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. 2016:2016:9146378.
doi: 10.1155/2016/9146378. Epub 2016 Dec 12.

Systems Pharmacology Based Study of the Molecular Mechanism of SiNiSan Formula for Application in Nervous and Mental Diseases

Xia Shen  1 , Zhenyu Zhao  1 , Xuan Luo  1 , Hao Wang  1 , Benxiang Hu  1 , Zihu Guo  2
Affiliations

Systems Pharmacology Based Study of the Molecular Mechanism of SiNiSan Formula for Application in Nervous and Mental Diseases

Xia Shen et al. Evid Based Complement Alternat Med. 2016.

Abstract

Background. Mental disorder is a group of systemic diseases characterized by a variety of physical and mental discomfort, which has become the rising threat to human life. Herbal medicines were used to treat mental disorders for thousand years in China in which the molecular mechanism is not yet clear. Objective. To systematically explain the mechanisms of SiNiSan (SNS) formula on the treatment of mental disorders. Method. A systems pharmacology method, with ADME screening, targets prediction, and DAVID enrichment analysis, was employed as the principal approach in our study. Results. 60 active ingredients of SNS formula and 187 mental disorders related targets were discovered to have interactions with them. Furthermore, the enrichment analysis of drug-target network showed that SNS probably acts through "multi-ingredient, multitarget, and multisystems" holistic coordination in different organs pattern by indirectly regulating the nutritional and metabolic pathway even their serial complications. Conclusions. Our research provides a reference for the molecular mechanism of medicinal herbs in the treatment of mental disease on a systematic level. Hopefully, it will also provide a theoretical basis for the discovery of lead compounds of natural medicines for other diseases based on traditional medicine.

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Conflict of interest statement

The authors declare that there is no conflict of interests regarding the publication of this paper.

Figures

Figure 1
Figure 1
Compound-Target network of SNS formula. The blue and purple nodes represent the compounds from SNS formula. The purple nodes represent the compounds which can pass the BBB and the blue nodes with nonpenetrating compounds. The nodes colored with yellow (brain, node = 78), green (liver, node = 22), and red (both brain and liver, node = 14), respectively, represent the targets from different organs. The red line represents the interaction between BBB penetrating compounds and targets from the brain.
Figure 2
Figure 2
Target-Disease network of 116 potential targets and 170 related diseases which are classified into 15 groups by MeSH. Blue circle, purple rectangles, and green node represent the potential targets, related diseases, and the MeSH classification of diseases. And green triangles belong to nervous diseases.
Figure 3
Figure 3
The statistical information of potential diseases from different six main MeSH classifications discovered by database.
See this image and copyright information in PMC

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