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Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction

Vitamin D receptors (VDRs) are associated with the occurrence and development of asthma. The aim of the present study was to analyze the secondary structure and B-cell and T-cell epitopes of VDR using online prediction software and aid in the future development of a highly efficient epitope-based va...

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Autores principales: Shan, Lishen, Kang, Xinyuan, Liu, Fen, Cai, Xuxu, Han, Xiaohua, Shang, Yunxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072178/
https://www.ncbi.nlm.nih.gov/pubmed/29901144
http://dx.doi.org/10.3892/mmr.2018.9157
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author Shan, Lishen
Kang, Xinyuan
Liu, Fen
Cai, Xuxu
Han, Xiaohua
Shang, Yunxiao
author_facet Shan, Lishen
Kang, Xinyuan
Liu, Fen
Cai, Xuxu
Han, Xiaohua
Shang, Yunxiao
author_sort Shan, Lishen
collection PubMed
description Vitamin D receptors (VDRs) are associated with the occurrence and development of asthma. The aim of the present study was to analyze the secondary structure and B-cell and T-cell epitopes of VDR using online prediction software and aid in the future development of a highly efficient epitope-based vaccine against asthma. Blood samples were collected from peripheral blood of asthmatic children. Reverse transcription quantitative-polymerase chain reaction (RT-qPCR) was performed to detect the expression of VDR in the peripheral blood. Mouse models of asthma were established. Hematoxylin and eosin staining was performed to observe the pathological alterations of the lungs of mice. Immunohistochemistry, western blot analysis and RT-qPCR were performed to detect the expression of VDR in the lungs of asthmatic mice. Online prediction software immune epitope database and analysis resource, SYFPEITHI and linear epitope prediction based on propensity scale and support vector machines were used to predict the B-cell and T-cell epitopes and the RasMol and 3DLigandSite were used to analyze the tertiary structure of VDR. RT-qPCR demonstrated that VDR expression in the peripheral blood of asthmatic children was decreased. Immunohistochemistry, western blotting and RT-qPCR demonstrated that VDR expression also decreased in the lungs of mouse models of asthma. VDR B-cell epitopes were identified at 37–45, 88–94, 123–131, 231–239, 286–294 and 342–350 positions of the amino acid sequence and VDR T-cell epitopes were identified at 125–130, 231–239 and 265–272 positions. A total of six B-cell epitopes and three T-cell epitopes for VDR were predicted by bioinformatics, which when validated, may in the future aid in immunological diagnosis and development of a targeted drug therapy for clinical asthma.
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spelling pubmed-60721782018-08-06 Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction Shan, Lishen Kang, Xinyuan Liu, Fen Cai, Xuxu Han, Xiaohua Shang, Yunxiao Mol Med Rep Articles Vitamin D receptors (VDRs) are associated with the occurrence and development of asthma. The aim of the present study was to analyze the secondary structure and B-cell and T-cell epitopes of VDR using online prediction software and aid in the future development of a highly efficient epitope-based vaccine against asthma. Blood samples were collected from peripheral blood of asthmatic children. Reverse transcription quantitative-polymerase chain reaction (RT-qPCR) was performed to detect the expression of VDR in the peripheral blood. Mouse models of asthma were established. Hematoxylin and eosin staining was performed to observe the pathological alterations of the lungs of mice. Immunohistochemistry, western blot analysis and RT-qPCR were performed to detect the expression of VDR in the lungs of asthmatic mice. Online prediction software immune epitope database and analysis resource, SYFPEITHI and linear epitope prediction based on propensity scale and support vector machines were used to predict the B-cell and T-cell epitopes and the RasMol and 3DLigandSite were used to analyze the tertiary structure of VDR. RT-qPCR demonstrated that VDR expression in the peripheral blood of asthmatic children was decreased. Immunohistochemistry, western blotting and RT-qPCR demonstrated that VDR expression also decreased in the lungs of mouse models of asthma. VDR B-cell epitopes were identified at 37–45, 88–94, 123–131, 231–239, 286–294 and 342–350 positions of the amino acid sequence and VDR T-cell epitopes were identified at 125–130, 231–239 and 265–272 positions. A total of six B-cell epitopes and three T-cell epitopes for VDR were predicted by bioinformatics, which when validated, may in the future aid in immunological diagnosis and development of a targeted drug therapy for clinical asthma. D.A. Spandidos 2018-08 2018-06-13 /pmc/articles/PMC6072178/ /pubmed/29901144 http://dx.doi.org/10.3892/mmr.2018.9157 Text en Copyright: © Shan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Shan, Lishen
Kang, Xinyuan
Liu, Fen
Cai, Xuxu
Han, Xiaohua
Shang, Yunxiao
Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title_full Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title_fullStr Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title_full_unstemmed Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title_short Expression of vitamin D receptor in bronchial asthma and its bioinformatics prediction
title_sort expression of vitamin d receptor in bronchial asthma and its bioinformatics prediction
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072178/
https://www.ncbi.nlm.nih.gov/pubmed/29901144
http://dx.doi.org/10.3892/mmr.2018.9157
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