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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.
Ogunbayo, Ayodeji E; Mogotsi, Milton T; Sondlane, Hlengiwe; Sabiu, Saheed; Nyaga, Martin M.
Afiliação
  • Ogunbayo AE; Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.
  • Mogotsi MT; Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.
  • Sondlane H; Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.
  • Sabiu S; Department of Biotechnology and Food Science, Durban University of Technology, Durban, South Africa.
  • Nyaga MM; Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.
J Med Virol ; 95(5): e28753, 2023 05.
Article em En | MEDLINE | ID: mdl-37212321
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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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Vírus de RNA / Infecções Bacterianas / Vírus / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Child / Child, preschool / Humans País/Região como assunto: Africa Idioma: En Revista: J Med Virol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Vírus de RNA / Infecções Bacterianas / Vírus / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Child / Child, preschool / Humans País/Região como assunto: Africa Idioma: En Revista: J Med Virol Ano de publicação: 2023 Tipo de documento: Article