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利用计算建模方法构建针对戊型肝炎病毒的多价疫苗及其通过电子克隆和免疫模拟进行的验证。

Towards an Ensemble Vaccine against the Pegivirus Using Computational Modelling Approaches and Its Validation through In Silico Cloning and Immune Simulation.

作者信息

Zheng Bowen, Suleman Muhammad, Zafar Zonara, Ali Syed Shujait, Nasir Syed Nouman, Hussain Zahid, Waseem Muhammad, Khan Abbas, Hassan Fakhrul, Wang Yanjing, Wei Dongqing

机构信息

School of Life Sciences, Shanxi University, Taiyuan 030006, China.

Center for Biotechnology and Microbiology, University of Swat, Swat 01923, Pakistan.

出版信息

Vaccines (Basel). 2021 Jul 23;9(8):818. doi: 10.3390/vaccines9080818.

Abstract

Pegivirus, HPgV, which was earlier known as Gb virus and hepatitis G virus, is an enveloped, positive-stranded RNA and lymphotropic virus classified into the family. The transmission routes primarily involve blood products, and infections are worldwide, leading up to 25% of persistent infections. To date, no effective therapeutic means are available to clear Pegivirus infections. Effective vaccine therapeutics is the best alternative to manage this disease and any associated potential pandemic. Thus, whole proteome-based mining of immunogenic peptides, i.e., CTL (cytotoxic T lymphocytes), HTL (helper T lymphocytes), and B cell epitopes, was mapped to design a vaccine ensemble. Our investigation revealed that 29 different epitopes impart a critical role in immune response induction, which was also validated by exploring its physiochemical properties and experimental feasibility. In silico expression and host immune simulation were examined using an agent-based modeling approach and confirmed the induction of both primary and secondary immune factors such as IL, cytokines, and antibodies. The current study warrants further lab experiments to demonstrate its efficacy and safety.

摘要

佩吉病毒(HPgV),以前称为庚型肝炎病毒和GB病毒,是一种包膜正链RNA嗜淋巴细胞病毒,归类于该科。传播途径主要涉及血液制品,感染遍布全球,导致高达25%的持续性感染。迄今为止,尚无有效的治疗方法可清除佩吉病毒感染。有效的疫苗疗法是控制这种疾病及任何相关潜在大流行的最佳选择。因此,基于全蛋白质组挖掘免疫原性肽,即细胞毒性T淋巴细胞(CTL)、辅助性T淋巴细胞(HTL)和B细胞表位,进行图谱绘制以设计疫苗组合。我们的研究表明,29种不同的表位在诱导免疫反应中起关键作用,通过探索其理化性质和实验可行性也得到了验证。使用基于智能体的建模方法检查了计算机模拟表达和宿主免疫模拟,并证实了白细胞介素、细胞因子和抗体等主要和次要免疫因子的诱导。当前的研究需要进一步的实验室实验来证明其有效性和安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/872b/8402528/acaa02114997/vaccines-09-00818-g001.jpg

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