Pretreatment with a traditional Chinese formula, guanxin II, reduces cardiac apoptosis via the Akt survival pathway in rats with myocardial ischemia

Network Pharmacology-Based Exploration of Synergistic Mechanism of Guanxin II Formula (II) for Coronary Heart Disease

OBJECTIVE

To study the pharmacological mechanism of Guanxin II formula (II) for treatment of coronary heart disease (CHD).

METHODS

A network pharmacology-based method was utilized. First candidate compounds, targets of GX II were collected using PharmMapper, BATMAN-TCM, DrugBank and SwissTargetPrediction, and targets on CHD were mined from GeneCards, DisGenet, DrugBank and GEO. Afterwards, the big hub compounds and targets were chosen in the candidate compounds-direct therapeutic targets on the CHD (C-T) network and the direct therapeutic targets on the CHD (T-D) network. Furthermore, the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were performed to identify the enriched terms. Finally, a molecular docking simulation strategy was adopted to verify the binding capacity between the big hub compounds and big hub targets on CHD.

RESULTS

First, 114 candidate compounds were selected with the following criteria: OB⩾30%, DL⩾0.18, and HL ⩾4 h. Then, 1,035 targets of GX II were gathered, while 928 targets on CHD were collected. Afterwards, 196 common targets of compound targets and therapeutic targets on CHD were defined as direct therapeutic targets acting on CHD. In addition, the contribution index (CI) in the C-T network was calculated, and 4 centrality properties, including degree, betweenness, closeness and coreness, in the T-D network, 4 big hub compounds, and 6 big hub targets were eventually chosen. Furthermore, the GO and KEGG analysis indicated that GX II acted on CHD by regulating the reactive oxygen species metabolism, steroid metabolism, lipid metabolism, inflammatory response, proliferation, differentiation and apoptosis. The docking results manifested excellent binding capacity between the 4 big hub compounds and 6 big hub targets on CHD.

CONCLUSION

This network pharmacology-based exploration revealed that GX II might prevent and inhibit the primary pathological processes of CHD.

Disease gene interaction pathways: a potential framework for how disease genes associate by disease-risk modules

Background

Disease genes that interact cooperatively play crucial roles in the process of complex diseases, yet how to analyze and represent their associations is still an open problem. Traditional methods have failed to represent direct biological evidences that disease genes associate with each other in the pathogenesis of complex diseases. Molecular networks, assumed as ‘a form of biological systems’, consist of a set of interacting biological modules (functional modules or pathways) and this notion could provide a promising insight into deciphering this topic.

Methodology/Principal Findings

In this paper, we hypothesized that disease genes might associate by virtue of the associations between biological modules in molecular networks. Then we introduced a novel disease gene interaction pathway representation and analysis paradigm, and managed to identify the disease gene interaction pathway for 61 known disease genes of coronary artery disease (CAD), which contained 46 disease-risk modules and 182 interaction relationships. As demonstrated, disease genes associate through prescribed communication protocols of common biological functions and pathways.

Conclusions/Significance

Our analysis was proved to be coincident with our primary hypothesis that disease genes of complex diseases interact with their neighbors in a cooperative manner, associate with each other through shared biological functions and pathways of disease-risk modules, and finally cause dysfunctions of a series of biological processes in molecular networks. We hope our paradigm could be a promising method to identify disease gene interaction pathways for other types of complex diseases, affording additional clues in the pathogenesis of complex diseases.