[논문]단삼(丹參)을 뇌졸중 동물모델에 적용하기 위한 기초적인 네트워크 약리학 분석

최명진; 양원진; 이병호; 조수인

doi:10.14374/hfs.2021.29.1.19

[국내논문] 단삼(丹參)을 뇌졸중 동물모델에 적용하기 위한 기초적인 네트워크 약리학 분석
Basic network pharmacological analysis of Salvia miltiorrhiza root for further application to an animal stroke model 원문보기

大韓韓醫學方劑學會誌 = Herbal formula science, v.29 no.1, 2021년, pp.19 - 31

최명진 (부산대학교 한의학전문대학원) , 양원진 (부산대학교 한의학전문대학원) , 이병호 (인주한방병원) , 조수인 (부산대학교 한의학전문대학원)

Abstract ▼ AI-Helper

Objectives : The root of Salvia miltiorrhiza, known as 'Dansam (DS, 丹參)', is used for and treating cardiovascular diseases based on its efficacy of promoting blood circulation and breaking through a blood stasis. In this study, we would like to see if DS could be effectively used for stroke from the perspective of network pharmacology. Methods : The analysis was conducted using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database to derive the main active compounds of DS and identify the mechanism of each compound acting on the human body. The networks between compounds, target protein and disease were expressed through Cytoscape. Protein-protein interaction (PPI) analysis was performed using STRING database. Results : Fifty two active compounds of DS were identified by screening the ingredients of DS through TCMSP. Based on the networks of these compounds with target protein and disease, it can be said that DS might be effective for preventing and treating stroke. PPI result showed that adrenergic receptor has many interactions among proteins, indicating its significance in stroke pathway. Conclusion : In this study, we derived target proteins and target diseases of DS that could be used in study of stroke. However, since it is uncertain if these targets can be controlled by DS extracts or not, we would like to confirm the results with further animal experiments.

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표/그림 (10)

표 Table 1. List of potentially bioactive compound of Dansam (DS) from TCMSP database.
그림 Fig. 1. Compound-target network of DS based on Table 1. Green circles (inner circles) represent the compounds, while purple circles (outer circles) delineate the target proteins. The left circle refers to the entire interactions of DS compound-target network. Important targets are enlarged in the right rectangle.
그림 Fig. 2. Compound-disease network of DS. Green circle s (inner circles) stand for the compounds, while red circles (outer circles) refer to the diseases. The left circle refers to the entire interactions of DS compound-disease network. Important diseases are enlarged in the right rectangle.
표 Table 2. Selected 52 diseases related to brain disease.
표 Table 3. List of targets with top 20% frequency of interaction at compound-target network.
그림 Fig. 3. PPI network constructed using STRING database. The edge between proteins means that the two sides are known or predicted to have interaction.
표 Table 4. GO analysis about biological process.
표 Table 5. GO analysis about molecular function.
표 Table 6. GO analysis about cellular component.
그림 Fig. 4. GO term enrichment analysis about BP, MF, CC. GO categories for each function were classified by descending order of value, based on the false discovery rate.

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