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甲型肝炎病毒 I 型在意大利的引入:贝叶斯系统发育分析以确定不同的流行疫情。

Genotype I hepatitis A virus introduction in Italy: Bayesian phylogenetic analysis to date different epidemics.

机构信息

Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Rome, Italy.

Unit of Virology, University Campus Bio-Medico of Rome, Rome, Italy.

出版信息

J Med Virol. 2018 Sep;90(9):1493-1502. doi: 10.1002/jmv.25220. Epub 2018 Jun 11.

DOI:10.1002/jmv.25220
PMID:29738070
Abstract

Despite a significant decrease in acute hepatitis A in the last 2 decades in Italy, outbreaks were observed occurring mostly in southern Italy. In this study, Bayesian phylogenetic analysis was used to analyze the origin of these epidemics. With this aim, 5 different data sets of hepatitis A virus sequences were built to perform genotyping by the neighbor-joining method to estimate the evolutionary rates by using a Bayesian Markov chain Monte Carlo approach and to investigate the demographic history by independent Markov chain Monte Carlo runs enforcing both a strict and relaxed clock. The estimated mean value of the evolutionary rate, representing Ia and Ib strains, was 1.21 × 10 and 2.0 × 10 substitutions/site/year, respectively. The Bayesian maximum clade credibility tree of hepatitis A virus (HAV) Ia and Ib strains showed that Italian sequences mostly formed separate clusters. The root of the time for the most recent common ancestor (tMRCA) for HAV Ia and Ib strains dated back to 1981 and to 1988, respectively, showing in both cases different epidemic entrances. Phylodynamic analysis showed that genotype Ia increased in 1997, when the Apulia epidemic started, then suffered a bottleneck, probably consequent to vaccination and to the herd immunity, followed by a new increase in virus population in the years 2013-2014 consequent to the epidemic caused by the ingestion of mixed frozen berries. A similar trend without an evident bottleneck was observed also in the case of genotype Ib. In conclusion, the Bayesian phylogenetic analysis represents a good tool to measure the effectiveness of the public health plans used for HAV control.

摘要

尽管在过去的 20 年中,意大利的急性甲型肝炎病例显著减少,但仍观察到南部地区爆发了此类疾病。在这项研究中,贝叶斯系统发生分析被用于分析这些疫情的起源。为此,构建了 5 个不同的甲型肝炎病毒序列数据集,通过邻接法进行基因分型,使用贝叶斯马尔可夫链蒙特卡罗方法估计进化率,并通过独立的马尔可夫链蒙特卡罗运行来调查人口历史,同时强制实施严格和宽松的时钟。代表 Ia 和 Ib 株的进化率的估计平均值分别为 1.21×10 和 2.0×10 个替换/site/年。甲型肝炎病毒(HAV)Ia 和 Ib 株的贝叶斯最大分支可信树表明,意大利序列主要形成单独的聚类。HAV Ia 和 Ib 株的最近共同祖先(tMRCA)时间的根部可追溯到 1981 年和 1988 年,这表明在两种情况下,疫情都有不同的入口。系统发育动力学分析表明,基因型 Ia 在 1997 年普利亚大区疫情爆发时增加,随后经历了瓶颈期,可能是由于疫苗接种和群体免疫导致的,随后在 2013-2014 年由于摄入混合冷冻浆果引起的疫情导致病毒种群再次增加。基因型 Ib 也观察到了类似的趋势,但没有明显的瓶颈期。总之,贝叶斯系统发生分析是衡量用于甲型肝炎控制的公共卫生计划有效性的良好工具。

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