利用免疫信息学方法设计针对金黄色葡萄球菌超抗原TSST-1的多表位疫苗。

IF 3.6 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Harish Babu Kolla, Chakradhar Tirumalasetty, Krupanidhi Sreerama, Vijaya Sai Ayyagari
{"title":"利用免疫信息学方法设计针对金黄色葡萄球菌超抗原TSST-1的多表位疫苗。","authors":"Harish Babu Kolla,&nbsp;Chakradhar Tirumalasetty,&nbsp;Krupanidhi Sreerama,&nbsp;Vijaya Sai Ayyagari","doi":"10.1186/s43141-021-00160-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>TSST-1 is a secretory and pyrogenic superantigen that is being responsible for staphylococcal mediated food poisoning and associated clinical manifestations. It is one of the main targets for the construction of vaccine candidates against Staphylococcus aureus. Most of the vaccines have met failure due to adverse reactions and toxicity reported during late clinical studies. To overcome this, an immunoinformatics approach is being used in the present study for the design of a multi-epitope vaccine to circumvent the problems related to toxicity and allergenicity.</p><p><strong>Results: </strong>In this study, a multi-epitope vaccine against Staphylococcus aureus targeting TSST-1 was designed through an immunoinformatics approach. B cell and T cell epitopes were predicted in silico and mapped with linkers to avoid junctional immunogenicity and to ensure the efficient presentation of exposed epitopes through HLA. β-defensin and PADRE were adjusted at the N-terminal end of the final vaccine as adjuvants. Physiochemical parameters, antigenicity, and allergenicity of the vaccine construct were determined with the help of online servers. The three-dimensional structure of the vaccine protein was predicted and validated with various tools. The affinity of the vaccine with TLR-3 was studied through molecular docking studies and the interactions of two proteins were visualized using LigPlot<sup>+</sup>. The vaccine was successfully cloned in silico into pET-28a (+) for efficient expression in E. coli K12 system. Population coverage analysis had shown that the vaccine construct can cover 83.15% of the global population. Immune simulation studies showed an increase in the antibody levels, IL-2, IFN-γ, TGF-β, B cell, and T cell populations and induced primary, secondary, and tertiary immune responses.</p><p><strong>Conclusion: </strong>Multi-epitope vaccine designed through a computational approach is a non-allergic and non-toxic antigen. Preliminary in silico reports have shown that this vaccine could elicit both B cell and T cell responses in the host as desired.</p>","PeriodicalId":74026,"journal":{"name":"Journal, genetic engineering & biotechnology","volume":"19 1","pages":"69"},"PeriodicalIF":3.6000,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43141-021-00160-z","citationCount":"21","resultStr":"{\"title\":\"An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus.\",\"authors\":\"Harish Babu Kolla,&nbsp;Chakradhar Tirumalasetty,&nbsp;Krupanidhi Sreerama,&nbsp;Vijaya Sai Ayyagari\",\"doi\":\"10.1186/s43141-021-00160-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>TSST-1 is a secretory and pyrogenic superantigen that is being responsible for staphylococcal mediated food poisoning and associated clinical manifestations. It is one of the main targets for the construction of vaccine candidates against Staphylococcus aureus. Most of the vaccines have met failure due to adverse reactions and toxicity reported during late clinical studies. To overcome this, an immunoinformatics approach is being used in the present study for the design of a multi-epitope vaccine to circumvent the problems related to toxicity and allergenicity.</p><p><strong>Results: </strong>In this study, a multi-epitope vaccine against Staphylococcus aureus targeting TSST-1 was designed through an immunoinformatics approach. B cell and T cell epitopes were predicted in silico and mapped with linkers to avoid junctional immunogenicity and to ensure the efficient presentation of exposed epitopes through HLA. β-defensin and PADRE were adjusted at the N-terminal end of the final vaccine as adjuvants. Physiochemical parameters, antigenicity, and allergenicity of the vaccine construct were determined with the help of online servers. The three-dimensional structure of the vaccine protein was predicted and validated with various tools. The affinity of the vaccine with TLR-3 was studied through molecular docking studies and the interactions of two proteins were visualized using LigPlot<sup>+</sup>. The vaccine was successfully cloned in silico into pET-28a (+) for efficient expression in E. coli K12 system. Population coverage analysis had shown that the vaccine construct can cover 83.15% of the global population. Immune simulation studies showed an increase in the antibody levels, IL-2, IFN-γ, TGF-β, B cell, and T cell populations and induced primary, secondary, and tertiary immune responses.</p><p><strong>Conclusion: </strong>Multi-epitope vaccine designed through a computational approach is a non-allergic and non-toxic antigen. Preliminary in silico reports have shown that this vaccine could elicit both B cell and T cell responses in the host as desired.</p>\",\"PeriodicalId\":74026,\"journal\":{\"name\":\"Journal, genetic engineering & biotechnology\",\"volume\":\"19 1\",\"pages\":\"69\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2021-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s43141-021-00160-z\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal, genetic engineering & biotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s43141-021-00160-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal, genetic engineering & biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s43141-021-00160-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 21

摘要

背景:TSST-1是一种分泌性和热原性超抗原,与葡萄球菌介导的食物中毒及其相关临床表现有关。它是构建抗金黄色葡萄球菌候选疫苗的主要靶点之一。在后期临床研究中,大多数疫苗由于不良反应和毒性报告而失败。为了克服这一点,本研究正在使用免疫信息学方法设计多表位疫苗,以避免与毒性和过敏原有关的问题。结果:本研究通过免疫信息学方法设计了一种靶向tst -1的金黄色葡萄球菌多表位疫苗。B细胞和T细胞表位通过计算机预测和连接物定位,以避免连接免疫原性,并确保通过HLA有效提呈暴露的表位。β-防御素和PADRE在最终疫苗的n端作为佐剂进行调整。在在线服务器的帮助下确定了疫苗结构的理化参数、抗原性和过敏原性。用各种工具预测和验证了疫苗蛋白的三维结构。通过分子对接研究研究疫苗与TLR-3的亲和力,并利用LigPlot+可视化两种蛋白的相互作用。该疫苗成功地在pET-28a(+)中硅晶克隆,并在大肠杆菌K12体系中高效表达。人口覆盖率分析表明,该疫苗结构可覆盖全球83.15%的人口。免疫模拟研究显示抗体水平、IL-2、IFN-γ、TGF-β、B细胞和T细胞群增加,并诱导初级、次级和三级免疫反应。结论:通过计算方法设计的多表位疫苗是一种无过敏、无毒的抗原。初步的计算机报告表明,这种疫苗可以在宿主体内引起B细胞和T细胞的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus.

An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus.

An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus.

An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus.

Background: TSST-1 is a secretory and pyrogenic superantigen that is being responsible for staphylococcal mediated food poisoning and associated clinical manifestations. It is one of the main targets for the construction of vaccine candidates against Staphylococcus aureus. Most of the vaccines have met failure due to adverse reactions and toxicity reported during late clinical studies. To overcome this, an immunoinformatics approach is being used in the present study for the design of a multi-epitope vaccine to circumvent the problems related to toxicity and allergenicity.

Results: In this study, a multi-epitope vaccine against Staphylococcus aureus targeting TSST-1 was designed through an immunoinformatics approach. B cell and T cell epitopes were predicted in silico and mapped with linkers to avoid junctional immunogenicity and to ensure the efficient presentation of exposed epitopes through HLA. β-defensin and PADRE were adjusted at the N-terminal end of the final vaccine as adjuvants. Physiochemical parameters, antigenicity, and allergenicity of the vaccine construct were determined with the help of online servers. The three-dimensional structure of the vaccine protein was predicted and validated with various tools. The affinity of the vaccine with TLR-3 was studied through molecular docking studies and the interactions of two proteins were visualized using LigPlot+. The vaccine was successfully cloned in silico into pET-28a (+) for efficient expression in E. coli K12 system. Population coverage analysis had shown that the vaccine construct can cover 83.15% of the global population. Immune simulation studies showed an increase in the antibody levels, IL-2, IFN-γ, TGF-β, B cell, and T cell populations and induced primary, secondary, and tertiary immune responses.

Conclusion: Multi-epitope vaccine designed through a computational approach is a non-allergic and non-toxic antigen. Preliminary in silico reports have shown that this vaccine could elicit both B cell and T cell responses in the host as desired.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信