The Journal of Korean Medicine (대한한의학회지)

The Society of Korean Medicine (대한한의학회)
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Network pharmacology-based prediction of efficacy and mechanism of Chongmyunggongjin-dan acting on Alzheimer's disease

네트워크 약리학을 기반으로한 총명공진단(聰明供辰丹) 구성성분과 알츠하이머 타겟 유전자의 효능 및 작용기전 예측

  • Bitna Kweon (Department of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Sumin Ryu (Department of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Dong-Uk Kim (Department of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Jin-Young Oh (Department of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Mi-Kyung Jang (Department of Pharmacology, School of Korean Medicine, Wonkwang University) ;
  • Sung-Joo Park (Hanbang Cardio-Renal Syndrome Research Center, Wonkwang University) ;
  • Gi-Sang Bae (Department of Pharmacology, School of Korean Medicine, Wonkwang University)
  • 권빛나 (원광대학교 한의과대학 약리학교실) ;
  • 유수민 (원광대학교 한의과대학 약리학교실) ;
  • 김동욱 (원광대학교 한의과대학 약리학교실) ;
  • 오진영 (원광대학교 한의과대학 약리학교실) ;
  • 장미경 (원광대학교 한의과대학 약리학교실) ;
  • 박성주 (원광대학교 한방심신증후군연구센터) ;
  • 배기상 (원광대학교 한의과대학 약리학교실)
  • Received : 2023.04.12
  • Accepted : 2023.05.10
  • Published : 2023.06.01
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Abstract

Objectives: Network pharmacology is a method of constructing and analyzing a drug-compound-target network to predict potential efficacy and mechanisms related to drug targets. In that large-scale analysis can be performed in a short time, it is considered a suitable tool to explore the function and role of herbal medicine. Thus, we investigated the potential functions and pathways of Chongmyunggongjin-dan (CMGJD) on Alzheimer's disease (AD) via network pharmacology analysis. Methods: Using public databases and PubChem database, compounds of CMGJD and their target genes were collected. The putative target genes of CMGJD and known target genes of AD were compared and found the correlation. Then, the network was constructed using Cytoscape 3.9.1. and functional enrichment analysis was conducted based on the Gene Ontology (GO) Biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways to predict the mechanisms. Results: The result showed that total 104 compounds and 1157 related genes were gathered from CMGJD. The network consisted of 1157nodes and 10034 edges. 859 genes were interacted with AD gene set, suggesting that the effects of CMGJD are closely related to AD. Target genes of CMGJD are considerably associated with various pathways including 'Positive regulation of chemokine production', 'Cellular response to toxic substance', 'Arachidonic acid metabolic process', 'PI3K-Akt signaling pathway', 'Metabolic pathways', 'IL-17 signaling pathway' and 'Neuroactive ligand-receptor interaction'. Conclusion: Through a network pharmacological method, CMGJD was predicted to have high relevance with AD by regulating inflammation. This study could be used as a basis for effects of CMGJD on AD.

Keywords

Acknowledgement

이 논문은 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(NRF-2021R1I1A2053285).

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