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甲型流感病毒人工表位基T细胞抗原的计算机辅助设计及其在小鼠体内的免疫原性评估。

In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice.

作者信息

Bazhan Sergei I, Antonets Denis V, Starostina Ekaterina V, Ilyicheva Tatyana N, Kaplina Olga N, Marchenko Vasiliy Yu, Volkova Olga Yu, Bakulina Anastasiya Yu, Karpenko Larisa I

机构信息

Theoretical Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.

Bioengineering Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.

出版信息

J Biomol Struct Dyn. 2022 Apr;40(7):3196-3212. doi: 10.1080/07391102.2020.1845978. Epub 2020 Nov 23.

Abstract

The polyepitope strategy is promising approach for successfully creating a broadly protective flu vaccine, which targets T-lymphocytes (both CD4+ and CD8+) to recognise the most conserved epitopes of viral proteins. In this study, we employed a computer-aided approach to develop several artificial antigens potentially capable of evoking immune responses to different virus subtypes. These antigens included conservative T-cell epitopes of different influenza A virus proteins. To design epitope-based antigens we used experimentally verified information regarding influenza virus T-cell epitopes from the Immune Epitope Database (IEDB) (http://www.iedb.org). We constructed two "human" and two "murine" variants of polyepitope antigens. Amino acid sequences of target polyepitope antigens were designed using our original TEpredict/PolyCTLDesigner software. Immunogenic and protective features of DNA constructs encoding "murine" target T-cell immunogens were studied in BALB/c mice. We showed that mice groups immunised with a combination of computer-generated "murine" DNA immunogens had a 37.5% survival rate after receiving a lethal dose of either A/California/4/2009 (H1N1) virus or A/Aichi/2/68 (H3N2) virus, while immunisation with live flu H1N1 and H3N2 vaccine strains provided protection against homologous viruses and failed to protect against heterologous viruses. These results demonstrate that mechanisms of cross-protective immunity may be associated with the stimulation of specific T-cell responses. This study demonstrates that our computer-aided approach may be successfully used for rational designing artificial polyepitope antigens capable of inducing virus-specific T-lymphocyte responses and providing partial protection against two different influenza virus subtypes.Communicated by Ramaswamy H. Sarma.

摘要

多表位策略是成功研发具有广泛保护作用的流感疫苗的一种有前景的方法,该策略靶向T淋巴细胞(CD4+和CD8+)以识别病毒蛋白中最保守的表位。在本研究中,我们采用计算机辅助方法开发了几种可能能够引发针对不同病毒亚型免疫反应的人工抗原。这些抗原包括甲型流感病毒不同蛋白的保守T细胞表位。为了设计基于表位的抗原,我们使用了来自免疫表位数据库(IEDB)(http://www.iedb.org)的关于流感病毒T细胞表位的经实验验证的信息。我们构建了多表位抗原 的两种“人源”和两种“鼠源”变体。使用我们自己的TEpredict/PolyCTLDesigner软件设计了目标多表位抗原的氨基酸序列。在BALB/c小鼠中研究了编码“鼠源”目标T细胞免疫原的DNA构建体的免疫原性和保护特性。我们发现,用计算机生成的“鼠源”DNA免疫原组合免疫的小鼠组,在接受致死剂量的A/加利福尼亚/4/2009(H1N1)病毒或A/爱知/2/68(H3N2)病毒后,存活率为37.5%,而用活流感H1N1和H3N2疫苗株免疫可提供针对同源病毒的保护,但不能保护免受异源病毒感染。这些结果表明,交叉保护性免疫机制可能与特异性T细胞反应的刺激有关。本研究表明,我们的计算机辅助方法可成功用于合理设计能够诱导病毒特异性T淋巴细胞反应并提供针对两种不同流感病毒亚型部分保护的人工多表位抗原。由Ramaswamy H. Sarma传达。

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