A Systems Biological Approach to Understanding the Mechanisms Underlying the Therapeutic Potential of Red Ginseng Supplements against Metabolic Diseases.

Eunseon Jeong,Yeni Lim,Oran Kwon,Doheon Lee,Jaehyun Suh,Hyeon-Hui Ki,Seung-Ho So,Kyeong Jin Kim,Ji Yeon Kim

doi:10.3390/molecules25081967

Abstract

Red ginseng has been widely used in health-promoting supplements in Asia and is becoming increasingly popular in Western countries. However, its therapeutic mechanisms against most diseases have not been clearly elucidated. The aim of the present study was to provide the biological mechanisms of red ginseng against various metabolic diseases. We used a systems biological approach to comprehensively identify the component-target and target-pathway networks in order to explore the mechanisms underlying the therapeutic potential of red ginseng against metabolic diseases. Of the 23 components of red ginseng with target, 5 components were linked with 37 target molecules. Systematic analysis of the constructed networks revealed that these 37 targets were mainly involved in 9 signaling pathways relating to immune cell differentiation and vascular health. These results successfully explained the mechanisms underlying the efficiency of red ginseng for metabolic diseases, such as menopausal symptoms in women, blood circulation, diabetes mellitus, and hyperlipidemia.

Highlights

Metabolic diseases such as diabetes mellitus and cardiovascular disease manifest through a combination of various risk factors, such as low-grade inflammation, metabolic disorders, excess lipid accumulation, and loss of insulin sensitivity [1]
We have developed a comprehensive systematic approach for understanding the mechanisms by which red ginseng acts on metabolic disease and compared the pathways involved with those affected by white ginseng using a systems biology approach [22]
We we identified nine pathways affected only by red ginseng with give components

Summary

Introduction

Metabolic diseases such as diabetes mellitus and cardiovascular disease manifest through a combination of various risk factors, such as low-grade inflammation, metabolic disorders, excess lipid accumulation, and loss of insulin sensitivity [1].

Objectives

Methods

Results

Conclusion