Tags

Type your tag names separated by a space and hit enter

[Study on relevance mining of "core drug action target" in Dictionary of Traditional Chinese Medicine Prescriptions].
Zhongguo Zhong Yao Za Zhi. 2018 Oct; 43(19):3919-3926.ZZ

Abstract

Based on the database of "Dictionary of Traditional Chinese Medicine Prescriptions", high-frequency herbs of Xiaoke disease is mined by traditional Chinese medicine inheritance support system, and core herbs and combinations are discovered through association rules and cluster analysis. On this basis, based on the integrative pharmacology of traditional Chinese medicine to explore the herb-disease relationship, the "herb-compound-target" network is constructed and enriched for the analysis of key target gene functions, metabolic pathways, and their "core herb-target interactions". In order to explore the molecular mechanism of its prevention and treatment of diabetes, 341 diabetes prescriptions are collected, organized, and tapped in the Dictionary of Traditional Chinese Medicine Prescriptions. Herb frequency statistics show that Licorice was the most commonly used, followed by Ophiopogonis Radix, Poria, Ginseng Radix et Rhizoma, Coptidis Rhizoma, etc., the medicinal properties are mostly cold, warm and ping, and the medicinal taste tends to be pungent, bitter, and sour, and they were attributed to lung meridian, stomach meridian, spleen meridian, etc. Among them, the 17 herbs were closely related. Ginseng Radix et Rhizoma, Ophiopogonis Radix, Poria and Glycyrrhizae Radix et Rhizoma were the core Chinese herbs. Ophiopogonis Radix was the key node of Coptidis Rhizoma, Trichosanthis Radix and core Chinese medicine, and Ophiopogonis Radix was the key node for the connection between Coptidis Rhizoma and Trichosanthis Radix and the core Chinese herbs. Using integrated pharmacology platform analysis, 10 crucial core targets for the prevention and treatment of diabetes were obtained, including the known disease targets (PLCD1, PIK3R1, ENPP1), and potential herb targets(GNB1, ADCY1, AKT1, RAC1, PRKAA1, RHOA) , common target (GCK). There were seven similar targets in the 10 crucial core targets predicted with the combination of "Ophiopogonis Radix, Coptidis Rhizoma and Trichosanthis Radix", including PLCD1, PIK3R1, ENPP1, ADCY1, AKT1, PRKAA1, GCK. These genes were mainly located in the cytosol, plasma membrane, etc., involved in adenosine triphosphate binding, protein binding, platelet activation, etc., mainly involved in the endocrine system, signal transduction, chemokine signaling pathway, cancer pathway, and other metabolic pathways, and it is speculated that these genes were potentially associated with diabetes. In this study, Traditional Chinese Medicine Inheritance Support System and Integrative Pharmacology of Traditional Chinese Medicine are used to analyze the prescription law of Xiaoke prescription, and the correlation of "core herbs-functionary targets" is excavated, which provided the basis and reference for the screening and development of TCM prescriptions for the prevention and treatment of diabetes.

Authors+Show Affiliations

Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.School of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Jinzhong 030600, China. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

30453719

Citation

Wang, Bo, et al. "[Study On Relevance Mining of "core Drug Action Target" in Dictionary of Traditional Chinese Medicine Prescriptions]." Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, vol. 43, no. 19, 2018, pp. 3919-3926.
Wang B, Zhou RR, Tang SH. [Study on relevance mining of "core drug action target" in Dictionary of Traditional Chinese Medicine Prescriptions]. Zhongguo Zhong Yao Za Zhi. 2018;43(19):3919-3926.
Wang, B., Zhou, R. R., & Tang, S. H. (2018). [Study on relevance mining of "core drug action target" in Dictionary of Traditional Chinese Medicine Prescriptions]. Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, 43(19), 3919-3926. https://doi.org/10.19540/j.cnki.cjcmm.20180710.002
Wang B, Zhou RR, Tang SH. [Study On Relevance Mining of "core Drug Action Target" in Dictionary of Traditional Chinese Medicine Prescriptions]. Zhongguo Zhong Yao Za Zhi. 2018;43(19):3919-3926. PubMed PMID: 30453719.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Study on relevance mining of "core drug action target" in Dictionary of Traditional Chinese Medicine Prescriptions]. AU - Wang,Bo, AU - Zhou,Rong-Rong, AU - Tang,Shi-Huan, PY - 2018/06/21/received PY - 2018/11/21/entrez PY - 2018/11/21/pubmed PY - 2019/7/28/medline KW - Dictionary of Traditional Chinese Medicine Prescriptions KW - Xiaoke disease KW - core herbs KW - functionary targets KW - integrative pharmacology KW - traditional Chinese medicine inheritance support system SP - 3919 EP - 3926 JF - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica JO - Zhongguo Zhong Yao Za Zhi VL - 43 IS - 19 N2 - Based on the database of "Dictionary of Traditional Chinese Medicine Prescriptions", high-frequency herbs of Xiaoke disease is mined by traditional Chinese medicine inheritance support system, and core herbs and combinations are discovered through association rules and cluster analysis. On this basis, based on the integrative pharmacology of traditional Chinese medicine to explore the herb-disease relationship, the "herb-compound-target" network is constructed and enriched for the analysis of key target gene functions, metabolic pathways, and their "core herb-target interactions". In order to explore the molecular mechanism of its prevention and treatment of diabetes, 341 diabetes prescriptions are collected, organized, and tapped in the Dictionary of Traditional Chinese Medicine Prescriptions. Herb frequency statistics show that Licorice was the most commonly used, followed by Ophiopogonis Radix, Poria, Ginseng Radix et Rhizoma, Coptidis Rhizoma, etc., the medicinal properties are mostly cold, warm and ping, and the medicinal taste tends to be pungent, bitter, and sour, and they were attributed to lung meridian, stomach meridian, spleen meridian, etc. Among them, the 17 herbs were closely related. Ginseng Radix et Rhizoma, Ophiopogonis Radix, Poria and Glycyrrhizae Radix et Rhizoma were the core Chinese herbs. Ophiopogonis Radix was the key node of Coptidis Rhizoma, Trichosanthis Radix and core Chinese medicine, and Ophiopogonis Radix was the key node for the connection between Coptidis Rhizoma and Trichosanthis Radix and the core Chinese herbs. Using integrated pharmacology platform analysis, 10 crucial core targets for the prevention and treatment of diabetes were obtained, including the known disease targets (PLCD1, PIK3R1, ENPP1), and potential herb targets(GNB1, ADCY1, AKT1, RAC1, PRKAA1, RHOA) , common target (GCK). There were seven similar targets in the 10 crucial core targets predicted with the combination of "Ophiopogonis Radix, Coptidis Rhizoma and Trichosanthis Radix", including PLCD1, PIK3R1, ENPP1, ADCY1, AKT1, PRKAA1, GCK. These genes were mainly located in the cytosol, plasma membrane, etc., involved in adenosine triphosphate binding, protein binding, platelet activation, etc., mainly involved in the endocrine system, signal transduction, chemokine signaling pathway, cancer pathway, and other metabolic pathways, and it is speculated that these genes were potentially associated with diabetes. In this study, Traditional Chinese Medicine Inheritance Support System and Integrative Pharmacology of Traditional Chinese Medicine are used to analyze the prescription law of Xiaoke prescription, and the correlation of "core herbs-functionary targets" is excavated, which provided the basis and reference for the screening and development of TCM prescriptions for the prevention and treatment of diabetes. SN - 1001-5302 UR - https://www.unboundmedicine.com/medline/citation/30453719/[Study_on_relevance_mining_of_"core_drug_action_target"_in_Dictionary_of_Traditional_Chinese_Medicine_Prescriptions]_ L2 - https://antibodies.cancer.gov/detail/CPTC-RAC1-1 DB - PRIME DP - Unbound Medicine ER -