Evidence map›Paper›PMID 38696336›Full record

ArticleThe Journal of infectious diseases2024

Validation of an Automated, End-to-End Metagenomic Sequencing Assay for Agnostic Detection of Respiratory Viruses.

Nick P G Gauthier, Wilson Chan, Kerstin Locher, Duane Smailus, Robin Coope, Marthe Charles, Agatha Jassem, Jennifer Kopetzky, Samuel D Chorlton, Amee R Manges

Abstract readValidation Study
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nick P G GauthierDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-9484-6223
Wilson ChanSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Kerstin LocherDivision of Medical Microbiology, Vancouver General Hospital, Vancouver, British Columbia, Canada.ORCID 0000-0002-0175-3747
Duane SmailusCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, British Columbia, Canada.ORCID 0000-0002-7526-3409
Robin CoopeCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, British Columbia, Canada.ORCID 0000-0002-4685-3506
Marthe CharlesDivision of Medical Microbiology, Vancouver General Hospital, Vancouver, British Columbia, Canada.ORCID 0000-0002-3663-0974
Agatha JassemBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.ORCID 0000-0002-4128-2919
Jennifer KopetzkyBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Samuel D ChorltonBugSeq Bioinformatics Inc, Vancouver, British Columbia, Canada.ORCID 0000-0002-7963-4756
Amee R MangesSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-2462-7249

Funding

Biomedical Advanced Research and Development AuthorityHHS 75A50122C00027)
6 · The paper itself

Abstract

backgroundCurrent molecular diagnostics are limited in the number and type of detectable pathogens. Metagenomic next-generation sequencing (mNGS) is an emerging, and increasingly feasible, pathogen-agnostic diagnostic approach. Translational barriers prohibit the widespread adoption of this technology in clinical laboratories. We validate an end-to-end mNGS assay for detection of respiratory viruses. Our assay is optimized to reduce turnaround time, lower cost per sample, increase throughput, and deploy secure and actionable bioinformatic results.

methodsWe validated our assay using residual nasopharyngeal swab specimens from Vancouver General Hospital (n = 359), which were reverse-transcription polymerase chain reaction positive, or negative for influenza, severe acute respiratory syndrome coronavirus 2, and respiratory syncytial virus. We quantified sample stability, assay precision, the effect of background nucleic acid levels, and analytical limits of detection. Diagnostic performance metrics were estimated.

resultsWe report that our mNGS assay is highly precise and semiquantitative, with analytical limits of detection ranging from 103 to 104 copies/mL. Our assay is highly specific (100%) and sensitive (61.9% overall: 86.8%; reverse-transcription polymerase chain reaction cycle threshold < 30). Multiplexing capabilities enable processing of up to 55 specimens simultaneously on an Oxford Nanopore GridION device, with results reported within 12 hours.

conclusionsThis study report outlines the diagnostic performance and feasibility of mNGS for respiratory viral diagnostics, infection control, and public health surveillance. We addressed translational barriers to widespread mNGS adoption.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsNasopharynxRespiratory Tract InfectionsHumansMolecular Diagnostic TechniquesSARS-CoV-2Sensitivity and SpecificityVirusesmetagenomicmolecular diagnosticnext-generation sequencingviral diagnostics

Identifiers

PMID38696336
PMCPMC11646614

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.