4.5 Article

Seroprevalence of Babesia infections of dairy cows in northern Thailand

Journal

VETERINARY PARASITOLOGY
Volume 170, Issue 3-4, Pages 193-196

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.vetpar.2010.02.038

Keywords

Babesia bovis; Babesia bigemina; Indirect fluorescent-antibody test (IFAT); Dairy cows; Enzyme-linked immunosorbent assay (ELISA); Western blot; Thailand

Funding

  1. Japan Society for the Promotion of Science (JSPS)
  2. Program for the Promotion of Basic Research Activities for Innovative Biosciences (PRO-BRAIN), Japan
  3. Veterinary Medicine, Kasetsart University Research Development Institute (KURDI)
  4. Japan International Cooperation Agency (JICA)
  5. Ministry of Education, Culture, Sports, Science, and Technology (MEXT), Japan
  6. Grants-in-Aid for Scientific Research [22380154] Funding Source: KAKEN

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The present study was conducted to demonstrate the epidemiological distribution of bovine babesiosis in the northern regions of Thailand. A total of 700 serum samples of dairy cows in the northern provinces (Chiang Rai, Chiang Mai, Lumpang, and Mae Hong Sorn) were tested for antibodies against Babesia bovis and B. bigemina. Species-specific enzyme-linked (rRAP-1/CTs) were performed. According to the results, 517 (73.8%) and 484(69.1%) were positive for B. bovis and B. bigemina, respectively. In addition, 370 (52.9%) were positive for mixed infections by both ELISAs. On the other hand, all samples were also examined by the indirect fluorescent-antibody test (IFAT) with B. bovis- and B. bigemina-infected blood smears. According to the IFAT, 482 (68.8%) and 531 (75.8%) were positive for these infections, respectively. The overall concordances between the ELISA and IFAT techniques were 93.6% and 90.7% for B. bovis and B. bigemina infections, respectively. These results indicated that babesia infections are widespread in the northern parts of Thailand. To our knowledge, this is the first report describing the epidemiology of Babesia infections using rRAP-1/CT-based ELISAs in these areas. (C) 2010 Elsevier B.V. All rights reserved.

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