Herbal Medicine: Open Access

Evaluation of Synergistic Effect of Predicted Network Pharmacology of Berberine in Type 2 Mellitus Diabetes Treatment

Objectives: Based on the compounds-target-disease network theory, network pharmacology are new approaches for systematic studying the diseases, revealing the mystery of active compounds synergistic effect and investigating the mechanism of Traditional Chinese Medicines (TCM). The potential pharmacodynamic material basis and network regulation mechanism of berberine in diabetes and related chronic diseases are studied. Methods: The corresponding ID number of berberine was checked in the PubChem database. The putative targets of diabetes and related chronic diseases were found through the IPA commercial database combined with OMIM database. Finally, it established a berberine-target genesdiseases network by Cytoscape. Graph-based techniques are examined by the network diffusion methods to predict berberine-target genes-diseases network and influence the transmission in networks. Results: The corresponding gene of berberine were found in the IPA database, and the effective targets for diabetes and related chronic diseases were obtained by combining OMIM. It is confirmed that berberine worked on 45 putative targets, such as APOA1, VEGFA, PPARG, PRKCZ, TNF etc. These drug-target networks involve about 20 diseases such as diabetes, high blood pressure, coronary heart disease, cardiac arrhythmia, depression, neuro division, and so on. On the basis of above similarities and interaction data for gene and targets; a new gene or target get its interaction profile respectively; a new gene is one that has unknown targets and in the similar manner a new target is the one which has no known interactions with any genes and proposed efficient way to understand berberine pathways mechanisms. Conclusion: The common putative targets of diabetes and related chronic diseases are identified from the molecular level, established the berberine-drug target predictiondisease pharmacology network. This method may offer an efficient way to understand the berberine, multi-targets and multiple pathways mechanisms of berberine for treatment of diabetes and related chronic diseases.

Author(s): Li Bo, Chen Yu-Bao*, Hu Wen-Xiang, Pan Chen-Ling and Meng Hao

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