Font Size: a A A

Exploring The Medication Rules And Mechanism Of TCM In The Treatment Of Qi Deficiency And Blood Stasis Syndrome In The Recovery Period Of Cerebral Infarction Based On Data Mining And Network Pharmacolog

Posted on:2024-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:Z J LiFull Text:PDF
GTID:2554307100456514Subject:Integrative Medicine
Abstract/Summary:PDF Full Text Request
Objective: To compile the literature related to the treatment of qi deficiency and blood stasis in the recovery period of cerebral infarction in Chinese medicine in the past 20 years,and to investigate the drug use pattern of qi deficiency and blood stasis in the recovery period of cerebral infarction in Chinese medicine by using data mining technology,and to explore the mechanism of action of core drugs with the help of network pharmacology.Data and methods:We searched the relevant literature on Chinese medicine for the treatment of Qi deficiency and blood stasis in the recovery period of cerebral infarction from China Knowledge Network,Wanfang and Wipu databases until December 31,2022,and obtained the prescriptions from the literature.The collected prescriptions were entered,standardized and summarized using Microsoft Excel,and frequency statistics were performed for Chinese medicine,four qi,five flavors and drug attribution,The active ingredients and targets of the core drugs were obtained from the TCMSP database,and the disease targets in the recovery phase of cerebral infarction were obtained from the Gene Cards and TTD databases.The PPI network was constructed with the help of String database and Cytoscape3.9.1 software to obtain the core targets,and the GO functional enrichment analysis and KEGG pathway analysis were performed on the microbial platform to obtain the mechanism of action of the core drugs in the recovery phase of cerebral infarction.Results:1.Through the frequency analysis of 103 Chinese medicines in 117 prescriptions(total 1256medicines),the high frequency medicines(>30)were: Huang Qi,Chuan Xiong,Angelica sinensis,Di Long,Hong Hua,Red Peony,Tao Ren,Dan Shen and Leech.2.Distribution of properties,tastes and meridians: the top three properties were warm,flat and cold;the top three tastes were sweet,pungent and bitter;the top three meridians were liver meridians,followed by heart,spleen,lung and kidney meridians;the top three categories of frequency of use were blood-stasis activators,deficiency tonics and heat-clearing drugs.3.The analysis of the association rules showed that,whether in terms of strong linkage or support,the most commonly used medicine and commonly used drug combination was Huangqi-Chuanxiong-Danggui combination.4.The top 5 core targets are JUN,AKT1,IL6,VEGFA and CASP3,which have various pharmacological activities,such as regulation of immune function,anti-coagulation and antioxidant damage,and reduction of blood glucose level.Akt signaling pathway,IL-17 signaling pathway,AGE-RAGE signaling pathway in diabetic complications,TNF signaling pathway,etc.It has been shown to inhibit apoptosis,anti-inflammatory,pro-vascular growth and cell proliferation,anti-atherosclerosis and lipid-lowering effects in the treatment of cerebral infarction.Conclusions:1.Through the frequency analysis of 103 Chinese medicines in 117 prescriptions(total 1256medicines),the high frequency medicines(>30)were: Huang Qi,Chuan Xiong,Angelica sinensis,Di Long,Hong Hua,Red Peony,Tao Ren,Dan Shen and Leech.2.Distribution of properties,tastes and meridians: the top three properties were warm,flat and cold;the top three tastes were sweet,pungent and bitter;the top three meridians were liver meridians,followed by heart,spleen,lung and kidney meridians;the top three categories of frequency of use were blood-stasis activators,deficiency tonics and heat-clearing drugs.The analysis of the association rules showed that,whether in terms of strong linkage or support,the most commonly used medicine and commonly used drug combination was Huangqi-Chuanxiong-Danggui combination.3.The top 5 core targets are JUN,AKT1,IL6,VEGFA and CASP3,which have various pharmacological activities,such as regulation of immune function,anti-coagulation and antioxidant damage,and reduction of blood glucose level.Akt signaling pathway,IL-17 signaling pathway,AGE-RAGE signaling pathway in diabetic complications,TNF signaling pathway,etc.It has been shown to inhibit apoptosis,anti-inflammatory,pro-vascular growth and cell proliferation,anti-atherosclerosis and lipid-lowering effects in the treatment of cerebral infarction.
Keywords/Search Tags:cerebral infarction recovery, Qi deficiency and blood stasis, data mining, dosing pattern, network pharmacology
PDF Full Text Request
Related items
Data Mining And Network Pharmacology Based Analysis Of Drug Use Pattern And Mechanism Of DKD With Qi And Yin Deficiency And Stasis
Exploring The Medication Rules And Mechanism Of Action Of Atrial Fibrillation With Qi Deficiency And Blood Stasis Based On Data Mining And Network Pharmacolog
Exploring The Medication Rules And Mechanism Of Action Of Traditional Chinese Medicine In The Treatment Of Primary Hyperhidrosis Based On Data Mining And Network Pharmacolog
Based On Data Mining And Network Pharmacology To Explore The Medication Rule And Mechanism Of Coronary Heart Disease With Qi Deficiency And Blood Stasis Syndrome
Research On The Medication Rule And Mechanism Of Hu Shunjin In The Treatment Of Non-dialysis CKD Stage 3-5 Based On Data Mining And Network Pharmacology
Study On Professor Xiaochang Ma’s Medication And Network Pharmacology In The Treatment Of Essential Hypertension
Mechanism And Clinical Efficacy Of Replenish Qi And Activate Blood And Dispel Stasis In The Treatment Of Ischemic Stroke Based On Data Mining And Network Pharmacology
To Investigate The Regularity And Mechanism Of Professor Hu Yueqiang In Treating Acute Cerebral Infarction Based On Data Mining And Network Pharmacology
Research On Medication Rule And Mechanism Prediction Of Treating Non-small Cell Lung Cancer From Stasis Based On Data Mining And Network Pharmacology
10 A Study On The Dosing Pattern Of Chinese Medicine Prescriptions For The Treatment Of Plasma Cell Mastitis Based On Data Mining And Network Pharmacology