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    Seroprevalence and Molecular Analysis of Bovine Leukemia Virus in Kazakhstan

    Viruses-Basel

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    Data
    2025
    Autor
    Mamanova, Saltanat
    Nurpeisova, Ainur
    Bashenova, Elvira
    Kaimoldina, Saira
    Kirpenkicho, Vladimir
    Akshalova, Perizat
    Karabassova, Aiken
    Yussupov, Malik
    Mashzhan, Akzhigit
    Tazhbayeva, Dauriya
    Abay, Zhandos
    Rola-Łuszczak, Marzena
    Kuźmak, Jacek
    Nissanova, Raikhan
    Kassenov, Markhabat
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    Streszczenie
    Bovine leukemia virus (BLV) remains a major concern for cattle industries worldwide due to its persistent nature, economic impact, and challenges in control. In this study, we conducted a comprehensive nationwide survey of BLV in Kazakhstan between 2014 and 2024, utilizing serological diagnostics to assess prevalence and characterize viral genotypes (2024). A total of 433,537 serum samples were screened by agar gel immunodiffusion (AGID), revealing an overall seroprevalence of 5.87%, with the highest rates observed in the North Kazakhstan, Kostanay, and East Kazakhstan regions. In 2024, a targeted analysis of 3736 serum and 536 whole blood samples across 17 regions was performed using AGID, ELISA, real-time PCR, and nested PCR. ELISA demonstrated higher sensitivity than AGID (10.4% vs. 8.2%), confirmed by statistical correlation (r = 0.97, p < 0.001) and a Wilcoxon signed-rank test (p = 0.026). Real-time PCR detected BLV DNA in 4.7% of samples, with the highest positivity in the East Kazakhstan and Abai regions, confirming active viral circulation. Validation of a domestically developed AGID diagnostic kit showed full concordance with commercial assays (IDEXX, IDvet), supporting its use in national surveillance programs. These findings highlight the endemic status of BLV in Kazakhstan. Molecular analysis of sequenced isolates revealed the presence of genotype G-7, consistent with strains circulating in neighboring countries. Together, these results underscore the importance of integrated serological and molecular approaches for effective monitoring and control.
    URI
    https://www.mdpi.com/1999-4915/17/7/956
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