Mechanisms and Medication Rules of Type 2 Diabetes Mellitus Based on Data Mining and Network Pharmacology

Ming BAI; Bao-song LIU; Meng-fan PENG; Tian-yuan LIU; Quan JIANG; Ming-san MIAO

doi:10.13422/j.cnki.syfjx.20190941

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Mechanisms and Medication Rules of Type 2 Diabetes Mellitus Based on Data Mining and Network Pharmacology

Data Mining | 更新时间：2021-02-09

- Mechanisms and Medication Rules of Type 2 Diabetes Mellitus Based on Data Mining and Network Pharmacology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 9, Pages: 182-188(2019)
- 作者机构：
  
  河南中医药大学，郑州　 450000
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20190941
  CLC： R28; R587.1
- Received：15 November 2018，
  
  Published Online：18 January 2019，
  
  Published：05 May 2019
- 稿件说明：
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Ming BAI, Bao-song LIU, Meng-fan PENG, et al. Mechanisms and Medication Rules of Type 2 Diabetes Mellitus Based on Data Mining and Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(9): 182-188.
DOI：

Ming BAI, Bao-song LIU, Meng-fan PENG, et al. Mechanisms and Medication Rules of Type 2 Diabetes Mellitus Based on Data Mining and Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(9): 182-188. DOI： 10.13422/j.cnki.syfjx.20190941.

摘要

目的：

挖掘中医药治疗2型糖尿病(T2DM)的组方用药规律，并探讨高频药物作用机制。

方法：

以中国知网、万方医学网收录的期刊文献为资料来源，使用Excel 2013，SPSS Modeler 14.1，SPSS Statistics 19.0软件，对纳入标准的中药进行关联规则分析、因子分析和系统聚类分析，使用BATMAN-TCM系统对高频药物进行京都基因与基因组百科全书(KEGG)通路分析，构建靶点-通路-疾病关联图，揭示潜在作用机制。

结果：

在纳入标准的92首方剂中，单药黄芪最为常见，药物四气以温、寒为主，五味中甘、苦味为主，归经中肝经居多，使用最多的药物类别为补虚药、活血化瘀药。关联规则分析中发现关联强度最高的药对组合为6种，因子分析中提取7个公因子，系统聚类分析中归为6大类。KEGG通路分析发现高频药物黄芪富集疾病与T2DM有关的有6种，生物学通路共有24条。

结论：

T2DM的治疗多以甘温药黄芪(补虚药)为主，临床使用可与甘平药茯苓、苦寒药丹参、甘寒药生地黄等组合用药，以及可随证配伍活血化瘀、清热等药物。高频药物黄芪治疗T2DM的作用机制可能是通过干预磷脂酰肌醇3激酶(PI3K)／蛋白激酶B(Akt)，淀粉和糖代谢等相关信号通路，作用于核苷酸外焦磷酸酶／磷酸二酯酶(PDEs)，腺苷A1受体基因1(ADORA1)，腺苷A2A受体基因(ADORA2)，神经肽第二受体(NPY2R)，内皮一氧化碳合成酶(NOS3)靶点有关。

Abstract

Objective:

To analyze the medication rules of traditional Chinese medicine (TCM) in treating type 2 diabetes mellitus(T2DM)

and explore the mechanism of action.

Method:

The articlesabout TCM treatment for T2DM in CNKI and Wanfang Med Online were retrieved. The data was entered into Excel 2013 to set up a database

and the factor analysis

association rules and cluster analysis were used to analyze core medication combinations by SPSS Statistics 19.0 and SPSS Modeler 14.1.kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis was performed using BATMAN-TCM to reveal the mechanism of action.

Result:

A total of 92 prescriptions were included

the high frequency medicines were Astragali Radix.The major properties of TCM were cold and plain.The major flavors of TCM were sweet and bitter. The major meridian tropism of TCM was livermeridian. These high frequency medicines were deficiency-nourishing herbs

and blood circulation-invigorating and stasis-eliminating herbs. Totally 6 core medication combinations were mined through association rules. Seven common factors were extracted from factor analysis. Clustering analysis was used to get 6 kinds of herbs.KEGG pathway analysis revealed 24 biological pathways and 6 diseases relating to T2DM.

Conclusion:

The most commonly used Astragali Radix for treating T2DM. In clinical

it can be combined with Poria

Salviae Miltiorrhizae Radix et Rhizoma and Rehmanniae Radix for treating T2DM. At the same time

it can be combined with such herbs as deficiency-nourishing herbs

and blood circulation-invigorating and stasis-eliminating herbs. The mechanism of action of high-frequency herbs may be related to the targets of exophosphatase/phosphodiesterase(PDEs)

adenosine A1 receptor gene 1(ADORA1)

adenosine A2A receptor gene(ADORA2A)

neuropetide second receptor(NPY2R)

and endothelial carbon monoxide synthase(NOS3) by interfering with PI3K/Akt

starch and sucrose metabolism signaling pathways.

关键词

Keywords

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