Evidence map›Paper›PMID 40739488›Full record

ArticleBMC infectious diseases2025

Immunoinformatic design of chimeric multiepitope vaccine for the prevention of human metapneumovirus (hMPV).

Maryam Ehsasatvatan, Bahram Baghban Kohnehrouz, Mohammad Salavatizadeh

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Review
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  7. Article
  8. Vaccine trends: a narrative review.Journal of Yeungnam medical science · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Maryam EhsasatvatanDepartment of Plant Breeding & Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, 51666, Iran.ORCID http://orcid.org/0000-0001-8752-9203
Bahram Baghban KohnehrouzDepartment of Plant Breeding & Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, 51666, Iran. bahramrouz@yahoo.com.ORCID http://orcid.org/0000-0003-1558-7484
Mohammad SalavatizadehDepartment of Pediatric Diseases, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.ORCID http://orcid.org/0000-0001-6233-1444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman metapneumovirus (hMPV) is a significant etiological agent of acute respiratory infections in children and immunocompromised individuals. Despite its growing clinical impact, no approved vaccines or targeted antiviral therapies are currently available.

methodsAn immunoinformatic approach was employed to design a chimeric multi-epitope vaccine candidate against hMPV. Conserved and virulence-associated proteins were analyzed to predict highly antigenic B cell, cytotoxic T lymphocyte (CTL), and helper T lymphocyte (HTL) epitopes. The selected epitopes were screened for antigenicity, non-toxicity, non-allergenicity, and lack of homology to human proteins. The final construct included six B cell epitopes, six CTL epitopes, and two HTL epitopes, linked with appropriate adjuvants and Toll-like receptor (TLR) agonists. Structural modeling, molecular docking, and molecular dynamics simulations were conducted to evaluate the stability and receptor binding. Immunogenicity and expression potential were assessed through in silico immune simulation and codon optimization for expression in Escherichia coli.

resultsAll selected epitopes showed high antigenicity with no allergenic or toxicity. Structural validation indicated a stable vaccine construct with favorable physicochemical properties. Molecular docking analysis predicted a high binding affinity between the vaccine construct and TLR2/TLR4 receptors. Molecular dynamics (MD) simulations suggested that the docked complexes maintained stable interactions under simulated physiological conditions. In silico immune simulations predicted strong B- and T-cell responses following three doses. Codon adaptation analysis supported the high-level expression in E. coli.

conclusionThe proposed multi-epitope vaccine demonstrates strong potential against hMPV, as supported by comprehensive computational analyses. Further experimental studies are required to validate its efficacy and safety.

Indexed as

EpitopesEpitopes, T-LymphocyteMetapneumovirusParamyxoviridae InfectionsViral VaccinesComputational BiologyEpitopes, B-LymphocyteHumansMolecular Docking SimulationMolecular Dynamics SimulationEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteViral VaccinesHMPVImmunoinformaticMD simulationMolecular DockingMulti-epitope vaccine

Identifiers

PMID40739488
PMCPMC12312241

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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.