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Data mining of the prescription containing Codonopsis and study on the molecular mechanism of prevention and treatment of gastrointestinal disease
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Rong-rong ZHOU1, 4, Meng ZHANG2, Yan ZHU3, Wen-jing ZHOU1, Yan-wen LI3, Zhi-yong LI1, 4, 5, *
Acta Pharmaceutica Sinica | 2018, 53(9) : 1422 - 1428
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Acta Pharmaceutica Sinica | 2018, 53(9): 1422-1428
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Data mining of the prescription containing Codonopsis and study on the molecular mechanism of prevention and treatment of gastrointestinal disease
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Rong-rong ZHOU1, 4, Meng ZHANG2, Yan ZHU3, Wen-jing ZHOU1, Yan-wen LI3, Zhi-yong LI1, 4, 5, *
Affiliations
  • 1. School of Basic Medicine, Shanxi University of Chinese Medicine, Jinzhong 030600, China
  • 2. College of Traditional Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong 030600, China
  • 3. Institute of Information on Traditional Chinese Medicine of China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 4. School of Pharmacy, Minzu University of China, Beijing 100081, China
  • 5. Collaborative Innovation Center for the Development of New Chinese Medicine Resources in Yunnan, Kunming 650051, China
Published: 2018-09-15 doi: 10.16438/j.0513-4870.2018-0488
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The medication rules of high frequency herb-pairs containing Codonopsis pilosula (Dangshen) were analyzed with data mining tools, and the molecular mechanisms of these herb-pairs on the gastrointestinal diseases were predicted with the network pharmacology. The R language association rules were used to mine the high frequency herb-pairs from TCM formulae containing Dangshen, and these herb-pairs would be screened out, which satisfied the following requirements with support ≥ 0.3 and confidence ≥ 0.9 at the same time. Using the Integrated Pharmacology Platform of Traditional Chinese Medicine (TCMIP) to predict the key core targets of the high frequency herb-pairs, the network of Chinese medicine-compound-target-pathway related to Dangshen were built to explore the preventing and treating molecular mechanism on gastrointestinal diseases. At last, the relation of the main active components from Dangshen and its herbal pairs with target proteins were validated by Systems Dock Web Site. The 185 formulae were selected from 543 formulae containing Dangshen, and 6 herbal pairs with Dangshen, which includes Angelica (Danggui), Licorice (Gancao), Atractylodes macrocephala (Baizhu), Poria cocos (Fuling), dried tangerine peel (Chenpi) and Astragalus membranaceus (Huangqi), were discovered with Apriori algorithm. The combination of 6 herbal pairs is similar to Bu Zhong Yi Qi Decoction; 6 herbal pairs with Dangshen were related to the target of POMC, OPRM1, CCR9 and HTR2C in TCMIP. The known targets (HTR2C, POMC, OPRM1, CCR9, OPRD1) and potential drug-targets (GNB1, GCK, SDHD, SLC25A2, DHRS4) for gastrointestinal diseases were predicted about the high frequency pairs with Dangshen. The results of GO enrichment analysis showed that the biological function was mainly located in the mitochondria and myelin sheath, and involved in the biological processes of three carboxylic acid cycle, platelet activation, and aspartic acid metabolism. KEGG pathway enrichment analysis showed that the main metabolic pathways related with Dangshen pairs involved amino acid metabolism, energy metabolism and endocrine metabolism. The prediction results showed many targets of the frequency herbal pairs with Dangshen preventing and treating gastrointestinal diseases were related with nerve cells. These herbal pairs could prevent and treat the gastrointestinal diseases through the neuroendocrine system and the brain gut axis.

Codonopsis pilosula (Dangshen)  /  gastrointestinal disease  /  association rule  /  integrated pharmacology  /  molecular mechanism
Rong-rong ZHOU, Meng ZHANG, Yan ZHU, Wen-jing ZHOU, Yan-wen LI, Zhi-yong LI. Data mining of the prescription containing Codonopsis and study on the molecular mechanism of prevention and treatment of gastrointestinal disease[J]. Acta Pharmaceutica Sinica, 2018 , 53 (9) : 1422 -1428 . DOI: 10.16438/j.0513-4870.2018-0488
Year 2018 volume 53 Issue 9
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Article Info
doi: 10.16438/j.0513-4870.2018-0488
  • Receive Date:2018-05-25
  • Online Date:2026-01-15
  • Published:2018-09-15
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History
  • Received:2018-05-25
  • Revised:2018-07-04
Funding
Affiliations
    1. School of Basic Medicine, Shanxi University of Chinese Medicine, Jinzhong 030600, China
    2. College of Traditional Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong 030600, China
    3. Institute of Information on Traditional Chinese Medicine of China Academy of Chinese Medical Sciences, Beijing 100700, China
    4. School of Pharmacy, Minzu University of China, Beijing 100081, China
    5. Collaborative Innovation Center for the Development of New Chinese Medicine Resources in Yunnan, Kunming 650051, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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