Literature DB >> 28413078

Evaluation of immunochromatographic test (ICT) strips for the serological detection of Babesia bovis and Babesia bigemina infection in cattle from Western Java, Indonesia.

Azirwan Guswanto1, Puttik Allamanda2, Euis Siti Mariamah2, Tserendorf Munkjargal3, Bumduuren Tuvshintulga4, Hitoshi Takemae4, Thillaiampalam Sivakumar4, Mahmoud AbouLaila5, Mohamad Alaa Terkawi6, Madoka Ichikawa-Seki7, Yoshifumi Nishikawa4, Naoaki Yokoyama4, Ikuo Igarashi8.   

Abstract

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.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine babesiosis; ELISA; Immunochromatographic test strips; Western Java

Mesh:

Year:  2017        PMID: 28413078     DOI: 10.1016/j.vetpar.2017.04.010

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  7 in total

Review 1.  Interplay between Attenuation- and Virulence-Factors of Babesia bovis and Their Contribution to the Establishment of Persistent Infections in Cattle.

Authors:  Gina M Gallego-Lopez; Brian M Cooke; Carlos E Suarez
Journal:  Pathogens       Date:  2019-07-04

Review 2.  Bovine Babesiosis in Turkey: Impact, Current Gaps, and Opportunities for Intervention.

Authors:  Sezayi Ozubek; Reginaldo G Bastos; Heba F Alzan; Abdullah Inci; Munir Aktas; Carlos E Suarez
Journal:  Pathogens       Date:  2020-12-11

3.  Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda.

Authors:  Dickson Stuart Tayebwa; Amany Magdy Beshbishy; Gaber El-Saber Batiha; Mariam Komugisha; Byaruhanga Joseph; Patrick Vudriko; Ramadan Yahia; Luay Alkazmi; Helal F Hetta; Naoaki Yokoyama; Ikuo Igarashi
Journal:  Microorganisms       Date:  2020-07-24

4.  Molecular and serological detection of bovine babesiosis in Indonesia.

Authors:  Azirwan Guswanto; Puttik Allamanda; Euis Siti Mariamah; Sodirun Sodirun; Putut Eko Wibowo; Liliek Indrayani; Rudi Harso Nugroho; I Ketut Wirata; Nur Jannah; Lepsi Putri Dias; Hadi Purnama Wirawan; Rochmadi Yanto; Bumduuren Tuvshintulga; Thillaiampalam Sivakumar; Naoaki Yokoyama; Ikuo Igarashi
Journal:  Parasit Vectors       Date:  2017-11-06       Impact factor: 3.876

Review 5.  Diagnostic Tools for the Identification of Babesia sp. in Persistently Infected Cattle.

Authors:  J Antonio Alvarez; Carmen Rojas; Julio V Figueroa
Journal:  Pathogens       Date:  2019-09-09

6.  Comparative Study of Indirect Fluorescent Antibody, ELISA, and Immunochromatography Tests for Serological Diagnosis of Bovine Babesiosis Caused by Babesia bovis.

Authors:  José Juan Lira-Amaya; Grecia Martínez-García; R Montserrat Santamaria-Espinosa; Roberto O Castañeda-Arriola; Juan J Ojeda-Carrasco; Guillermina Ávila-Ramírez; Julio V Figueroa-Millán
Journal:  Animals (Basel)       Date:  2021-11-24       Impact factor: 2.752

7.  Antigen-capture ELISA and immunochromatographic test strip to detect the H9N2 subtype avian influenza virus rapidly based on monoclonal antibodies.

Authors:  Yixin Xiao; Fan Yang; Fumin Liu; Hangping Yao; Nanping Wu; Haibo Wu
Journal:  Virol J       Date:  2021-10-02       Impact factor: 4.099

  7 in total

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