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Distinct patterns of within-host virus populations between two subgroups of human respiratory syncytial virus.

Gu-Lung LinSimon B DrysdaleMatthew D SnapeDaniel O' ConnorAnthony BrownGeorge MacIntyre-CockettEsther Mellado-GomezMariateresa de CesareDavid BonsallM Azim AnsariDeniz ÖnerJeroen AerssensChristopher ButlerLouis BontPeter J M OpenshawFederico M TorresHarish NairRory Bowdennull nullTanya GolubchikAndrew J Pollard
Published in: Nature communications (2021)
Human respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infection in young children globally, but little is known about within-host RSV diversity. Here, we characterised within-host RSV populations using deep-sequencing data from 319 nasopharyngeal swabs collected during 2017-2020. RSV-B had lower consensus diversity than RSV-A at the population level, while exhibiting greater within-host diversity. Two RSV-B consensus sequences had an amino acid alteration (K68N) in the fusion (F) protein, which has been associated with reduced susceptibility to nirsevimab (MEDI8897), a novel RSV monoclonal antibody under development. In addition, several minor variants were identified in the antigenic sites of the F protein, one of which may confer resistance to palivizumab, the only licensed RSV monoclonal antibody. The differences in within-host virus populations emphasise the importance of monitoring for vaccine efficacy and may help to explain the different prevalences of monoclonal antibody-escape mutants between the two subgroups.
Keyphrases
  • respiratory syncytial virus
  • monoclonal antibody
  • respiratory tract
  • amino acid
  • machine learning
  • electronic health record
  • single cell
  • deep learning