Related Experiment Video
Updated: Oct 21, 2026
Isolation of Brain-infiltrating Leukocytes
Published on: June 13, 2011
Development of a preliminary diagnostic measure for bovine leukosis in dairy cows using peripheral white blood cell
Masao Nishiike1, Michiyo Haoka, Takashi Doi
1Department of Veterinary Sciences, Graduate School of Life and Environmental Sciences, Osaka Prefecture University, 1-58 Rinku Orai-Kita, Izumisano, Osaka 599-8531, Japan.
Insights
This study found that white blood cell (WBC) and lymphocyte counts can predict bovine leukemia virus (BLV) infection risk in dairy cows. Hematological analysis offers a potential screening tool for monitoring BLV.
Area of Science:
- Veterinary Immunology
- Animal Virology
- Dairy Science
Background:
- Bovine leukemia virus (BLV) causes significant economic losses in dairy herds worldwide.
- Accurate and early detection of BLV infection is crucial for herd management and disease control.
- Existing diagnostic methods may have limitations in predicting infection progression or risk.
Purpose of the Study:
- To investigate the association between BLV antibodies, proviral load, and hematological parameters (WBC and lymphocyte counts) in dairy cows.
- To develop a predictive model for BLV infection risk using accessible biomarkers.
- To assess the utility of hematological data as a screening tool for bovine leukosis.
Main Methods:
- Analysis of BLV antibodies, proviral DNA load, WBC, and lymphocyte counts in 774 dairy cows.
- Principal component analysis (PCA) to visualize data distribution based on age, WBC, and lymphocyte counts.
- Categorization of cows into four quadrants using PCA scores and BLV status.
- Development of a mathematical formulation using discriminant analysis for hematological diagnosis.
Main Results:
- BLV antibody-positive cows tended to have higher average age, WBC, and lymphocyte counts compared to antibody-negative cows.
- A significant correlation was observed between BLV antibody status, proviral load, and hematological parameters.
- PCA effectively categorized cows, with antibody-positive and high proviral load cows clustering in specific quadrants.
- Hematological parameters like WBC counts showed potential as biomarkers for predicting BLV infection risk, even without antibody data.
Conclusions:
- Hematological parameters, specifically WBC and lymphocyte counts, can serve as valuable biomarkers for predicting BLV infection risk in dairy cattle.
- The developed mathematical formulation based on discriminant analysis provides a promising screening tool for preliminary hematological diagnosis of bovine leukosis.
- This approach can aid in monitoring herd health and managing BLV infections more effectively.
Abstract:
Analysis of the association between antibodies against bovine leukemia virus (BLV), BLV proviral load, and white blood cell (WBC) and lymphocyte counts was performed with 774 dairy cows. The average age, WBC counts and lymphoid cell counts tended to be higher in BLV antibody-positive cows than in antibody-negative cows. There was a similar trend in levels of proviral DNA. We analyzed age, WBC counts and lymphocyte counts by principal component analyses to create a distribution chart of the principle component scores. Using the chart, we categorized cows into four quadrants based on additional information, such as the presence of antibody and the levels of proviral DNA. Antibody-positive cows and cows with high BLV proviral load were found mostly in one quadrant of the chart, indicating that it is possible to predict the risk of infection without any knowledge on antibody status by using information, such as WBC counts as a biomarker. When only antibody-positive cows were included in the analysis, a characteristic distribution of different levels of proviral DNA was seen in the quadrants, suggesting that it is possible to estimate the extent of bovine leukosis infection by using this analysis. For this analysis and categorization of the cows into quadrants, we computed a mathematical formulation using discriminant analysis based on age and WBC and lymphocyte counts. This mathematical formulation for the hematological preliminary diagnosis of the disease is recommended as a screening tool to monitor bovine leukosis.
