针对肿瘤免疫治疗的uPAR多表位疫苗的合理设计和计算机评价。

IF 3.6 3区 医学 Q2 IMMUNOLOGY
Journal of Immunology Research Pub Date : 2025-10-16 eCollection Date: 2025-01-01 DOI:10.1155/jimr/9126083
Fahimeh Baghaei, Zahra Hemmat, Amir Taherkhani, Setareh Shojaei, Ali Teimoori
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引用次数: 0

摘要

背景:尿激酶纤溶酶原激活物受体(uPAR)在癌症的发生和发展中起着至关重要的作用,使其成为免疫治疗策略的一个有吸引力的靶点。本研究旨在通过结合T细胞表位和toll样受体4 (TLR4)激动剂作为佐剂,开发一种靶向uPAR的多表位疫苗。方法:采用免疫信息学方法从uPAR蛋白序列中预测和选择免疫原性表位。将选定的表位组装成多表位疫苗结构,包括从结核分枝杆菌中提取的TLR4激动剂作为佐剂。该候选疫苗进行了全面的计算机分析,包括抗原性、过敏原性、物理化学性质和结构建模。通过分子对接和分子动力学(MD)模拟来评估疫苗与TLR4受体的相互作用,并评估其结构稳定性。此外,使用SnapGene软件进行载体设计,同时使用C-ImmSim服务器进行免疫反应模拟。结果:构建的多表位疫苗包括5个细胞毒性T淋巴细胞(CTL)表位、5个辅助T淋巴细胞(HTL)表位和TLR4激动剂佐剂。预计该疫苗具有非致敏性、抗原性和可溶性,具有良好的物理化学性质。分子对接分析显示,该疫苗与TLR4具有较强的结合亲和力,对接评分为-334.37kcal/mol。MD模拟证实了疫苗- tlr4复合物的结构稳定性和刚性。计算免疫模拟预测了强烈的疫苗反应,具有持久的抗体产生,强大的细胞免疫和免疫记忆形成。结论:所提出的多表位疫苗结构由精心挑选的uPAR表位和一种强效佐剂组成,具有诱导对表达uPAR的癌细胞产生强大免疫应答的良好特性。有利的计算机结果支持进一步的实验验证和临床前研究,以评估疫苗的功效和作为癌症免疫治疗剂的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Rational Design and In Silico Evaluation of a Multiepitope Vaccine Targeting the uPAR for Cancer Immunotherapy.

Rational Design and In Silico Evaluation of a Multiepitope Vaccine Targeting the uPAR for Cancer Immunotherapy.

Rational Design and In Silico Evaluation of a Multiepitope Vaccine Targeting the uPAR for Cancer Immunotherapy.

Rational Design and In Silico Evaluation of a Multiepitope Vaccine Targeting the uPAR for Cancer Immunotherapy.

Background: The urokinase plasminogen activator receptor (uPAR) plays a crucial role in cancer development and progression, making it an attractive target for immunotherapeutic strategies. This study aimed to develop a multiepitope vaccine targeting uPAR by incorporating T cell epitopes and a toll-like receptor 4 (TLR4) agonist as an adjuvant.

Methods: Immunoinformatics approaches were employed to predict and select immunogenic epitopes from the uPAR protein sequence. The selected epitopes were assembled into a multiepitope vaccine construct, including a TLR4 agonist derived from Mycobacterium tuberculosis as an adjuvant. The vaccine candidate underwent comprehensive in silico analyses, including antigenicity, allergenicity, physicochemical properties, and structural modeling. Molecular docking and molecular dynamics (MD) simulations were performed to evaluate the vaccine's interaction with the TLR4 receptor and assess its structural stability. Also, vector design was performed using the SnapGene software, while immune response simulations were conducted with the C-ImmSim server.

Results: The multiepitope vaccine construct comprised five cytotoxic T lymphocyte (CTL) epitopes, five helper T lymphocyte (HTL) epitopes, and the TLR4 agonist adjuvant. The vaccine was predicted to be nonallergenic, antigenic, and soluble, with favorable physicochemical properties. Molecular docking analysis revealed a strong binding affinity between the vaccine and TLR4, with a docking score of -334.37kcal/mol. MD simulations demonstrated the structural stability and rigidity of the vaccine-TLR4 complex. The computational immune simulation predicted a strong vaccine response with lasting antibody production, robust cellular immunity, and immunological memory formation.

Conclusion: The proposed multiepitope vaccine construct, consisting of carefully selected uPAR epitopes and a potent adjuvant, exhibits promising characteristics for inducing a robust immune response against cancer cells expressing uPAR. The favorable in silico results warrant further experimental validation and preclinical studies to assess the vaccine's efficacy and potential as a cancer immunotherapeutic agent.

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来源期刊
CiteScore
6.90
自引率
2.40%
发文量
423
审稿时长
15 weeks
期刊介绍: Journal of Immunology Research is a peer-reviewed, Open Access journal that provides a platform for scientists and clinicians working in different areas of immunology and therapy. The journal publishes research articles, review articles, as well as clinical studies related to classical immunology, molecular immunology, clinical immunology, cancer immunology, transplantation immunology, immune pathology, immunodeficiency, autoimmune diseases, immune disorders, and immunotherapy.
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