DocumentCode
1785186
Title
Exploring the potential therapeutic mechanism of Xiao-Yao-San for major depression
Author
Guang Zheng ; Rong Li ; Huanhuan Shi ; Qi Xiao ; Wenpeng Xu ; Ying Wang ; Cheng Lu ; Aiping Lu
Author_Institution
Sch. of Inf. Sci.-Eng., Lanzhou Univ., Lanzhou, China
fYear
2014
fDate
2-5 Nov. 2014
Firstpage
229
Lastpage
234
Abstract
Major depression (MD) is a major public health problem which has a substantial impact on individuals and society. Although it is usually treated with antidepressant in primary care, these therapies accompanied with serious side effects. In the clinic of Chinese medicine, Xiao-Yao-San is the first option for MD with little side effects. Although with clear therapeutic effects, its therapeutic mechanism is obscure. In this study, by integrating leading biomedical knowledge databases, though bioinformatics analysis, we explored the potential therapeutic mechanism of Xiao-Yao-San for MD. The therapeutic mechanism analysis covers aspects of Chinese herbal medicine, chemical compound, target protein, OMIM genes, and pathways enriched. As a result, Xiao-Yao-San´s 4 target proteins e.g., ADRB2R, B2AR, ADRB2, and MC4R can be matched in MD´s OMIM genes which are mainly enriched in pathways of signal transduction. This research demonstrates that Xiao-Yao-San´s target proteins may regulate a wide range of different pathways associated with MD.
Keywords
bioinformatics; genetics; medical disorders; molecular biophysics; patient treatment; proteins; Chinese herbal medicine; OMIM genes; Xiao-Yao-San target proteins; Xiao-Yao-San therapeutic mechanism analysis; antidepressant; bioinformatics analysis; biomedical knowledge databases; chemical compound; major depression; signal transduction pathways; Chemical compounds; Compounds; Databases; Diseases; Protein engineering; Proteins; Xiao-Yao-San; major depression; molecular mechanism; traditional Chinese medicine;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location
Belfast
Type
conf
DOI
10.1109/BIBM.2014.6999365
Filename
6999365
Link To Document