Application, of bioactivity database of Chinese herbal medicine on the therapeutic prediction, drug development, and safety evaluation

被引:42
作者
Cheng, Hui-Man [2 ]
Li, Chia-Cheng [1 ]
Chen, Calvin Yu-Chian [1 ]
Lo, Hsin-Yi [1 ]
Cheng, Wen-Yu [1 ]
Lee, Chang-Hsien [1 ]
Yang, Shi-Zhe [1 ,3 ]
Wu, Shih-Lu [4 ]
Hsiang, Chien-Yun [1 ,5 ]
Ho, Tin-Yun [1 ,6 ]
机构
[1] China Med Univ, Sch Chinese Med, Taichung 40402, Taiwan
[2] China Med Univ, Grad Inst Integrat Tradit Chinese & Western Med, Taichung 40402, Taiwan
[3] China Med Univ Hosp, Dept Radiol, Taichung 40447, Taiwan
[4] China Med Univ, Dept Biochem, Taichung 40402, Taiwan
[5] China Med Univ, Dept Microbiol, Taichung 40402, Taiwan
[6] China Med Univ Hosp, Dept Nucl Med, Taichung 40447, Taiwan
关键词
Chinese herbs; Formulae; DNA microarray; Transcriptomic; FACTOR-KAPPA-B; GROWTH-FACTOR-I; EXPRESSION PROFILES; CONNECTIVITY MAP; KAKKON-TO; PC-SPES; IDENTIFICATION; STIMULATION; SIGNATURES; INHIBITOR;
D O I
10.1016/j.jep.2010.08.022
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Aim of the study: Chinese herbal medicine has been used for the treatments of various diseases for years. However, it is often difficult to analyze their biological activities and molecule mechanisms because of their complex nature. In this study, we applied DNA microarray to analyze the biological events induced by herbal formulae, predict the therapeutic potentials of formulae, and evaluate the safety of formulae. Materials and methods: Mice were administrated orally with 15 formulae for 7 consecutive days, and the gene expression profiles in liver or kidney were further analyzed by transcriptomic tools. Results: Our data showed that most formulae altered the metabolic pathways, such as glutathione metabolism and oxidative phosphorylation, and regulatory pathways, such as antigen processing and presentation and insulin-like growth factor signaling pathway. By comparing the gene expression signatures of formulae with those of disease states or drugs, we found that mice responsive to formula treatments might be related to disease states, especially metabolic and cardiovascular diseases, and drugs, which exhibit anti-cancer, anti-inflammatory, and anti-oxidative effects. Moreover, most formulae altered the expression levels of cytochrome p450, glutathione S-transferase, and UDP glycosyltransferase genes, suggesting that caution should be paid to possible drug interaction of these formulae. Furthermore, the similarities of gene expression profiles between formulae and toxic chemicals were low in kidney, suggesting that these formulae might not induce nephrotoxicities in mice. Conclusions: This report applied transcriptomic tools as a novel platform of translational medicine for Chinese herbal medicine. This platform will not only for understanding the therapeutic mechanisms involving herbal formulae and gene interactions, but also for the new theories in drug discovery. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:429 / 437
页数:9
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