4.5 Article

Nanopore metagenomic sequencing of influenza virus directly from respiratory samples: diagnosis, drug resistance and nosocomial transmission, United Kingdom, 2018/19 influenza season

Journal

EUROSURVEILLANCE
Volume 26, Issue 27, Pages -

Publisher

EUR CENTRE DIS PREVENTION & CONTROL
DOI: 10.2807/1560-7917.ES.2021.26.27.2000004

Keywords

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Funding

  1. NIHR Oxford Biomedical Research Centre
  2. Health Data Research UK
  3. Wellcome Trust [110110]
  4. NIHR

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Nanopore metagenomic sequencing showed high sensitivity and specificity in detecting influenza A viruses, enabling the detection of drug resistance and different subtypes of influenza viruses, providing timely insights for antimicrobial stewardship and vaccine design. This sequencing approach also has the potential to investigate and manage nosocomial outbreaks effectively.
Background: Influenza virus presents a considerable challenge to public health by causing seasonal epidemics and occasional pandemics. Nanopore metagenomic sequencing has the potential to be deployed for near-patient testing, providing rapid infection diagnosis, rationalising antimicrobial therapy, and supporting infection-control interventions. Aim: To evaluate the applicability of this sequencing approach as a routine laboratory test for influenza in clinical settings. Methods: We conducted Oxford Nanopore Technologies (Oxford, United Kingdom (UK)) metagenomic sequencing for 180 respiratory samples from a UK hospital during the 2018/19 influenza season, and compared results to routine molecular diagnostic standards (Xpert Xpress Flu/RSV assay; BioFire FilmArray Respiratory Panel 2 assay). We investigated drug resistance, genetic diversity, and nosocomial transmission using influenza sequence data. Results: Compared to standard testing, Nanopore metagenomic sequencing was 83% (75/90) sensitive and 93% (84/90) specific for detecting influenza A viruses. Of 59 samples with haemagglutinin subtype determined, 40 were H1 and 19 H3. We identified an influenza A(H3N2) genome encoding the oseltamivir resistance 533112 mutation in neuraminidase, potentially associated with an emerging distinct intra-subtype reassortant. Whole genome phylogeny refuted suspicions of a transmission cluster in a ward, but identified two other clusters that likely reflected nosocomial transmission, associated with a predominant community-circulating strain. We also detected other potentially pathogenic viruses and bacteria from the metagenome. Conclusion: Nanopore metagenomic sequencing can detect the emergence of novel variants and drug resistance, providing timely insights into antimicrobial stewardship and vaccine design. Full genome generation can help investigate and manage nosocomial outbreaks.

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