ArticleJournal of veterinary internal medicine2022
Development of a predictive model for bovine leukemia virus proviral load.
Article in Journal of veterinary internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Molecular characterization of bovine leukemia virus detected in dairy cattle herds from the Emirate of Abu Dhabi, United Arab Emirates.Scientific reports · 2025Article
- Development and application of a quantitative polymerase chain reaction assay for the detection and genotyping of bovine leukemia virus in cattle from Kazakhstan.Veterinary world · 2025Article
- Impact of high proviral load on milk production, reproduction and subclinical diseases in dairy cows infected with bovine leukemia virus.Frontiers in veterinary science · 2025Article
- BLV-CoCoMo Dual qPCR Assay Targeting LTR Region for Quantifying Bovine Leukemia Virus: Comparison with Multiplex Real-Time qPCR Assay TargetingPathogens (Basel, Switzerland) · 2024Article
- Inter-laboratory comparison of eleven quantitative or digital PCR assays for detection of proviral bovine leukemia virus in blood samples.BMC veterinary research · 2024Article
- Bovine leukemia virus transmission rates in persistent lymphocytotic infected dairy cows.Frontiers in veterinary science · 2024Article
- Study of the Genetic Expression of Antiretroviral Restriction Factors and Acute Phase Proteins in Cattle Infected with Bovine Leukemia Virus.Pathogens (Basel, Switzerland) · 2023Article
- Development of a predictive model for bovine leukemia virus proviral load.Journal of veterinary internal medicine · 2022Article
- Tracing Viral Transmission and Evolution of Bovine Leukemia Virus through Long Read Oxford Nanopore Sequencing of the Proviral Genome.Pathogens (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThere is currently no commercially available method in Canada to identify bovine leukemia virus (BLV)-positive cows with high proviral load (PVL).
objectivesFirst, develop a model to predict PVL using common, commercially available, cost-effective diagnostic tests. Second, investigate the relationship between lymphocyte count and PVL in BLV-positive cows. ANIMALS: A total of 339 BLV-positive and 62 BLV-seronegative cows on 15 dairy farms.
methodsCross-sectional study. Blood and milk samples were collected from all lactating BLV-positive cows on each farm and 5 to 10 BLV-seronegative cows depending on herd size. Blood and milk samples were tested for anti-BLV antibodies using enzyme-linked immunosorbent assay (ELISA). Complete blood counts were performed on blood samples, and standard components analyses were obtained for milk samples. Proviral load was determined by quantitative polymerase chain reaction for each cow.
resultsThe inverse of lymphocyte count, the square of the inverse of lymphocyte count, and milk ELISA percent positivity were positively associated with increasing PVL in BLV-positive cows. For BLV-positive cows, lymphocyte count >5.2 × 10 CONCLUSIONS AND CLINICAL IMPORTANCE: Based on these results, producers can implement commonly available diagnostic tests to identify cows with high probability of having high PVL, which may help in designing effective disease control strategies for BLV-positive herds.
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