Objective:To explore the potential mechanism of action of quercetin in the treatment of diarrhea irritable bowel syndrome(IBS-D).Methods:The potential targets of quercetin were obtained from the TCMSP,SwissTar-getPred...Objective:To explore the potential mechanism of action of quercetin in the treatment of diarrhea irritable bowel syndrome(IBS-D).Methods:The potential targets of quercetin were obtained from the TCMSP,SwissTar-getPrediction,and BATMAN-TCM databases.The targets of IBS-D were obtained by searching the GeneCards database with"diarrhea irritable bowel syndrome"as the keyword,and the targets of quercetin and IBS-D were intersected.The PPI network was constructed by Cytoscape 3.7.1 software.The intersected targets were imported into the DAVID database for GO functional analysis and KEGG pathway enrichment analysis.The binding ability of quercetin to the core targets was observed using molecular docking.Based on this,we established an IBS-D rat model,administered quercetin for intervention,and experimentally validated the network pharmacology prediction results by HE staining and ELISA assay.Results:Network pharmacology analysis showed that TP53,TNF-α,AKT1,VEGF-A,IL-6 factors and MAPK,PI3K-Akt signaling pathway as the core targets and pathways of quercetin for the treatment of IBS-D.The results of animal experiments revealed that quercetin could inhibit the secretion of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,reduce the inflammatory response and improve IBS-D.Conclusion:Quercetin could protect colon tissue by regulating the expression of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,thereby treating IBS-D.展开更多
GitHub社交平台是代码托管领域的主流平台,拥有超过7300万开发人员.评估GitHub社交网络中用户的影响力对开源成果的学习和应用有重要意义.针对PageRank算法及其改进方法在评估用户影响力时对用户交互行为与用户自身因素分析不全面的局限...GitHub社交平台是代码托管领域的主流平台,拥有超过7300万开发人员.评估GitHub社交网络中用户的影响力对开源成果的学习和应用有重要意义.针对PageRank算法及其改进方法在评估用户影响力时对用户交互行为与用户自身因素分析不全面的局限性,提出了一种引入用户行为权值分配策略的影响力计算方法CUIE(Comprehensive User Influence Evaluation)算法,将用户行为对其他用户影响力的贡献比例作为权值计算用户的CUIE值.基于真实数据的实验结果表明:将用户交互行为作为评价用户影响力分析的因素之一,能使模型获得更好的结果,与传统算法进行对比,在Top-500及以上的情况下,CUIE算法均取得最优的准确率和召回率.此方法能有效发现被传统方法忽略的部分核心用户,可作为传统方法的补充,在舆情分析与引导中也具有一定实用价值.展开更多
基金National Natural Science Foundation of China(No.82160890)Guangxi Health Appropriate Technology Development and Application Project(No.GZSY23-21)+1 种基金Graduate Education Innovation Project,Guangxi University of Traditional Chinese Medicine(No.YCSW2023383)Research Program of Guangxi University of Traditional Chinese Medicine(No.2019MS016)。
文摘Objective:To explore the potential mechanism of action of quercetin in the treatment of diarrhea irritable bowel syndrome(IBS-D).Methods:The potential targets of quercetin were obtained from the TCMSP,SwissTar-getPrediction,and BATMAN-TCM databases.The targets of IBS-D were obtained by searching the GeneCards database with"diarrhea irritable bowel syndrome"as the keyword,and the targets of quercetin and IBS-D were intersected.The PPI network was constructed by Cytoscape 3.7.1 software.The intersected targets were imported into the DAVID database for GO functional analysis and KEGG pathway enrichment analysis.The binding ability of quercetin to the core targets was observed using molecular docking.Based on this,we established an IBS-D rat model,administered quercetin for intervention,and experimentally validated the network pharmacology prediction results by HE staining and ELISA assay.Results:Network pharmacology analysis showed that TP53,TNF-α,AKT1,VEGF-A,IL-6 factors and MAPK,PI3K-Akt signaling pathway as the core targets and pathways of quercetin for the treatment of IBS-D.The results of animal experiments revealed that quercetin could inhibit the secretion of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,reduce the inflammatory response and improve IBS-D.Conclusion:Quercetin could protect colon tissue by regulating the expression of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,thereby treating IBS-D.
文摘GitHub社交平台是代码托管领域的主流平台,拥有超过7300万开发人员.评估GitHub社交网络中用户的影响力对开源成果的学习和应用有重要意义.针对PageRank算法及其改进方法在评估用户影响力时对用户交互行为与用户自身因素分析不全面的局限性,提出了一种引入用户行为权值分配策略的影响力计算方法CUIE(Comprehensive User Influence Evaluation)算法,将用户行为对其他用户影响力的贡献比例作为权值计算用户的CUIE值.基于真实数据的实验结果表明:将用户交互行为作为评价用户影响力分析的因素之一,能使模型获得更好的结果,与传统算法进行对比,在Top-500及以上的情况下,CUIE算法均取得最优的准确率和召回率.此方法能有效发现被传统方法忽略的部分核心用户,可作为传统方法的补充,在舆情分析与引导中也具有一定实用价值.
