Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori.
Helicobacter pylori is a gram-negative bacterium that persistently infects the human stomach, leading to peptic ulcers, gastritis, and an increased risk of gastric cancer. The extremophilic characteristics of this bacterium make it resistant to current drug treatments, and there are no licensed vacc...
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| Format: | Article |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318750 |
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| author | Md Nahian Md Rasel Khan Fabiha Rahman Hossain Mohammed Reza Imren Bayil Tanjum Ahmed Nodee Tabassum Basher Mostafizur Rahaman Sany Rabeya Najnin Munmun S M Ariful Habib Lincon Mazumder Mrityunjoy Acharjee |
| author_facet | Md Nahian Md Rasel Khan Fabiha Rahman Hossain Mohammed Reza Imren Bayil Tanjum Ahmed Nodee Tabassum Basher Mostafizur Rahaman Sany Rabeya Najnin Munmun S M Ariful Habib Lincon Mazumder Mrityunjoy Acharjee |
| author_sort | Md Nahian |
| collection | DOAJ |
| description | Helicobacter pylori is a gram-negative bacterium that persistently infects the human stomach, leading to peptic ulcers, gastritis, and an increased risk of gastric cancer. The extremophilic characteristics of this bacterium make it resistant to current drug treatments, and there are no licensed vaccines available against H. pylori. Computational approaches offer a viable alternative for designing antigenic, stable, and safe vaccines to control infections caused by this pathogen. In this study, we employed an immunoinformatic strategy to design a set of candidate multi-epitope subunit vaccines by combining the most potent B and T cell epitopes from three targeted antigenic proteins (BabA, CagA, and VacA). Out of the 12 hypothetical vaccines generated, two (HP_VaX_V1 and HP_VaX_V2) were found to be strongly immunogenic, non-allergenic, and structurally stable. The proposed vaccine candidates were evaluated based on population coverage, molecular docking, immune simulations, codon adaptation, secondary mRNA structure, and in silico cloning. The vaccine candidates exhibited antigenic scores of 1.19 and 1.01, with 93.5% and 90.4% of the most rama-favored regions, respectively. HP_VaX_V1 and HP_VaX_V2 exhibited the strongest binding affinity towards TLR-7 and TLR-8, as determined by molecular docking simulations (ΔG = -20.3 and -20.9, respectively). Afterward, multi-scale normal mode analysis simulation revealed the structural flexibility and stability of vaccine candidates. Additionally, immune simulations showed elevated levels of cell-mediated immunity, while repeated exposure simulations indicated rapid antigen clearance. Finally, in silico cloning was performed using the expression vector pET28a (+) with optimized restriction sites to develop a viable strategy for large-scale production of the chosen vaccine constructs. These analyses suggest that the proposed vaccines may elicit potent immune responses against H. pylori, but laboratory validation is needed to verify their safety and immunogenicity. |
| format | Article |
| id | doaj-art-18d5979e5eb645f8aa538abbef82349a |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-18d5979e5eb645f8aa538abbef82349a2025-02-12T05:31:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031875010.1371/journal.pone.0318750Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori.Md NahianMd Rasel KhanFabiha RahmanHossain Mohammed RezaImren BayilTanjum Ahmed NodeeTabassum BasherMostafizur Rahaman SanyRabeya Najnin MunmunS M Ariful HabibLincon MazumderMrityunjoy AcharjeeHelicobacter pylori is a gram-negative bacterium that persistently infects the human stomach, leading to peptic ulcers, gastritis, and an increased risk of gastric cancer. The extremophilic characteristics of this bacterium make it resistant to current drug treatments, and there are no licensed vaccines available against H. pylori. Computational approaches offer a viable alternative for designing antigenic, stable, and safe vaccines to control infections caused by this pathogen. In this study, we employed an immunoinformatic strategy to design a set of candidate multi-epitope subunit vaccines by combining the most potent B and T cell epitopes from three targeted antigenic proteins (BabA, CagA, and VacA). Out of the 12 hypothetical vaccines generated, two (HP_VaX_V1 and HP_VaX_V2) were found to be strongly immunogenic, non-allergenic, and structurally stable. The proposed vaccine candidates were evaluated based on population coverage, molecular docking, immune simulations, codon adaptation, secondary mRNA structure, and in silico cloning. The vaccine candidates exhibited antigenic scores of 1.19 and 1.01, with 93.5% and 90.4% of the most rama-favored regions, respectively. HP_VaX_V1 and HP_VaX_V2 exhibited the strongest binding affinity towards TLR-7 and TLR-8, as determined by molecular docking simulations (ΔG = -20.3 and -20.9, respectively). Afterward, multi-scale normal mode analysis simulation revealed the structural flexibility and stability of vaccine candidates. Additionally, immune simulations showed elevated levels of cell-mediated immunity, while repeated exposure simulations indicated rapid antigen clearance. Finally, in silico cloning was performed using the expression vector pET28a (+) with optimized restriction sites to develop a viable strategy for large-scale production of the chosen vaccine constructs. These analyses suggest that the proposed vaccines may elicit potent immune responses against H. pylori, but laboratory validation is needed to verify their safety and immunogenicity.https://doi.org/10.1371/journal.pone.0318750 |
| spellingShingle | Md Nahian Md Rasel Khan Fabiha Rahman Hossain Mohammed Reza Imren Bayil Tanjum Ahmed Nodee Tabassum Basher Mostafizur Rahaman Sany Rabeya Najnin Munmun S M Ariful Habib Lincon Mazumder Mrityunjoy Acharjee Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. PLoS ONE |
| title | Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. |
| title_full | Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. |
| title_fullStr | Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. |
| title_full_unstemmed | Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. |
| title_short | Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. |
| title_sort | immunoinformatic strategy for developing multi epitope subunit vaccine against helicobacter pylori |
| url | https://doi.org/10.1371/journal.pone.0318750 |
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