Comparison of the performance of two targeted metagenomic virus capture probe-based methods using reference control materials and clinical samples.

capture probes targeted metagenomics viral diagnostics viral metagenomics

Journal

Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564

Informations de publication

Date de publication:
17 May 2024
Historique:
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: aheadofprint

Résumé

Viral enrichment by probe hybridization has been reported to significantly increase the sensitivity of viral metagenomics. This study compares the analytical performance of two targeted metagenomic virus capture probe-based methods: (i) SeqCap EZ HyperCap by Roche (ViroCap) and (ii) Twist Comprehensive Viral Research Panel workflow, for diagnostic use. Sensitivity, specificity, and limit of detection were analyzed using 25 synthetic viral sequences spiked in increasing proportions of human background DNA, eight clinical samples, and American Type Culture Collection (ATCC) Virome Virus Mix. Sensitivity and specificity were 95% and higher for both methods using the synthetic and reference controls as gold standard. Combining thresholds for viral sequence read counts and genome coverage [respectively 500 reads per million (RPM) and 10% coverage] resulted in optimal prediction of true positive results. Limits of detection were approximately 50-500 copies/mL for both methods as determined by ddPCR. Increasing proportions of spike-in cell-free human background sequences up to 99.999% (50 ng/mL) did not negatively affect viral detection, suggesting effective capture of viral sequences. These data show analytical performances in ranges applicable to clinical samples, for both probe hybridization metagenomic approaches. This study supports further steps toward more widespread use of viral metagenomics for pathogen detection, in clinical and surveillance settings using low biomass samples. Viral metagenomics has been gradually applied for broad-spectrum pathogen detection of infectious diseases, surveillance of emerging diseases, and pathogen discovery. Viral enrichment by probe hybridization methods has been reported to significantly increase the sensitivity of viral metagenomics. During the past years, a specific hybridization panel distributed by Roche has been adopted in a broad range of different clinical and zoonotic settings. Recently, Twist Bioscience has released a new hybridization panel targeting human and animal viruses. This is the first report comparing the performance of viral metagenomic hybridization panels.

Identifiants

pubmed: 38757981
doi: 10.1128/jcm.00345-24
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0034524

Auteurs

Kees Mourik (K)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Igor Sidorov (I)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Ellen C Carbo (EC)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

David van der Meer (D)

GenomeScan B.V., Leiden, the Netherlands.

Arnoud Boot (A)

GenomeScan B.V., Leiden, the Netherlands.

Aloysius C M Kroes (ACM)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Eric C J Claas (ECJ)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Stefan A Boers (SA)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Jutte J C de Vries (JJC)

Department of Medical Microbiology, Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.

Classifications MeSH