Exploring the potential therapeutic mechanism of Xiao-Yao-San for major depression

Guang Zheng*, Rong Li, Huanhuan Shi, Qi Xiao, Wenpeng Xu, Ying Wang, Cheng Lu, Aiping LYU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
EditorsHuiru Zheng, Xiaohua Tony Hu, Yadong Wang, Jin-Kao Hao, David Gilbert, Daniel Berrar, Kwang-Hyun Cho, Werner Dubitzky
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-234
Number of pages6
ISBN (Electronic)9781479956692
DOIs
Publication statusPublished - 29 Dec 2014
Event2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom
Duration: 2 Nov 20145 Nov 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Conference

Conference2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Country/TerritoryUnited Kingdom
CityBelfast
Period2/11/145/11/14

Scopus Subject Areas

  • Biomedical Engineering
  • Health Informatics

User-Defined Keywords

  • major depression
  • molecular mechanism
  • traditional Chinese medicine
  • Xiao-Yao-San

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