Nutrigenomic Functions of PPARs in Obesogenic Environments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Soonkyu | - |
dc.contributor.author | Kim, Young Jun | - |
dc.contributor.author | Yang, Soo Jin | - |
dc.contributor.author | Lee, Yunkyoung | - |
dc.contributor.author | Lee, Myoungsook | - |
dc.date.accessioned | 2021-12-24T02:41:25Z | - |
dc.date.available | 2021-12-24T02:41:25Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1687-4757 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/132719 | - |
dc.description.abstract | Peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors that mediate the effects of several nutrients or drugs through transcriptional regulation of their target genes in obesogenic environments. This review consists of three parts. First, we summarize current knowledge regarding the role of PPARs in governing the development of white and brown/beige adipocytes from uncommitted progenitor cells. Next, we discuss the interactions of dietary bioactive molecules, such as fatty acids and phytochemicals, with PPARs for the modulation of PPAR-dependent transcriptional activities and metabolic consequences. Lastly, the effects of PPAR polymorphism on obesity and metabolic outcomes are discussed. In this review, we aim to highlight the critical role of PPARs in the modulation of adiposity and subsequent metabolic adaptation in response to dietary challenges and genetic modifications. Understanding the changes in obesogenic environments as a consequence of PPARs/nutrient interactions may help expand the field of individualized nutrition to prevent obesity and obesity-associated metabolic comorbidities. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.subject | ACTIVATED-RECEPTOR-GAMMA | - |
dc.subject | CONJUGATED LINOLEIC-ACID | - |
dc.subject | WHITE ADIPOSE-TISSUE | - |
dc.subject | POLYUNSATURATED FATTY-ACIDS | - |
dc.subject | OBESITY-RELATED INFLAMMATION | - |
dc.subject | PRO12ALA POLYMORPHISM | - |
dc.subject | C/EBP-ALPHA | - |
dc.subject | C1431T POLYMORPHISM | - |
dc.subject | GENE-EXPRESSION | - |
dc.subject | ADIPOCYTE DIFFERENTIATION | - |
dc.title | Nutrigenomic Functions of PPARs in Obesogenic Environments | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Young Jun | - |
dc.identifier.doi | 10.1155/2016/4794576 | - |
dc.identifier.scopusid | 2-s2.0-85006135673 | - |
dc.identifier.wosid | 000390016200001 | - |
dc.identifier.bibliographicCitation | PPAR RESEARCH, v.2016 | - |
dc.relation.isPartOf | PPAR RESEARCH | - |
dc.citation.title | PPAR RESEARCH | - |
dc.citation.volume | 2016 | - |
dc.type.rims | ART | - |
dc.type.docType | Review | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Research & Experimental Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, Research & Experimental | - |
dc.subject.keywordPlus | ACTIVATED-RECEPTOR-GAMMA | - |
dc.subject.keywordPlus | CONJUGATED LINOLEIC-ACID | - |
dc.subject.keywordPlus | WHITE ADIPOSE-TISSUE | - |
dc.subject.keywordPlus | POLYUNSATURATED FATTY-ACIDS | - |
dc.subject.keywordPlus | OBESITY-RELATED INFLAMMATION | - |
dc.subject.keywordPlus | PRO12ALA POLYMORPHISM | - |
dc.subject.keywordPlus | C/EBP-ALPHA | - |
dc.subject.keywordPlus | C1431T POLYMORPHISM | - |
dc.subject.keywordPlus | GENE-EXPRESSION | - |
dc.subject.keywordPlus | ADIPOCYTE DIFFERENTIATION | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.