The Journal of Internal Korean Medicine (대한한방내과학회지)

The Society of Internal Korean Medicine (대한한방내과학회)
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Network Analysis Using the Established Database (K-herb Network) on Herbal Medicines Used in Clinical Research on Heart Failure

심부전의 한약 임상연구에 활용된 한약재에 대한 기구축 DB(K-HERB NETWORK)를 활용한 네트워크 분석

  • Subin Park (College of Korean Medicine, Wonkwang University) ;
  • Ye-ji Kim (College of Korean Medicine, Wonkwang University) ;
  • Gi-Sang Bae (Dept. of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Cheol-Hyun Kim (Dept. of Internal Medicine, College of Korean Medicine, Wonkwang University) ;
  • Inae Youn (Division of Acupuncture and Moxibustion, Dept. of Korean Medicine, National Medical Center) ;
  • Jungtae Leem (Hanbang Cardio-Renal Syndrome Research Center, School of Korean Medicine, Wonkwang University) ;
  • Hongmin Chu (College of Korean Medicine, Wonkwang University)
  • 박수빈 (원광대학교 한의과대학) ;
  • 김예지 (원광대학교 한의과대학) ;
  • 배기상 (원광대학교 한의과대학 약리학교실) ;
  • 김철현 (원광대학교 한의과대학 내과학교실) ;
  • 윤인애 (국립중앙의료원) ;
  • 임정태 (원광대학교 한방 심신증후군연구센터) ;
  • 추홍민 (원광대학교 한의과대학)
  • Received : 2023.03.16
  • Accepted : 2023.06.28
  • Published : 2023.06.30
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Abstract

Objectives: Heart failure is a chronic disease with increasing prevalence rates despite advancements in medical technology. Korean medicine utilizes herbal prescriptions to treat heart failure, but little is known about the specific herbal medicines comprising the network of herbal prescriptions for heart failure. This study proposes a novel methodology that can efficiently develop prescriptions and facilitate experimental research on heart failure by utilizing existing databases. Methods: Herbal medicine prescriptions for heart failure were identified through a PubMed search and compiled into a Google Sheet database. NetMiner 4 was used for network analysis, and the individual networks were classified according to the herbal medicine classification system to identify trends. K-HERB NETWORK was utilized to derive related prescriptions. Results: Network analysis of heart failure prescriptions and herbal medicines using NetMiner 4 produced 16 individual networks. Uhwangcheongsim-won (牛黃淸心元), Gamiondam-tang (加味溫膽湯), Bangpungtongseong-san (防風通聖散), and Bunsimgi-eum (分心氣飮) were identified as prescriptions with high similarity in the entire network. A total of 16 individual networks utilized K-HERB NETWORK to present prescriptions that were most similar to existing prescriptions. The results provide 1) an indication of existing prescriptions with potential for use to treat heart failure and 2) a basis for developing new prescriptions for heart failure treatment. Conclusion: The proposed methodology presents an efficient approach to developing new heart failure prescriptions and facilitating experimental research. This study highlights the potential of network pharmacology methodology and its possible applications in other diseases. Further studies on network pharmacology methodology are recommended.

Keywords

Acknowledgement

This work was supported by a National Research Foundation of Korea grant funded by the Korea government (No NRF-2022R1C1C2008738). This work was also supported by a National Medical Center (NMC2023-MS-02).

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