In Silico Prediction of the Anti-Depression Mechanism of a Herbal Formula (Tiansi Liquid) Containing Morinda officinalis and Cuscuta chinensis | |
Cheng, Dan3; Murtaza, Ghualm1,2,3; Ma, Suya3; Li, Lingling3; Li, Xinjie3; Tian, Fangze3; Zheng, Junchao3; Lu, Yi3 | |
刊名 | MOLECULES |
2017-10-01 | |
卷号 | 22期号:10页码:16 |
关键词 | biological effects Cytoscape depression mechanism of action molecular targets Tiansi Liquid STITCH |
ISSN号 | 1420-3049 |
DOI | 10.3390/molecules22101614 |
通讯作者 | Murtaza, Ghualm(gmdogar356@gmail.com) ; Lu, Yi(luyi@bucm.edu.cn) |
英文摘要 | Purpose: Depression is a sickening psychiatric condition that is prevalent worldwide. To manage depression, the underlying modes of antidepressant effect of herbals are important to be explored for the development of natural drugs. Tiansi Liquid is a traditional Chinese medicine (TCM) that is prescribed for the management of depression, however its underlying mechanism of action is still uncertain. The purpose of this study was to systematically investigate the pharmacological mode of action of a herbal formula used in TCM for the treatment of depression. Methods: Based on literature search, an ingredients-targets database was developed for Tiansi Liquid, followed by the identification of targets related to depression. The interaction between these targets was evaluated on the basis of protein-protein interaction network constructed by STITCH and gene ontology (GO) enrichment analysis using ClueGO plugin. Results: As a result of literature search, 57 components in Tiansi Liquid formula and 106 potential targets of these ingredients were retrieved. A careful screening of these targets led to the identification of 42 potential targets associated with depression. Ultimately, 327 GO terms were found by analysis of gene functional annotation clusters and abundance value of these targets. Most of these terms were found to be closely related to depression. A significant number of protein targets such as IL10, MAPK1, PTGS2, AKT1, APOE, PPARA, MAPK1, MIF, NOS3 and TNF-alpha were found to be involved in the functioning of Tiansi Liquid against depression. Conclusions: The findings elaborate that Tiansi Liquid can be utilized to manage depression, however, multiple molecular mechanisms of action could be proposed for this effect. The observed core mechanisms could be the sensory perception of pain, regulation of lipid transport and lipopolysaccharide-mediated signaling pathway. |
资助项目 | Century Excellent Talents of China[NECT-13-0695] ; National Nature Science Foundation of China[81522051] ; National Nature Science Foundation of China[81102623] ; Beijing University of Chinese Medicine[2016-JYB-JSMS-019] |
WOS关键词 | ADULT HIPPOCAMPAL NEUROGENESIS ; FORCED SWIMMING TEST ; MONOAMINE-OXIDASE ; NETWORK ANALYSIS ; ACTIVATION ; MICE ; PHARMACOLOGY ; INVOLVEMENT ; RECEPTORS ; REGULATOR |
WOS研究方向 | Biochemistry & Molecular Biology ; Chemistry |
语种 | 英语 |
出版者 | MDPI AG |
WOS记录号 | WOS:000414670600042 |
资助机构 | Century Excellent Talents of China ; National Nature Science Foundation of China ; Beijing University of Chinese Medicine |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/28210] |
专题 | 中国科学院自动化研究所 |
通讯作者 | Murtaza, Ghualm; Lu, Yi |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100029, Peoples R China 2.COMSATS Inst Informat Technol Abbottabad, Dept Pharm, Abbottabad 22060, Pakistan 3.Beijing Univ Chinese Med, Sch Preclin Med, Beisanhuan East Rd, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | Cheng, Dan,Murtaza, Ghualm,Ma, Suya,et al. In Silico Prediction of the Anti-Depression Mechanism of a Herbal Formula (Tiansi Liquid) Containing Morinda officinalis and Cuscuta chinensis[J]. MOLECULES,2017,22(10):16. |
APA | Cheng, Dan.,Murtaza, Ghualm.,Ma, Suya.,Li, Lingling.,Li, Xinjie.,...&Lu, Yi.(2017).In Silico Prediction of the Anti-Depression Mechanism of a Herbal Formula (Tiansi Liquid) Containing Morinda officinalis and Cuscuta chinensis.MOLECULES,22(10),16. |
MLA | Cheng, Dan,et al."In Silico Prediction of the Anti-Depression Mechanism of a Herbal Formula (Tiansi Liquid) Containing Morinda officinalis and Cuscuta chinensis".MOLECULES 22.10(2017):16. |
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