Identification of missed viruses by metagenomic sequencing of clinical respiratory samples from Kenya

Phan, M. V. T., Agoti, C. N., Munywoki, P. K., Otieno, G. P., Ngama, M., Kellam, P., Cotten, M. and Nokes, D. J. (2022) Identification of missed viruses by metagenomic sequencing of clinical respiratory samples from Kenya. Scientific Reports, 12, 202. (doi: 10.1038/s41598-021-03987-1) (PMID:34997042) (PMCID:PMC8742071)

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Abstract

Pneumonia remains a major cause of mortality and morbidity. Most molecular diagnoses of viruses rely on polymerase chain reaction (PCR) assays that however can fail due to primer mismatch. We investigated the performance of routine virus diagnostics in Kilifi, Kenya, using random-primed viral next generation sequencing (viral NGS) on respiratory samples which tested negative for the common viral respiratory pathogens by a local standard diagnostic panel. Among 95 hospitalised pneumonia patients and 95 household-cohort individuals, analysis of viral NGS identified at least one respiratory-associated virus in 35 (37%) and 23 (24%) samples, respectively. The majority (66%; 42/64) belonged to the Picornaviridae family. The NGS data analysis identified a number of viruses that were missed by the diagnostic panel (rhinovirus, human metapneumovirus, respiratory syncytial virus and parainfluenza virus), and these failures could be attributed to PCR primer/probe binding site mismatches. Unexpected viruses identified included parvovirus B19, enterovirus D68, coxsackievirus A16 and A24 and rubella virus. The regular application of such viral NGS could help evaluate assay performance, identify molecular causes of missed diagnoses and reveal gaps in the respiratory virus set used for local screening assays. The results can provide actionable information to improve the local pneumonia diagnostics and reveal locally important viral pathogens.

Item Type:Articles
Additional Information:Funding: This study was funded by the Wellcome Trust (Grant Numbers 102975, 090853).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Cotten, Professor Matthew
Authors: Phan, M. V. T., Agoti, C. N., Munywoki, P. K., Otieno, G. P., Ngama, M., Kellam, P., Cotten, M., and Nokes, D. J.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research
Journal Name:Scientific Reports
Publisher:Nature Research
ISSN:2045-2322
ISSN (Online):2045-2322
Copyright Holders:Copyright © The Author(s) 2022
First Published:First published in Scientific Reports 12(1):202
Publisher Policy:Reproduced under a Creative Commons Licence

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