Ovarian cancer poses a significant threat to women's health,necessitating effective therapeutic strategies.Emd-D,an emodin derivative,demonstrates enhanced pharmaceutical properties and bioavailability.In this stu...Ovarian cancer poses a significant threat to women's health,necessitating effective therapeutic strategies.Emd-D,an emodin derivative,demonstrates enhanced pharmaceutical properties and bioavailability.In this study,Cell Counting Kit 8(CCK8)assays and Ki-67 staining revealed dose-dependent inhibition of cell proliferation by Emd-D.Migration and invasion experiments confirmed its inhibitory effects on OVHM cells,while flow cytometry analysis demonstrated Emd-D-induced apoptosis.Mechanistic investigations elucidated that Emd-D functions as an inhibitor by directly binding to the glycolysis-related enzyme PFKFB4.This was corroborated by alterations in intracellular lactate and pyruvate levels,as well as glucose transporter 1(GLUT1)and hexokinase 2(HK2)expression.PFKFB4 overexpression experiments further supported the dependence of Emd-D on PFKFB4-mediated glycolysis and SRC3/mTORC1 pathway-associated apoptosis.In vivo experiments exhibited reduced xenograft tumor sizes upon Emd-D treatment,accompanied by suppressed glycolysis and increased expression of Bax/Bcl-2 apoptotic proteins within the tumors.In conclusion,our findings demonstrate Emd-D's potential as an anti-ovarian cancer agent through inhibition of the PFKFB4-dependent glycolysis pathway and induction of apoptosis.These results provide a foundation for further exploration of Emd-D as a promising drug candidate for ovarian cancer treatment.展开更多
图像融合是图像处理中的一个重要内容,常用的小波图像融合主要是基于像素级融合,这种方法容易失去局部特征相关性较强的特性,融合后会出现局部斑点现象.该文应用二维EMD方法在像素级也进行了讨论,并且针对EMD分解的特殊性,提出了一种用...图像融合是图像处理中的一个重要内容,常用的小波图像融合主要是基于像素级融合,这种方法容易失去局部特征相关性较强的特性,融合后会出现局部斑点现象.该文应用二维EMD方法在像素级也进行了讨论,并且针对EMD分解的特殊性,提出了一种用二维EMD(two-dimensional EMD)进行图像融合的方法,采用对IMF(intrinsic model function)分量在对应频率段上进行线性加权融合,提出了几种常用计算加权系数的方法.通过实验分析和性能评价表明,基于二维EMD的图像融合较小波图像融合效果较好,更能提取图像细节.展开更多
特征提取和健康状态的辨识是复杂系统健康状态评估中的关键问题。提出一种新的健康状态评估方法,该方法分为3个步骤:首先,采用经验模态分解(empirical model decomposition,EMD)和奇异值分解(singular value decomposition,SVD)来提取...特征提取和健康状态的辨识是复杂系统健康状态评估中的关键问题。提出一种新的健康状态评估方法,该方法分为3个步骤:首先,采用经验模态分解(empirical model decomposition,EMD)和奇异值分解(singular value decomposition,SVD)来提取振动信号的特征变量。然后,运用马田系统(Mahalanobis-Taguchi system,MTS)构造马氏空间,并对其进行优化,从而降低特征变量的维度。最后,提出了一种健康度(health index,HI)的概念,并且用来对复杂系统健康问题进行评估。该方法成功地应用在轴承的健康状态评估中。展开更多
基金funded by the Natural Science Foundation of Heilongjiang Province(No.LH2023H012)Postdoctoral Research Initiation Fund(No.LBH-Q20152)CAMS Innovation Fund for Medical Sciences(CIFMS,2019-I2M-5-078)。
文摘Ovarian cancer poses a significant threat to women's health,necessitating effective therapeutic strategies.Emd-D,an emodin derivative,demonstrates enhanced pharmaceutical properties and bioavailability.In this study,Cell Counting Kit 8(CCK8)assays and Ki-67 staining revealed dose-dependent inhibition of cell proliferation by Emd-D.Migration and invasion experiments confirmed its inhibitory effects on OVHM cells,while flow cytometry analysis demonstrated Emd-D-induced apoptosis.Mechanistic investigations elucidated that Emd-D functions as an inhibitor by directly binding to the glycolysis-related enzyme PFKFB4.This was corroborated by alterations in intracellular lactate and pyruvate levels,as well as glucose transporter 1(GLUT1)and hexokinase 2(HK2)expression.PFKFB4 overexpression experiments further supported the dependence of Emd-D on PFKFB4-mediated glycolysis and SRC3/mTORC1 pathway-associated apoptosis.In vivo experiments exhibited reduced xenograft tumor sizes upon Emd-D treatment,accompanied by suppressed glycolysis and increased expression of Bax/Bcl-2 apoptotic proteins within the tumors.In conclusion,our findings demonstrate Emd-D's potential as an anti-ovarian cancer agent through inhibition of the PFKFB4-dependent glycolysis pathway and induction of apoptosis.These results provide a foundation for further exploration of Emd-D as a promising drug candidate for ovarian cancer treatment.
文摘图像融合是图像处理中的一个重要内容,常用的小波图像融合主要是基于像素级融合,这种方法容易失去局部特征相关性较强的特性,融合后会出现局部斑点现象.该文应用二维EMD方法在像素级也进行了讨论,并且针对EMD分解的特殊性,提出了一种用二维EMD(two-dimensional EMD)进行图像融合的方法,采用对IMF(intrinsic model function)分量在对应频率段上进行线性加权融合,提出了几种常用计算加权系数的方法.通过实验分析和性能评价表明,基于二维EMD的图像融合较小波图像融合效果较好,更能提取图像细节.
文摘特征提取和健康状态的辨识是复杂系统健康状态评估中的关键问题。提出一种新的健康状态评估方法,该方法分为3个步骤:首先,采用经验模态分解(empirical model decomposition,EMD)和奇异值分解(singular value decomposition,SVD)来提取振动信号的特征变量。然后,运用马田系统(Mahalanobis-Taguchi system,MTS)构造马氏空间,并对其进行优化,从而降低特征变量的维度。最后,提出了一种健康度(health index,HI)的概念,并且用来对复杂系统健康问题进行评估。该方法成功地应用在轴承的健康状态评估中。
