Evidence map›Paper›PMID 40348967›Full record

ArticleBMC infectious diseases2025

Designing a multi-epitope universal vaccine for concurrent infections of SARS-CoV-2 and influenza viruses using an immunoinformatics approach.

Shirin Mohammadipour, Hadi Tavakkoli, Seyedeh Narges Fatemi, Aram Sharifi, Peyman Mahmoudi

Abstract read
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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. 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.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shirin MohammadipourDepartment of Pathobiology, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran. mohammadipourshirin20@gmail.com.
Hadi TavakkoliDepartment of Clinical Science, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran. tavakkoli@uk.ac.ir.
Seyedeh Narges FatemiFaculty of Veterinary Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Aram SharifiDepartment of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Kurdistan, Iran. A.sharifi@uok.ac.ir.
Peyman MahmoudiDepartment of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Kurdistan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) and influenza viruses share several conserved epitopes that can be utilized for the development of universal vaccines. Our previous research demonstrated that recombinant M2e-HA2 (Matrix-2 ectodomain-Hemagglutinin subunit 2) proteins derived from influenza elicited an immune response against the virus, suggesting their potential use in universal influenza vaccine formulations. Given the lack of a specific vaccine to address SARS‑CoV‑2 and influenza co-infections, this study aimed to design a universal vaccine using immunoinformatics methodologies.

methodsIn this study, B-cell and T-cell epitopes were identified from the nucleocapsid (N) protein of SARS‑CoV‑2. Additionally, the N-terminal segments of M2e (SLLTEVET) and HA2 (GLFGAIAGF) from influenza were incorporated to construct a multi-epitope vaccine. Suitable linkers were designed, and human beta-defensin-2 was selected as an adjuvant. Further evaluations were conducted, focusing on key parameters such as stability, allergenicity, and antigenicity.

resultsThe major histocompatibility complex (MHC) class I and II binding epitopes exhibited broad population coverage for the vaccine on a global scale. The vaccine structure was found to interact with toll-like receptor 3 (TLR-3), and the docked conformation of the vaccine/TLR-3 complex demonstrated high stability during molecular dynamics (MD) simulations. The constructed vaccine exhibited thermal stability across cold, ambient, and human body temperatures. Additionally, in silico cloning of the vaccine candidate into the pET-28a(+) vector was performed to facilitate production within the Escherichia coli expression system.

conclusionOverall, the findings suggest that the designed vaccine has the potential to serve as an effective universal vaccine and a promising strategy for controlling both Coronavirus disease 2019 (COVID-19) and influenza on a global scale.

Indexed as

COVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteInfluenza, HumanInfluenza VaccinesSARS-CoV-2Computational BiologyHumansImmunoinformaticsMolecular Dynamics SimulationOrthomyxoviridaeCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteInfluenza VaccinesImmunoinformaticsInfluenzaMolecular DockingMulti-epitope designSARS‑CoV‑2Universal vaccine

Identifiers

PMID40348967
PMCPMC12065216

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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.