Evidence map›Paper›PMID 41252394›Full record

ArticlePloS one2025

In silico design of a multi-epitope vaccine against Cryptosporidium parvum using structural and immunoinformatics approaches.

Guneswar Sethi, Avinash Kant Lakra, Kirti Nirmal, Jeong Ho Hwang

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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. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Guneswar SethiCenter for Large Animals Convergence Research, Korea Institute of Toxicology, Jeongeup-si, Jeollabuk-do, Korea.
Avinash Kant LakraTranslational Health Science and Technology Institute, Faridabad, Haryana, India.
Kirti NirmalDepartment of Microbiology, University College of Medical Sciences, Delhi, India.
Jeong Ho HwangDivision of Advanced Predictive Research, Center for Bio-Signal Research, Korea Institute of Toxicology, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-4763-8373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidium parvum is a waterborne protozoan parasite responsible for diarrheal illness in humans and animals. The lack of effective vaccines and the emergence of antimicrobial resistance underscore the urgent need for novel prophylactic strategies.

methodsA structure-based immunoinformatics approach was used to design a multi-epitope subunit vaccine (MESV) targeting immunogenic regions of C. parvum. Three proteins, Cp15, Cp23, and CpP2, were selected based on antigenicity, non-allergenicity, non-homology with host proteins, and absence of transmembrane domains. B-cell, CD4+, CD8+, and IFN-γ-inducing epitopes were identified and screened for high antigenicity, non-allergenicity, and non-toxicity. To enhance immune recognition, the lipoprotein LprA, a TLR2 agonist, was fused at the N-terminus using an EAAAK linker, and a PADRE sequence was added to improve helper T-cell responses. Linkers were applied to ensure proper epitope separation and processing. Population coverage was analyzed to evaluate the distribution of HLA-restricted epitopes across global populations. Structural modeling and flexibility analysis (CABS-flex) were performed to assess construct stability. Interactions with TLR2 and TLR4 were examined via molecular docking and 100-ns molecular dynamics (MD) simulations, with MM-GBSA used to estimate binding free energies. Immune simulations predicted host immune responses, while codon optimization, in silico cloning, and mRNA secondary structure prediction assessed expression and transcript stability.

resultsThe MESV showed strong binding to TLR2 (-1328.4 kcal/mol) and TLR4 (-1133.3 kcal/mol), with MD simulations confirming stable complexes. Immune simulations indicated robust antibody production, T-cell activation, cytokine release, and dendritic cell recruitment. The vaccine demonstrated global HLA population coverage of 95.92%, with favorable expression and mRNA folding profiles.

conclusionThe MESV construct demonstrated strong immunogenicity, structural stability, and broad population coverage, underscoring its potential as a promising vaccine candidate against C. parvum. Furthermore, experimental validation is warranted to confirm its safety and efficacy.

Indexed as

CryptosporidiosisCryptosporidium parvumEpitopesProtozoan VaccinesComputational BiologyComputer SimulationEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationProtozoan ProteinsToll-Like Receptor 2Toll-Like Receptor 4Vaccines, SubunitEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtozoan ProteinsProtozoan VaccinesToll-Like Receptor 2Toll-Like Receptor 4Vaccines, Subunit

Identifiers

PMID41252394
PMCPMC12626319

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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.