多表位和多抗原非洲猪瘟疫苗的计算机设计和评价

Ara Karizza G. Buan, Nico Alexander L. Reyes, Ryan Nikkole B. Pineda, Paul Mark B. Medina
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引用次数: 1

摘要

非洲猪瘟(ASF)是由一种高度传染性和致命的出血性病毒引起的,仅在2019年,这种病毒就在亚洲造成800万头猪死亡,造成的经济损失估计高达1300亿美元。曾试图控制非洲猪瘟的传播;然而,开发的疫苗未能产生持久的免疫力。目前,还没有疫苗获得批准。本研究利用开放获取的生物信息学工具设计了一种新的多表位和多抗原疫苗。使用来自ASFV抗原p12、p17、p22、p54、p72和CD2v基因型的一致序列预测b细胞、辅助t细胞和细胞毒性t细胞表位,并与佐剂和连接物联合形成ASF疫苗。分析表明,ASF疫苗是稳定的、抗原性的、非过敏性的、无交叉反应性的。将SLA-1与开发的疫苗的CTL-HTL区域对接表明,它可以有效地与SLA-1结合,这是引发有效免疫应答的重要过程。免疫模拟结果表明,所设计的ASF疫苗可引起原发性和继发性免疫反应,并刺激效应免疫细胞和细胞因子的产生。总之,这些结果表明,设计的多表位和多抗原的非洲猪瘟疫苗是潜在有效的,需要进一步的体外和体内研究来证实其对非洲猪瘟感染的保护作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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In silico design and evaluation of a multi-epitope and multi-antigenic African swine fever vaccine

African Swine Fever (ASF) is caused by a highly contagious and fatal hemorrhagic virus, which in 2019 alone in Asia, has killed 8 million pigs with a devastating estimated economic loss amounting to $130 billion. There were attempts to control ASFV transmission; however, developed vaccines failed to produce lasting immunity. Currently, no vaccine has been approved yet. This study designed a novel multi-epitope and multi-antigenic vaccine using open-access bioinformatics tools. B-cell, helper-T and cytotoxic T-cell epitopes were predicted using consensus sequences from ASFV genotypes of antigens p12, p17, p22, p54, p72, and CD2v, and combined with adjuvants and linkers to form the ASF vaccine. Analyses revealed that the ASF vaccine is stable, antigenic, non-allergenic, and not cross-reactive. Docking of SLA-1 to CTL-HTL regions of the developed vaccine revealed that it effectively binds to SLA-1, a vital process in priming an effective immune response. Immune simulations demonstrated that the designed ASF vaccine can elicit primary and secondary immune responses, and stimulate the production of effector immune cells and cytokines. Overall, these results revealed that the designed multi-epitope and multi-antigenic ASF vaccine is potentially effective and warrants further in vitro and in vivo studies to confirm its protective function against ASFV infection.

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Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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