Xiaohui Lin, Min Bao, Xiaohui Zhang, Sa Qirula, Chenxu Jiao, Dingyi Zhang, Jing Han
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Finally, molecular docking and vitro experiments were applied to validate our results.</p><p><strong>Results: </strong>A total of 34 potential targets of HQ against DR were obtained. Based on PPI network, VEGFA, PTGS2, Interleukin-6 (IL-6), and CCL2 were considered as core targets. GO analysis involved 692 biological processes, 21 cellular components, and 35 molecular functions. KEGG enrichment analysis manifested that the anti-DR effect of HQ was mainly mediated via the AGE-RAGE signaling pathway in diabetic complications. The molecular docking results indicated that kaempferol had higher affinity with CCL2, IL-6, VEGFA, and PTGS2. The vitro experiments showed that the mRNA expressions of CCL2, IL-6, VEGFA, and PTGS2 in ARPE-19 cells were differentially decreased after kaempferol treatment.</p><p><strong>Conclusion: </strong>This study preliminarily unveiled that the therapeutic efficacy of HQ against DR might be attributed to the reduced expression of CCL2, IL-6, VEGFA, and PTGS2.</p>","PeriodicalId":94115,"journal":{"name":"Journal of the Chinese Medical Association : JCMA","volume":" ","pages":"789-798"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the bioactive ingredients and mechanism of Huangqi against diabetic retinopathy based on network pharmacology and experimental verification.\",\"authors\":\"Xiaohui Lin, Min Bao, Xiaohui Zhang, Sa Qirula, Chenxu Jiao, Dingyi Zhang, Jing Han\",\"doi\":\"10.1097/JCMA.0000000000001113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Diabetic retinopathy (DR) is one of the most well-known microvascular complications of diabetes mellitus. As a traditional Chinese medicine, Huangqi (HQ), has been used for treating DR for a long time. However, its anti-DR active ingredients and mechanism are still unknown. Therefore, we designed this study to explore the active components and mechanism of HQ against DR via network pharmacology analysis.</p><p><strong>Methods: </strong>The ingredients of HQ, and potential targets of HQ and DR were obtained from public databases. We used the protein-protein interaction (PPI) network, Kyoto Encyclopedia of Genes and Genomes (KEGGs) pathway enrichment, and Gene Ontology (GO) analysis to identify core targets and pathways of HQ against DR. Finally, molecular docking and vitro experiments were applied to validate our results.</p><p><strong>Results: </strong>A total of 34 potential targets of HQ against DR were obtained. Based on PPI network, VEGFA, PTGS2, Interleukin-6 (IL-6), and CCL2 were considered as core targets. GO analysis involved 692 biological processes, 21 cellular components, and 35 molecular functions. KEGG enrichment analysis manifested that the anti-DR effect of HQ was mainly mediated via the AGE-RAGE signaling pathway in diabetic complications. The molecular docking results indicated that kaempferol had higher affinity with CCL2, IL-6, VEGFA, and PTGS2. 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引用次数: 0
摘要
背景:糖尿病视网膜病变(DR)是众所周知的糖尿病微血管并发症之一。黄芪作为一种传统中药,长期以来一直被用于治疗糖尿病视网膜病变。然而,其抗糖尿病并发症的有效成分和机制仍不清楚。因此,我们设计了这项研究,通过网络药理学分析探讨黄芪抗糖尿病的有效成分和机制:方法:从公共数据库中获取 HQ 的成分、HQ 和 DR 的潜在靶点。我们利用蛋白质-蛋白质相互作用(PPI)网络、京都基因和基因组百科全书(KEGG)通路富集和基因本体(GO)分析来确定 HQ 抗 DR 的核心靶点和通路。最后,应用分子对接和体外实验验证了我们的结果:结果:共获得了 34 个 HQ 抗 DR 的潜在靶点。根据 PPI 网络,VEGFA、PTGS2、IL6 和 CCL2 被认为是核心靶点。GO 分析涉及 692 个生物过程、21 个细胞成分和 35 个分子功能。KEGG富集分析表明,HQ的抗DR作用主要是通过糖尿病并发症中的AGE-RAGE信号通路介导的。分子对接结果表明,山奈酚与CCL2、IL-6、VEGFA和PTGS2具有更高的亲和力。体外实验表明,山奈酚处理后,ARPE-19细胞中CCL2、IL-6、VEGFA和PTGS2的mRNA表达均有不同程度的下降:本研究初步揭示了 HQ 对 DR 的疗效可能归因于降低了 CCL2、IL-6、VEGFA 和 PTGS2 的表达。
Study on the bioactive ingredients and mechanism of Huangqi against diabetic retinopathy based on network pharmacology and experimental verification.
Background: Diabetic retinopathy (DR) is one of the most well-known microvascular complications of diabetes mellitus. As a traditional Chinese medicine, Huangqi (HQ), has been used for treating DR for a long time. However, its anti-DR active ingredients and mechanism are still unknown. Therefore, we designed this study to explore the active components and mechanism of HQ against DR via network pharmacology analysis.
Methods: The ingredients of HQ, and potential targets of HQ and DR were obtained from public databases. We used the protein-protein interaction (PPI) network, Kyoto Encyclopedia of Genes and Genomes (KEGGs) pathway enrichment, and Gene Ontology (GO) analysis to identify core targets and pathways of HQ against DR. Finally, molecular docking and vitro experiments were applied to validate our results.
Results: A total of 34 potential targets of HQ against DR were obtained. Based on PPI network, VEGFA, PTGS2, Interleukin-6 (IL-6), and CCL2 were considered as core targets. GO analysis involved 692 biological processes, 21 cellular components, and 35 molecular functions. KEGG enrichment analysis manifested that the anti-DR effect of HQ was mainly mediated via the AGE-RAGE signaling pathway in diabetic complications. The molecular docking results indicated that kaempferol had higher affinity with CCL2, IL-6, VEGFA, and PTGS2. The vitro experiments showed that the mRNA expressions of CCL2, IL-6, VEGFA, and PTGS2 in ARPE-19 cells were differentially decreased after kaempferol treatment.
Conclusion: This study preliminarily unveiled that the therapeutic efficacy of HQ against DR might be attributed to the reduced expression of CCL2, IL-6, VEGFA, and PTGS2.