Title: | Metabolic phenotyping of acquired ampicillin resistance using microbial volatiles from Escherichia coli cultures |
Author(s): | Dixon B; Ahmed WM; Mohamed AA; Felton T; Fowler SJ; |
Address: | "Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK. Manchester Institute of Biotechnology, University of Manchester, Manchester, UK. Department of Materials, Faculty of Science and Engineering, University of Manchester, Manchester, UK. NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, UK" |
ISSN/ISBN: | 1365-2672 (Electronic) 1364-5072 (Print) 1364-5072 (Linking) |
Abstract: | "AIMS: This study sought to assess the volatile organic compound (VOC) profiles of ampicillin-resistant and -susceptible Escherichia coli to evaluate whether VOC analysis may be utilized to identify resistant phenotypes. METHODS AND RESULTS: An E. coli BL21 (DE3) strain and its pET16b plasmid transformed ampicillin-resistant counterpart were cultured for 6 h in drug-free, low- and high-concentrations of ampicillin. Headspace analysis was undertaken using thermal desorption-gas chromatography-mass spectrometry. Results revealed distinct VOC profiles with ampicillin-resistant bacteria distinguishable from their susceptible counterparts using as few as six compounds. A minimum of 30 compounds (fold change >2, p = 0.05) were differentially expressed between the strains across all set-ups. Furthermore, three compounds (indole, acetoin and 3-methyl-1-butanol) were observed to be significantly more abundant (fold change >2, p = 0.05) in the resistant strain compared to the susceptible strain both in the presence and in the absence of drug stress. CONCLUSIONS: Results indicate that E. coli with acquired ampicillin resistance exhibit an altered VOC profile compared to their susceptible counterpart both in the presence and in the absence of antibiotic stress. This suggests that there are fundamental differences between the metabolisms of ampicillin-resistant and -susceptible E. coli which may be detected by means of VOC analysis. SIGNIFICANCE AND IMPACT OF THE STUDY: Our findings suggest that VOC profiles may be utilized to differentiate between resistant and susceptible bacteria using just six compounds. Consequently, the development of machine-learning models using VOC signatures shows considerable diagnostic applicability for the rapid and accurate detection of antimicrobial resistance" |
Keywords: | Acetoin Ampicillin/pharmacology Ampicillin Resistance/genetics Anti-Bacterial Agents/pharmacology/therapeutic use Bacteria Escherichia coli/genetics *Escherichia coli Infections/microbiology Humans Indoles Microbial Sensitivity Tests *Volatile Organic Com; |
Notes: | "MedlineDixon, Breanna Ahmed, Waqar M Mohamed, Abubaker A Felton, Tim Fowler, Stephen J eng NIHR Manchester Biomedical Research Centre/ BB/M011208/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom BB/T008725/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom England 2022/07/15 J Appl Microbiol. 2022 Oct; 133(4):2445-2456. doi: 10.1111/jam.15716. Epub 2022 Aug 2" |