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Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda
In Uganda, bovine babesiosis continues to cause losses to the livestock industry because of shortages of cheap, quick, and reliable diagnostic tools to guide prescription measures. In this study, the presence of antibodies to Babesia bigemina and Babesia bovis in 401 bovine blood samples obtained fr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464521/ https://www.ncbi.nlm.nih.gov/pubmed/32722070 http://dx.doi.org/10.3390/microorganisms8081110 |
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author | Stuart Tayebwa, Dickson Magdy Beshbishy, Amany Batiha, Gaber El-Saber Komugisha, Mariam Joseph, Byaruhanga Vudriko, Patrick Yahia, Ramadan Alkazmi, Luay Hetta, Helal F. Yokoyama, Naoaki Igarashi, Ikuo |
author_facet | Stuart Tayebwa, Dickson Magdy Beshbishy, Amany Batiha, Gaber El-Saber Komugisha, Mariam Joseph, Byaruhanga Vudriko, Patrick Yahia, Ramadan Alkazmi, Luay Hetta, Helal F. Yokoyama, Naoaki Igarashi, Ikuo |
author_sort | Stuart Tayebwa, Dickson |
collection | PubMed |
description | In Uganda, bovine babesiosis continues to cause losses to the livestock industry because of shortages of cheap, quick, and reliable diagnostic tools to guide prescription measures. In this study, the presence of antibodies to Babesia bigemina and Babesia bovis in 401 bovine blood samples obtained from eastern and central areas of Uganda were detected using enzyme-linked immunosorbent assays (ELISAs) and immunochromatographic test strips (ICTs). The ELISA and ICT test used targeted the B. bigemina C-terminal rhoptry-associated protein (RAP-1/CT17) and B. bovis spherical body protein-4 (SPB-4). Using ELISA, single-ICT and dual-ICT, positive samples for B. bovis were detected in 25 (6.2%), 17 (4.3%), and 14 (3.7%) samples respectively, and positive samples for B. bigemina were detected in 34 (8.4%), 27 (6.7%), and 25 (6.2%), respectively. Additionally, a total of 13 animals (3.2%) had a mixed infection. The correlation between ELISA and single-ICT strips results revealed slight agreement with kappa values ranging from 0.088 to 0.191 between both methods, while the comparison between dual-ICT and single-ICT results showed very good agreement with kappa values >0.80. This study documented the seroprevalence of bovine babesiosis in central and eastern Uganda, and showed that ICT could, after further optimization, be a useful rapid diagnostic test for the diagnosis of bovine babesiosis in field settings. |
format | Online Article Text |
id | pubmed-7464521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74645212020-09-04 Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda Stuart Tayebwa, Dickson Magdy Beshbishy, Amany Batiha, Gaber El-Saber Komugisha, Mariam Joseph, Byaruhanga Vudriko, Patrick Yahia, Ramadan Alkazmi, Luay Hetta, Helal F. Yokoyama, Naoaki Igarashi, Ikuo Microorganisms Communication In Uganda, bovine babesiosis continues to cause losses to the livestock industry because of shortages of cheap, quick, and reliable diagnostic tools to guide prescription measures. In this study, the presence of antibodies to Babesia bigemina and Babesia bovis in 401 bovine blood samples obtained from eastern and central areas of Uganda were detected using enzyme-linked immunosorbent assays (ELISAs) and immunochromatographic test strips (ICTs). The ELISA and ICT test used targeted the B. bigemina C-terminal rhoptry-associated protein (RAP-1/CT17) and B. bovis spherical body protein-4 (SPB-4). Using ELISA, single-ICT and dual-ICT, positive samples for B. bovis were detected in 25 (6.2%), 17 (4.3%), and 14 (3.7%) samples respectively, and positive samples for B. bigemina were detected in 34 (8.4%), 27 (6.7%), and 25 (6.2%), respectively. Additionally, a total of 13 animals (3.2%) had a mixed infection. The correlation between ELISA and single-ICT strips results revealed slight agreement with kappa values ranging from 0.088 to 0.191 between both methods, while the comparison between dual-ICT and single-ICT results showed very good agreement with kappa values >0.80. This study documented the seroprevalence of bovine babesiosis in central and eastern Uganda, and showed that ICT could, after further optimization, be a useful rapid diagnostic test for the diagnosis of bovine babesiosis in field settings. MDPI 2020-07-24 /pmc/articles/PMC7464521/ /pubmed/32722070 http://dx.doi.org/10.3390/microorganisms8081110 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Stuart Tayebwa, Dickson Magdy Beshbishy, Amany Batiha, Gaber El-Saber Komugisha, Mariam Joseph, Byaruhanga Vudriko, Patrick Yahia, Ramadan Alkazmi, Luay Hetta, Helal F. Yokoyama, Naoaki Igarashi, Ikuo Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title | Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title_full | Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title_fullStr | Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title_full_unstemmed | Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title_short | Assessing the Immunochromatographic Test Strip for Serological Detection of Bovine Babesiosis in Uganda |
title_sort | assessing the immunochromatographic test strip for serological detection of bovine babesiosis in uganda |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464521/ https://www.ncbi.nlm.nih.gov/pubmed/32722070 http://dx.doi.org/10.3390/microorganisms8081110 |
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