Objective:To investigate the mechanism of Fuyang Jiebiao granule(FYJBKL)in the treatment of viral pneumonia.Methods:Firstly,a network model was constructed using network pharmacology to study the target expression sit...Objective:To investigate the mechanism of Fuyang Jiebiao granule(FYJBKL)in the treatment of viral pneumonia.Methods:Firstly,a network model was constructed using network pharmacology to study the target expression sites of FYJBKL viral pneumonia,so as to determine the main targets and important signal transduction pathways for the treatment of viral pneumonia.Secondly,the main components of the drug and the main target are docked.Then,the fever,sweating and inflammation rat models were established to explore the antipyretic,sweating and anti-inflammatory mechanisms of FYJBKL.Finally,the contents of IL-17,IL-1β,TNF-αand IL-6 in blood samples of rats were analyzed by ELISA method,and the morphological changes of lung tissue were observed by HE staining.Results:Quercetin,luteolin,kaempferol,etc.,and the main mechanism targets are IL-17,IL-1β,TNF-α,IL-6 and so on.Thirty signal pathways were identified by KEGG enrichment analysis,including interleukin-17 signaling pathway(IL-17 signaling pathway),human cytomegalovirus infection pathway(human cytomegalovirus infection),Kaposi's sarcoma associated herpesvirus infection pathway(Kaposi's sarcoma-as-sociated herpesvirus infection)and so on.After the study of molecular docking,we found that the contact efficiency between active substances and possible key targets is good.The high and middle concentration groups of FYJBKL significantly decreased the expression of IL-17,IL-1β,TNF-αand IL-6 in the blood of rats with inflammation(P<0.05).FYJBKL significantly reduced the foot swelling induced by egg white and inhibited the increase of body temperature induced by yeast in rats(P<0.05).HE staining showed that FYJBKL improved pulmonary fibrosis and inflammatory exudation to varying degrees.Conclusion:The effects of FuyangJiebiao granules on the related signal pathways of anti-virus,anti-immune and anti-inflammation as well as biological and cellular processes may be caused by the binding of quercetin,luteolin,kaempferol and other active ingredients to their shared targets.Fuyang Jiebiao granules can improve the related symptoms caused by viral pneumonia,and its mechanism may be related to the activities of TNF,IL-17,IL-6 and other related channels,which are multiple targets of inflammation regulation.展开更多
在复杂的自然环境中绿色柑橘生长形态各异,颜色与背景色相近,为有效识别绿色柑橘,提出一种基于混合注意力机制并改进YOLOv5模型的柑橘识别方法。首先,改进YOLOv5的网络结构,在主干网络中添加混合注意力机制,即在主干网络中的第2层嵌入SE...在复杂的自然环境中绿色柑橘生长形态各异,颜色与背景色相近,为有效识别绿色柑橘,提出一种基于混合注意力机制并改进YOLOv5模型的柑橘识别方法。首先,改进YOLOv5的网络结构,在主干网络中添加混合注意力机制,即在主干网络中的第2层嵌入SE(squeeze and excitation)注意力,第11层嵌入CA(coordinate attention)注意力;其次,改进网络模型特征融合结构,将YOLOv5模型Concat特征融合操作的下层分支放在模型C3模块之前,再与另一条上层分支进行特征融合;最后,改进模型分类损失函数,将YOLOv5模型的分类损失函数改成Varifocal Loss函数,加强绿色柑橘特征信息的提取,提高绿色柑橘检测精度。根据自然环境和柑橘自身的特点,对自建数据集进行分类,设计3组不同分类场景下柑橘的对比试验以验证其有效性。试验结果表明,改进后的YOLOv5-SC模型准确率为91.74%,平均精度为95.09%,F1为89.56%,在自然环境下对绿色柑橘的识别具有更高的准确率和更好的鲁棒性,为绿色水果智能采摘提供技术支持。展开更多
基金Emergency Research Project for Novel Coronavirus(2019-nCoV)Prevention and Control in Shanxi Province(No.202003D31012/GZ)Jingfang Fuyang Key Laboratory of Shanxi Province(No.202104010910011)Shanxi Provincial Health Commission Key Laboratory Construction Project。
文摘Objective:To investigate the mechanism of Fuyang Jiebiao granule(FYJBKL)in the treatment of viral pneumonia.Methods:Firstly,a network model was constructed using network pharmacology to study the target expression sites of FYJBKL viral pneumonia,so as to determine the main targets and important signal transduction pathways for the treatment of viral pneumonia.Secondly,the main components of the drug and the main target are docked.Then,the fever,sweating and inflammation rat models were established to explore the antipyretic,sweating and anti-inflammatory mechanisms of FYJBKL.Finally,the contents of IL-17,IL-1β,TNF-αand IL-6 in blood samples of rats were analyzed by ELISA method,and the morphological changes of lung tissue were observed by HE staining.Results:Quercetin,luteolin,kaempferol,etc.,and the main mechanism targets are IL-17,IL-1β,TNF-α,IL-6 and so on.Thirty signal pathways were identified by KEGG enrichment analysis,including interleukin-17 signaling pathway(IL-17 signaling pathway),human cytomegalovirus infection pathway(human cytomegalovirus infection),Kaposi's sarcoma associated herpesvirus infection pathway(Kaposi's sarcoma-as-sociated herpesvirus infection)and so on.After the study of molecular docking,we found that the contact efficiency between active substances and possible key targets is good.The high and middle concentration groups of FYJBKL significantly decreased the expression of IL-17,IL-1β,TNF-αand IL-6 in the blood of rats with inflammation(P<0.05).FYJBKL significantly reduced the foot swelling induced by egg white and inhibited the increase of body temperature induced by yeast in rats(P<0.05).HE staining showed that FYJBKL improved pulmonary fibrosis and inflammatory exudation to varying degrees.Conclusion:The effects of FuyangJiebiao granules on the related signal pathways of anti-virus,anti-immune and anti-inflammation as well as biological and cellular processes may be caused by the binding of quercetin,luteolin,kaempferol and other active ingredients to their shared targets.Fuyang Jiebiao granules can improve the related symptoms caused by viral pneumonia,and its mechanism may be related to the activities of TNF,IL-17,IL-6 and other related channels,which are multiple targets of inflammation regulation.
文摘在复杂的自然环境中绿色柑橘生长形态各异,颜色与背景色相近,为有效识别绿色柑橘,提出一种基于混合注意力机制并改进YOLOv5模型的柑橘识别方法。首先,改进YOLOv5的网络结构,在主干网络中添加混合注意力机制,即在主干网络中的第2层嵌入SE(squeeze and excitation)注意力,第11层嵌入CA(coordinate attention)注意力;其次,改进网络模型特征融合结构,将YOLOv5模型Concat特征融合操作的下层分支放在模型C3模块之前,再与另一条上层分支进行特征融合;最后,改进模型分类损失函数,将YOLOv5模型的分类损失函数改成Varifocal Loss函数,加强绿色柑橘特征信息的提取,提高绿色柑橘检测精度。根据自然环境和柑橘自身的特点,对自建数据集进行分类,设计3组不同分类场景下柑橘的对比试验以验证其有效性。试验结果表明,改进后的YOLOv5-SC模型准确率为91.74%,平均精度为95.09%,F1为89.56%,在自然环境下对绿色柑橘的识别具有更高的准确率和更好的鲁棒性,为绿色水果智能采摘提供技术支持。
