BACKGROUND M1 polarization of macrophages is an important pathological process in myocardial ischemia reperfusion injury, which is the major obstacle for the treatment of acute myocardial infarction. Currently, the st...BACKGROUND M1 polarization of macrophages is an important pathological process in myocardial ischemia reperfusion injury, which is the major obstacle for the treatment of acute myocardial infarction. Currently, the strategies and mechanisms of inhibiting M1 polarization are poorly explored. This study aims to investigate the role of soluble death receptor 5-Fc(s DR5-Fc) in regulating M1 polarization of macrophages under extreme conditions and explore the mechanisms from the aspect of glycolysis.METHODS Extreme conditions were induced in RAW264.7 cells. Real-time quantitative polymerase chain reaction and western blot were used to detect the expression of m RNA and proteins, respectively. Cell counting kit-8 was used to investigate the proliferation activity of cells. Expression levels of inflammatory cytokines were determined by enzyme-linked immunosorbent assay.RESULTS We found that s DR5-Fc rescues the proliferation of macrophages under extreme conditions, including nutrition deficiency, excessive peroxide, and ultraviolet irradiation. In addition, administration of s DR5-Fc inhibits the M1 polarization of macrophages induced by lipopolysaccharide(LPS) and interferon-gamma(IFN-γ), as the expression of M1 polarization markers CD86, CXC motif chemokine ligand 10, matrix metalloproteinase 9, and tumor necrosis factor-α, as well as the secretion of inflammatory factors interleukin(IL)-1β and IL-6, were significantly decreased. By further investigation of the mechanisms, the results showed that s DR5-Fc can recover the LPS and IFN-γ induced p H reduction, lactic acid elevation, and increased expression of hexokinase 2 and glucose transporter 1, which were markers of glycolysis in macrophages.CONCLUSIONS s DR5-Fc inhibits the M1 polarization of macrophages by blocking the glycolysis, which provides a new direction for the development of strategies in the treatment of myocardial ischemia reperfusion injury.展开更多
Objective To investigate management approach es and therapeutic ef fect of occipit al neuralgia.Method112patients were randomly divided into 2 groups,study group and control group,each havin g 10patients.Study group r...Objective To investigate management approach es and therapeutic ef fect of occipit al neuralgia.Method112patients were randomly divided into 2 groups,study group and control group,each havin g 10patients.Study group re ceived n erve block plus manual man-agement.Control group received manual mana gement alone.Result3～6months follow up was performed.R esults showed cure r ate of study group was higher compared with contr ol group(P <0.05).Numb ers of nerve block in study grou p was less than control group(P <0.01). Conclusion Nerve block plus manual management i s effective in treating occipita l neuralgia.展开更多
A new all-zero block determination rule was used to reduce the complexity of the AVS-M encoder. It reuses the sum of absolute difference of 4x4 block obtained from motion estimation or intra prediction as parameters s...A new all-zero block determination rule was used to reduce the complexity of the AVS-M encoder. It reuses the sum of absolute difference of 4x4 block obtained from motion estimation or intra prediction as parameters so that the determination threshold need to be computed only once when quantization parameter (QP) is invariable for given video sequence. This method avoids a lot of computation for transform, quantization, inverse transform, inverse quantization and block reconstruction. Simulation results showed that it can save about 20%～50% computation without any video quality degradation.展开更多
AGED,全称为ArGument Extractor with Definitions in FrameNet,是最近提出的一种框架语义角色标注(FSRL)模型。该模型以框架和框架元素的定义为模板,在整个训练语料上使用预训练语言模型进行编码,是一种基于论元查询的FSRL模型。然而,...AGED,全称为ArGument Extractor with Definitions in FrameNet,是最近提出的一种框架语义角色标注(FSRL)模型。该模型以框架和框架元素的定义为模板,在整个训练语料上使用预训练语言模型进行编码,是一种基于论元查询的FSRL模型。然而,随着语料规模和模型参数的日益增加,AGED模型的训练和超参数调优变得相当耗时,进而影响了AGED模型的训练和调优效率。为此,该文在训练阶段引入集成学习方法,在调优阶段引入正交设计方法,提出了基于正则化m×2交叉验证(m×2 BCV)的AGED集成模型。具体地,在训练阶段,该文引入m×2 BCV和众数投票结合的集成学习方法,在整个训练语料上使用m×2 BCV构造多组训练子集和验证子集;然后利用并行训练技术和AGED模型生成多个AGED子模型;最后利用众数投票方法集成这些子模型,构造性能更优的AGED集成模型。在调优阶段,使用正交设计方法,以最大化验证集上F_(1)值为优化目标,从AGED集成模型的大量超参数组合中选出一部分具有代表性的超参数组合进行调优。实验结果表明,与AGED模型相比,提出的AGED集成模型在测试集上的F_(1)值可以提高1.34百分点,且训练时间仅占AGED模型的0.79倍,这充分验证了AGED集成模型的有效性。此外,该文也开展了消融实验,验证了AGED集成模型中引入的集成学习方法和正交设计方法的有效性。展开更多
基金supported by the National Natural Science Foundation of Beijing, China (No.7212027 & No.7214223)National Key Research and Development Program of China (2017YFC0908800)the Beijing Municipal Health Commission (PXM2020_026272_000002 & PXM2020_026272_000014)。
文摘BACKGROUND M1 polarization of macrophages is an important pathological process in myocardial ischemia reperfusion injury, which is the major obstacle for the treatment of acute myocardial infarction. Currently, the strategies and mechanisms of inhibiting M1 polarization are poorly explored. This study aims to investigate the role of soluble death receptor 5-Fc(s DR5-Fc) in regulating M1 polarization of macrophages under extreme conditions and explore the mechanisms from the aspect of glycolysis.METHODS Extreme conditions were induced in RAW264.7 cells. Real-time quantitative polymerase chain reaction and western blot were used to detect the expression of m RNA and proteins, respectively. Cell counting kit-8 was used to investigate the proliferation activity of cells. Expression levels of inflammatory cytokines were determined by enzyme-linked immunosorbent assay.RESULTS We found that s DR5-Fc rescues the proliferation of macrophages under extreme conditions, including nutrition deficiency, excessive peroxide, and ultraviolet irradiation. In addition, administration of s DR5-Fc inhibits the M1 polarization of macrophages induced by lipopolysaccharide(LPS) and interferon-gamma(IFN-γ), as the expression of M1 polarization markers CD86, CXC motif chemokine ligand 10, matrix metalloproteinase 9, and tumor necrosis factor-α, as well as the secretion of inflammatory factors interleukin(IL)-1β and IL-6, were significantly decreased. By further investigation of the mechanisms, the results showed that s DR5-Fc can recover the LPS and IFN-γ induced p H reduction, lactic acid elevation, and increased expression of hexokinase 2 and glucose transporter 1, which were markers of glycolysis in macrophages.CONCLUSIONS s DR5-Fc inhibits the M1 polarization of macrophages by blocking the glycolysis, which provides a new direction for the development of strategies in the treatment of myocardial ischemia reperfusion injury.
文摘Objective To investigate management approach es and therapeutic ef fect of occipit al neuralgia.Method112patients were randomly divided into 2 groups,study group and control group,each havin g 10patients.Study group re ceived n erve block plus manual man-agement.Control group received manual mana gement alone.Result3～6months follow up was performed.R esults showed cure r ate of study group was higher compared with contr ol group(P <0.05).Numb ers of nerve block in study grou p was less than control group(P <0.01). Conclusion Nerve block plus manual management i s effective in treating occipita l neuralgia.
基金Project (No. 05R214207) supported by the Sustentation Fund Plan for Post Doctor of Shanghai, China
文摘A new all-zero block determination rule was used to reduce the complexity of the AVS-M encoder. It reuses the sum of absolute difference of 4x4 block obtained from motion estimation or intra prediction as parameters so that the determination threshold need to be computed only once when quantization parameter (QP) is invariable for given video sequence. This method avoids a lot of computation for transform, quantization, inverse transform, inverse quantization and block reconstruction. Simulation results showed that it can save about 20%～50% computation without any video quality degradation.
文摘AGED,全称为ArGument Extractor with Definitions in FrameNet,是最近提出的一种框架语义角色标注(FSRL)模型。该模型以框架和框架元素的定义为模板,在整个训练语料上使用预训练语言模型进行编码,是一种基于论元查询的FSRL模型。然而,随着语料规模和模型参数的日益增加,AGED模型的训练和超参数调优变得相当耗时,进而影响了AGED模型的训练和调优效率。为此,该文在训练阶段引入集成学习方法,在调优阶段引入正交设计方法,提出了基于正则化m×2交叉验证(m×2 BCV)的AGED集成模型。具体地,在训练阶段,该文引入m×2 BCV和众数投票结合的集成学习方法,在整个训练语料上使用m×2 BCV构造多组训练子集和验证子集;然后利用并行训练技术和AGED模型生成多个AGED子模型;最后利用众数投票方法集成这些子模型,构造性能更优的AGED集成模型。在调优阶段,使用正交设计方法,以最大化验证集上F_(1)值为优化目标,从AGED集成模型的大量超参数组合中选出一部分具有代表性的超参数组合进行调优。实验结果表明,与AGED模型相比,提出的AGED集成模型在测试集上的F_(1)值可以提高1.34百分点,且训练时间仅占AGED模型的0.79倍,这充分验证了AGED集成模型的有效性。此外,该文也开展了消融实验,验证了AGED集成模型中引入的集成学习方法和正交设计方法的有效性。
