کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5667090 1591747 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling of tetracycline resistance gene transfer by commensal Escherichia coli food isolates that survived in gastric fluid conditions
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروبیولوژی و بیوتکنولوژی کاربردی
پیش نمایش صفحه اول مقاله
Modelling of tetracycline resistance gene transfer by commensal Escherichia coli food isolates that survived in gastric fluid conditions
چکیده انگلیسی


- Probabilistic exposure model was used to estimate antimicrobial resistance gene transfer in the human gut.
- Acid resistance and kinetic behaviour of E. coli survival were analysed in gastric pH conditions.
- Simulation results suggest that 22-33% of commensal E. coli can survive under gastric pH conditions of Koreans.
- Estimated mean tet(A) transfer rate by commensal E. coli was 1.68 × 10-4-8.15 × 10-4 log CFU/mL/h.

Antimicrobial resistance (AR) is a major public health concern and a food safety issue worldwide. Escherichia coli strains, indicators of antibiotic resistance, are a source of horizontal gene transfer to other bacteria in the human intestinal system. A probabilistic exposure model was used to estimate the transfer of the AR gene tet(A). The acid resistance and kinetic behaviour of E. coli was analysed as a function of pH to describe the inactivation of E. coli in simulated gastric fluid (SGF), the major host barrier against exogenous micro-organisms. The kinetic parameters of microbial inactivation in SGF were estimated using GInaFiT, and log-linear + tail and Weibull models were found to be suitable for commensal and enterohaemorrhagic E. coli (EHEC), respectively. A probabilistic exposure model was developed to estimate E. coli survival in gastric pH conditions as well as gene transfer from resistant to susceptible cells in humans. E. coli-contaminated retail foods for consumption without further cooking and gastric pH data in South Korea were considered as an example. The model predicts that 22-33% of commensal E. coli can survive under gastric pH conditions of Koreans. The estimated total mean tet(A) transfer level by commensal E. coli was 1.68 × 10-4-8.15 × 10-4 log CFU/mL/h. The inactivation kinetic parameters of E. coli in SGF and the quantitative exposure model can provide useful information regarding risk management options to control the spread of AR.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Antimicrobial Agents - Volume 49, Issue 1, January 2017, Pages 81-87
نویسندگان
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