Herbal Formula Science (대한한의학방제학회지)

The Korean Medicine Society for the Herbal Formula Study (대한한의학방제학회)
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Pharmacological Systemic Analysis of Curcumae Radix in Lipid Metabolism

시스템 분석을 통한 지질대사에서 울금의 약리작용

  • Jo, Han Byeol (School of Korean Medicine, Pusan National University) ;
  • Kim, Ji Young (School of Korean Medicine, Pusan National University) ;
  • Kim, Min Sung (School of Korean Medicine, Pusan National University) ;
  • An, Won Gun (School of Korean Medicine, Pusan National University) ;
  • Lee, Jang-Cheon (School of Korean Medicine, Pusan National University)
  • 조한별 (부산대학교 한의학전문대학원) ;
  • 김지영 (부산대학교 한의학전문대학원) ;
  • 김민성 (부산대학교 한의학전문대학원) ;
  • 안원근 (부산대학교 한의학전문대학원) ;
  • 이장천 (부산대학교 한의학전문대학원)
  • Received : 2018.07.05
  • Accepted : 2018.08.30
  • Published : 2018.08.31
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Abstract

Objectives : This study is a pharmacological network approach, aimed to identify the potential active compounds contained in Curcumae Radix, and their associated targets, to predict the various bio-reactions involved, and finally to establish the cornerstone for the deep-depth study of the representative mechanisms. Methods : The active compounds of Curcumae Radix have been identified using Traditional Chinese Medicine System Pharmacology Database and Analysis Platform. The UniProt database was used to collect each of information of all target proteins associated with the active compounds. To find the bio-metabolic processes associated with each target, the DAVID6.8 Gene Functional classifier tool was used. Compound-Target and Target-Pathway networks were analyzed via Cytoscape 3.40. Results : The target information from 32 potential active compounds of Curcumae Radix was collected through TCMSP analysis. The active compounds interact with 133 target genes engaging in total of 885 biological pathways. The most relevant pathway was the lipid-related metabolism, in which 3 representative active compounds were naringenin, oleic acid, and ${\beta}-sitosterol$. The mostly targeted proteins in the lipid pathway were ApoB, AKT1 and PPAR. Conclusions : The pharmacological network analysis is convenient approach to predict the overall metabolic mechanisms in medicinal herb research, which can reduce the processes of various experimental trial and error and provide key clues that can be used to validate and experimentally verify the core compounds.

Keywords

References

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