Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics

Standard

Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics. / 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; Atkinson, Laura; 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; European Society of Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS).

in: J CLIN VIROL, Jahrgang 173, 08.2024, S. 105695.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Lopez-Labrador, FX, Huber, M, Sidorov, IA, Brown, JR, Cuypers, L, Laenen, L, Vanmechelen, B, Maes, P, Fischer, N, Pichler, I, Storey, N, Atkinson, L, Schmutz, S, Kufner, V, van Boheemen, S, Mulders, CE, Grundhoff, A, Blümke, P, Robitaille, A, Cinek, O, Hubáčková, K, Mourik, K, Boers, SA, Stauber, L, Salmona, M, Cappy, P, Ramette, A, Franze', A, LeGoff, J, Claas, ECJ, Rodriguez, C, de Vries, JJC & European Society of Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS) 2024, 'Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics', J CLIN VIROL, Jg. 173, S. 105695. https://doi.org/10.1016/j.jcv.2024.105695

APA

Lopez-Labrador, F. X., Huber, M., Sidorov, I. A., Brown, J. R., Cuypers, L., Laenen, L., Vanmechelen, B., Maes, P., Fischer, N., Pichler, I., Storey, N., Atkinson, L., Schmutz, S., Kufner, V., van Boheemen, S., Mulders, C. E., Grundhoff, A., Blümke, P., Robitaille, A., ... European Society of Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS) (2024). Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics. J CLIN VIROL, 173, 105695. https://doi.org/10.1016/j.jcv.2024.105695

Vancouver

Lopez-Labrador FX, Huber M, Sidorov IA, Brown JR, Cuypers L, Laenen L et al. Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics. J CLIN VIROL. 2024 Aug;173:105695. https://doi.org/10.1016/j.jcv.2024.105695

Bibtex

@article{a1b281f5fe2b4a1a8f181800944251bd,
title = "Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics",
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.",
keywords = "Metagenomics/methods, Humans, Benchmarking, Viruses/genetics, Sensitivity and Specificity, High-Throughput Nucleotide Sequencing/methods, Virus Diseases/diagnosis, Computational Biology/methods",
author = "Lopez-Labrador, {F Xavier} and Michael Huber and Sidorov, {Igor A} and Brown, {Julianne R} and Lize Cuypers and Lies Laenen and Bert Vanmechelen and Piet Maes and Nicole Fischer and Ian Pichler and Nathaniel Storey and Laura Atkinson and Stefan Schmutz and Verena Kufner and {van Boheemen}, Sander and Mulders, {Claudia E} and Adam Grundhoff and Patrick Bl{\"u}mke and Alexis Robitaille and Ondrej Cinek and Kl{\'a}ra Hub{\'a}{\v c}kov{\'a} and Kees Mourik and Boers, {Stefan A} and Lea Stauber and Maud Salmona and Pierre Cappy and Alban Ramette and Alessandra Franze' and Jerome LeGoff and Claas, {Eric C J} and Christophe Rodriguez and {de Vries}, {Jutte J C} and {European Society of Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS)}",
note = "Copyright {\textcopyright} 2024 The Author(s). Published by Elsevier B.V. All rights reserved.",
year = "2024",
month = aug,
doi = "10.1016/j.jcv.2024.105695",
language = "English",
volume = "173",
pages = "105695",
journal = "J CLIN VIROL",
issn = "1386-6532",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics

AU - Lopez-Labrador, F Xavier

AU - Huber, Michael

AU - Sidorov, Igor A

AU - Brown, Julianne R

AU - Cuypers, Lize

AU - Laenen, Lies

AU - Vanmechelen, Bert

AU - Maes, Piet

AU - Fischer, Nicole

AU - Pichler, Ian

AU - Storey, Nathaniel

AU - Atkinson, Laura

AU - Schmutz, Stefan

AU - Kufner, Verena

AU - van Boheemen, Sander

AU - Mulders, Claudia E

AU - Grundhoff, Adam

AU - Blümke, Patrick

AU - Robitaille, Alexis

AU - Cinek, Ondrej

AU - Hubáčková, Klára

AU - Mourik, Kees

AU - Boers, Stefan A

AU - Stauber, Lea

AU - Salmona, Maud

AU - Cappy, Pierre

AU - Ramette, Alban

AU - Franze', Alessandra

AU - LeGoff, Jerome

AU - Claas, Eric C J

AU - Rodriguez, Christophe

AU - de Vries, Jutte J C

AU - European Society of Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS)

N1 - Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

PY - 2024/8

Y1 - 2024/8

N2 - 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.

AB - 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.

KW - Metagenomics/methods

KW - Humans

KW - Benchmarking

KW - Viruses/genetics

KW - Sensitivity and Specificity

KW - High-Throughput Nucleotide Sequencing/methods

KW - Virus Diseases/diagnosis

KW - Computational Biology/methods

U2 - 10.1016/j.jcv.2024.105695

DO - 10.1016/j.jcv.2024.105695

M3 - SCORING: Journal article

C2 - 38823290

VL - 173

SP - 105695

JO - J CLIN VIROL

JF - J CLIN VIROL

SN - 1386-6532

ER -