Cargando…

Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach

Vasodilatation is one of the key therapeutic strategies for the treatment of various cardiovascular diseases with high blood pressure. Therefore, development of drugs assisting blood vessel dilation is promising. It has been proven that many drugs display definite vasorelaxant effects. However, ther...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Peng, Chen, Chang, Zhang, Wuxia, Yu, Dingrong, Liu, Shaoyan, Zhao, Jinzhong, Liu, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783510/
https://www.ncbi.nlm.nih.gov/pubmed/31632278
http://dx.doi.org/10.3389/fphar.2019.01144
_version_ 1783457569808842752
author Li, Peng
Chen, Chang
Zhang, Wuxia
Yu, Dingrong
Liu, Shaoyan
Zhao, Jinzhong
Liu, An
author_facet Li, Peng
Chen, Chang
Zhang, Wuxia
Yu, Dingrong
Liu, Shaoyan
Zhao, Jinzhong
Liu, An
author_sort Li, Peng
collection PubMed
description Vasodilatation is one of the key therapeutic strategies for the treatment of various cardiovascular diseases with high blood pressure. Therefore, development of drugs assisting blood vessel dilation is promising. It has been proven that many drugs display definite vasorelaxant effects. However, there are very few studies that systemically explore the effective vasodilators. In this work, we build a transcriptome-based functional gene module reference approach for systematic pursuit of agents with vasorelaxant effects. We firstly curate two functional gene modules that are specifically involved in positive and negative regulation of vascular diameter based on the known gene functional interaction knowledge. Secondly, a collection of gene expression profiles following herbal component treatment are collected from a public gene expression database. Then, the correlation of the gene modules is evaluated in each herbal component–induced gene expression profile by gene set enrichment analysis. The vasorelaxant effects of the candidate compounds can be predicted and ordered by the values of a defined index. Finally, the top 10 candidate compounds are experimentally tested for their vasorelaxant effects on vessel contraction induced by Phe in aortic rings. This strategy integrating different types of technologies is expected to help to create new opportunities for the development of novel vasodilators.
format Online
Article
Text
id pubmed-6783510
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-67835102019-10-18 Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach Li, Peng Chen, Chang Zhang, Wuxia Yu, Dingrong Liu, Shaoyan Zhao, Jinzhong Liu, An Front Pharmacol Pharmacology Vasodilatation is one of the key therapeutic strategies for the treatment of various cardiovascular diseases with high blood pressure. Therefore, development of drugs assisting blood vessel dilation is promising. It has been proven that many drugs display definite vasorelaxant effects. However, there are very few studies that systemically explore the effective vasodilators. In this work, we build a transcriptome-based functional gene module reference approach for systematic pursuit of agents with vasorelaxant effects. We firstly curate two functional gene modules that are specifically involved in positive and negative regulation of vascular diameter based on the known gene functional interaction knowledge. Secondly, a collection of gene expression profiles following herbal component treatment are collected from a public gene expression database. Then, the correlation of the gene modules is evaluated in each herbal component–induced gene expression profile by gene set enrichment analysis. The vasorelaxant effects of the candidate compounds can be predicted and ordered by the values of a defined index. Finally, the top 10 candidate compounds are experimentally tested for their vasorelaxant effects on vessel contraction induced by Phe in aortic rings. This strategy integrating different types of technologies is expected to help to create new opportunities for the development of novel vasodilators. Frontiers Media S.A. 2019-10-02 /pmc/articles/PMC6783510/ /pubmed/31632278 http://dx.doi.org/10.3389/fphar.2019.01144 Text en Copyright © 2019 Li, Chen, Zhang, Yu, Liu, Zhao and Liu http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Li, Peng
Chen, Chang
Zhang, Wuxia
Yu, Dingrong
Liu, Shaoyan
Zhao, Jinzhong
Liu, An
Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title_full Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title_fullStr Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title_full_unstemmed Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title_short Detection of Vasodilators From Herbal Components by a Transcriptome-Based Functional Gene Module Reference Approach
title_sort detection of vasodilators from herbal components by a transcriptome-based functional gene module reference approach
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783510/
https://www.ncbi.nlm.nih.gov/pubmed/31632278
http://dx.doi.org/10.3389/fphar.2019.01144
work_keys_str_mv AT lipeng detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT chenchang detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT zhangwuxia detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT yudingrong detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT liushaoyan detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT zhaojinzhong detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach
AT liuan detectionofvasodilatorsfromherbalcomponentsbyatranscriptomebasedfunctionalgenemodulereferenceapproach