We deal with the problem of pinning sampled-data synchronization for a complex network with probabilistic time-varying coupling delay. The sampling period considered here is assumed to be less than a given bound. With...We deal with the problem of pinning sampled-data synchronization for a complex network with probabilistic time-varying coupling delay. The sampling period considered here is assumed to be less than a given bound. Without using the Kronecker product, a new synchronization error system is constructed by using the property of the random variable and input delay approach. Based on the Lyapunov theory, a delay-dependent pinning sampled-data synchronization criterion is derived in terms of linear matrix inequalities （LMIs） that can be solved effectively by using MATLAB LMI toolbox. Numerical examples are provided to demonstrate the effectiveness of the proposed scheme.展开更多
OBJECTIVE To clarify the mecha⁃nism of Tou Tong Ning capsule(TTNC)and elu⁃cidate crosstalk between multi-components drug and trigeminal ganglia cells in migraine.METH⁃ODS We integrated single-cell RNA sequencing data ...OBJECTIVE To clarify the mecha⁃nism of Tou Tong Ning capsule(TTNC)and elu⁃cidate crosstalk between multi-components drug and trigeminal ganglia cells in migraine.METH⁃ODS We integrated single-cell RNA sequencing data and a quantitative evaluation algorithm of the disturbance of multi-target drugs on the dis⁃ease network to explore the specific pathology of TTNC for migraine.Cerebrovascular smooth muscle spasmolytic activity experiment was car⁃ried out to verify the results of bioinformatics analysis.RESULTS TTNC can effectively regu⁃late the functions of synaptic signaling,inflamma⁃tion and immune response,and cerebrovascular smooth muscle.For different cell subtypes of tri⁃geminal ganglia,TTNC can significantly disturb the robustness on neuronal cell networks and non-neural networks(fibroblast and vascular cells),indicating TTNC vasodilation activity of brain vessels and neural regulation activities of various neuro types.Contraction of cerebrovas⁃cular smooth muscle of mouse ex vivo confirmed the vasodilation activity of TTNC and active com⁃pounds(Emodin,Luteolin and Levistilide A).And literature mining confirmed the vasospasmolytic activity and neuroprotective effect activity of TTNC.CONCLUSIONS Integrating single-cell data and network disturbance tools provides a new strategy for the MoA of multi-components drug through cell subtyping.展开更多
目的基于网络药理学方法筛选抑瘤宁中治疗食管癌(Esophageal carcinoma,EC)的主要活性成分,预测活性成分的作用靶点,探讨其治疗EC的潜在作用机制。方法首先利用中药系统药理学数据库分析平台(Traditional Chinese Medicine Systems Phar...目的基于网络药理学方法筛选抑瘤宁中治疗食管癌(Esophageal carcinoma,EC)的主要活性成分,预测活性成分的作用靶点,探讨其治疗EC的潜在作用机制。方法首先利用中药系统药理学数据库分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)数据库、化学专业数据库及文献检索查找获取冬凌草、刺五加皮、龙葵和蛇莓的主要化学成分,通过GeneCards、OMIM及DRUGBANK数据库获取EC主要靶点,利用String平台进行蛋白质相互作用分析,构建蛋白互作网络(protein-protein interaction,PPI)并挖掘网络中潜在的蛋白质功能模块,利用R软件筛选抑瘤宁治疗EC的关键靶点,并对关键靶点进行GO功能富集分析、KEGG通路富集分析,得到抑瘤宁治疗EC参与的生物过程及潜在作用通路。结果抑瘤宁共筛选出27种有效活性成分,治疗EC的靶点158个,其中关键靶点30个,包括TP53、GAPDH、AKT、VEGFA、EGFR、MYC、ALB、VASP3、EGF等,靶点主要富集P13K-Akt信号通路、癌症信号通路、人巨细胞病毒感染信号通路、卡波西氏肉瘤相关疱疹病毒感染信号通路、乙肝信号通路、前列腺癌信号通路、内分泌抵抗信号通路等差异通路中,涉及细胞因子及细胞因子受体、转录因子等生物过程。结论抑瘤宁对EC的治疗作用体现了中药复方多成分、多靶点、多途径的特点,为阐释其治疗EC的作用机制与物质基础提供了科学依据。展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61203049 and 61303020)the Natural Science Foundation of Shanxi Province of China(Grant No.2013021018-3)the Doctoral Startup Foundation of Taiyuan University of Science and Technology,China(Grant No.20112010)
文摘We deal with the problem of pinning sampled-data synchronization for a complex network with probabilistic time-varying coupling delay. The sampling period considered here is assumed to be less than a given bound. Without using the Kronecker product, a new synchronization error system is constructed by using the property of the random variable and input delay approach. Based on the Lyapunov theory, a delay-dependent pinning sampled-data synchronization criterion is derived in terms of linear matrix inequalities （LMIs） that can be solved effectively by using MATLAB LMI toolbox. Numerical examples are provided to demonstrate the effectiveness of the proposed scheme.
基金CACMS Innovation Fund(CI2021A05041)the Fundamental Research Funds for the Central Public Welfare Research Institutes(ZZ13-YQ-048,ZXKT21008)。
文摘OBJECTIVE To clarify the mecha⁃nism of Tou Tong Ning capsule(TTNC)and elu⁃cidate crosstalk between multi-components drug and trigeminal ganglia cells in migraine.METH⁃ODS We integrated single-cell RNA sequencing data and a quantitative evaluation algorithm of the disturbance of multi-target drugs on the dis⁃ease network to explore the specific pathology of TTNC for migraine.Cerebrovascular smooth muscle spasmolytic activity experiment was car⁃ried out to verify the results of bioinformatics analysis.RESULTS TTNC can effectively regu⁃late the functions of synaptic signaling,inflamma⁃tion and immune response,and cerebrovascular smooth muscle.For different cell subtypes of tri⁃geminal ganglia,TTNC can significantly disturb the robustness on neuronal cell networks and non-neural networks(fibroblast and vascular cells),indicating TTNC vasodilation activity of brain vessels and neural regulation activities of various neuro types.Contraction of cerebrovas⁃cular smooth muscle of mouse ex vivo confirmed the vasodilation activity of TTNC and active com⁃pounds(Emodin,Luteolin and Levistilide A).And literature mining confirmed the vasospasmolytic activity and neuroprotective effect activity of TTNC.CONCLUSIONS Integrating single-cell data and network disturbance tools provides a new strategy for the MoA of multi-components drug through cell subtyping.
文摘目的基于网络药理学方法筛选抑瘤宁中治疗食管癌(Esophageal carcinoma,EC)的主要活性成分,预测活性成分的作用靶点,探讨其治疗EC的潜在作用机制。方法首先利用中药系统药理学数据库分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)数据库、化学专业数据库及文献检索查找获取冬凌草、刺五加皮、龙葵和蛇莓的主要化学成分,通过GeneCards、OMIM及DRUGBANK数据库获取EC主要靶点,利用String平台进行蛋白质相互作用分析,构建蛋白互作网络(protein-protein interaction,PPI)并挖掘网络中潜在的蛋白质功能模块,利用R软件筛选抑瘤宁治疗EC的关键靶点,并对关键靶点进行GO功能富集分析、KEGG通路富集分析,得到抑瘤宁治疗EC参与的生物过程及潜在作用通路。结果抑瘤宁共筛选出27种有效活性成分,治疗EC的靶点158个,其中关键靶点30个,包括TP53、GAPDH、AKT、VEGFA、EGFR、MYC、ALB、VASP3、EGF等,靶点主要富集P13K-Akt信号通路、癌症信号通路、人巨细胞病毒感染信号通路、卡波西氏肉瘤相关疱疹病毒感染信号通路、乙肝信号通路、前列腺癌信号通路、内分泌抵抗信号通路等差异通路中,涉及细胞因子及细胞因子受体、转录因子等生物过程。结论抑瘤宁对EC的治疗作用体现了中药复方多成分、多靶点、多途径的特点,为阐释其治疗EC的作用机制与物质基础提供了科学依据。
