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Innovative approaches in phenotypic beta-lactamase detection for personalised infection management

Author

Listed:
  • Jennifer Lawrence

    (Hammersmith Campus
    Imperial College London)

  • Danny O’Hare

    (Imperial College London
    South Kensington Campus)

  • Joseph Batenburg-Sherwood

    (White City Campus)

  • Mark Sutton

    (Porton Down
    King’s College London)

  • Alison Holmes

    (Hammersmith Campus
    Imperial College London
    University of Liverpool)

  • Timothy Miles Rawson

    (Hammersmith Campus
    Imperial College London)

Abstract

Beta-lactamase-producing Enterobacteriaceae present a significant therapeutic challenge. Current developments in phenotypic diagnostics focus primarily on rapid minimum inhibitory concentration (MIC) determination. There is a requirement for rapid phenotypic diagnostics to improve antimicrobial susceptibility tests (AST) and aid prescribing decisions. Phenotypic AST are limited in their ability to characterise beta-lactamase-producing Enterobacteriaceae in detail. Despite advances in rapid AST, gaps and opportunities remain for developing additional diagnostic approaches that facilitate personalised antimicrobial prescribing. In this perspective, we highlight the state-of-the-art in beta-lactamase detection, identify gaps in current practice, and discuss barriers for innovation within this field.

Suggested Citation

  • Jennifer Lawrence & Danny O’Hare & Joseph Batenburg-Sherwood & Mark Sutton & Alison Holmes & Timothy Miles Rawson, 2024. "Innovative approaches in phenotypic beta-lactamase detection for personalised infection management," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53192-7
    DOI: 10.1038/s41467-024-53192-7
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