A translational bioinformatic approach in identifying and validating an interaction between Vitamin A and CYP19A1

BMC Genomics

Research

Jing Zhou¹  Santosh Philips² 

[1] Harbin Medical University Cancer Hospital, 150040, Harbin, Heilongjiang, China;School of Informatics and Computing, Indiana University-Purdue University Indianapolis, 46202, USA;

关键词: Retinoic Acid;    Aromatase Inhibitor;    Aromatase Expression;    Aromatase Gene;    Aromatase Enzyme;   

DOI  :  10.1186/1471-2164-16-S7-S17

来源: Springer

【 摘 要 】

IntroductionOne major challenge in personalized medicine research is to identify the environmental factors that can alter drug response, and to investigate their molecular mechanisms. These environmental factors include co-medications, food, and nutrition or dietary supplements. The increasing use of dietary supplements and their potential interactions with cytochrome P450 (CYP450) enzymes is a highly significant personalized medicine research domain, because most of the drugs on the market are metabolized through CYP450 enzymes.MethodsInitial bioinformatics analysis revealed a number of regulators of CYP450 enzymes from a human liver bank gene expression quantitative loci data set. Then, a compound-gene network was constructed from the curated literature data. This network consisted of compounds that interact with either CYPs and/or their regulators that influence either their gene expression or activity. We further evaluated this finding in three different cell lines: JEG3, HeLa, and LNCaP cells.ResultsFrom a total of 868 interactions we were able to identify an interesting interaction between retinoic acid (i.e. Vitamin A) and the aromatase gene (i.e. CYP19A1). Our experimental results showed that retinoic acid at physiological concentration significantly influenced CYP19A1 gene expressions.ConclusionsThese results suggest that the presence of retinoic acid may alter the efficacy of agents used to suppress aromatase expression.

【 授权许可】

Unknown   
© Philips et al.; licensee BioMed Central Ltd. 2015. This article is published under license to BioMed Central Ltd. 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, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.