Enzymatic Antimicrobial Susceptibility Testing with Bacteria Identification in 30 min

Wenshuai Wu, Boran Zhang*, Weihong Yin, Liping Xia, Yuanjie Suo, Gaozhe Cai, Yang Liu, Wei Jin, Qianbin Zhao*, Ying Mu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Rapid antimicrobial susceptibility testing (AST) with the ability of bacterial identification is urgently needed for evidence-based antibiotic prescription. Herein, we propose an enzymatic AST (enzyAST) that employs β-d-glucuronidase as a biomarker to identify pathogens and profile phenotypic susceptibilities simultaneously. EnzyAST enables to offer binary AST results within 30 min, much faster than standard methods (>16 h). The general applicability of enzyAST was verified by testing the susceptibility of two Escherichia coli strains to three antibiotics with different action mechanisms. The pilot study also shows that the minimal inhibitory concentrations can be determined by enzyAST with the statistical analysis of enzymatic activity of the bacteria population exposed to varying antibiotic concentrations. With further development of multiple bacteria and sample treatment, enzyAST could be able to evaluate the susceptibility of pathogens in clinical samples directly to facilitate the evidence-based therapy.

Original languageEnglish
Pages (from-to)16426-16432
Number of pages7
JournalAnalytical Chemistry
Volume95
Issue number44
DOIs
Publication statusPublished - 7 Nov 2023

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