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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Pathak, Rajesh Kumar Lim, Byeonghwi Kim, Do-Young Kim, Jun-Mo |
| Abstract | Background Milk provides energy as well as the basic nutrients required by the body. In particular, milk is beneficial for bone growth and development in children. Based on scientific evidence, cattle milk is an excellent and highly nutritious dietary component that is abundant in vitamins, calcium, potassium, and protein, among other minerals. However, the commercial productivity of cattle milk is markedly affected by mastitis. Mastitis is an economically important disease that is characterized by inflammation of the mammary gland. This disease is frequently caused by microorganisms and is detected as abnormalities in the udder and milk. Streptococcus agalactiae is a prominent cause of mastitis. Antibiotics are rarely used to treat this infection, and other available treatments take a long time to exhibit a therapeutic effect. Vaccination is recommended to protect cattle from mastitis. Accordingly, the present study sought to design a multi-epitope vaccine using immunoinformatics. Results The vaccine was designed to be antigenic, immunogenic, non-toxic, and non-allergic, and had a binding affinity with Toll-like receptor 2 (TLR2) and TLR4 based on structural modeling, docking, and molecular dynamics simulation studies. Besides, the designed vaccine was successfully expressed in E. coli. expression vector (pET28a) depicts its easy purification for production on a larger scale, which was determined through in silico cloning. Further, immune simulation analysis revealed the effectiveness of the vaccine with an increase in the population of B and T cells in response to vaccination. Conclusion This multi-epitope vaccine is expected to be effective at generating an immune response, thereby paving the way for further experimental studies to combat mastitis. |
| Related Links | https://bmcvetres.biomedcentral.com/counter/pdf/10.1186/s12917-022-03432-z.pdf |
| Ending Page | 17 |
| Page Count | 17 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17466148 |
| DOI | 10.1186/s12917-022-03432-z |
| Journal | BMC Veterinary Research |
| Issue Number | 1 |
| Volume Number | 18 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-09-07 |
| Access Restriction | Open |
| Subject Keyword | Veterinary Medicine Veterinary Science Zoology Transgenics Cattle Mastitis Multi-epitope vaccine Epitope prediction Immunoinformatics Veterinary Medicine/Veterinary Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Veterinary Medicine |
| Journal Impact Factor | 2.3/2023 |
| 5-Year Journal Impact Factor | 2.6/2023 |
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