대한한의학방제학회지 (Herbal Formula Science)

  • 제32권1호
  • /
  • Pages.11-28
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  • 2024
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  • 1229-1218(pISSN)
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  • 2288-5641(eISSN)
대한한의학방제학회 (The Korean Medicine Society for the Herbal Formula Study)
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당뇨 합병증과 군령탕 구성성분의 네트워크 약리학 분석 및 효능 예측

Network Pharmacology Analysis and Efficacy Prediction of GunryeongTang Constituents in Diabetic Complications

  • 윤정주 (원광대학교 한의과대학 한방심신증후군 연구센터) ;
  • 김혜윰 (원광대학교 한의과대학 한방심신증후군 연구센터) ;
  • 태애림 (원광대학교 한의과대학 한방심신증후군 연구센터) ;
  • 이호섭 (원광대학교 한의과대학 한방심신증후군 연구센터) ;
  • 강대길 (원광대학교 한의과대학 한방심신증후군 연구센터)
  • Jung Joo Yoon (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University) ;
  • Hye Yoom Kim (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University) ;
  • Ai Lin Tai (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University) ;
  • Ho Sub Lee (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University) ;
  • Dae Gill Kang (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University)
  • 투고 : 2023.12.07
  • 심사 : 2024.02.05
  • 발행 : 2024.02.28
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초록

Objectives : GunRyeong-Tang(GRT) is a traditional herbal prescription that combines Oryeongsan and Sagunja-tang. This study employed network analysis methods on the components of GRT and target genes related to diabetes complications to predict the improvement effects of GRT on diabetes complications. Methods : The collection of active compounds of GRT and related target genes involved the utilization of public databases and the PubChem database. We selected diabetes complication-related genes using GeneCards and confirmed their correlation through comparative analysis with the target genes of GRT. We constructed a network using Cytoscape 3.9.1 and conducted topological analysis. To predict the mechanism, we performed functional enrichment analysis based on Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Results : Through network analysis, 234 active compounds and 1361 related genes were collected from GRT. A total of 9,136 genes related to diabetes complications were collected, and 1,039 target genes overlapping with the components of GRT were identified. The core genes of this network were TP53, INS, AKT1, ALB, and EGFR. In addition, GRT significantly reduced the H9c2 cell size and the expression of myocardial hypertrophy biomarkers (ANP, BNP), which were increased by high glucose (HG). Conclusions : Through this study, we were able to predict the activity and mechanism of action of GRT on diabetes and diabetic complications, and confirmed the potential of GRT as a treatment for diabetes complications through the effect of GRT on improving myocardial hypertrophy for diabetic cardiomyopathy.

키워드

과제정보

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(2021R1C1C2009542), (2017R1A5A2015805).

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