A translational bioinformatic approach in identifying and validating an interaction between XXXX and @entity4819 .

@entity1 @entity904 @entity1968 @entity4819
INTRODUCTION: One 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. METHODS: Initial bioinformatics analysis revealed a number of regulators of CYP450 enzymes from a @entity1 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. RESULTS: From a total of 868 interactions we were able to identify an interesting interaction between @entity1968 (i.e. @entity904 ) and the aromatase gene (i.e. @entity4819 ). Our experimental results showed that @entity1968 at physiological concentration significantly influenced @entity4819 gene expressions. CONCLUSIONS: These results suggest that the presence of @entity1968 may alter the efficacy of agents used to suppress aromatase expression.
