更新了Listeria monocytogenes的剂量反应模型的参数,考虑了病原体的毒性以及消费者的年龄和性别
Régis Pouillot1, Andreas Kiermeier2, Laurent Guillier3
1Independent Researcher, 18 rue Mohamed Al Ghazi, Rabat 10170, Morocco.
Foods (Basel, Switzerland)
|March 13, 2024
概括
这项研究通过结合菌株毒性来完善Listeria monocytogenes的剂量反应模型. 它发现,并发症显著影响侵袭性李斯特菌病的风险,而不是细菌菌株的毒性.
科学领域:
- 食品安全 食品安全
- 微生物学 微生物学
- 风险评估 风险评估 风险评估
背景情况:
- 准确的Listeria monocytogenes剂量反应 (DR) 模型对于评估食源性李斯特菌病风险至关重要.
- 欧洲食品安全局 (EFSA) 以前开发了一个DR模型,但没有完全考虑菌株的毒性.
研究的目的:
- 通过整合菌株毒性,开发针对Listeria monocytogenes的更新的DR模型参数.
- 改善在不同人群中预测侵袭性李斯特菌病风险.
主要方法:
- 整合了EFSA的lognormal Poisson DR模型与三种菌株毒性类别:"毒性较小"",毒性较强"和"毒性较强".
- 基于不同毒性水平和年龄-性别子组,计算出李斯特菌病的相对风险 (RRs).
- 对比了菌株毒性与并发症对侵袭性李斯特菌病风险的影响.
主要成果:
- 摄入1000种"不那么毒"和"更毒"的Listeria monocytogenes菌株的估计RRs在21.6到24.1之间,根据亚组而异.
- 伴随性疾病对侵袭性李斯特菌病风险的影响远大于细菌菌株毒性.
- 更新的模型参数可以在人口统计和毒性数据可用时更好地预测侵袭性李斯特菌病风险.
结论:
- 与宿主并发症相比,菌株毒性是侵入性李斯特菌病风险的一个不那么重要的因素.
- 改进后的DR模型可以更好地预测Listeria monocytogenes暴露的风险.
- 提供了一个R包,以促进这些增强剂量反应模型的应用.
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