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Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis

Naringenin, extracted from grapefruits and citrus fruits, is a bioactive flavonoid with antioxidative, anti-inflammatory, antifibrogenic, and anticancer properties. In the past two decades, the growth of publications of naringenin in PubMed suggests that naringenin is quickly gaining interest. Howev...

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Autores principales: Fu, Suhong, Zhang, Yongqun, Shi, Jing, Hao, Doudou, Zhang, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430101/
https://www.ncbi.nlm.nih.gov/pubmed/30918758
http://dx.doi.org/10.7717/peerj.6611
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author Fu, Suhong
Zhang, Yongqun
Shi, Jing
Hao, Doudou
Zhang, Pengfei
author_facet Fu, Suhong
Zhang, Yongqun
Shi, Jing
Hao, Doudou
Zhang, Pengfei
author_sort Fu, Suhong
collection PubMed
description Naringenin, extracted from grapefruits and citrus fruits, is a bioactive flavonoid with antioxidative, anti-inflammatory, antifibrogenic, and anticancer properties. In the past two decades, the growth of publications of naringenin in PubMed suggests that naringenin is quickly gaining interest. However, systematically regarding its biological functions connected to its direct and indirect target proteins remains difficult but necessary. Herein, we employed a set of bioinformatic platforms to integrate and dissect available published data of naringenin. Analysis based on DrugBank and the Search Tool for the Retrieval of Interacting Genes/Proteins revealed seven direct protein targets and 102 indirect protein targets. The protein–protein interaction (PPI) network of total 109 naringenin-mediated proteins was next visualized using Cytoscape. What’s more, all naringenin-mediated proteins were subject to Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis by the Database for Annotation, Visualization and Integrated Discovery, which resulted in three ESR1-related signaling pathways and prostate cancer pathway. Refined analysis of PPI network and KEGG pathway identified four genes (ESR1, PIK3CA, AKT1, and MAPK1). Further genomic analysis of four genes using cBioPortal indicated that naringenin might exert biological effects via ESR1 signaling axis. In general, this work scrutinized naringenin-relevant knowledge and provided an insight into the regulation and mediation of naringenin on prostate cancer.
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spelling pubmed-64301012019-03-27 Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis Fu, Suhong Zhang, Yongqun Shi, Jing Hao, Doudou Zhang, Pengfei PeerJ Bioinformatics Naringenin, extracted from grapefruits and citrus fruits, is a bioactive flavonoid with antioxidative, anti-inflammatory, antifibrogenic, and anticancer properties. In the past two decades, the growth of publications of naringenin in PubMed suggests that naringenin is quickly gaining interest. However, systematically regarding its biological functions connected to its direct and indirect target proteins remains difficult but necessary. Herein, we employed a set of bioinformatic platforms to integrate and dissect available published data of naringenin. Analysis based on DrugBank and the Search Tool for the Retrieval of Interacting Genes/Proteins revealed seven direct protein targets and 102 indirect protein targets. The protein–protein interaction (PPI) network of total 109 naringenin-mediated proteins was next visualized using Cytoscape. What’s more, all naringenin-mediated proteins were subject to Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis by the Database for Annotation, Visualization and Integrated Discovery, which resulted in three ESR1-related signaling pathways and prostate cancer pathway. Refined analysis of PPI network and KEGG pathway identified four genes (ESR1, PIK3CA, AKT1, and MAPK1). Further genomic analysis of four genes using cBioPortal indicated that naringenin might exert biological effects via ESR1 signaling axis. In general, this work scrutinized naringenin-relevant knowledge and provided an insight into the regulation and mediation of naringenin on prostate cancer. PeerJ Inc. 2019-03-19 /pmc/articles/PMC6430101/ /pubmed/30918758 http://dx.doi.org/10.7717/peerj.6611 Text en © 2019 Fu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Fu, Suhong
Zhang, Yongqun
Shi, Jing
Hao, Doudou
Zhang, Pengfei
Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title_full Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title_fullStr Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title_full_unstemmed Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title_short Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
title_sort identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430101/
https://www.ncbi.nlm.nih.gov/pubmed/30918758
http://dx.doi.org/10.7717/peerj.6611
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