| Literature DB >> 26813334 |
Jianling Liu1,2,3, Jiexin Mu1,2,3, Chunli Zheng2,3, Xuetong Chen2,3, Zihu Guo2,3, Chao Huang2,3, Yingxue Fu2,3, Guihua Tian4, Hongcai Shang4, Yonghua Wang2,3.
Abstract
Cardiovascular diseases (CVDs) have been regarding as "the world's first killer" of human beings in recent years owing to the striking morbidity and mortality, the involved molecular mechanisms are extremely complex and remain unclear. Traditional Chinese medicine (TCM) adheres to the aim of combating complex diseases from an integrative and holistic point of view, which has shown effectiveness in CVDs therapy. However, system-level understanding of such a mechanism of multi-scale treatment strategy for CVDs is still difficult. Here, we developed a system pharmacology approach with the purpose of revealing the underlying molecular mechanisms exemplified by a famous compound saffron formula (CSF) in treating CVDs. First, by systems ADME analysis combined with drug targeting process, 103 potential active components and their corresponding 219 direct targets were retrieved and some key interactions were further experimentally validated. Based on this, the network relationships among active components, targets and diseases were further built to uncover the pharmacological actions of the drug. Finally, a "CVDs pathway" consisted of several regulatory modules was incorporated to dissect the therapeutic effects of CSF in different pathological features-relevant biological processes. All this demonstrates CSF has multi-scale curative activity in regulating CVD-related biological processes, which provides a new potential way for modern medicine in the treatment of complex diseases.Entities:
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Year: 2016 PMID: 26813334 PMCID: PMC4728400 DOI: 10.1038/srep19809
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Workflow for CSF in treating CVDs.
Inhibitory rate for the selected key drug-target interactions.
| NO. | Target Gene Name | Drug Name | Dosage (μM) | Inhibitory Rate (%) |
|---|---|---|---|---|
| 1 | MPO | kaempferol | 10 | 84 |
| 2 | MPO | catechin | 5 | 86 |
| 3 | F2 | isorhamnetin | 100 | 36 |
| 4 | PIM1 | isorhamnetin | 10 | 24 |
Figure 2(a) Compound-target-function network. A compound and a target are linked if the target protein is hit by the corresponding compound. Similarly, a target and a functional module are linked if the target is involved in this biological process. Node size is proportional to its degree and the letters are node labels. (b) Compound-target relationship. A compound and a target are linked if the target protein is hit by the corresponding compound. Node size is proportional to its degree and the letters are node labels.
Figure 3Target-CVDs associated disease network.
Target proteins are linked with their corresponding diseases and those diseases are linked with the corresponding disease categories they belong to. The letters are node labels.
Figure 4CVDs pathway and therapeutic modules.