Bovine leukemia virus (BLV) is the causative agent of enzootic bovine leucosis (EBL), which has been reported worldwide. The expression of viral structural proteins: surface glycoprotein (gp51) and three core proteins - p15 (matrix), p24 (capsid), and p12 (nucleocapsid) induce a strong humoral and cellular immune response at first step of infection. CD4+ T-cell activation is generally induced by bovine leukocyte antigen (BoLA) region- positive antigen-presenting cells (APC) after processing of an exogenous viral antigen. Limited data are available on the BLV epitopes from the core proteins recognized by CD4+ T-cells. Thus, immunoinformatic analysis of Gag sequences obtained from 125 BLV isolates from Poland, Canada, Pakistan, Kazakhstan, Moldova and United States was performed to identify the presence of BoLA-DRB3 restricted CD4+ T-cell epitopes. The 379 15-mer overlapping peptides spanning the entire Gag sequence were run in BoLA-DRB3 allele-binding regions using a BoLA-DRB- peptide binding affinity prediction algorithm. The analysis identified 22 CD4+ T-cell peptide epitopes of variable length ranging from 17 to 22 amino acids. The predicted epitopes interacted with 73 different BoLA-DRB3 alleles found in BLV-infected cattle. Importantly, two epitopes were found to be linked with high proviral load in PBMC. A majority of dominant and subdominant epitopes showed high conservation across different viral strains, and therefore could be attractive targets for vaccine development.
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http://dx.doi.org/10.1038/s41598-023-48899-4 | DOI Listing |
Arch Virol
December 2024
Center for Animal Disease Control, University of Miyazaki, Miyazaki, 889-2192, Japan.
Bovine viral diarrhea (BVD), caused by bovine viral diarrhea virus (BVDV), has a significant economic impact on affected farms worldwide. For effective disease control, it is crucial to select an appropriate vaccine based on the specific genotype of BVDV. Therefore, developing a rapid and reliable assay to detect and genotype BVDV is imperative for controlling the spread of disease.
View Article and Find Full Text PDFBackground: Bovine leukaemia virus (BLV)-infected Holstein cattle carrying certain bovine leukocyte antigen (BoLA)-DRB3 alleles were previously shown to be resistant to BLV provirus multiplication, while those carrying other alleles were susceptible. This study aimed to determine whether the BoLA-DRB3 alleles carried by BLV-infected cattle could predict proviral load (PVL) and peripheral blood lymphocyte (PBL) count distribution (PVL/PBL distribution).
Methods: Blood samples from Holstein cattle on four dairy farms were tested for the presence of BLV antibodies using a commercial ELISA.
Prev Vet Med
November 2024
Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32610, USA. Electronic address:
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for screening cows for infectious diseases such as bovine leukemia virus (BLV) infection. Here, we compared six different SML algorithms to identify the most important risk factors for predicting BLV seropositivity in dairy cattle in Florida. We used a dataset of 1279 dairy blood sample records from the Bronson Animal Disease Diagnostic Laboratory that were submitted for BLV antibody testing from 2012 to 2022.
View Article and Find Full Text PDFVet Clin North Am Food Anim Pract
December 2024
Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Mycobacterium avium subspecies paratuberculosis infection, salmonellosis, and bovine leukosis virus are important dairy and beef cattle diseases from a health perspective. For herds without infection, keeping the disease out through testing of source herds should be prioritized. For herds with infection, control programs should be instituted and followed to reduce the prevalence and ultimately eliminate the disease.
View Article and Find Full Text PDFRetrovirology
December 2024
Department of Microbiology and Virology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
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