Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells
Abstract Background Helicobacter pylori cause a variety of gastric malignancies, gastric ulcers, and cause erosive diseases. The extreme nature of the bacterium and the implantation of this bacterium protects it against designing a potent drug against it. Therefore, employing a precise and effective...
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| Format: | Article |
| Language: | English |
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BMC
2023-09-01
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| Series: | BMC Biotechnology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12896-023-00814-5 |
| _version_ | 1797452184647892992 |
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| author | Zahra Ahmadzadeh Chaleshtori Ali Asghar Rastegari Hashem Nayeri Abbas Doosti |
| author_facet | Zahra Ahmadzadeh Chaleshtori Ali Asghar Rastegari Hashem Nayeri Abbas Doosti |
| author_sort | Zahra Ahmadzadeh Chaleshtori |
| collection | DOAJ |
| description | Abstract Background Helicobacter pylori cause a variety of gastric malignancies, gastric ulcers, and cause erosive diseases. The extreme nature of the bacterium and the implantation of this bacterium protects it against designing a potent drug against it. Therefore, employing a precise and effective design for a more safe and stable antigenic vaccine against this pathogen can effectively control its associated infections. This study, aimed at improving the design of multiple subunit vaccines against H. pylori, adopts multiple immunoinformatics approaches in combination with other computational approaches. Results In this regard, 10 HTL, and 11 CTL epitopes were employed based on appropriate adopted MHC binding scores and c-terminal cut-off scores of 4 main selected proteins (APO, LeoA, IceA1, and IceA2). An adjuvant was added to the N end of the vaccine to achieve higher stability. For validation, immunogenicity and sensitization of physicochemical analyses were performed. The vaccine could be antigenic with significantly strong interactions with TOLK-2, 4, 5, and 9 receptors. The designed vaccine was subjected to Gromacs simulation and immune response prediction modelling that confirmed expression and immune-stimulating response efficiency. Besides, the designed vaccine showed better interactions with TLK-9. Conclusions Based on our analyses, although the suggested vaccine could induce a clear response against H. pylori, precise laboratory validation is required to confirm its immunogenicity and safety status. |
| first_indexed | 2024-03-09T15:05:07Z |
| format | Article |
| id | doaj.art-a0f0f4968a35419db160c15a97d85571 |
| institution | Directory Open Access Journal |
| issn | 1472-6750 |
| language | English |
| last_indexed | 2024-03-09T15:05:07Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Biotechnology |
| spelling | doaj.art-a0f0f4968a35419db160c15a97d855712023-11-26T13:43:57ZengBMCBMC Biotechnology1472-67502023-09-0123111610.1186/s12896-023-00814-5Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cellsZahra Ahmadzadeh Chaleshtori0Ali Asghar Rastegari1Hashem Nayeri2Abbas Doosti3Department of Biochemistry, Falavarjan Branch, Islamic Azad UniversityDepartment of Molecular and Cell Biochemistry, Falavarjan Branch, Islamic Azad UniversityDepartment of Biochemistry, Falavarjan Branch, Islamic Azad UniversityBiotechnology Research Center, Shahrekord Branch, Islamic Azad UniversityAbstract Background Helicobacter pylori cause a variety of gastric malignancies, gastric ulcers, and cause erosive diseases. The extreme nature of the bacterium and the implantation of this bacterium protects it against designing a potent drug against it. Therefore, employing a precise and effective design for a more safe and stable antigenic vaccine against this pathogen can effectively control its associated infections. This study, aimed at improving the design of multiple subunit vaccines against H. pylori, adopts multiple immunoinformatics approaches in combination with other computational approaches. Results In this regard, 10 HTL, and 11 CTL epitopes were employed based on appropriate adopted MHC binding scores and c-terminal cut-off scores of 4 main selected proteins (APO, LeoA, IceA1, and IceA2). An adjuvant was added to the N end of the vaccine to achieve higher stability. For validation, immunogenicity and sensitization of physicochemical analyses were performed. The vaccine could be antigenic with significantly strong interactions with TOLK-2, 4, 5, and 9 receptors. The designed vaccine was subjected to Gromacs simulation and immune response prediction modelling that confirmed expression and immune-stimulating response efficiency. Besides, the designed vaccine showed better interactions with TLK-9. Conclusions Based on our analyses, although the suggested vaccine could induce a clear response against H. pylori, precise laboratory validation is required to confirm its immunogenicity and safety status.https://doi.org/10.1186/s12896-023-00814-5Helicobacter pyloriImmunoinformaticsVaccineLeoAIceA1IceA2 |
| spellingShingle | Zahra Ahmadzadeh Chaleshtori Ali Asghar Rastegari Hashem Nayeri Abbas Doosti Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells BMC Biotechnology Helicobacter pylori Immunoinformatics Vaccine LeoA IceA1 IceA2 |
| title | Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells |
| title_full | Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells |
| title_fullStr | Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells |
| title_full_unstemmed | Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells |
| title_short | Use of immunoinformatics and the simulation approach to identify Helicobacter pylori epitopes to design a multi-epitope subunit vaccine for B- and T-cells |
| title_sort | use of immunoinformatics and the simulation approach to identify helicobacter pylori epitopes to design a multi epitope subunit vaccine for b and t cells |
| topic | Helicobacter pylori Immunoinformatics Vaccine LeoA IceA1 IceA2 |
| url | https://doi.org/10.1186/s12896-023-00814-5 |
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