Li Zhuang , Yilu Zhao , Ling Yang , Linsheng Li , Zhaoyang Ye , Awais Ali , Yajing An , Ruizi Ni , Syed Luqman Ali , Wenping Gong
{"title":"利用生物信息学开发前景广阔的多表位结核病疫苗:ZL9810L 疫苗","authors":"Li Zhuang , Yilu Zhao , Ling Yang , Linsheng Li , Zhaoyang Ye , Awais Ali , Yajing An , Ruizi Ni , Syed Luqman Ali , Wenping Gong","doi":"10.1016/j.dcit.2024.100026","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Tuberculosis (TB) is a global infectious disease posing a serious threat to human health, caused by <em>Mycobacterium tuberculosis</em> (MTB) infection. Although vaccination is the most effective way to prevent and control TB, the existing Bacillus Calmette–Guérin (BCG) vaccine exhibits limited protective efficacy in adult pulmonary TB. Therefore, developing a novel TB vaccine is an urgent need.</div></div><div><h3>Methods</h3><div>This study designed a novel multi-epitope vaccine (MEV) to combat MTB infection, utilizing bioinformatics and immunoinformatics approaches. Dominant epitopes of helper T lymphocytes (HTL), cytotoxic T lymphocytes (CTL), and B lymphocytes were selected from antigens of MTB to construct the MEV. To enhance the targeting and immunogenicity of the vaccine, toll like receptor (TLR) agonists and PADRE helper peptides were incorporated into the design. In addition, comprehensive predictions have been made on the physicochemical properties, three-dimensional structure, spatial conformation, and molecular interactions with TLRs of MEVs. These evaluations also extend to the exploration of their immunological characteristics.</div></div><div><h3>Results</h3><div>A novel MEV named ZL9810L was successfully constructed, based on 8 HTL epitopes, 9 CTL epitopes, 10 B lymphocyte epitopes, Toll-like receptor agonists, and auxiliary peptides. Bioinformatics analysis demonstrated that the ZL9810L vaccine has excellent immunogenicity and antigenicity, non-toxicity, and non-sensitization capability, capable of significantly inducing a strong immune response and solubility, with scores of 2.21451, 0.8913, and 0.455 respectively. Moreover, the global population coverage of HLA class I and II allele genes by the ZL9810L vaccine reached 72.89 % and 81.49 %, respectively. Molecular docking analysis indicated good binding capacities of the ZL9810L vaccine to TLR2 and TLR4 receptors, with binding energies of −1028.5 kcal/mol and −1018.8 kcal/mol respectively. Immune simulation predicted that the vaccine could effectively activate innate and adaptive immune cells, including NK cells, macrophages, B lymphocytes, and T lymphocytes.</div></div><div><h3>Conclusion</h3><div>As a candidate for a novel TB vaccine, the ZL9810L vaccine exhibits significant immunogenicity and antigenicity, with no toxicity or allergenicity. The ZL9810L vaccine designed in this study provides a new vaccine candidate for TB control and prevention.</div></div>","PeriodicalId":100358,"journal":{"name":"Decoding Infection and Transmission","volume":"2 ","pages":"Article 100026"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harnessing bioinformatics for the development of a promising multi-epitope vaccine against tuberculosis: The ZL9810L vaccine\",\"authors\":\"Li Zhuang , Yilu Zhao , Ling Yang , Linsheng Li , Zhaoyang Ye , Awais Ali , Yajing An , Ruizi Ni , Syed Luqman Ali , Wenping Gong\",\"doi\":\"10.1016/j.dcit.2024.100026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Tuberculosis (TB) is a global infectious disease posing a serious threat to human health, caused by <em>Mycobacterium tuberculosis</em> (MTB) infection. Although vaccination is the most effective way to prevent and control TB, the existing Bacillus Calmette–Guérin (BCG) vaccine exhibits limited protective efficacy in adult pulmonary TB. Therefore, developing a novel TB vaccine is an urgent need.</div></div><div><h3>Methods</h3><div>This study designed a novel multi-epitope vaccine (MEV) to combat MTB infection, utilizing bioinformatics and immunoinformatics approaches. Dominant epitopes of helper T lymphocytes (HTL), cytotoxic T lymphocytes (CTL), and B lymphocytes were selected from antigens of MTB to construct the MEV. To enhance the targeting and immunogenicity of the vaccine, toll like receptor (TLR) agonists and PADRE helper peptides were incorporated into the design. In addition, comprehensive predictions have been made on the physicochemical properties, three-dimensional structure, spatial conformation, and molecular interactions with TLRs of MEVs. These evaluations also extend to the exploration of their immunological characteristics.</div></div><div><h3>Results</h3><div>A novel MEV named ZL9810L was successfully constructed, based on 8 HTL epitopes, 9 CTL epitopes, 10 B lymphocyte epitopes, Toll-like receptor agonists, and auxiliary peptides. Bioinformatics analysis demonstrated that the ZL9810L vaccine has excellent immunogenicity and antigenicity, non-toxicity, and non-sensitization capability, capable of significantly inducing a strong immune response and solubility, with scores of 2.21451, 0.8913, and 0.455 respectively. Moreover, the global population coverage of HLA class I and II allele genes by the ZL9810L vaccine reached 72.89 % and 81.49 %, respectively. Molecular docking analysis indicated good binding capacities of the ZL9810L vaccine to TLR2 and TLR4 receptors, with binding energies of −1028.5 kcal/mol and −1018.8 kcal/mol respectively. 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引用次数: 0
摘要
背景结核病(TB)是一种严重威胁人类健康的全球性传染病,由结核分枝杆菌(MTB)感染引起。虽然接种疫苗是预防和控制结核病的最有效方法,但现有的卡介苗(BCG)对成人肺结核的保护效力有限。本研究利用生物信息学和免疫信息学方法设计了一种新型多表位疫苗(MEV),以对抗 MTB 感染。从 MTB 抗原中筛选出辅助性 T 淋巴细胞(HTL)、细胞毒性 T 淋巴细胞(CTL)和 B 淋巴细胞的优势表位来构建 MEV。为了增强疫苗的靶向性和免疫原性,设计中加入了类毒素受体(TLR)激动剂和 PADRE 辅助肽。此外,还对 MEV 的理化性质、三维结构、空间构象以及与 TLR 的分子相互作用进行了全面预测。结果 基于 8 个 HTL 表位、9 个 CTL 表位、10 个 B 淋巴细胞表位、Toll 样受体激动剂和辅助肽,成功构建了名为 ZL9810L 的新型 MEV。生物信息学分析表明,ZL9810L 疫苗具有良好的免疫原性和抗原性、无毒性和无致敏性,能显著诱导强烈的免疫应答,溶解性得分分别为 2.21451、0.8913 和 0.455。此外,ZL9810L 疫苗对全球 HLA I 类和 II 类等位基因的覆盖率分别达到 72.89 % 和 81.49 %。分子对接分析表明,ZL9810L 疫苗与 TLR2 和 TLR4 受体的结合能力良好,结合能分别为 -1028.5 kcal/mol 和 -1018.8 kcal/mol。免疫模拟预测该疫苗可有效激活先天性和适应性免疫细胞,包括 NK 细胞、巨噬细胞、B 淋巴细胞和 T 淋巴细胞。本研究设计的 ZL9810L 疫苗为结核病的控制和预防提供了一种新的候选疫苗。
Harnessing bioinformatics for the development of a promising multi-epitope vaccine against tuberculosis: The ZL9810L vaccine
Background
Tuberculosis (TB) is a global infectious disease posing a serious threat to human health, caused by Mycobacterium tuberculosis (MTB) infection. Although vaccination is the most effective way to prevent and control TB, the existing Bacillus Calmette–Guérin (BCG) vaccine exhibits limited protective efficacy in adult pulmonary TB. Therefore, developing a novel TB vaccine is an urgent need.
Methods
This study designed a novel multi-epitope vaccine (MEV) to combat MTB infection, utilizing bioinformatics and immunoinformatics approaches. Dominant epitopes of helper T lymphocytes (HTL), cytotoxic T lymphocytes (CTL), and B lymphocytes were selected from antigens of MTB to construct the MEV. To enhance the targeting and immunogenicity of the vaccine, toll like receptor (TLR) agonists and PADRE helper peptides were incorporated into the design. In addition, comprehensive predictions have been made on the physicochemical properties, three-dimensional structure, spatial conformation, and molecular interactions with TLRs of MEVs. These evaluations also extend to the exploration of their immunological characteristics.
Results
A novel MEV named ZL9810L was successfully constructed, based on 8 HTL epitopes, 9 CTL epitopes, 10 B lymphocyte epitopes, Toll-like receptor agonists, and auxiliary peptides. Bioinformatics analysis demonstrated that the ZL9810L vaccine has excellent immunogenicity and antigenicity, non-toxicity, and non-sensitization capability, capable of significantly inducing a strong immune response and solubility, with scores of 2.21451, 0.8913, and 0.455 respectively. Moreover, the global population coverage of HLA class I and II allele genes by the ZL9810L vaccine reached 72.89 % and 81.49 %, respectively. Molecular docking analysis indicated good binding capacities of the ZL9810L vaccine to TLR2 and TLR4 receptors, with binding energies of −1028.5 kcal/mol and −1018.8 kcal/mol respectively. Immune simulation predicted that the vaccine could effectively activate innate and adaptive immune cells, including NK cells, macrophages, B lymphocytes, and T lymphocytes.
Conclusion
As a candidate for a novel TB vaccine, the ZL9810L vaccine exhibits significant immunogenicity and antigenicity, with no toxicity or allergenicity. The ZL9810L vaccine designed in this study provides a new vaccine candidate for TB control and prevention.