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运用免疫信息学和结构方法设计一种针对钩端螺旋体病的广谱多表位亚单位疫苗。

Designing a broad-spectrum multi-epitope subunit vaccine against leptospirosis using immunoinformatics and structural approaches.

作者信息

Sethi Guneswar, Kim Young Kyu, Han Su-Cheol, Hwang Jeong Ho

机构信息

Animal Model Research Group, Korea Institute of Toxicology, Jeonguep, Jeollabuk-do, Republic of Korea.

Center for Companion Animal New Drug Development, Korea Institute of Toxicology, Jeonguep, Jeollabuk-do, Republic of Korea.

出版信息

Front Immunol. 2025 Jan 28;15:1503853. doi: 10.3389/fimmu.2024.1503853. eCollection 2024.

Abstract

INTRODUCTION

Leptospirosis, caused by , is a neglected zoonotic disease that poses a significant global health risk to both humans and animals. The rise of antimicrobial resistance and the inefficacy of existing vaccines highlight the urgent need for new preventive strategies.

METHODS

An immunoinformatics approach was employed to design a multi-epitope subunit vaccine (MESV) against leptospirosis. B-cell, cytotoxic T lymphocyte (CTL), and helper T lymphocyte (HTL) epitopes were selected from five key proteins. These epitopes were fused with a heparin-binding hemagglutinin (HBHA) adjuvant and appropriate linkers to construct the broad-spectrum vaccine. The physicochemical properties of the vaccine were assessed, including antigenicity, immunogenicity, allergenicity, and conservation. The vaccine's 3D structure was modeled, optimized, and validated. Molecular docking, molecular dynamics simulations, and MM-GBSA analysis were performed to assess the vaccine's binding interactions with Toll-like receptors (TLR2 and TLR4). Immune simulations and cloning were also conducted to evaluate the vaccine's immune response and expression potential.

RESULTS

The MESV demonstrated high antigenicity, immunogenicity, non-allergenicity, and conservation across different strains. Population coverage analysis revealed that T-cell epitopes significantly interacted with HLA molecules, covering 95.7% of the global population. Molecular docking showed strong and stable binding with TLR2 and TLR4, with binding energies of -1,357.1 kJ/mol and -1,163.7 kJ/mol, respectively. Molecular dynamics simulations and MM-GBSA analysis confirmed the stability of these interactions and accurately calculated the intermolecular binding free energies. Immune simulations indicated robust B and T cell responses, and cloning demonstrated that the vaccine could be successfully expressed in .

DISCUSSION

These findings suggest that MESV is a promising candidate for leptospirosis prevention, providing robust immune responses and broad population coverage. However, further studies are necessary to validate its efficacy and safety.

摘要

引言

钩端螺旋体病由[病原体名称未给出]引起,是一种被忽视的人畜共患病,对人类和动物都构成重大的全球健康风险。抗菌药物耐药性的增加以及现有疫苗的无效性凸显了对新预防策略的迫切需求。

方法

采用免疫信息学方法设计一种针对钩端螺旋体病的多表位亚单位疫苗(MESV)。从五种关键[蛋白质名称未给出]蛋白中选择B细胞、细胞毒性T淋巴细胞(CTL)和辅助性T淋巴细胞(HTL)表位。这些表位与肝素结合血凝素(HBHA)佐剂及合适的连接子融合,构建广谱疫苗。评估了疫苗的物理化学性质,包括抗原性、免疫原性、致敏性和保守性。对疫苗的三维结构进行建模、优化和验证。进行分子对接、分子动力学模拟和MM - GBSA分析,以评估疫苗与Toll样受体(TLR2和TLR4)的结合相互作用。还进行了免疫模拟和[克隆相关具体名称未给出]克隆,以评估疫苗的免疫反应和表达潜力。

结果

MESV在不同[菌株名称未给出]菌株中表现出高抗原性、免疫原性、无致敏性和保守性。群体覆盖率分析表明,T细胞表位与HLA分子有显著相互作用,覆盖全球95.7%的人群。分子对接显示与TLR2和TLR4有强而稳定的结合,结合能分别为 - 1,357.1 kJ/mol和 - 1,163.7 kJ/mol。分子动力学模拟和MM - GBSA分析证实了这些相互作用的稳定性,并准确计算了分子间结合自由能。免疫模拟表明有强大的B细胞和T细胞反应,[克隆相关具体名称未给出]克隆表明疫苗可在[表达宿主未给出]中成功表达。

讨论

这些发现表明MESV是预防钩端螺旋体病的有前景的候选疫苗,能提供强大的免疫反应和广泛的人群覆盖率。然而,需要进一步的[研究相关具体内容未给出]研究来验证其有效性和安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ba2/11811080/775bcea2482d/fimmu-15-1503853-g001.jpg

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