Journal of Veterinary Epidemiology
Online ISSN : 1881-2562
Print ISSN : 1343-2583
ISSN-L : 1343-2583
Enzootic Bovine Leukosis; Disease Overview and Current Control Measure
Current Status of Enzootic Bovine Leukosis and Early Prediction of Lymphoma
Satoru KONNAI
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2024 Volume 28 Issue 2 Pages 95-100

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Abstract

Bovine leukemia virus (BLV), a retrovirus, infects B cells of ruminants and is integrated into the host genome as a provirus for lifelong infection. After a long latent period, 1% to 5% of BLV-infected cattle develop aggressive lymphoma, enzootic bovine leukosis (EBL). Since the clonal expansion of BLV-infected cells is essential for the development of EBL, the clonality of proviral integration sites could be a molecular marker for diagnosis and early prediction of EBL. Recently, we developed Rapid Amplification of the Integration Site without Interference by Genomic DNA Contamination (RAISING) and an analysis software of clonality value (CLOVA) to analyze the clonality of transgene-integrated cells. RAISING-CLOVA is capable of assessing the risk of adult T-cell leukemia/lymphoma development in human T-cell leukemia virus-I-infected individuals through the clonality analysis of proviral integration sites. Thus, we herein examined the performance of RAISING-CLOVA for the clonality analysis of BLV-infected cells and conducted a comprehensive clonality analysis by RAISING-CLOVA in EBL and non-EBL cattle. RAISING-CLOVA targeting BLV was a highly accurate and reproducible method for measuring the clonality value. The comprehensive clonality analysis successfully distinguished EBL from non-EBL specimens with high sensitivity and specificity. A longitudinal clonality analysis in BLV-infected sheep, an experimental model of lymphoma, also confirmed the effectiveness of RAISING-CLOVA for early detection of EBL development. Therefore, RAISING-CLOVA is a reliable technology for monitoring the clonality of BLV-infected cells and would contribute to reduce the economic losses by EBL development.

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© 2024 The Japan Society of Veterinary Epidemiology
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