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



Lawrence, Jennifer ORCID: 0000-0002-6678-5504, O'Hare, Danny, van Batenburg-Sherwood, Joseph, Sutton, Mark, Holmes, Alison ORCID: 0000-0001-5554-5743 and Rawson, Timothy Miles ORCID: 0000-0002-2630-9722
(2024) Innovative approaches in phenotypic beta-lactamase detection for personalised infection management. Nature communications, 15 (1). 9070-. ISSN 2041-1723, 2041-1723

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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.

Item Type: Article
Uncontrolled Keywords: Humans, Enterobacteriaceae, Enterobacteriaceae Infections, beta-Lactamases, Anti-Bacterial Agents, Microbial Sensitivity Tests, Phenotype, Precision Medicine
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 18 Nov 2024 15:54
Last Modified: 21 Jun 2025 03:18
DOI: 10.1038/s41467-024-53192-7
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3188737