Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis

Flavonoids are the largest class of plant polyphenols, with common structure of diphenylpropanes, consisting of two aromatic rings linked through three carbons and are abundant in both daily diets and medicinal plants. Fueled by the recognition of consuming flavonoids to get better health, researche...

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Main Authors: Tianyi Qiu, Dingfeng Wu, LinLin Yang, Hao Ye, Qiming Wang, Zhiwei Cao, Kailin Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2018.00918/full
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spelling doaj-487eed4c409a4494befeed2c618c46b32020-11-24T23:18:13ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122018-08-01910.3389/fphar.2018.00918361101Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics AnalysisTianyi Qiu0Dingfeng Wu1LinLin Yang2Hao Ye3Hao Ye4Qiming Wang5Zhiwei Cao6Kailin Tang7Institute of Biomedical Sciences, Fudan University, Shanghai, ChinaSchool of Life Sciences and Technology, Tongji University, Shanghai, ChinaHebei Key Laboratory of Metabolic Diseases and Clinical Medicine Research Center, Hebei General Hospital, Hebei, ChinaSinotech Genomics Ltd., Shanghai, ChinaEast China University of Science and Technology, Shanghai, ChinaSchool of Life Sciences and Technology, Tongji University, Shanghai, ChinaSchool of Life Sciences and Technology, Tongji University, Shanghai, ChinaSchool of Life Sciences and Technology, Tongji University, Shanghai, ChinaFlavonoids are the largest class of plant polyphenols, with common structure of diphenylpropanes, consisting of two aromatic rings linked through three carbons and are abundant in both daily diets and medicinal plants. Fueled by the recognition of consuming flavonoids to get better health, researchers became interested in deciphering how flavonoids alter the functions of human body. Here, systematic studies were performed on 679 flavonoid compounds and 481 corresponding targets through bioinformatics analysis. Multiple human diseases related pathways including cancers, neuro-disease, diabetes, and infectious diseases were significantly regulated by flavonoids. Specific functions of each flavonoid subclass were further analyzed in both target and pathway level. Flavones and isoflavones were significantly enriched in multi-cancer related pathways, flavan-3-ols were found focusing on cellular processing and lymphocyte regulation, flavones preferred to act on cardiovascular related activities and isoflavones were closely related with cell multisystem disorders. Relationship between chemical constitution fragment and biological effects indicated that different side chain could significantly affect the biological functions of flavonoids subclasses. Results will highlight the common and preference functions of flavonoids and their subclasses, which concerning their pharmacological and biological properties.https://www.frontiersin.org/article/10.3389/fphar.2018.00918/fullflavonoidsmechanism of actionpathway analysisprotein–protein interaction networkstructure activity relationship
collection DOAJ
language English
format Article
sources DOAJ
author Tianyi Qiu
Dingfeng Wu
LinLin Yang
Hao Ye
Hao Ye
Qiming Wang
Zhiwei Cao
Kailin Tang
spellingShingle Tianyi Qiu
Dingfeng Wu
LinLin Yang
Hao Ye
Hao Ye
Qiming Wang
Zhiwei Cao
Kailin Tang
Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
Frontiers in Pharmacology
flavonoids
mechanism of action
pathway analysis
protein–protein interaction network
structure activity relationship
author_facet Tianyi Qiu
Dingfeng Wu
LinLin Yang
Hao Ye
Hao Ye
Qiming Wang
Zhiwei Cao
Kailin Tang
author_sort Tianyi Qiu
title Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
title_short Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
title_full Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
title_fullStr Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
title_full_unstemmed Exploring the Mechanism of Flavonoids Through Systematic Bioinformatics Analysis
title_sort exploring the mechanism of flavonoids through systematic bioinformatics analysis
publisher Frontiers Media S.A.
series Frontiers in Pharmacology
issn 1663-9812
publishDate 2018-08-01
description Flavonoids are the largest class of plant polyphenols, with common structure of diphenylpropanes, consisting of two aromatic rings linked through three carbons and are abundant in both daily diets and medicinal plants. Fueled by the recognition of consuming flavonoids to get better health, researchers became interested in deciphering how flavonoids alter the functions of human body. Here, systematic studies were performed on 679 flavonoid compounds and 481 corresponding targets through bioinformatics analysis. Multiple human diseases related pathways including cancers, neuro-disease, diabetes, and infectious diseases were significantly regulated by flavonoids. Specific functions of each flavonoid subclass were further analyzed in both target and pathway level. Flavones and isoflavones were significantly enriched in multi-cancer related pathways, flavan-3-ols were found focusing on cellular processing and lymphocyte regulation, flavones preferred to act on cardiovascular related activities and isoflavones were closely related with cell multisystem disorders. Relationship between chemical constitution fragment and biological effects indicated that different side chain could significantly affect the biological functions of flavonoids subclasses. Results will highlight the common and preference functions of flavonoids and their subclasses, which concerning their pharmacological and biological properties.
topic flavonoids
mechanism of action
pathway analysis
protein–protein interaction network
structure activity relationship
url https://www.frontiersin.org/article/10.3389/fphar.2018.00918/full
work_keys_str_mv AT tianyiqiu exploringthemechanismofflavonoidsthroughsystematicbioinformaticsanalysis
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