Evidence map›Paper›PMID 39919064›Full record

ArticlePloS one2025

Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori.

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 and 2 more

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in immunology · 2026
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Md NahianDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-6835-986X
Md Rasel KhanDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0006-7427-2246
Fabiha RahmanDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Hossain Mohammed RezaFaculty of Life and Health Sciences, School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, Northern Ireland.
Imren BayilDepartment of Bioinformatics and Computational Biology, Gaziantep University, Gaziantep, Turkey.
Tanjum Ahmed NodeeDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Tabassum BasherDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Mostafizur Rahaman SanyDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Rabeya Najnin MunmunDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
S M Ariful HabibDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Lincon MazumderDepartment of Microbiology, Jagannath University, Dhaka, Bangladesh.
Mrityunjoy AcharjeeDepartment of Microbiology, Stamford University Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0287-2537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Bacterial VaccinesComputational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteHelicobacter InfectionsHelicobacter pyloriVaccine DevelopmentVaccines, SubunitAntigens, BacterialBacterial ProteinsHumansMolecular Docking SimulationAntigens, BacterialBacterial ProteinsBacterial VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, Subunit

Identifiers

PMID39919064
PMCPMC11805379

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.