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.

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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
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article

Immunoinformatics-Aided Design of a Multiepitope Vaccine Against Eimeria Tenella -Associated Chicken Coccidiosis

Adeyinka Fadahunsi, Clifford Adinma Chineke, A. J. Atansuyi, A. O. Adebayo
1 citations
Bioinformatics and Biology Insights
vaccines and immunoinformatics approaches
0.81
article

Immunoinformatics-Aided Design of a Multiepitope Vaccine Against Eimeria Tenella -Associated Chicken Coccidiosis

Adeyinka Fadahunsi, Clifford Adinma Chineke, A. J. Atansuyi, A. O. Adebayo
article en
1 citations

Abstract

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.

Bioinformatics and Biology InsightsVol. 19
Federal University of Technology (NG), Elizade University (NG)
Good health and well-being
Openalex Percentile: Top 27%
vaccines and immunoinformatics approaches
0.81
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