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Detection of antibodies against avian influenza virus by protein microarray using nucleoprotein expressed in insect cells
Avian influenza (AI) is an infectious disease caused by avian influenza viruses (AIVs) which belong to the influenza virus A group. AI causes tremendous economic losses in poultry industry and pose great threatens to human health. Active serologic surveillance is necessary to prevent and control the...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japanese Society of Veterinary Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427741/ https://www.ncbi.nlm.nih.gov/pubmed/25650059 http://dx.doi.org/10.1292/jvms.14-0207 |
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author | ZHAO, Yuhui WANG, Xiurong CHEN, Pucheng ZENG, Xianying BAO, Hongmei WANG, Yunhe XU, Xiaolong JIANG, Yongping CHEN, Hualan LI, Guangxing |
author_facet | ZHAO, Yuhui WANG, Xiurong CHEN, Pucheng ZENG, Xianying BAO, Hongmei WANG, Yunhe XU, Xiaolong JIANG, Yongping CHEN, Hualan LI, Guangxing |
author_sort | ZHAO, Yuhui |
collection | PubMed |
description | Avian influenza (AI) is an infectious disease caused by avian influenza viruses (AIVs) which belong to the influenza virus A group. AI causes tremendous economic losses in poultry industry and pose great threatens to human health. Active serologic surveillance is necessary to prevent and control the spread of AI. In this study, a protein microarray using nucleoprotein (NP) of H5N1 AIV expressed in insect cells was developed to detect antibodies against AIV NP protein. The protein microarray was used to test Newcastle disease virus (NDV), infectious bursal disease virus (IBDV), AIV positive and negative sera. The results indicated that the protein microarray could hybridize specifically with antibodies against AIV with strong signals and without cross-hybridization. Moreover, 76 field serum samples were detected by microarray, enzyme-linked immunosorbent assay (ELISA) and hemagglutination inhibition test (HI). The positive rate was 92.1% (70/76), 93.4% (71/76) and 89.4% (68/76) by protein microarray, ELISA and HI test, respectively. Compared with ELISA, the microarray showed 100% (20/20) agreement ratio in chicken and 98.2% (55/56) in ornamental bird. In conclusion, this method provides an alternative serological diagnosis for influenza antibody screening and will provide a basis for the development of protein microarrays that can be used to respectively detect antibodies of different AIV subtypes and other pathogens. |
format | Online Article Text |
id | pubmed-4427741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Japanese Society of Veterinary Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44277412015-05-21 Detection of antibodies against avian influenza virus by protein microarray using nucleoprotein expressed in insect cells ZHAO, Yuhui WANG, Xiurong CHEN, Pucheng ZENG, Xianying BAO, Hongmei WANG, Yunhe XU, Xiaolong JIANG, Yongping CHEN, Hualan LI, Guangxing J Vet Med Sci Immunology Avian influenza (AI) is an infectious disease caused by avian influenza viruses (AIVs) which belong to the influenza virus A group. AI causes tremendous economic losses in poultry industry and pose great threatens to human health. Active serologic surveillance is necessary to prevent and control the spread of AI. In this study, a protein microarray using nucleoprotein (NP) of H5N1 AIV expressed in insect cells was developed to detect antibodies against AIV NP protein. The protein microarray was used to test Newcastle disease virus (NDV), infectious bursal disease virus (IBDV), AIV positive and negative sera. The results indicated that the protein microarray could hybridize specifically with antibodies against AIV with strong signals and without cross-hybridization. Moreover, 76 field serum samples were detected by microarray, enzyme-linked immunosorbent assay (ELISA) and hemagglutination inhibition test (HI). The positive rate was 92.1% (70/76), 93.4% (71/76) and 89.4% (68/76) by protein microarray, ELISA and HI test, respectively. Compared with ELISA, the microarray showed 100% (20/20) agreement ratio in chicken and 98.2% (55/56) in ornamental bird. In conclusion, this method provides an alternative serological diagnosis for influenza antibody screening and will provide a basis for the development of protein microarrays that can be used to respectively detect antibodies of different AIV subtypes and other pathogens. The Japanese Society of Veterinary Science 2014-12-19 2015-04 /pmc/articles/PMC4427741/ /pubmed/25650059 http://dx.doi.org/10.1292/jvms.14-0207 Text en ©2015 The Japanese Society of Veterinary Science http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. |
spellingShingle | Immunology ZHAO, Yuhui WANG, Xiurong CHEN, Pucheng ZENG, Xianying BAO, Hongmei WANG, Yunhe XU, Xiaolong JIANG, Yongping CHEN, Hualan LI, Guangxing Detection of antibodies against avian influenza virus by protein microarray using nucleoprotein expressed in insect cells |
title | Detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
title_full | Detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
title_fullStr | Detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
title_full_unstemmed | Detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
title_short | Detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
title_sort | detection of antibodies against avian influenza virus by protein microarray
using nucleoprotein expressed in insect cells |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427741/ https://www.ncbi.nlm.nih.gov/pubmed/25650059 http://dx.doi.org/10.1292/jvms.14-0207 |
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