Department of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Department of Agriculture, University of Ioaninna Arta, 47132 Greece.
Acta Biochim Pol. 2023 Sep 17;70(3):623-631. doi: 10.18388/abp.2020_6721.
The zoonotic pathogen, Nipah virus, is considered a potential healthcare threat due to its high mortality rates and detrimental symptoms like encephalitis. Ribavirin, an antiviral drug helps in overcoming the number of casualties and reducing the mortality rate, but no long-lasting solution has been proposed yet putting global health security in jeopardy. Given the cognizance of mRNA-based vaccines as safe and efficacious preventative strategies against pathogens, the current study has utilized the reverse-vaccinology approach coupled with immunoinformatics to propose an mRNA-based vaccine candidate against the Nipah virus. To ensure the effectiveness of the vaccine candidate against all strains of Nipah and associated viruses, three fusion glycoproteins from Nipah and Hendra viruses were selected. A total of 30 potential epitopes, 10 B-cell-, 10 MHC-I-, and 10 MHC-II-specific, were screened for the construct. The finalized epitopes were highly antigenic with scores ranging from 0.75 to 1.7615 at a threshold of 0.4 for viruses and non-homologous to Homo sapiens eradicating any chance of immune tolerance. The construct, with a World population coverage of 97.2%, was structurally stable, thermostable, and hydrophilic with indices of 32.91, 93.62, and -0.002, respectively. The vaccine candidate's tertiary structure was predicted with a TM score of 0.131 and the refined model displayed superlative RAMA improvement (98.2) and MolProbity score (0.975). A quality factor of 93.5421% further validated the structural quality and stability. A prompt and stable immune response was also simulated, and the vaccine candidate was shown to eliminate from the body within the first five days of injection. Immune complexes count of 7000 mg/mL was predicted against the antigen with a small but nonsignificant danger signal, countered by the cytokines. Lastly, strong molecular interactions of the vaccine candidate with TLR-3 (331.09 kcal/mol) and TLR-4 (-333.31 kcal/mol) and molecular dynamics simulation analysis authenticated the immunogenic potential of the vaccine candidate. This vaccine candidate can serve as a foundation for future in-vitro and in-vivo trials to minimize or eradicate the diseases associated with the Nipah virus or the Henipaviral family.
人畜共患病病原体——尼帕病毒,因其高死亡率和脑炎等有害症状而被视为潜在的医疗保健威胁。利巴韦林是一种抗病毒药物,有助于减少死亡人数和降低死亡率,但尚未提出持久的解决方案,这使全球健康安全面临风险。鉴于基于 mRNA 的疫苗被认为是针对病原体的安全有效的预防策略,本研究利用反向疫苗学方法结合免疫信息学,提出了一种针对尼帕病毒的基于 mRNA 的疫苗候选物。为了确保疫苗候选物对尼帕病毒和相关病毒的所有菌株都有效,从尼帕病毒和亨德拉病毒中选择了三种融合糖蛋白。共筛选了 30 个潜在的表位,包括 10 个 B 细胞表位、10 个 MHC-I 表位和 10 个 MHC-II 表位,用于构建。最终的表位具有高度的抗原性,其得分在 0.75 到 1.7615 之间,病毒的阈值为 0.4,与智人非同源,消除了任何免疫耐受的可能性。该构建体的世界人口覆盖率为 97.2%,结构稳定,热稳定,亲水性指数分别为 32.91、93.62 和-0.002。疫苗候选物的三级结构预测 TM 得分为 0.131,经过优化的模型显示出卓越的 RAMA 改善(98.2%)和 MolProbity 评分(0.975)。质量因子为 93.5421%进一步验证了结构质量和稳定性。还模拟了快速而稳定的免疫反应,结果表明疫苗候选物在注射后的前五天内从体内消除。预测抗原的免疫复合物计数为 7000mg/mL,伴有小但无显著危险信号的细胞因子。最后,疫苗候选物与 TLR-3(331.09kcal/mol)和 TLR-4(-333.31kcal/mol)之间的强烈分子相互作用以及分子动力学模拟分析验证了疫苗候选物的免疫原性。该疫苗候选物可以作为未来的体外和体内试验的基础,以最小化或消除与尼帕病毒或亨尼帕病毒家族相关的疾病。