@article{d065605ed6f44872aeee8c9b6012d48f,
title = "Metabolic Profiling-based Data-mining for an Effective Chemical Combination to Induce Apoptosis of Cancer Cells",
abstract = "Green tea extract (GTE) induces apoptosis of cancer cells without adversely affecting normal cells. Several clinical trials reported that GTE was well tolerated and had potential anti-cancer efficacy. Epigallocatechin-3-O-gallate (EGCG) is the primary compound responsible for the anti-cancer effect of GTE; however, the effect of EGCG alone is limited. To identify GTE compounds capable of potentiating EGCG bioactivity, we performed metabolic profiling of 43 green tea cultivar panels by liquid chromatography-mass spectrometry (LC-MS). Here, we revealed the polyphenol eriodictyol significantly potentiated apoptosis induction by EGCG in vitro and in a mouse tumour model by amplifying EGCG-induced activation of the 67-kDa laminin receptor (67LR)/protein kinase B/endothelial nitric oxide synthase/protein kinase C delta/acid sphingomyelinase signalling pathway. Our results show that metabolic profiling is an effective chemical-mining approach for identifying botanical drugs with therapeutic potential against multiple myeloma. Metabolic profiling-based data mining could be an efficient strategy for screening additional bioactive compounds and identifying effective chemical combinations.",
author = "Motofumi Kumazoe and Yoshinori Fujimura and Shiori Hidaka and Yoonhee Kim and Kanako Murayama and Mika Takai and Yuhui Huang and Shuya Yamashita and Motoki Murata and Daisuke Miura and Hiroyuki Wariishi and Mari Maeda-Yamamoto and Hirofumi Tachibana",
note = "Funding Information: This research was supported in part by Grants-in-Aid for Scientific Research (KAKENHI) from the Japan Society for the Promotion of Science (grant number: 22228002) and {\textquoteleft}Development of fundamental technology for analysis and evaluation of functional agricultural products and functional foods{\textquoteright} to H.T. This work was also supported in part by Grant-in-Aid for JSPS Fellows to M.K. (PD). This work was also supported in part by the Project for Developing Innovation Systems Creation of innovation centers for advanced interdisciplinary research areas Program, and Adaptable and Seamless Technology Transfer Program through Target-driven R&D, JST (Grant No. AS242Z00680K) to Y.F. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We appreciate the technical support from the Research Support Center, Graduate School of Medical Sciences, Kyushu University. Publisher Copyright: {\textcopyright} 2015, Nature Publishing Group. All rights reserved.",
year = "2015",
month = mar,
doi = "10.1038/srep09474",
language = "English",
volume = "5",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
}
