Department of Microbiology, University of Barcelona, Spain.
Appl Environ Microbiol. 2009 Dec;75(23):7350-5. doi: 10.1128/AEM.01177-09. Epub 2009 Oct 9.
In the present work, we aimed at determining the relationship between the hepatitis A virus (HAV) numbers in imported frozen coquina clams involved in two hepatitis outbreaks, as well as the risk for human health. Due to HAV unculturability, a standardized TaqMan real-time reverse transcription-PCR controlling the virus/nucleic acid extraction and enzyme efficiencies was employed to figure the exposure dose for clams responsible for hepatitis cases. HAV numbers were then employed to figure the risk of infection based on a dose-response model for echovirus 12. The estimated risk of infection after consumption of lightly cooked clams matched actual attack rates. Our data show that prospective monitoring of bivalve samples may fail to prevent the occurrence of outbreaks, since HAV was detected in 44% of samples directly associated with cases but was undetectable in samples that were randomly collected from the importers and belonged to the same batches. A correlation was nevertheless observed between the prevalence of hepatitis A cases in the harvesting areas and positive HAV isolation in clams, which points to the need to identify and prevent hazards rather than relying on random sampling of finished products to ensure safety. However, when evidence shows that a critical limit of viral contamination has been exceeded in the potential sources of contamination discharging into the shellfish-growing beds, quantitative virological analysis addressing quality assurance and quality control requirements should be performed with the bivalves. This work provides the first evidence of accurate HAV levels in shellfish involved in outbreaks that could be of use for risk assessment purposes.
在本研究中,我们旨在确定与两起肝炎暴发相关的进口冷冻贻贝中甲型肝炎病毒(HAV)数量之间的关系,以及对人类健康的风险。由于 HAV 不可培养,因此采用了一种标准化的 TaqMan 实时逆转录聚合酶链反应来控制病毒/核酸提取和酶效率,以确定与肝炎病例相关的贻贝的暴露剂量。然后,根据肠道病毒 12 的剂量-反应模型,利用 HAV 数量来确定感染风险。食用轻度烹饪贻贝的感染风险估计与实际攻击率相匹配。我们的数据表明,对双壳贝类样本的前瞻性监测可能无法预防暴发的发生,因为在与病例直接相关的 44%的样本中检测到 HAV,但在从进口商随机采集且属于同一批次的样本中却无法检测到 HAV。然而,在收获区甲型肝炎病例的流行率与贻贝中 HAV 分离之间观察到相关性,这表明有必要识别和预防危害,而不是依赖于对成品的随机抽样来确保安全。但是,当证据表明潜在污染源中病毒污染的临界极限已超过贝类养殖床时,应使用双壳贝类进行定量病毒学分析,以满足质量保证和质量控制要求。这项工作首次提供了与暴发相关的贝类中准确 HAV 水平的证据,这可能有助于进行风险评估。