Two years after the coronavirus disease 2019(COVID-19)outbreak,an increasing number of patients continue to suffer from long COVID(LC),persistent symptoms,and/or delayed or long-term complications beyond the initial 4...Two years after the coronavirus disease 2019(COVID-19)outbreak,an increasing number of patients continue to suffer from long COVID(LC),persistent symptoms,and/or delayed or long-term complications beyond the initial 4 weeks from the onset of symptoms.Constant fatigue is one of the most common LC symptoms,leading to severely reduced quality of life among patients.Ginseng Radix et Rhizoma—known as the King of Herbs in traditional Chinese medicine—has shown clinical anti-fatigue effects.In this review,we summarize the underlying anti-fatigue mechanisms of Ginseng Radix et Rhizoma extracts and their bioactive compounds,with a special focus on anti-viral,immune remodeling,endocrine system regulation,and metabolism,suggesting that Ginseng Radix et Rhizoma is a potentially promising treatment for LC,especially regarding targeting fatigue.展开更多
Objective:To establish a deep-learning architecture based on faster region-based convolutional neural networks(Faster R-CNN)algorithm for detection and sorting of red ginseng(Ginseng Radix et Rhizoma Rubra)with intern...Objective:To establish a deep-learning architecture based on faster region-based convolutional neural networks(Faster R-CNN)algorithm for detection and sorting of red ginseng(Ginseng Radix et Rhizoma Rubra)with internal defects automatically on an online X-ray machine vision system.Methods:A Faster R-CNN based classifier was trained with around 20000 samples with mean average precision value(mAP)of 0.95.A traditional image processing method based on feedforward neural network(FNN)obtained a bad performance with the accuracy,recall and specificity of 69.0%,68.0%,and70.0%,respectively.Therefore,the Faster R-CNN model was saved to evaluate the model performance on the defective red ginseng online sorting system.Results:An independent set of 2000 red ginsengs were used to validate the performance of the Faster RCNN based online sorting system in three parallel tests,achieving accuracy of 95.8%,95.2%and 96.2%,respectively.Conclusion:The overall results indicated that the proposed Faster R-CNN based classification model has great potential for non-destructive detection of red ginseng with internal defects.展开更多
OBJECTIVE: To investigate the effects of extracts from Renshen(Radix Ginseng), Sanqi(Radix Notoginseng), and Chuanxiong(Rhizoma Chuanxiong) on the endothelial actin cytoskeleton in senescent human cardiac microvascula...OBJECTIVE: To investigate the effects of extracts from Renshen(Radix Ginseng), Sanqi(Radix Notoginseng), and Chuanxiong(Rhizoma Chuanxiong) on the endothelial actin cytoskeleton in senescent human cardiac microvascular endothelial cells(HCMECs), and to propose the possible mechanism underlying the actions.METHODS: Lentiviral mediated RNA interference was applied to a replicative senescent HCMEC model by knocking down heat shock protein 27(HSP27)gene. Cells were treated with extracts from Renshen(Radix Ginseng), Sanqi(Radix Notoginseng), and Chuanxiong(Rhizoma Chuanxiong) at final concentrations of 50, 100, and 200 mg/L, respectively and with 10 μM resveratrol for 48 h. Untreated cells were used as controls. Senescence was detected by senescence β-galactosidase staining and cell proliferation was analyzed by cell counting kit-8 assays.Secreted nitric oxide levels were detected by nitrate reductase. Morphological changes of F-actin and G-actin were observed by laser scanning confocal microscopy. Protein and gene expression of Factin and HSP27 was detected by western blotting.RESULTS: Compared with the control group, the proportion of senescent HSP27 shRNA cells treated with the extracts was decreased and their proliferation was increased. In the extract intervention group, F-actin around the cell periphery became irregular and jagged fractures formed gradually and then dissipated. Moreover, some dynamic actin stress fiber filaments appeared. The G-actin stretched to the cell periphery and punctate staining was scattered in the cytoplasm. In addition, the mean optical density value of F/G-actin was decreased significantly and the protein expression of F-actin was downregulated.CONCLUSION: The extracts delayed microvascular endothelial cell senescence by downregulating the expression of F-actin through HSP27.展开更多
基金funded by the Science&Technology Development Fund of the Tianjin Education Commission for Higher Education(2018KJ010)。
文摘Two years after the coronavirus disease 2019(COVID-19)outbreak,an increasing number of patients continue to suffer from long COVID(LC),persistent symptoms,and/or delayed or long-term complications beyond the initial 4 weeks from the onset of symptoms.Constant fatigue is one of the most common LC symptoms,leading to severely reduced quality of life among patients.Ginseng Radix et Rhizoma—known as the King of Herbs in traditional Chinese medicine—has shown clinical anti-fatigue effects.In this review,we summarize the underlying anti-fatigue mechanisms of Ginseng Radix et Rhizoma extracts and their bioactive compounds,with a special focus on anti-viral,immune remodeling,endocrine system regulation,and metabolism,suggesting that Ginseng Radix et Rhizoma is a potentially promising treatment for LC,especially regarding targeting fatigue.
基金funded by National Natural Science Foundation of China(Grant No.82074276)Projects of International Cooperation of Traditional Chinese Medicine(Grant No.06102040NF020928)+1 种基金National S&T Major Project of China(Grant No.2018ZX09201011)Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine.(No.ZYYCXTD-D-202002)。
文摘Objective:To establish a deep-learning architecture based on faster region-based convolutional neural networks(Faster R-CNN)algorithm for detection and sorting of red ginseng(Ginseng Radix et Rhizoma Rubra)with internal defects automatically on an online X-ray machine vision system.Methods:A Faster R-CNN based classifier was trained with around 20000 samples with mean average precision value(mAP)of 0.95.A traditional image processing method based on feedforward neural network(FNN)obtained a bad performance with the accuracy,recall and specificity of 69.0%,68.0%,and70.0%,respectively.Therefore,the Faster R-CNN model was saved to evaluate the model performance on the defective red ginseng online sorting system.Results:An independent set of 2000 red ginsengs were used to validate the performance of the Faster RCNN based online sorting system in three parallel tests,achieving accuracy of 95.8%,95.2%and 96.2%,respectively.Conclusion:The overall results indicated that the proposed Faster R-CNN based classification model has great potential for non-destructive detection of red ginseng with internal defects.
基金Supported by the National Natural Science Foundation of China(the Study on Intervention and Mechanism of Chinese Herbal Medicines for Nourishing Qi and Resolving Blood Stasis on Cytoskeletal Protein of Vascular Aging(No.81273976)the Mechanism of Exploration about Formula for Reinforcing Qi,Warming Yang,Activating Blood and Promoting Diuresis in the Prevention and Treatment of Heart Failure through mT ORC1-Mitophagy Pathway(No.8170-3865)+2 种基金Independent Research Program of the China Academy of Chinese Medical Sciences(the Study on Mechanism of Chinese Herbal Medicines for Nourishing Qi and Resolving Blood Stasis Delaying Vascular Aging(No.zz2013002)the Mechanism of Exploration about Formula for Reinforcing Qi,Warming Yang,Activating Blood and Promoting Diuresis in the Prevention and Treatment of Heart Failure through Nrf2-iron Death Pathway(No.zz13-YQ-034)Beijing Science and Technology Bureau(Clinical study about Formula for Reinforcing Qi,Warming Yang,Activating Blood and Promoting Diuresis to Improve the Survival Status of Patients with Chronic Heart Failure(No.Z171100001017108)。
文摘OBJECTIVE: To investigate the effects of extracts from Renshen(Radix Ginseng), Sanqi(Radix Notoginseng), and Chuanxiong(Rhizoma Chuanxiong) on the endothelial actin cytoskeleton in senescent human cardiac microvascular endothelial cells(HCMECs), and to propose the possible mechanism underlying the actions.METHODS: Lentiviral mediated RNA interference was applied to a replicative senescent HCMEC model by knocking down heat shock protein 27(HSP27)gene. Cells were treated with extracts from Renshen(Radix Ginseng), Sanqi(Radix Notoginseng), and Chuanxiong(Rhizoma Chuanxiong) at final concentrations of 50, 100, and 200 mg/L, respectively and with 10 μM resveratrol for 48 h. Untreated cells were used as controls. Senescence was detected by senescence β-galactosidase staining and cell proliferation was analyzed by cell counting kit-8 assays.Secreted nitric oxide levels were detected by nitrate reductase. Morphological changes of F-actin and G-actin were observed by laser scanning confocal microscopy. Protein and gene expression of Factin and HSP27 was detected by western blotting.RESULTS: Compared with the control group, the proportion of senescent HSP27 shRNA cells treated with the extracts was decreased and their proliferation was increased. In the extract intervention group, F-actin around the cell periphery became irregular and jagged fractures formed gradually and then dissipated. Moreover, some dynamic actin stress fiber filaments appeared. The G-actin stretched to the cell periphery and punctate staining was scattered in the cytoplasm. In addition, the mean optical density value of F/G-actin was decreased significantly and the protein expression of F-actin was downregulated.CONCLUSION: The extracts delayed microvascular endothelial cell senescence by downregulating the expression of F-actin through HSP27.
