通过使用关联规则挖掘,分析整个食品供应链的多药耐药性模式
Joshua C Glass1, Gayatri Anil2, Jordan D Zehr3
1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, United States.
Preventive veterinary medicine
|October 10, 2025
概括
牛大肠杆菌的多药耐药性 (MDR) 模式在很大程度上与去年相比稳定. 然而,MDR的多样性从零售到屠宰场增加,在农场的病牛中最高.
科学领域:
- 兽医微生物学 兽医微生物学
- 食品安全 食品安全
- 机器学习应用 机器学习应用
背景情况:
- 抗菌素耐药性是一个日益严重的全球性问题,特别是在生产食品的动物中.
- 了解牛相关的大肠杆菌中的多药性耐药性 (MDR) 对公共卫生和食品安全至关重要.
- 大肠杆菌是牛群中常见的病原体,其耐药性模式可以影响食品供应链.
研究的目的:
- 分析牛相关的大肠杆菌 (Escherichia coli) 中多药耐药性 (MDR) 模式.
- 调查MDR模式如何随着时间的推移以及食品供应链的不同阶段演变.
- 为了比较基因型和表型耐药性指标及其对应性.
主要方法:
- 机器学习,特别是关联规则挖掘,用于分析MDR数据.
- 数据集按年份,来源 (农场,屠宰场,零售) 和耐药性指标 (基因型/表型) 分层.
- 规则集在不同年份,来源和指标类型之间进行了比较,以量化变化和对应情况.
主要成果:
- 大约50%或更多的MDR模式在基因型和表型指标方面都保持了与去年相比的一致性.
- 与零售商相比,在屠宰场环境中,MDR模式的多样性更大.
- 在农场的病牛中,MDR模式的多样性最高,其次是屠宰场,然后是零售场所.
- 基因型数据更好地捕获了表型耐药性模式,而不是反过来,特别是在包括链杆菌素的情况下.
结论:
- 虽然跨年MDR模式显示稳定性,但在整个食品供应链中存在显著差异,在农场和屠宰场环境中多样性更高.
- 基因型和表型数据之间的差异表明需要更广泛的药物评估,以充分了解耐药机制.
- 致病性细菌的遗传多样性可能导致在不同环境中观察到的MDR模式的差异.
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