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基于网络药理学视角的 DR 患者中医药治疗预后效果研究。

Study on the Prognosis Effect of Traditional Chinese Medicine Treatment in DR Patients Based on the Perspective of Network Pharmacology.

机构信息

Shandong University of Traditional Chinese Medicine, Jinan 250355, China.

Weihai Hospital of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.

出版信息

Contrast Media Mol Imaging. 2022 Jul 19;2022:3528732. doi: 10.1155/2022/3528732. eCollection 2022.

Abstract

Diabetes damages the eye in many ways, but the most common eye complication is retinopathy. Of the 246 million people with diabetes worldwide, about 30% will be at risk of developing diabetic retinopathy. In addition to impairing vision, the presence of diabetic retinopathy also means an increased risk of life-threatening systemic vascular complications. To prevent the occurrence and development of diabetic retinopathy, the research and development of new drugs for diabetic retinopathy is the primary task. Because of its characteristics of holistic view and dialectical view, traditional Chinese medicine has a good effect in the treatment of complex diseases. However, due to the characteristics of complex components, numerous targets, and synergistic effects that are important, and its compound prescriptions, the modernization of traditional Chinese medicine has been hindered. The rise of network pharmacology in recent years provides a good opportunity for the development of traditional Chinese medicine. Network pharmacology aims to explore the relationship between drugs and diseases from a holistic perspective, discover drug targets, and guide the development of new drugs. In terms of methodology, network pharmacology has the characteristics of integrity and systematicness, which just coincides with the principle of consultation in traditional Chinese medicine. In this paper, from the perspective of the application of traditional Chinese medicine, TCMSP software was used to retrieve the active ingredients in traditional Chinese medicine, and the corresponding targets of the active ingredients were obtained. We then performed GO annotation analysis and KEGG pathway analysis on the targets using DAVID software. We further used Cytoscape software to build an active ingredient-target-pathway network model. Through network pharmacology research, it has been shown that Fufang Xueshuantong may treat diabetic retinopathy through multiple pathways such as intravascular growth factor signaling pathway, mitogen-activated protein kinase signaling pathway, and Toll sample receptor signaling pathway, reflecting the multicomponent traditional Chinese medicine compound and multitarget and multichannel characteristics. The research in this paper provides a theoretical basis for the pharmacological mechanism of traditional Chinese medicine in the treatment of diabetic retinopathy.

摘要

糖尿病通过多种方式损害眼睛,但最常见的眼部并发症是视网膜病变。在全球 2.46 亿糖尿病患者中,约有 30%存在发生糖尿病视网膜病变的风险。除了损害视力外,糖尿病视网膜病变的存在也意味着发生威胁生命的全身血管并发症的风险增加。为了预防糖尿病视网膜病变的发生和发展,研发治疗糖尿病视网膜病变的新药是首要任务。由于整体观和辩证观的特点,中医药在治疗复杂疾病方面具有良好的效果。然而,由于其成分复杂、靶点众多、协同作用重要,以及其复方处方,中医药的现代化受到了阻碍。近年来网络药理学的兴起为中医药的发展提供了良好的契机。网络药理学旨在从整体角度探索药物与疾病之间的关系,发现药物靶点,指导新药的开发。在方法学方面,网络药理学具有整体性和系统性的特点,这正好与中医的咨询原则相吻合。本文从中医药应用的角度,利用 TCMSP 软件检索中药的活性成分,并获得活性成分的相应靶点。然后我们使用 DAVID 软件对靶点进行 GO 注释分析和 KEGG 通路分析。我们进一步使用 Cytoscape 软件构建了一个活性成分-靶点-通路网络模型。通过网络药理学研究表明,复方血栓通可能通过血管内生长因子信号通路、丝裂原激活蛋白激酶信号通路和 Toll 样受体信号通路等多种途径治疗糖尿病视网膜病变,反映了中药多成分复方、多靶点、多通道的特点。本文的研究为中医药治疗糖尿病视网膜病变的药理机制提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99d9/9375695/9ef30a0785aa/CMMI2022-3528732.001.jpg

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