尼帕病毒疫苗学的革命:亚单位疫苗开发战略和免疫学进展的启示。

In silico pharmacology Pub Date : 2024-07-27 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00246-9
Tapas Das, Sutapa Datta, Arnab Sen
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引用次数: 0

摘要

尼帕病毒(Nipah virus,NiV)是一种人畜共患病病毒,属于副粘病毒科 Henipavirus 属,1998 年在马来西亚出现,随后在全球蔓延。视病情严重程度和早期用药情况而定,患者的死亡几率为 40-70%。据报道,最近在印度喀拉拉邦爆发的 NiV 是由 MCL-19-H-1134 株新分离株引起的。目前,尚无疫苗可用,因此迫切需要一种确凿的补救措施。我们的研究旨在通过分析 NiV 的蛋白质组来开发针对 NiV 的亚单位疫苗。我们从 NCBI 数据库中获得了 NiV 的基因组和蛋白质组序列。根据基因组比对构建了系统发生树。分别使用 NetCTL-1.2、NetMHCIIPan-4.1 和 IEDB 服务器根据蛋白质序列预测了 T 细胞、辅助 T 细胞和 B 细胞表位。筛选出人类受体的高亲和性表位,构建了多表位疫苗(MEV)。使用 VaxiJen、AllergenFP-v.1.0 和 AllergenFP 算法评估了这些表位的抗原性、毒性和过敏性。使用 PyRx 和 ClusPro 分析了与特定受体的分子相互作用。使用 PyMOL 和 LigPlot 对氨基酸相互作用进行了可视化分析。使用 C-ImmSim 进行了免疫模拟,以评估 MEV 引起的免疫反应。最后,使用 SnapGene 工具将疫苗 cDNA 插入 pET28a(+) 表达载体,在大肠杆菌宿主中进行硅克隆。疫情即将爆发的可能性不容忽视。亚单位疫苗更具成本效益和时间效率。通过更多的体外和体内验证,这种疫苗可能会成为预防 NiV 疾病的上佳措施:在线版本包含补充材料,可查阅 10.1007/s40203-024-00246-9。
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Revolutionizing Nipah virus vaccinology: insights into subunit vaccine development strategies and immunological advances.

The Nipah virus (NiV), a zoonotic virus in the Henipavirus genus of the Paramyxoviridae family, emerged in Malaysia in 1998 and later spread globally. Diseased patients may have a 40- 70% chance of fatality depending on the severity and early medication. The recent outbreak of NiV was reported in Kerala (India) by a new strain of MCL-19-H-1134 isolate. Currently, no vaccines are available, highlighting the critical need for a conclusive remedy. Our study aims to develop a subunit vaccine against the NiV by analyzing its proteome. NiV genome and proteome sequences were obtained from the NCBI database. A phylogenetic tree was constructed based on genome alignment. T-cell, helper T-cell, and B-cell epitopes were predicted from the protein sequences using NetCTL-1.2, NetMHCIIPan-4.1, and IEDB servers, respectively. High-affinity epitopes for human receptors were selected to construct a multi-epitope vaccine (MEV). These epitopes' antigenicity, toxicity, and allergenicity were evaluated using VaxiJen, AllergenFP-v.1.0, and AllergenFP algorithms. Molecular interactions with specific receptors were analyzed using PyRx and ClusPro. Amino acid interactions were visualized and analyzed using PyMOL and LigPlot. Immuno-simulation was conducted using C-ImmSim to assess the immune response elicited by the MEV. Finally, the vaccine cDNA was inserted into the pET28a(+) expression vector using SnapGene tool for in silico cloning in an E. coli host. The potential for an imminent outbreak cannot be overlooked. A subunit vaccine is more cost-effective and time-efficient. With additional in vitro and in vivo validation, this vaccine could become a superior preventive measure against NiV disease.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00246-9.

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