期刊
ADVANCES IN MEDICAL SCIENCES
卷 67, 期 1, 页码 1-9出版社
ELSEVIER URBAN & PARTNER SP Z O O
DOI: 10.1016/j.advms.2021.09.001
关键词
Volatile organic compounds; Gas chromatography-mass spectrometry; Metal-oxide sensor; Antibiotic resistance; Urinary tract infection
资金
- National Institute for Health Research (NIHR) Research Capability Funding (RCF)
- Avon Primary Care Research Collaborative
The study demonstrates the potential of VOC analysis using a GC-MS/MOS system for early detection of CTX-M-producing, antibiotic-resistant E. coli responsible for UTIs. Significant effects were observed for MOS signals and two-way interactions, indicating the ability to distinguish bacteria within 2 hours after antibiotic addition.
Purpose: Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. Previous work has demonstrated that differences in antimicrobial susceptibility can be reflected in differences in the profile of volatile organic compounds (VOCs) produced by dissimilar strains. The aim of this study was to investigate the effect of the presence of cephalosporin antibiotics on the VOC profile of extended spectrum beta-lactamase (ESBL) and non-ESBL producing strains of Escherichia coli. Material and methods: In this study, VOCs from strains of Escherichia coli positive and negative for the most commonly encountered ESBL, CTX-M in the presence of cephalosporin antibiotics were assessed using solid-phase microextraction (SPME) coupled with a combined gas chromatography-mass spectrometry/metal oxide sensor (GC-MS/MOS) system. Results: Our proof-of-concept study allowed for distinguishing CTX-M positive and negative bacteria within 2 h after the addition of antibiotics. One MOS signal (RT: 22.6) showed a statistically significant three-way interaction (p = 0.033) in addition to significant two-way interactions for culture and additive (p = 0.046) plus time and additive (p = 0.020). There were also significant effects observed for time (p = 0.009), culture (p = 0.030) and additive (p = 0.028). No effects were observed in the MS data. Conclusions: The results of our study showed the potential of VOC analysis using SPME combined with a GC-MS/ MOS system for the early detection of CTX-M-producing, antibiotic-resistant E. coli, responsible for urinary tract infections (UTIs).
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