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Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients
Viruses are the main cause of respiratory tract infections. Metagenomic next-generation sequencing (mNGS) enables unbiased detection of all potential pathogens. To apply mNGS in viral diagnostics, sensitive and simultaneous detection of RNA and DNA viruses is needed. Herein, were studied the perform...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106021/ https://www.ncbi.nlm.nih.gov/pubmed/31837435 http://dx.doi.org/10.1016/j.jmoldx.2019.10.007 |
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author | van Boheemen, Sander van Rijn, Anneloes L. Pappas, Nikos Carbo, Ellen C. Vorderman, Ruben H.P. Sidorov, Igor van `t Hof, Peter J. Mei, Hailiang Claas, Eric C.J. Kroes, Aloys C.M. de Vries, Jutte J.C. |
author_facet | van Boheemen, Sander van Rijn, Anneloes L. Pappas, Nikos Carbo, Ellen C. Vorderman, Ruben H.P. Sidorov, Igor van `t Hof, Peter J. Mei, Hailiang Claas, Eric C.J. Kroes, Aloys C.M. de Vries, Jutte J.C. |
author_sort | van Boheemen, Sander |
collection | PubMed |
description | Viruses are the main cause of respiratory tract infections. Metagenomic next-generation sequencing (mNGS) enables unbiased detection of all potential pathogens. To apply mNGS in viral diagnostics, sensitive and simultaneous detection of RNA and DNA viruses is needed. Herein, were studied the performance of an in-house mNGS protocol for routine diagnostics of viral respiratory infections with potential for automated pan-pathogen detection. The sequencing protocol and bioinformatics analysis were designed and optimized, including exogenous internal controls. Subsequently, the protocol was retrospectively validated using 25 clinical respiratory samples. The developed protocol using Illumina NextSeq 500 sequencing showed high repeatability. Use of the National Center for Biotechnology Information’s RefSeq database as opposed to the National Center for Biotechnology Information’s nucleotide database led to enhanced specificity of classification of viral pathogens. A correlation was established between read counts and PCR cycle threshold value. Sensitivity of mNGS, compared with PCR, varied up to 83%, with specificity of 94%, dependent on the cutoff for defining positive mNGS results. Viral pathogens only detected by mNGS, not present in the routine diagnostic workflow, were influenza C, KI polyomavirus, cytomegalovirus, and enterovirus. Sensitivity and analytical specificity of this mNGS protocol were comparable to PCR and higher when considering off-PCR target viral pathogens. One single test detected all potential viral pathogens and simultaneously obtained detailed information on detected viruses. |
format | Online Article Text |
id | pubmed-7106021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71060212020-03-31 Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients van Boheemen, Sander van Rijn, Anneloes L. Pappas, Nikos Carbo, Ellen C. Vorderman, Ruben H.P. Sidorov, Igor van `t Hof, Peter J. Mei, Hailiang Claas, Eric C.J. Kroes, Aloys C.M. de Vries, Jutte J.C. J Mol Diagn Article Viruses are the main cause of respiratory tract infections. Metagenomic next-generation sequencing (mNGS) enables unbiased detection of all potential pathogens. To apply mNGS in viral diagnostics, sensitive and simultaneous detection of RNA and DNA viruses is needed. Herein, were studied the performance of an in-house mNGS protocol for routine diagnostics of viral respiratory infections with potential for automated pan-pathogen detection. The sequencing protocol and bioinformatics analysis were designed and optimized, including exogenous internal controls. Subsequently, the protocol was retrospectively validated using 25 clinical respiratory samples. The developed protocol using Illumina NextSeq 500 sequencing showed high repeatability. Use of the National Center for Biotechnology Information’s RefSeq database as opposed to the National Center for Biotechnology Information’s nucleotide database led to enhanced specificity of classification of viral pathogens. A correlation was established between read counts and PCR cycle threshold value. Sensitivity of mNGS, compared with PCR, varied up to 83%, with specificity of 94%, dependent on the cutoff for defining positive mNGS results. Viral pathogens only detected by mNGS, not present in the routine diagnostic workflow, were influenza C, KI polyomavirus, cytomegalovirus, and enterovirus. Sensitivity and analytical specificity of this mNGS protocol were comparable to PCR and higher when considering off-PCR target viral pathogens. One single test detected all potential viral pathogens and simultaneously obtained detailed information on detected viruses. American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. 2020-02 2019-12-16 /pmc/articles/PMC7106021/ /pubmed/31837435 http://dx.doi.org/10.1016/j.jmoldx.2019.10.007 Text en © 2020 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article van Boheemen, Sander van Rijn, Anneloes L. Pappas, Nikos Carbo, Ellen C. Vorderman, Ruben H.P. Sidorov, Igor van `t Hof, Peter J. Mei, Hailiang Claas, Eric C.J. Kroes, Aloys C.M. de Vries, Jutte J.C. Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title | Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title_full | Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title_fullStr | Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title_full_unstemmed | Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title_short | Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients |
title_sort | retrospective validation of a metagenomic sequencing protocol for combined detection of rna and dna viruses using respiratory samples from pediatric patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106021/ https://www.ncbi.nlm.nih.gov/pubmed/31837435 http://dx.doi.org/10.1016/j.jmoldx.2019.10.007 |
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