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基于网络药理学的阿尔茨海默病合并 2 型糖尿病的中药组方筛选

Screening Traditional Chinese Medicine Combination for Cotreatment of Alzheimer's Disease and Type 2 Diabetes Mellitus by Network Pharmacology.

机构信息

Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, People's Republic of China.

Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, People's Republic of China.

出版信息

J Alzheimers Dis. 2021;80(2):787-797. doi: 10.3233/JAD-201336.

Abstract

BACKGROUND

In recent years, the efficacy of type 2 diabetes mellitus (T2DM) drugs in the treatment of Alzheimer's disease (AD) has attracted extensive interest owing to the close associations between the two diseases.

OBJECTIVE

Here, we screened traditional Chinese medicine (TCM) and multi-target ingredients that may have potential therapeutic effects on both T2DM and AD from T2DM prescriptions.

METHODS

Network pharmacology and molecular docking were used.

RESULTS

Firstly, the top 10 frequently used herbs and corresponding 275 active ingredients were identified from 263 T2DM-related TCM prescriptions. Secondly, through the comparative analysis of 208 potential targets of ingredients, 1,740 T2DM-related targets, and 2,060 AD-related targets, 61 common targets were identified to be shared. Thirdly, by constructing pharmacological network, 26 key targets and 154 representative ingredients were identified. Further enrichment analysis showed that common targets were involved in regulating multiple pathways related to T2DM and AD, while network analysis also found that the combination of Danshen (Radix Salviae)-Gancao (Licorice)-Shanyao (Rhizoma Dioscoreae) contained the vast majority of the representative ingredients and might be potential for the cotreatment of the two diseases. Fourthly, MAPK1, PPARG, GSK3B, BACE1, and NR3C1 were selected as potential targets for virtual screening of multi-target ingredients. Further docking studies showed that multiple natural compounds, including salvianolic acid J, gancaonin H, gadelaidic acid, icos-5-enoic acid, and sigmoidin-B, exhibited high binding affinities with the five targets.

CONCLUSION

To summarize, the present study provides a potential TCM combination that might possess the potential advantage of cotreatment of AD and T2DM.

摘要

背景

近年来,2 型糖尿病(T2DM)药物在阿尔茨海默病(AD)治疗中的疗效引起了广泛关注,因为这两种疾病密切相关。

目的

本文从 T2DM 方剂中筛选出可能对 T2DM 和 AD 均具有潜在治疗作用的中药(TCM)和多靶点成分。

方法

采用网络药理学和分子对接。

结果

首先,从 263 份 T2DM 相关 TCM 方剂中鉴定出 10 种常用中药和相应的 275 种活性成分。其次,通过对 275 种成分的 208 个潜在靶点、1740 个 T2DM 相关靶点和 2060 个 AD 相关靶点进行对比分析,确定了 61 个共同靶点。再次,通过构建药理学网络,鉴定出 26 个关键靶点和 154 种代表性成分。进一步的富集分析表明,共同靶点参与调节与 T2DM 和 AD 相关的多种途径,而网络分析还发现丹参(丹参)-甘草(甘草)-山药(山药)的组合包含了绝大多数代表性成分,可能是两种疾病联合治疗的潜在药物。第四,选择 MAPK1、PPARG、GSK3B、BACE1 和 NR3C1 作为多靶点成分虚拟筛选的潜在靶点。进一步的对接研究表明,包括丹酚酸 J、甘草素 H、甘草次酸、icos-5-enoic acid 和 sigmoidin-B 在内的多种天然化合物与这 5 个靶点具有较高的结合亲和力。

结论

综上所述,本研究为具有联合治疗 AD 和 T2DM 潜在优势的潜在 TCM 组合提供了依据。

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