Design of Innovative Divalent Cj1621 and CjaA Multiepitope mRNA‐Based Vaccine Against Foodborne <i>Campylobacter jejuni</i> Using In Silico Approaches

<i>Campylobacter jejuni</i> is one of the main causes of gastroenteritis in human and animals worldwide. Emergence of antibiotic resistance in microorganisms increased the need to develop new types of vaccines. The present study aimed to design novel multiepitope mRNA vaccine against <i>Campylobacter jejuni</i> using immunoinformatics tools. For this purpose, two virulence <i>C. jejuni</i> proteins (Cj1621 and CjaA) were selected as antigen targets, and the appropriate epitopes were predicted using immunoinformatics tools and molecular models. Five cytotoxic T lymphocyte, six helper T lymphocyte, four linear B-cell, and one conformational B-cell epitopes were linked together with an appropriate linker, and then, adjuvant (RpfE) was attached to the construct candidate. Physiochemical, immunological, secondary, and 3D structure evaluation of the proposed vaccine showed it is immunogenic, nontoxic, nonallergic, flexible, and stable. Furthermore, docking shows that the vaccine has stable interaction with the immune receptors TLR (TLR-2 and TLR-4) and B7 (B7-1 and B7-2). Moreover, analysis of the vaccine with the MD server shows its ability to induce humoral and cellular immunity of the selected host. Overall, our findings indicate that the proposed vaccine could be a promising option against <i>Campylobacter jejuni</i> infection; however, further lab-based studies are needed to confirm the efficiency and safety of this vaccine.

Authors

Institutions

Publication Details

Journal
Veterinary Medicine International
Published
2025-01-01
DOI
https://doi.org/10.1155/vmi/3487209
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of Innovative Divalent Cj1621 and CjaA Multiepitope mRNA‐Based Vaccine Against Foodborne Campylobacter jejuni Using In Silico Approaches

Amir Hani Raziq, Amjed Alsultan, Simon R. Clarke, Behrooz Sadeghi Kalani et al.
Veterinary Medicine International
Bacteriophages and microbial interactions
article

Design of Innovative Divalent Cj1621 and CjaA Multiepitope mRNA‐Based Vaccine Against Foodborne Campylobacter jejuni Using In Silico Approaches

Amir Hani Raziq, Amjed Alsultan, Simon R. Clarke, Behrooz Sadeghi Kalani, Dhama Al-sallami
article en

Abstract

<i>Campylobacter jejuni</i> is one of the main causes of gastroenteritis in human and animals worldwide. Emergence of antibiotic resistance in microorganisms increased the need to develop new types of vaccines. The present study aimed to design novel multiepitope mRNA vaccine against <i>Campylobacter jejuni</i> using immunoinformatics tools. For this purpose, two virulence <i>C. jejuni</i> proteins (Cj1621 and CjaA) were selected as antigen targets, and the appropriate epitopes were predicted using immunoinformatics tools and molecular models. Five cytotoxic T lymphocyte, six helper T lymphocyte, four linear B-cell, and one conformational B-cell epitopes were linked together with an appropriate linker, and then, adjuvant (RpfE) was attached to the construct candidate. Physiochemical, immunological, secondary, and 3D structure evaluation of the proposed vaccine showed it is immunogenic, nontoxic, nonallergic, flexible, and stable. Furthermore, docking shows that the vaccine has stable interaction with the immune receptors TLR (TLR-2 and TLR-4) and B7 (B7-1 and B7-2). Moreover, analysis of the vaccine with the MD server shows its ability to induce humoral and cellular immunity of the selected host. Overall, our findings indicate that the proposed vaccine could be a promising option against <i>Campylobacter jejuni</i> infection; however, further lab-based studies are needed to confirm the efficiency and safety of this vaccine.

Veterinary Medicine InternationalVol. 2025(1)
Medical University of Ilam (IR), Ilam University (IR), University of Al-Qadisiyah (IQ), University of Duhok (IQ), University of Reading (GB)
Openalex Percentile: Top 85%
Bacteriophages and microbial interactions
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.