Author:
Lopez-Labrador F. Xavier,Huber Michael,Sidorov Igor A.,Brown Julianne R.,Cuypers Lize,Laenen Lies,Vanmechelen Bert,Maes Piet,Fischer Nicole,Pichler Ian,Storey Nathaniel,Schmutz Stefan,Kufner Verena,van Boheemen Sander,Mulders Claudia E.,Grundhoff Adam,Blümke Patrick,Robitaille Alexis,Cinek Ondrej,Hubáčková Klára,Mourik Kees,Boers Stefan A.,Stauber Lea,Salmona Maud,Cappy Pierre,Ramette Alban,Franze’ Alessandra,LeGoff Jerome,Claas Eric C.J.,Rodriguez Christophe,de Vries Jutte J.C.,
Abstract
AbstractMetagenomics 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 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 104copies/ml (corresponding to C values of 31 in our assays) were detected by all the evaluated metagenomic wet-lab protocols. In contrast, lower abundant mixed viruses of CTvalues 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.
Publisher
Cold Spring Harbor Laboratory