scholarly journals Data Mining Based Establishment and Evaluation of Porcine Model for Syndrome in Traditional Chinese Medicine in the Context of Unstable Angina (Myocardial Ischemia)

10.5772/13960 ◽  
2011 ◽  
Author(s):  
Huihui Zhao ◽  
Jianxin Chen ◽  
Qi Shi ◽  
Wei Wang
Keyword(s):  
Data Mining ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Myocardial Ischemia ◽  
Unstable Angina ◽  
Porcine Model

BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES

2009 ◽  
Vol 17 (04) ◽  
pp. 531-546 ◽  
Author(s):  
SHUZHEN GUO ◽  
JIANXIN CHEN ◽  
HUIHUI ZHAO ◽  
WEI WANG ◽  
JIANQIANG YI ◽  
...  
Keyword(s):  
Data Mining ◽  
Animal Model ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Myocardial Ischemia ◽  
Unstable Angina ◽  
Clinical Epidemiology ◽  
Blood Stasis ◽  
Blood Stasis Syndrome ◽  
Novel Strategy

Building an animal model for a disease is a better avenue to understand the inner mechanism of it. Traditional Chinese Medicine accumulated much practical experience and a large amount of literature to heal diseases during the past 3000 years. However, as there is no available animal model for TCM research because syndrome, the core of TCM theory, it is hard to be diagnosed from animals. In this paper, we present a novel strategy to build and evaluate an animal model for syndrome in TCM in the context of a disease. We first carried out a clinical epidemiology survey for a syndrome (Blood stasis syndrome, BSS) diagnosed by TCM experts in the context of a disease (Unstable angina, UA). Meanwhile, the blood samples of patients included in the survey were collected and measured as physical and chemical specifications by laboratory examinations. Alternatively, we used supervised data mining methods to build association between the specifications and the syndrome in the context of UA. The accuracy of classification was used to evaluate performance of the association built. Finally, we built an animal model for myocardial ischemia and validated the model by established diagnosis criterion of myocardial ischemia. Furthermore, the built association was used to evaluate whether an animal is with BSS. The results indicated that the strategy successfully evaluates and separates the animal model for syndrome in TCM from the counterpart for myocardial ischemia. The novel strategy presented in the paper provides a better insight to understand the nature of syndrome in TCM and pave a basis for personalized therapies of UA.

scholarly journals Medication regularity of pulmonary fibrosis treatment by contemporary traditional Chinese medicine experts based on data mining

2018 ◽  
Vol 10 (3) ◽  
pp. 1775-1787 ◽  
Author(s):  
Suxian Zhang ◽  
Hao Wu ◽  
Jie Liu ◽  
Huihui Gu ◽  
Xiujuan Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Pulmonary Fibrosis

scholarly journals Study on Medication Rules of Traditional Chinese Medicine against Antineoplastic Drug-Induced Cardiotoxicity Based on Network Pharmacology and Data Mining

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Wenchao Dan ◽  
Jinlei Liu ◽  
Xinyuan Guo ◽  
Boran Zhang ◽  
Yi Qu ◽  
...  
Keyword(s):  
Data Mining ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Target Prediction ◽  
Antineoplastic Drug ◽  
Matrix Metalloproteinase 2 ◽  
Network Pharmacology ◽  
China National Knowledge Infrastructure ◽  
Drug Induced ◽  
Mitogen Activated Protein

Background and Aim. Antineoplastic drug-induced cardiotoxicity (ADIC) becomes the second leading cause of death for tumor survivors after tumor recurrence and metastasis, and there may be great room for development in the future of traditional Chinese medicine (TCM). However, the theory of anticardiotoxicity of TCM has not yet formed a system. This study aimed to explore the material basis and the rule of TCM against ADIC based on network pharmacology and data mining. Methods. The targets of antineoplastic drugs with cardiotoxicity were obtained from the National Center for Biotechnology Information (NCBI) database, China national knowledge infrastructure (CNKI) database, and Swiss Target Prediction platform. Then, the cardiotoxicity-related targets were derived from the Gene Cards, Disgenet, OMIM, and DrugBank databases, as well as the drug of current clinical guidelines. The targets both in these two sets were regarded as potential targets to alleviate ADIC. Then, candidate compounds and herbs were matched via Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform. Cytoscape3.7.1 was used to set up the target-compound-herb network. Molecular docking between core targets and compounds was performed with AutodockVina1.1.2. The rules of herbs were summarized by analyzing their property, flavor, and channel tropism. Results. Twenty-one potential targets, 332 candidate compounds, and 400 kinds of herbs were obtained. Five core targets including potassium voltage-gated channel subfamily H member 2 (KCNH2), cyclin-dependent kinase 1 (CDK1), matrix metalloproteinase 2 (MMP2), mitogen-activated protein kinase1 (MAPK1), and tumor protein p53 (TP53) and 29 core compounds (beta-sitosterol, quercetin, kaempferol, etc.) were collected. Five core herbs (Yanhusuo, Gouteng, Huangbai, Lianqiao, and Gancao) were identified. Also, the TCM against ADIC were mainly bitter and acrid in taste, warm in property, and distributed to the liver and lung meridians. Conclusion. TCM against ADIC has great potential. Our study provides a new method and ideas for clinical applications of integrated Chinese and western medicine in treating ADIC.

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