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      Metagenomics characterization of respiratory viral RNA pathogens in children under five years with severe acute respiratory infection in the Free State, South Africa

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          Abstract

          Prompt detection of viral respiratory pathogens is crucial in managing respiratory infection including severe acute respiratory infection (SARI). Metagenomics next‐generation sequencing (mNGS) and bioinformatics analyses remain reliable strategies for diagnostic and surveillance purposes. This study evaluated the diagnostic utility of mNGS using multiple analysis tools compared with multiplex real‐time PCR for the detection of viral respiratory pathogens in children under 5 years with SARI. Nasopharyngeal swabs collected in viral transport media from 84 children admitted with SARI as per the World Health Organization definition between December 2020 and August 2021 in the Free State Province, South Africa, were used in this study. The obtained specimens were subjected to mNGS using the Illumina MiSeq system, and bioinformatics analysis was performed using three web‐based analysis tools; Genome Detective, One Codex and Twist Respiratory Viral Research Panel. With average reads of 211323, mNGS detected viral pathogens in 82 (97.6%) of the 84 patients. Viral aetiologies were established in nine previously undetected/missed cases with an additional bacterial aetiology ( Neisseria meningitidis) detected in one patient. Furthermore, mNGS enabled the much needed viral genotypic and subtype differentiation and provided significant information on bacterial co‐infection despite enrichment for RNA viruses. Sequences of nonhuman viruses, bacteriophages, and endogenous retrovirus K113 (constituting the respiratory virome) were also uncovered. Notably, mNGS had lower detectability rate for severe acute respiratory syndrome coronavirus 2 (missing 18/32 cases). This study suggests that mNGS, combined with multiple/improved bioinformatics tools, is practically feasible for increased viral and bacterial pathogen detection in SARI, especially in cases where no aetiological agent could be identified by available traditional methods.

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          Most cited references52

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          Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

          The Lancet, 385(9963), 117-171
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            Clinical metagenomics

            Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing how physicians diagnose and treat infectious disease, with applications spanning a wide range of areas, including antimicrobial resistance, the microbiome, human host gene expression (transcriptomics) and oncology. Here, we focus on the challenges of implementing mNGS in the clinical laboratory and address potential solutions for maximizing its impact on patient care and public health.
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              Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection

              Nearly all infectious agents contain DNA or RNA genomes, making sequencing an attractive approach for pathogen detection. The cost of high-throughput or next-generation sequencing has been reduced by several orders of magnitude since its advent in 2004, and it has emerged as an enabling technological platform for the detection and taxonomic characterization of microorganisms in clinical samples from patients. This review focuses on the application of untargeted metagenomic next-generation sequencing to the clinical diagnosis of infectious diseases, particularly in areas in which conventional diagnostic approaches have limitations. The review covers ( a) next-generation sequencing technologies and common platforms, ( b) next-generation sequencing assay workflows in the clinical microbiology laboratory, ( c) bioinformatics analysis of metagenomic next-generation sequencing data, ( d) validation and use of metagenomic next-generation sequencing for diagnosing infectious diseases, and ( e) significant case reports and studies in this area. Next-generation sequencing is a new technology that has the promise to enhance our ability to diagnose, interrogate, and track infectious diseases.
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                Author and article information

                Contributors
                nyagamm@ufs.ac.za
                Journal
                J Med Virol
                J Med Virol
                10.1002/(ISSN)1096-9071
                JMV
                Journal of Medical Virology
                John Wiley and Sons Inc. (Hoboken )
                0146-6615
                1096-9071
                27 April 2023
                May 2023
                : 95
                : 5 ( doiID: 10.1002/jmv.v95.5 )
                : e28753
                Affiliations
                [ 1 ] Next Generation Sequencing Unit and Division of Virology Faculty of Health Sciences, University of the Free State Bloemfontein South Africa
                [ 2 ] Department of Biotechnology and Food Science Durban University of Technology Durban South Africa
                Author notes
                [*] [* ] Correspondence Martin M. Nyaga, Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein 9300, South Africa.

                Email: nyagamm@ 123456ufs.ac.za

                Article
                JMV28753
                10.1002/jmv.28753
                10952945
                37212321
                6b911f15-0ef0-45d6-a04a-97b88f29bc87
                © 2023 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 March 2023
                : 16 November 2022
                : 03 April 2023
                Page count
                Figures: 3, Tables: 2, Pages: 10, Words: 6635
                Funding
                Funded by: Poliomyelitis Research Foundation , doi 10.13039/501100001323;
                Funded by: Bill and Melinda Gates Foundation , doi 10.13039/100000865;
                Funded by: South African Medical Research Council , doi 10.13039/501100001322;
                Funded by: National Research Foundation , doi 10.13039/501100001321;
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:20.03.2024

                Microbiology & Virology
                children,metagenomics,nasopharyngeal swab,next‐generation sequencing,severe acute respiratory infection,viral rna pathogens

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