Polyiam Kanokporn, Phoolcharoen Waranyoo, Butkhot Namphueng, Srisaowakarn Chanya, Thitithanyanont Arunee, Auewarakul Prasert, Hoonsuwan Tawatchai, Ruengjitchatchawalya Marasri, Mekvichitsaeng Phenjun, Roshorm Yaowaluck Maprang
Division of Biotechnology, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Research Unit for Plant-Produced Pharmaceuticals and Department of Pharmacognosy and Pharmaceutical Botany, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Sci Rep. 2021 Oct 14;11(1):20383. doi: 10.1038/s41598-021-99642-w.
SARS-CoV-2 continues to infect an ever-expanding number of people, resulting in an increase in the number of deaths globally. With the emergence of new variants, there is a corresponding decrease in the currently available vaccine efficacy, highlighting the need for greater insights into the viral epitope profile for both vaccine design and assessment. In this study, three immunodominant linear B cell epitopes in the SARS-CoV-2 spike receptor-binding domain (RBD) were identified by immunoinformatics prediction, and confirmed by ELISA with sera from Macaca fascicularis vaccinated with a SARS-CoV-2 RBD subunit vaccine. Further immunoinformatics analyses of these three epitopes gave rise to a method of linear B cell epitope prediction and selection. B cell epitopes in the spike (S), membrane (M), and envelope (E) proteins were subsequently predicted and confirmed using convalescent sera from COVID-19 infected patients. Immunodominant epitopes were identified in three regions of the S2 domain, one region at the S1/S2 cleavage site and one region at the C-terminus of the M protein. Epitope mapping revealed that most of the amino acid changes found in variants of concern are located within B cell epitopes in the NTD, RBD, and S1/S2 cleavage site. This work provides insights into B cell epitopes of SARS-CoV-2 as well as immunoinformatics methods for B cell epitope prediction, which will improve and enhance SARS-CoV-2 vaccine development against emergent variants.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)持续感染越来越多的人,导致全球死亡人数增加。随着新变种的出现,目前可用疫苗的效力相应下降,这凸显了深入了解病毒表位谱对于疫苗设计和评估的必要性。在本研究中,通过免疫信息学预测确定了SARS-CoV-2刺突受体结合域(RBD)中的三个免疫显性线性B细胞表位,并通过酶联免疫吸附测定(ELISA)用接种SARS-CoV-2 RBD亚单位疫苗的食蟹猴血清进行了验证。对这三个表位的进一步免疫信息学分析产生了一种线性B细胞表位预测和选择方法。随后使用新型冠状病毒肺炎感染患者的康复血清预测并验证了刺突(S)、膜(M)和包膜(E)蛋白中的B细胞表位。在S2结构域的三个区域、S1/S2裂解位点的一个区域和M蛋白C末端的一个区域中鉴定出免疫显性表位。表位图谱显示,在关注的变种中发现的大多数氨基酸变化位于N端结构域(NTD)、RBD和S1/S2裂解位点的B细胞表位内。这项工作为SARS-CoV-2的B细胞表位以及B细胞表位预测的免疫信息学方法提供了见解,这将改进和加强针对新出现变种的SARS-CoV-2疫苗开发。