Immunoinformatics-Aided Design of a Multiepitope Vaccine Against <i>Eimeria Tenella</i> -Associated Chicken Coccidiosis
Avian coccidiosis, caused by Eimeria protozoa, presents a significant threat to poultry, with <i>Eimeria tenella</i> being particularly harmful due to its impact on the chicken cecum. Growing resistance to current treatments necessitates alternative therapeutic approaches. Consequently, this study employed an immunoinformatics approach to design a multiepitope vaccine targeting <i>E tenella</i>. Key proteins, including the sporulated oocyst TA4 antigen, alkylglycerone-phosphate synthase, and apical membrane antigen-1, were analysed for epitope prediction. Further comprehensive downstream analysis identified 13 MHC class I, 6 MHC class II, and 7 B-cell epitopes, which were linked with suitable linkers. Also, cholera toxin subunit B was incorporated as an adjuvant, creating a 531-amino-acid construct. The vaccine demonstrated favourable predicted antigenicity, non-allergenicity, and stability properties. Molecular docking predicted interaction with toll-like receptor 15, while immune response simulation showed potential induction of various immunocytes, including helper and cytotoxic T-cells, natural killer cells, and immunoglobulins. The vaccine was predicted to promote antigen clearance after the second dose, suggesting strong memory response potential. These findings indicate the designed vaccine could stimulate a potent protective immune response against <i>E tenella</i> infection. However, further in vitro and in vivo validation studies are necessary to confirm the vaccine's efficacy before clinical application in poultry immunization programmes.
Authors
- Adeyinka Fadahunsi (ORCID: https://orcid.org/0000-0002-9895-1124)
- Clifford Adinma Chineke
- A. J. Atansuyi
- A. O. Adebayo (ORCID: https://orcid.org/0000-0003-4607-9247)
Institutions
- Federal University of Technology (NG)
- Elizade University (NG)
Publication Details
- Journal
- Bioinformatics and Biology Insights
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1177/11779322251348307
- Citations
- 1
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.81