目的:探究马铃薯影响高血压的活性成分和可能作用机制。方法:在知网、万方、维普、TCMSP、PubChem、HERB、DisGeNET等数据库检索马铃薯的潜在活性成分、靶点以及高血压相关靶点。将交集靶点导入STRING和Cytoscape3.10.3软件中进行分析,并利用CytoHCA、CytoHubba和MCODE插件挖掘马铃薯影响高血压的核心基因。应用DAVID数据库进行GO和KEGG富集剖析,利用Auto Dock Tools-1.5.6和PyMOL软件进行分子对接和可视化分析。结果:得到马铃薯活性成分15个,化合物预测靶点578个,高血压靶点2687个,马铃薯活性成分和高血压交集靶点299个。拓扑学分析后得到9个马铃薯影响高血压的核心靶点蛋白。GO和KEGG富集分析显示涉及多个生物过程、细胞组分和分子功能。关键信号通路包含GAPDH、MTOR、HIF1A、BCL2、AKT1和STAT3等。核心活性成分包括天竺葵色素(Pelargonidin)、矢车菊色素(Cyanidin)、芍药色素(Peonidin)、飞燕草色素(Delphinidin)和牵牛花色素(Petunidin)。分子对接结果提示活性成分与作用靶点能稳定结合,特别是GAPDH、MTOR和HIF1A与5种活性成分的结合能都很低,提示马铃薯活性成分有可能通过调节相关信号通路影响高血压。结论:本研究通过网络药理学分析和分子对接发现了马铃薯影响高血压的关键活性成分和核心作用靶点,花色苷对GAPDH和mTOR等靶点的调节值得深入研究。Objective: To explore the active ingredients and possible mechanisms of potatoes regulating hypertension. Method: Retrieve potential active ingredients, targets, and hypertension related targets of potatoes from databases such as CNKI, Wanfang, VIP, TCMSP, PubChem, HERB, and DisGeNET. Import the intersection targets into STRING and Cytoscape3.10.3 software for analysis, and use CytoHCA, CytoHubba, and MCODE plugins to explore the core genes for potato affecting hypertension. Perform GO and KEGG enrichment analysis using DAVID database, and perform molecular docking and visualization analysis using Auto Dock Tools-1.5.6 and PyMOL software. Results: 15 active ingredients were obtained for potatoes, 578 predicted targets for bioactive compounds, 2687 targets for hypertension, and 299 intersecting targets between potato active ingredients and hypertension. After topological analysis, 9 core target proteins affecting hypertension in potatoes were identified. GO and KEGG enrichment analysis showed involvement in multiple biological processes, cellular components, and molecular functions. The key signaling pathways include GAPDH, MTOR, HIF1A, BCL2, AKT1, and STAT3. The core active ingredients include Pelargonidin, Cyanidin, Peonidin, Delphinidin, and Petunidin. The molecular docking results indicate that the active ingredients ca
背景:大豆制品与痛风之间的因果关系尚未从遗传角度阐明。目的:本研究旨在通过双向两样本孟德尔随机化(MR)方法,探讨三种大豆制品(豆腐、豆浆和大豆甜点)摄入与痛风之间的遗传关联。方法:从已知的全基因组关联研究综合数据库中提取大豆制品相关单核苷酸多态性位点作为工具变量。RStudio中的TwoSampleMR软件包用于对大豆制品和痛风进行双向MR分析。MR分析使用了五种不同的方法:逆方差加权、MR-Egger回归、加权中值、简单模式和加权模式。使用异质性函数进行异质性检验,并通过MR Egger截距检验评估水平多效性。使用留一法进行敏感性分析,以验证结果的稳健性。结果:五种MR分析方法产生的P值均大于0.05。敏感性分析表明,既没有异质性也没有多效性,留一法分析结果表明,去除任何单个SNP都不会显著影响结果。结论:大豆制品摄入与痛风风险之间没有遗传关联。Background: The causal relationship between soy products and gout has not yet been clarified from a genetic perspective. Objective: This study aimed to explore the genetic association between three types of soy products (tofu, soya milk, and soya dessert) intake and gout, using a bidirectional two-sample Mendelian randomization (MR) approach. Methods: Soy product-related single nucleotide polymorphism loci were extracted as instrumental variables from the comprehensive database of known genome-wide association studies. The TwoSampleMR package in RStudio was used to carry out bidirectional MR analysis for soy products and gout. Five different methods were used for the MR analysis: inverse variance weighted, MR Egger regression, weighted median, simple mode, and weighted mode. Heterogeneity tests were conducted using the heterogeneity function, and horizontal pleiotropy was assessed by the MR-Egger intercept test. Sensitivity analysis was performed using the leave-one-out method to validate the robustness of the results. Results: The P-values generated by the five methods of MR analysis were all greater than 0.05. Sensitivity analysis indicated neither heterogeneity nor pleiotropy, and the leave-one-out method showed that removing any single SNP did not significantly affect the results. Conclusion: No genetic association was found between soy products intake and the risk of gout.
环境营养学作为一门新兴学科,在实现人类健康与可持续发展方面具有重要的作用。本文综述了环境营养学领域的最新研究进展,系统回顾了食品生产技术和管理改进、食品损耗与废弃物管理以及饮食习惯与消费模式的改变等环境营养学相关研究成果,展望了环境营养学未来研究方向,旨在为相关政策制定和实践提供理论指导。Environmental nutrition, as an emerging discipline, plays an important role in achieving human health and sustainable development. This article summarizes the latest research progress in the field of environmental nutrition, systematically reviews the research results related to environmental nutrition, such as food production technology and management improvement, food loss and waste management, and changes in dietary habits and consumption patterns. It also looks forward to the future research directions of environmental nutrition, aiming to provide theoretical guidance for relevant policy formulation and practice.
目的:探讨银耳改善便秘的潜在活性成分和可能的作用机制。方法:在知网、万方、维普、TCMSP、PubChem、HERB、DisGeNET等数据库检索银耳和木耳潜在活性成分、靶点以及便秘相关靶点。将交集靶点导入STRING和Cytoscape3.10.3软件中进行分析,并利用CytoHCA、CytoHubba和MCODE插件挖掘银耳改善便秘的核心基因。应用DAVID数据库进行GO和KEGG富集剖析,利用Auto Dock Tools-1.5.6和PyMOL软件进行分子对接和可视化分析。结果:得到银耳和木耳活性成分23个,化合物预测靶点402个,便秘靶点7804个,银耳活性成分和便秘交集靶点305个。拓扑学分析后得到10个改善便秘的核心靶点蛋白。GO和KEGG富集分析显示涉及多个生物过程、细胞组分和分子功能。关键信号通路包含AKT1、STAT3、IL6和TNF等。分子对接结果提示活性成分与作用靶点结合效果良好,特别是槲皮素和野黄芩素与AKT1的结合能很低,提示槲皮素和野黄芩素有可能通过调节蛋白激酶B相关信号通路改善便秘。结论:本研究通过网络药理学分析和分子对接发现了银耳多糖之外的重要活性成分,包括榈油酸、槲皮素、野黄芩素、顺式-13-十八碳烯酸和油酸等,这些活性成分可能通过调节STAT3、GAPDH、BCL2、IL6、TP53、TNF、EGFR、AKT1、ESR1和MMP9等靶点改善便秘。这些潜在活性成分和靶点在过去的相关研究中涉及较少,值得深入研究。Objective: To explore the potential active ingredients and possible mechanisms of Tremella fuciformis in improving constipation. Method: Search for potential active ingredients, targets, and constipation related targets of Tremella fuciformis and Auricularia auricula in databases such as CNKI, Wanfang, CQVIP, TCMSP, PubChem, HERB, and DisGeNET. We import the intersection targets into STRING and Cytoscape 3.10.3 software for analysis, and use Cytohuba plugin to explore the core genes that improve constipation in Tremella fuciformis, perform GO and KEGG enrichment analysis using DAVID database, and perform molecular docking and visualization analysis using Auto Dock Tools-1.5.6 and PyMOL software. Results: The results showed that there were 23 active ingredients in Tremella fuciformis and Auricularia auricula, 402 predicted targets for compounds, 7804 targets for constipation, and 305 intersecting targets between Tremella fuciformis active ingredients and constipation. After topological analysis, 10 core target proteins for constipation improvement were obtained. GO and KEGG enrichment analysis showed involvement in multiple biological processes, cellular components, and molecular functions. The key signaling pathways include AKT1, STAT3, IL6, and TNF. The molecular docking results indicate that the active ingredients have a good binding effect wi
目的:探讨楤木治疗痛风的潜在活性成分和可能的作用机制。方法:在知网、万方、TCMSP、PubChem、DisGeNET等数据库检索楤木潜在活性成分、靶点以及痛风相关靶点。将交集靶点导入STRING和Cytoscape3.9.1软件中进行分析,并利用Cytohubba插件挖掘楤木治疗痛风的核心基因。应用DAVID数据库进行GO和KEGG富集剖析,利用Auto Dock Tools-1.5.6和PyMOL软件进行分子对接和可视化分析。结果:得到楤木活性成分109个,化合物预测靶点475个,交集靶点33个。拓扑学分析后得到9个治疗痛风的核心靶点。GO和KEGG富集分析显示涉及多个生物过程、细胞组分和分子功能。关键信号通路包含IL-17、Rap1、VEGF和TNF等。分子对接均呈现较好的结合活性。结论:楤木治疗痛风具有“多靶点、多成分、多通路”的特点,为后续进一步实验研究提供了理论基础。Objective: To explore the potential active ingredients of Aralia chinensis in the treatment of gout and the possible mechanism of action. Methods: The potential active ingredients, targets and gout related targets of Aralia chinensis were searched in knowledge network, Wanfang, TCMSP, PubChem, DisGeNET and other databases. The intersection targets were imported into STRING and Cytoscape3.9.1 software for analysis, and the core genes of Aralia chinensis in the treatment of gout were discovered by Cytohubba plug-in. GO and KEGG enrichment were analyzed using DAVID database, and molecular docking and visual analysis were performed using Auto Dock Tools-1.5.6 and PyMOL software. Results: 109 active components, 475 predicted targets and 33 intersection targets of Aralia chinensis were obtained. After topological analysis, 9 core targets for the treatment of gout were obtained. GO and KEGG enrichment analyses showed that multiple biological processes, cell components and molecular functions were involved. Key signaling pathways include IL-17, Rap1, VEGF and TNF. The molecular docking showed good binding activity. Conclusion: Aralia chinensis has the characteristics of “multi-target, multi-component and multi-pathway” in the treatment of gout, which provides a theoretical basis for further experimental research.
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