Design of a multi-epitope vaccine against intestinal parasites associated with colorectal cancer using immunoinformatics approaches

The increasing prevalence of gastrointestinal infections caused by Cryptosporidium parvum and Schistosoma mansoni, coupled with the lack of definitive treatments, underscores the need for vaccine development to prevent infection-related cancers. Using experimentally validated epitopes for vaccine development enhances confidence in inducing strong and durable immune responses compared to predicted epitopes, which require lab validation. In this study, we employed a unique computational strategy using 197 experimentally validated epitopes of C. parvum and S. mansoni obtained from the IEDB database. After applying homology filters against human proteome and microbiome sequences and conducting HLA population coverage analysis, we chose seven cytotoxic T lymphocyte (CTL), seven helper T cell (HTL), and five B-cell epitopes. These were combined with an RpfE adjuvant and appropriate linkers to design a highly immunogenic chimeric antigen with broad global coverage, optimized for stability, solubility, and manufacturability. Molecular docking revealed strong binding affinities of CTL and HTL epitopes to their respective HLA alleles. Immune simulations demonstrated the multi-epitope antigen's ability to elicit both innate and adaptive immune responses. Docking of the vaccine construct with immune receptors (TLR2-TLR1 and TLR4-MD2) yielded significant scores of - 179.8 ± 4.5 and - 191.5 ± 3.4 kcal/mol, respectively. Molecular dynamics simulations verified the structural stability of vaccine-receptor complexes, while binding free energy calculations reinforced their strong affinities. Finally, in silico cloning validated the vaccine's potential for efficient E. coli expression. These computational findings support the construct as a promising vaccine candidate against C. parvum and S. mansoni, warranting further experimental validation.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-08
DOI
https://doi.org/10.1038/s41598-025-31713-8
Citations
1
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of a multi-epitope vaccine against intestinal parasites associated with colorectal cancer using immunoinformatics approaches

Razieh Heidari, Seyed Abbas Mirzaei, Ehsan Heidari-Soureshjani, Shahkaar Aziz et al.
1 citations
Scientific Reports
vaccines and immunoinformatics approaches
0.81
article

Design of a multi-epitope vaccine against intestinal parasites associated with colorectal cancer using immunoinformatics approaches

Razieh Heidari, Seyed Abbas Mirzaei, Ehsan Heidari-Soureshjani, Shahkaar Aziz, Fatemeh Karimzadeh, Fatemeh Mahmoudi Lamooki
article en
1 citations

Abstract

The increasing prevalence of gastrointestinal infections caused by Cryptosporidium parvum and Schistosoma mansoni, coupled with the lack of definitive treatments, underscores the need for vaccine development to prevent infection-related cancers. Using experimentally validated epitopes for vaccine development enhances confidence in inducing strong and durable immune responses compared to predicted epitopes, which require lab validation. In this study, we employed a unique computational strategy using 197 experimentally validated epitopes of C. parvum and S. mansoni obtained from the IEDB database. After applying homology filters against human proteome and microbiome sequences and conducting HLA population coverage analysis, we chose seven cytotoxic T lymphocyte (CTL), seven helper T cell (HTL), and five B-cell epitopes. These were combined with an RpfE adjuvant and appropriate linkers to design a highly immunogenic chimeric antigen with broad global coverage, optimized for stability, solubility, and manufacturability. Molecular docking revealed strong binding affinities of CTL and HTL epitopes to their respective HLA alleles. Immune simulations demonstrated the multi-epitope antigen's ability to elicit both innate and adaptive immune responses. Docking of the vaccine construct with immune receptors (TLR2-TLR1 and TLR4-MD2) yielded significant scores of - 179.8 ± 4.5 and - 191.5 ± 3.4 kcal/mol, respectively. Molecular dynamics simulations verified the structural stability of vaccine-receptor complexes, while binding free energy calculations reinforced their strong affinities. Finally, in silico cloning validated the vaccine's potential for efficient E. coli expression. These computational findings support the construct as a promising vaccine candidate against C. parvum and S. mansoni, warranting further experimental validation.

Scientific ReportsVol. 16(1)
Shahrekord University (IR), Shahrekord University of Medical Sciences (IR), The University of Agriculture, Peshawar (PK), Ferdowsi University of Mashhad (IR)
Shahrekord University, Shahrekord University of Medical Sciences
Openalex Percentile: Top 21%
vaccines and immunoinformatics approaches
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.