F. Xavier Lopez-Labrador , Michael Huber , Igor A. Sidorov , Julianne R. Brown , Lize Cuypers , Lies Laenen , Bert Vanmechelen , Piet Maes , Nicole Fischer , Ian Pichler , Nathaniel Storey , Laura Atkinson , Stefan Schmutz , Verena Kufner , Sander van Boheemen , Claudia E. Mulders , Adam Grundhoff , Patrick Blümke , Alexis Robitaille , Ondrej Cinek , Jutte J.C. de Vries
{"title":"Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics","authors":"F. Xavier Lopez-Labrador , Michael Huber , Igor A. Sidorov , Julianne R. Brown , Lize Cuypers , Lies Laenen , Bert Vanmechelen , Piet Maes , Nicole Fischer , Ian Pichler , Nathaniel Storey , Laura Atkinson , Stefan Schmutz , Verena Kufner , Sander van Boheemen , Claudia E. Mulders , Adam Grundhoff , Patrick Blümke , Alexis Robitaille , Ondrej Cinek , Jutte J.C. de Vries","doi":"10.1016/j.jcv.2024.105695","DOIUrl":null,"url":null,"abstract":"<div><p>Metagenomics is gradually being implemented for diagnosing infectious diseases. However, in-depth protocol comparisons for viral detection have been limited to individual sets of experimental workflows and laboratories. In this study, we present a benchmark of metagenomics protocols used in clinical diagnostic laboratories initiated by the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS).</p><p>A mock viral reference panel was designed to mimic low biomass clinical specimens. The panel was used to assess the performance of twelve metagenomic wet lab protocols currently in use in the diagnostic laboratories of participating ENNGS member institutions. Both Illumina and Nanopore, shotgun and targeted capture probe protocols were included. Performance metrics sensitivity, specificity, and quantitative potential were assessed using a central bioinformatics pipeline.</p><p>Overall, viral pathogens with loads down to 10<sup>4</sup> copies/ml (corresponding to C<sub>T</sub> values of 31 in our PCR assays) were detected by all the evaluated metagenomic wet lab protocols. In contrast, lower abundant mixed viruses of C<sub>T</sub> values of 35 and higher were detected only by a minority of the protocols. Considering the reference panel as the gold standard, optimal thresholds to define a positive result were determined per protocol, based on the horizontal genome coverage. Implementing these thresholds, sensitivity and specificity of the protocols ranged from 67 to 100 % and 87 to 100 %, respectively.</p><p>A variety of metagenomic protocols are currently in use in clinical diagnostic laboratories. Detection of low abundant viral pathogens and mixed infections remains a challenge, implying the need for standardization of metagenomic analysis for use in clinical settings.</p></div>","PeriodicalId":15517,"journal":{"name":"Journal of Clinical Virology","volume":"173 ","pages":"Article 105695"},"PeriodicalIF":4.0000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S138665322400057X/pdfft?md5=22ce2b90dc93fb6b9779951463075d74&pid=1-s2.0-S138665322400057X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Virology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S138665322400057X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"VIROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Metagenomics is gradually being implemented for diagnosing infectious diseases. However, in-depth protocol comparisons for viral detection have been limited to individual sets of experimental workflows and laboratories. In this study, we present a benchmark of metagenomics protocols used in clinical diagnostic laboratories initiated by the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS).
A mock viral reference panel was designed to mimic low biomass clinical specimens. The panel was used to assess the performance of twelve metagenomic wet lab protocols currently in use in the diagnostic laboratories of participating ENNGS member institutions. Both Illumina and Nanopore, shotgun and targeted capture probe protocols were included. Performance metrics sensitivity, specificity, and quantitative potential were assessed using a central bioinformatics pipeline.
Overall, viral pathogens with loads down to 104 copies/ml (corresponding to CT values of 31 in our PCR assays) were detected by all the evaluated metagenomic wet lab protocols. In contrast, lower abundant mixed viruses of CT values of 35 and higher were detected only by a minority of the protocols. Considering the reference panel as the gold standard, optimal thresholds to define a positive result were determined per protocol, based on the horizontal genome coverage. Implementing these thresholds, sensitivity and specificity of the protocols ranged from 67 to 100 % and 87 to 100 %, respectively.
A variety of metagenomic protocols are currently in use in clinical diagnostic laboratories. Detection of low abundant viral pathogens and mixed infections remains a challenge, implying the need for standardization of metagenomic analysis for use in clinical settings.
期刊介绍:
The Journal of Clinical Virology, an esteemed international publication, serves as the official journal for both the Pan American Society for Clinical Virology and The European Society for Clinical Virology. Dedicated to advancing the understanding of human virology in clinical settings, the Journal of Clinical Virology focuses on disseminating research papers and reviews pertaining to the clinical aspects of virology. Its scope encompasses articles discussing diagnostic methodologies and virus-induced clinical conditions, with an emphasis on practicality and relevance to clinical practice.
The journal publishes on topics that include:
• new diagnostic technologies
• nucleic acid amplification and serologic testing
• targeted and metagenomic next-generation sequencing
• emerging pandemic viral threats
• respiratory viruses
• transplant viruses
• chronic viral infections
• cancer-associated viruses
• gastrointestinal viruses
• central nervous system viruses
• one health (excludes animal health)