کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5545787 | 1555637 | 2017 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluation of immunochromatographic test (ICT) strips for the serological detection of Babesia bovis and Babesia bigemina infection in cattle from Western Java, Indonesia
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
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چکیده انگلیسی
Three types of immunochromatographic test (ICT) strips were prepared for the detection of an antibody response against spherical body protein 4 (SBP-4) of Babesia bovis (bovICT), C-terminal-truncated rhoptry-associated protein 1 (rRAP1/CT17) of B. bigemina (bigICT), and the combination of both proteins (dual-ICT). The evaluation of their performance was conducted using a confirmed positive and negative serum panel for B. bovis and B. bigemina. Together with ELISA, the ICT strips were applied to determine the seroprevalence of bovine babesiosis in Western Java, Indonesia. Among 991 serum samples, 28.4%, 25.3%, and 24.5% of cattle were detected to be seropositive to B. bovis infection using ELISA, bovICT, and dual-ICT, respectively. B. bigemina seropositive was detected in 27.1%, 24.2%, and 22.8% of samples using ELISA, bigICT, and dual-ICT, respectively. The comparison of ICT strips and ELISA results using field serum samples showed good agreement with Kappa values >0.7 between all methods The application of ICT strips is preferable in the field situations where rapid diagnosis is required. Furthermore, the data showed the current seroprevalence of bovine babesiosis in Western Java, Indonesia, and efficient control strategies are needed to reduce economic losses due to the disease.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Veterinary Parasitology - Volume 239, 30 May 2017, Pages 76-79
Journal: Veterinary Parasitology - Volume 239, 30 May 2017, Pages 76-79
نویسندگان
Azirwan Guswanto, Puttik Allamanda, Euis Siti Mariamah, Tserendorf Munkjargal, Bumduuren Tuvshintulga, Hitoshi Takemae, Thillaiampalam Sivakumar, Mahmoud AbouLaila, Mohamad Alaa Terkawi, Madoka Ichikawa-Seki, Yoshifumi Nishikawa, Naoaki Yokoyama,