NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2023, Vol. 35 ›› Issue (1): 139-150. doi: 10.16333/j.1001-6880.2023.1.015

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Traditional Chinese medicine syndrome,medication rules and related pharmacological analysis of chronic heart failure based on data mining and network pharmacology

WEI Jia-ming1,4,LIU Cheng-xin1,LI Ya2,GUO Zhi-hua3,4*   

  1. 1湖南中医药大学第一中医临床学院;2湖南中医药大学药学院;3湖南中医药大学中医学院;4湖南中医药大学慢病中医智能诊断与治未病湖南省普通高等学校重点实验室,长沙 410208
  • Online:2023-01-28 Published:2023-02-20

Abstract:

Based on data mining and network pharmacology technology,this study explored the Traditional Chinese Medicine (TCM) syndrome and medication rules in the treatment of chronic heart failure (CHF),and analyzed the drug group with the highest frequency of occurrence through network pharmacology.The literatures on the treatment of CHF with Chinese Medicine published in the core journals from the establishment of the database to February 2022 were searched,then the TCM syndrome and medication rules of effective prescriptions were analyzed;meanwhile,the components,targets and signaling pathways of the highest frequency drug group in treating CHF were analyzed.A total of 214 related prescriptions and 148 Chinese medicines were selected,among which Astragali Radix,Salviae Miltiorrhizae Radix et Rhizoma,Poria,Glycyrrhizae Radix et Rhizoma,Aconiti Lateralis Radix Praeparata,Descurainiae Semen were most frequently used;the main TCM syndrome was Yang deficiency with water flooding syndrome and Qi deficiency with blood stasis syndrome;the medicinal flavor was mainly warm,calm,slightly cold,and sweet,pungent,bitter,which mainly belonged to the lung,spleen and heart meridians;the drugs efficacy was mainly classified as restorative Chinese herbal medicines (CHMs),CHMs for invigorating circulation and removing blood stasis,CHMs for promoting water and dampness.Through association rule analysis,11 pairs of drug groups were obtained,in which Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma showed the highest frequency;and four cluster prescriptions were obtained by cluster analysis.The results of network pharmacological analysis showed that there were five main active compounds,ten core targets,six signaling pathway of Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma to treat CHF.Through data mining,we find that the TCM syndrome of CHF are mainly Yang deficiency with water flooding syndrome and Qi deficiency with blood stasis syndrome,and the commonly used medicines in TCM treatment were restorative CHMs,CHMs for invigorating circulation and removing blood stasis,CHMs for promoting water and dampness,which were often used in combination with warm,calm,slightly cold,and sweet,pungent,bitter,and belonging to the lung,spleen and heart meridians.VEGF signaling pathway,lipid and atherosclerosis,relaxin signaling pathway,HIF-1 signaling pathway,ErbB signaling pathway,FoxO signaling pathway were the main ways of Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma to treat CHF.It provides a reference for further clinical medication and mechanism research of TCM in the treatment of CHF.

Key words: chronic heart failure, data mining, network pharmacology, TCM syndrome, medication rules, mechanism research

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