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Immunoinformatic construction of an adenovirus-based modular vaccine platform and its application in the design of a SARS-CoV-2 vaccine.

ABSTRACT: The current SARS-CoV-2 pandemic has imposed new challenges and demands for health systems, especially in the development of new vaccine strategies. Vaccines for many pathogens were developed based on the display of foreign epitopes in the variable regions of the human adenovirus (HAdV) major capsid proteins (hexon, penton and fiber). The humoral immune response against the HAdV major capsid proteins was demonstrated to play a role in the development of an immune response against the epitopes in display. Through the immunoinformatic profiling of the major capsid proteins of HAdVs from different species, we developed a modular concept that can be used in the development of vaccines based on HAdV vectors. Our data suggests that different immunomodulatory potentials can be observed in the conserved regions, present in the hexon and penton proteins, from different species. Using this modular approach, we developed a HAdV-5 based vaccine strategy for SARS-CoV-2, constructed through the display of SARS-CoV-2 epitopes indicated by our prediction analysis as immunologically relevant. The sequences of the HAdV vector major capsid proteins were also edited to enhance the IFN-gamma induction and antigen presenting cells activation. This is the first study proposing a modular HAdV platform developed to aid the design of new vaccines by inducing an immune response more suited for the epitopes in display.

SUBMITTER: Porto PS

PROVIDER: S-EPMC7833690 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Immunoinformatic construction of an adenovirus-based modular vaccine platform and its application in the design of a SARS-CoV-2 vaccine.

Porto Pedro Soares PS Anjos Déborah D Dábilla Nathânia N da Fonseca Simone Gonçalves SG Souza Menira M

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 20200803

The current SARS-CoV-2 pandemic has imposed new challenges and demands for health systems, especially in the development of new vaccine strategies. Vaccines for many pathogens were developed based on the display of foreign epitopes in the variable regions of the human adenovirus (HAdV) major capsid proteins (hexon, penton and fiber). The humoral immune response against the HAdV major capsid proteins was demonstrated to play a role in the development of an immune response against the epitopes in ...[more]

PMID: 32758675

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Project description:A novel infectious agent, SARS-CoV-2, is responsible for causing the severe respiratory disease COVID-19 and death in humans. Spike glycoprotein plays a key role in viral particles entering host cells, mediating receptor recognition and membrane fusion, and are considered useful targets for antiviral vaccine candidates. Therefore, computational techniques can be used to design a safe, antigenic, immunogenic, and stable vaccine against this pathogen. Drawing upon the structure of the S glycoprotein, we are trying to develop a potent multi-epitope subunit vaccine against SARS-CoV-2. The vaccine was designed based on cytotoxic T-lymphocyte and helper T-lymphocyte epitopes with an N-terminal adjuvant via conducting immune filters and an extensive immunoinformatic investigation. The safety and immunogenicity of the designed vaccine were further evaluated via using various physicochemical, allergenic, and antigenic characteristics. Vaccine-target (toll-like receptors: TLR2 and TLR4) interactions, binding affinities, and dynamical stabilities were inspected through molecular docking and molecular dynamic (MD) simulation methods. Moreover, MD simulations for dimeric TLRs/vaccine in the membrane-aqueous environment were performed to understand the differential domain organization of TLRs/vaccine. Further, dynamical behaviors of vaccine/TLR systems were inspected via identifying the key residues (named HUB nodes) that control interaction stability and provide a clear molecular mechanism. The obtained results from molecular docking and MD simulation revealed a strong and stable interaction between vaccine and TLRs. The vaccine's ability to stimulate the immune response was assessed by using computational immune simulation. This predicted a significant level of cytotoxic T cell and helper T cell activation, as well as IgG, interleukin 2, and interferon-gamma production. This study shows that the designed vaccine is structurally and dynamically stable and can trigger an effective immune response against viral infections.

Project description:New universal prophylactic vaccine platforms are needed to prevent or reduce the impact of future respiratory viral infections. While the attribute of T memory cells is particularly attractive in the context of vaccine design for viral infection, the efficiency of T and B memory cell-mediated protection generated under the adenoviral vector was tested. We studied the mechanism using the platform/ immunological factor combination (AdV1+rRBD): adenovirus AdV1 (adjuvant) armed with inducible co-stimulator ICOS and CD40 ligand in combination with recombinant spike protein rRBD (antigen) to promote the differentiation of memory T and B cells. Additionally, adenovirus AdV2 (adjuvant) without ICOS and CD40 ligand in combination with rRBD was tested. Investigating ex vivo T cell responses to the platform-specific stimuli, we found higher frequencies of CD8+ than CD4+ platform-specific T cells vs mock. The cytometric analysis showed that T cells confer protection against SARS-CoV-2 via elevated T cell subsets: CD8+TEMRA (57.6% ± SD 3.3 vs mock 39.6% ± SD 4.83) and CD4+TNAÏVE (59.6% ± SD 0.4 vs mock 50.8% ± SD 1.9). We found that CD8+TEM, CD8+TSCM, and CD8+TCM are antigen-experienced subpopulations generated via the platform after 7 days. When stimulated with the immunological factors, B cells changed from the production of IgM and IgD to isotype IgG. The CD40 gene was significantly expressed (RT-qPCR) in VERO E6 after stimulation with the platform. RNA-seq profiling identified Th1, Th2, and Th17 cell differentiation gene expression patterns that effectively protect against different pathogens. RNA-seq analysis determined signaling pathways that control immunological mechanisms by which the platform induces protective immunity: MAPK cascade, adipocytokine, cAMP, TNF, and Toll-like receptor (TLR) signaling pathway. The formulation (AdV1+rRBD) increased the production of IL-6, IL-8, and TNF vs the mock (P<0.0001). The whole-genome sequencing of VERO E6 showed differences in the expression of apoptosis gene stimulated with the platforms vs mock. Moreover, apoptotic hallmarks were identified and quantified using flow cytometry. We proved that immunogenic factors compromised plasma membrane integrity (RNA-seq). To sum up, the proposed adenoviral platform generated innate and adaptive immunity for the complex and robust regulatory system to prevent SARS-CoV-2 infections.

Dataset Information

Immunoinformatic construction of an adenovirus-based modular vaccine platform and its application in the design of a SARS-CoV-2 vaccine.

Publications

Immunoinformatic construction of an adenovirus-based modular vaccine platform and its application in the design of a SARS-CoV-2 vaccine.

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