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运用多元分析评估美国牛病毒性腹泻病毒疫苗株与非美国遗传分化分离株之间的抗原关系。

Use of multivariate analysis to evaluate antigenic relationships between US BVDV vaccine strains and non-US genetically divergent isolates.

机构信息

Ruminant Disease and Immunology Research Unit, National Animal Disease Center, USDA, Agricultural Research Service, Ames, IA, United States.

Ruminant Disease and Immunology Research Unit, National Animal Disease Center, USDA, Agricultural Research Service, Ames, IA, United States.

出版信息

J Virol Methods. 2022 Jan;299:114328. doi: 10.1016/j.jviromet.2021.114328. Epub 2021 Oct 25.

Abstract

Bovine viral diarrhea virus (BVDV) comprises two species, BVDV-1 and BVDV-2. But given the genetic diversity among pestiviruses, at least 22 subgenotypes are described for BVDV-1 and 3-4 for BVDV-2. Genetic characterization is generally accomplished through complete or partial sequencing and phylogeny, but it is not a reliable method to define antigenic relationships. The traditional method for evaluating antigenic relationships between pestivirus isolates is the virus neutralization (VN) assay, but interpretation of the data to define antigenic relatedness can be difficult to discern for BVDV isolates within the same BVDV species. Data from this study utilized a multivariate analysis for visualization of VN results to analyze the antigenic relationships between US vaccine strains and field isolates from Switzerland, Italy, Brazil, and the UK. Polyclonal sera were generated against six BVDV strains currently contained in vaccine formulations, and each serum was used in VNs to measure the titers against seven vaccine strains (including the six homologous strains) and 23 BVDV field isolates. Principal component analysis (PCA) was performed using VN titers, and results were interpreted from PCA clustering within the PCA dendrogram and scatter plot. The results demonstrated clustering patterns among various isolates suggesting antigenic relatedness. As expected, the BVDV-1 and BVDV-2 isolates did not cluster together and had the greatest spatial distribution. Notably, a number of clusters representing antigenically related BVDV-1 subgroups contain isolates of different subgenotypes. The multivariate analysis may be a method to better characterize antigenic relationships among BVDV isolates that belong to the same BVDV species and do not have distinct antigenic differences. This might be an invaluable tool to ameliorate the composition of current vaccines, which might well be important for the success of any BVDV control program that includes vaccination in its scheme.

摘要

牛病毒性腹泻病毒(BVDV)包括两个种,即 BVDV-1 和 BVDV-2。但是,鉴于瘟病毒的遗传多样性,至少描述了 22 个 BVDV-1 亚群和 3-4 个 BVDV-2 亚群。遗传特征通常通过完整或部分测序和系统发生来完成,但它不是定义抗原关系的可靠方法。评估瘟病毒分离株之间抗原关系的传统方法是病毒中和(VN)测定,但对于同一 BVDV 种内的 BVDV 分离株,很难解释数据以定义抗原相关性。本研究的数据利用多元分析来可视化 VN 结果,以分析来自瑞士、意大利、巴西和英国的美国疫苗株与田间分离株之间的抗原关系。针对目前疫苗配方中包含的六种 BVDV 株产生了多克隆血清,并用每种血清在 VN 中测量针对七种疫苗株(包括六种同源株)和 23 种 BVDV 田间分离株的效价。使用 VN 效价进行主成分分析(PCA),并从 PCA 聚类树和散点图中的 PCA 解释结果。结果表明,各种分离株之间存在聚类模式,表明存在抗原相关性。正如预期的那样,BVDV-1 和 BVDV-2 分离株没有聚集在一起,空间分布最大。值得注意的是,代表抗原相关 BVDV-1 亚群的多个聚类包含不同亚群型的分离株。这种多变量分析可能是一种更好地描述属于同一 BVDV 种且没有明显抗原差异的 BVDV 分离株之间抗原关系的方法。这可能是改善当前疫苗组成的宝贵工具,对于包括疫苗接种在内的任何 BVDV 控制计划的成功都非常重要。

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