The relationship between percentage of B cells in peripheral blood and subclinical bovine leukemia virus infection was examined in a herd of 240 Holstein-Friesian cows. Absolute leukocyte count and absolute lymphocyte count were significantly positively correlated with B cell percentage in cows that were seropositive to bovine leukemia virus envelope glycoprotein, but these parameters were not correlated in seronegative cows. The B cell percentage was not affected by age. Cows that had persistent lymphocytosis and hematologically normal seropositive cows had greater mean B cell percentages (78 and 45%, respectively) than did seronegative herdmates (37%). To evaluate B cell percentage as a means of detecting subclinical progression of bovine leukemia virus infection, an index was developed based upon the distribution of B cell percentages in seronegative cows. When this index was compared with a standard hematological key (the European Community's Leukosis Key), which is based on absolute lymphocyte count and age, 29% of seropositive, hematologically normal cows had B cell percentages two standard deviations above the mean of their seronegative herdmates. The B cell percentage was thus shown to be more effective than absolute lymphocyte count for detecting subclinical progression of bovine leukemia virus infection in individual cows.

Download full-text PDF

Source
http://dx.doi.org/10.3168/jds.S0022-0302(88)79841-0DOI Listing

Publication Analysis

Top Keywords

bovine leukemia
20
leukemia virus
20
virus infection
16
cell percentage
16
subclinical progression
12
progression bovine
12
absolute lymphocyte
12
lymphocyte count
12
cell percentages
12
cows
8

Similar Publications

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 PDF

Background: 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.

View Article and Find Full Text PDF

Using supervised machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study.

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 PDF

Biosecurity Practices for Mycobacterium aviun subspecies paratuberculosis Infection, Salmonellosis, and Bovine Leukemia Virus on Cattle Operations.

Vet 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 PDF
Article Synopsis
  • The study explores the potential link between Bovine leukemia virus (BLV) infection and breast cancer, responding to ongoing debate and inconsistent previous findings.
  • Researchers conducted a systematic review and meta-analysis, analyzing 17 studies, with 12 included in the final analysis to assess this association and calculate odds ratios.
  • The results indicate a significant statistical association between BLV infection and an increased risk of breast cancer, with a pooled odds ratio suggesting a more than threefold increase in risk when certain studies were excluded for heterogeneity.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!