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Immmunoinformatics-based design of T and B-cell multi-epitope vaccine to combat Borrelia burgdorferi infection  期刊论文  

  • 编号:
    A20E2FA4CE2815183C146BCD7C2CAB5B
  • 作者:
    Chen, Zhiqiang#[1,3]Huang, Xun[1];Zhu, Liangyu[1];Li, Bingxue(李冰雪)[1,2]Wang, Yanhong[1];Wu, Hanxin[1];Peng, Li(彭莉)[1]Ma, Weijie[1];Zhong, Lei[1];Yang, Rui[1];Ma, Weijiang[1];Gao, Li[1];Wu, Xinya[1];Song, Jieqin[1];Yang, Jiaru[1];Bao, Ruian[1];Zheng, Zida[1];Luo, Suyi(罗夙医)[1]Liu, Aihua(柳爱华)*[1]Bao, Fukai(宝福凯)*[1,2]
  • 语种:
    英文
  • 期刊:
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES ISSN:0141-8130 2025 年 310 卷 ; MAY
  • 收录:
  • 关键词:
  • 摘要:

    Lyme disease is one of the most common vector-borne infectious diseases globally, partly due to the absence of a vaccine for humans. Hence, in this study, an immunoinformatics method was used to design a multi-epitope vaccine (MEV) against Borrelia burgdorferi. The optimal B- and T-cell epitopes from Borrelia burgdorferi proteins (BmpA and OspC) were joined with the appropriate linkers to construct a MEV. In addition, beta-defensin was included as an adjuvant in the vaccine construct. Secondary and tertiary structures of MEV were predicted, refined and validated. The developed vaccine was high antigenicity, non-allergenicity, solubility and stability. The Ramachandran plot, ProSA-web and ERRAT were employed to ensure the final model''s authenticity. The immune simulation confirmed acceptable responses of both cellular and humoral immune. The vaccine''s binding stability with Toll-like receptor 2 (TLR2) was confirmed using molecular docking and molecular dynamics (MD) simulation. Furthermore, MEV effectively stimulated high-level antibody production in mice, significantly promoted splenocyte proliferation in immunized mice, and markedly enhanced splenic IFN-gamma and IL-4 mRNA transcription levels. These results suggest that MEV, as a novel vaccine candidate, holds significant potential for future prevention and control of Borrelia burgdorferi infections.

  • 推荐引用方式
    GB/T 7714:
    Chen Zhiqiang,Huang Xun,Zhu Liangyu, et al. Immmunoinformatics-based design of T and B-cell multi-epitope vaccine to combat Borrelia burgdorferi infection [J].INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES,2025,310.
  • APA:
    Chen Zhiqiang,Huang Xun,Zhu Liangyu,Li Bingxue,&Bao Fukai.(2025).Immmunoinformatics-based design of T and B-cell multi-epitope vaccine to combat Borrelia burgdorferi infection .INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES,310.
  • MLA:
    Chen Zhiqiang, et al. "Immmunoinformatics-based design of T and B-cell multi-epitope vaccine to combat Borrelia burgdorferi infection" .INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 310(2025).
  • 入库时间:
    2025/5/22 21:50:13
  • 更新时间:
    2025/7/4 0:07:58
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