Chen Yuhuan, Ross William H, Gray Michael J, Wiedmann Martin, Whiting Richard C, Scott Virginia N
Food Products Association, Washington, DC 20005, USA.
J Food Prot. 2006 Feb;69(2):335-44. doi: 10.4315/0362-028x-69.2.335.
The objective of this study was to evaluate the hypothesis that the dose-response relationship for Listeria monocytogenes in humans varies with genotypic lineage or subtype. The linkages between molecular subtyping data and enumeration data for L. monocytogenes subtypes in foods consumed by the at-risk population were examined to test this hypothesis. We applied a conditional probability model to conduct a subtype-specific dose-response analysis, with the focus on invasive listeriosis. L. monocytogenes differed not only in the molecular subtype and lineage but also in the contamination level when isolates of the pathogen occurred in retail samples of ready-to-eat foods. Using the exponential model parameter r-value as a measure (essentially the probability of a single cell causing illness), we found that the virulence varied among L. monocytogenes lineages by several orders of magnitude. Under the assumptions made, for L. monocytogenes lineages I and II the consumption of a single cell would result in listeriosis with log average probabilities of -7.88 (equivalent to once in 10(7.78) times) and -10.3, respectively, as compared with -9.72 for L. monocytogenes independent of subtype. A greater difference in r-values was found for selected ribotypes. The uncertainty about the r-value estimates was small compared with the large differences in the virulence parameters themselves. Thus, for L. monocytogenes both subtype and the number of cells consumed matter, highlighting the usefulness of considering both exposure concentration and subtype prevalence in dose-response analysis. As advances are made in molecular subtyping and quantitative tools for dose-response analysis, further studies integrating genomic data into quantitative risk assessments will enable better attribution of disease risk to L. monocytogenes subtypes.
本研究的目的是评估关于人类感染单核细胞增生李斯特菌的剂量反应关系随基因谱系或亚型而变化的假说。研究了高危人群食用的食品中单核细胞增生李斯特菌亚型的分子分型数据与计数数据之间的联系,以检验这一假说。我们应用条件概率模型进行亚型特异性剂量反应分析,重点关注侵袭性李斯特菌病。当单核细胞增生李斯特菌分离株出现在即食食品的零售样本中时,该菌不仅在分子亚型和谱系上存在差异,而且在污染水平上也有所不同。以指数模型参数r值作为衡量标准(本质上是单个细胞致病的概率),我们发现单核细胞增生李斯特菌各谱系的毒力相差几个数量级。在所作假设下,对于单核细胞增生李斯特菌谱系I和II,摄入单个细胞导致李斯特菌病的对数平均概率分别为-7.88(相当于每10(7.78)次中有1次)和-10.3,而与亚型无关的单核细胞增生李斯特菌的概率为-9.72。对于选定的核糖体分型,r值的差异更大。与毒力参数本身的巨大差异相比,r值估计的不确定性较小。因此,对于单核细胞增生李斯特菌来说,亚型和摄入的细胞数量都很重要,这突出了在剂量反应分析中同时考虑暴露浓度和亚型流行率的有用性。随着分子分型和剂量反应分析定量工具的进步,将基因组数据整合到定量风险评估中的进一步研究将能够更好地将疾病风险归因于单核细胞增生李斯特菌亚型。