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In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice.
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.
Afiliação
  • Bazhan SI; Theoretical Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Antonets DV; Theoretical Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Starostina EV; Bioengineering Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Ilyicheva TN; Department of zoonotic infections and Influenza, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Kaplina ON; Bioengineering Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Marchenko VY; Department of zoonotic infections and Influenza, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Volkova OY; Immunogenetics laboratory, Institute of Molecular and Cellular Biology of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
  • Bakulina AY; Theoretical Department, State Research Center of Virology and Biotechnology "Vector", Koltsovo, Novosibirsk Region, Russia.
  • Karpenko LI; Laboratory of structural bioinformatics and molecular modeling, Novosibirsk State University, Novosibirsk, Russia.
J Biomol Struct Dyn ; 40(7): 3196-3212, 2022 04.
Article em En | MEDLINE | ID: mdl-33222632
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Influenza Humana / Vírus da Influenza A Subtipo H1N1 Limite: Animals / Humans Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Influenza Humana / Vírus da Influenza A Subtipo H1N1 Limite: Animals / Humans Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2022 Tipo de documento: Article