (specificity, 96.4% [95% CI, 89.3%-100%]). When applied to additional validation datasets from patients with meningococcal and inflammatory diseases, bacterial infection was identified with a sensitivity of 91.7% (95% CI, 79.2%-100%) and 90.0% (95% CI, 70.0%-100%), respectively, and with specificity of 96.0% (95% CI, 88.0%-100%) and 95.8% (95% CI, 89.6%-100%). Of the children in the indeterminate groups, 46.3% (63/136) were classified as having bacterial infection, although 94.9% (129/136) received antibiotic treatment. CONCLUSIONS AND RELEVANCE This study provides preliminary data regarding test accuracy of a 2-transcript host RNA signature discriminating bacterial from viral infection in febrile children. Further studies are needed in diverse groups of patients to assess accuracy and clinical utility of this test in different clinical settings.
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Affiliation(s)
- Jethro A Herberg
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Myrsini Kaforou
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Victoria J Wright
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Hannah Shailes
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Hariklia Eleftherohorinou
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Clive J Hoggart
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Miriam Cebey-Lopez
- Translational Paediatrics and Infectious Diseases section, Department of Paediatrics, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Galicia, Spain, and Grupo de Investigación en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Healthcare research Institute of Santiago de Compostela and Universidade de Santiago de Compostela, Spain
| | - Michael J Carter
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Victoria A Janes
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Stuart Gormley
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
| | - Chisato Shimizu
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Rady Children’s Hospital San Diego, San Diego, California, USA
| | - Adriana H Tremoulet
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Rady Children’s Hospital San Diego, San Diego, California, USA
| | - Anouk M Barendregt
- Emma Children’s Hospital, Department of Paediatric Haematology, Immunology & Infectious Disease, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Antonio Salas
- Translational Paediatrics and Infectious Diseases section, Department of Paediatrics, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Galicia, Spain, and Grupo de Investigación en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Healthcare research Institute of Santiago de Compostela and Universidade de Santiago de Compostela, Spain
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, and Instituto de Ciencias Forenses, Grupo de Medicina Xenómica, Spain
| | - John Kanegaye
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Rady Children’s Hospital San Diego, San Diego, California, USA
| | - Andrew J Pollard
- Department of Paediatrics, University of Oxford and the NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Saul N Faust
- NIHR Wellcome Trust Clinical Research Facility, University of Southampton UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sanjay Patel
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Taco Kuijpers
- Emma Children’s Hospital, Department of Paediatric Haematology, Immunology & Infectious Disease, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Sanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Federico Martinon-Torres
- Translational Paediatrics and Infectious Diseases section, Department of Paediatrics, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Galicia, Spain, and Grupo de Investigación en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Healthcare research Institute of Santiago de Compostela and Universidade de Santiago de Compostela, Spain
| | - Jane C Burns
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Rady Children’s Hospital San Diego, San Diego, California, USA
| | - Lachlan JM Coin
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland, Australia
| | - Michael Levin
- Section of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London W2 1PG, UK
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Janes VA, Minnaar R, Koen G, van Eijk H, Dijkman-de Haan K, Pajkrt D, Wolthers KC, Benschop KS. Presence of human non-polio enterovirus and parechovirus genotypes in an Amsterdam hospital in 2007 to 2011 compared to national and international published surveillance data: a comprehensive review. ACTA ACUST UNITED AC 2014; 19. [PMID: 25425513 DOI: 10.2807/1560-7917.es2014.19.46.20964] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Enteroviruses (EV) and human parechoviruses (HPeV) are endemic worldwide. These infections are a constant cause of hospitalisation and severe disease, predominantly in young children and infants. Coordinated monitoring and surveillance are crucial to control these infections. We have monitored EV and HPeV epidemiology in Amsterdam from 2007 to 2011 with real-time RT-PCR and direct genotyping, facilitating highly sensitive surveillance. Moreover, we conducted a literature survey of existing surveillance data for comparison. Only 14 studies were identified. While HPeV1 was most frequently detected in Amsterdam, EV-B viruses dominated nationally and internationally. Furthermore, the top 10 strains detected differed yearly and per study. However, detection and typing methods were too varied to allow direct comparison and comprehension of the worldwide distribution and circulation patterns of the different genotypes. This limited a direct response to anticipate peaks. Uniform European monitoring programmes are essential to aid prediction of outbreaks and disease management.
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Affiliation(s)
- V A Janes
- Emma Children s Hospital, Department of Paediatric Haematology, Immunology and Infectious Diseases, Academic Medical Center, Amsterdam, the Netherlands
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