Malignant tumor has become a major threat affecting human health,and is one of the main causes of human death.Recent studies have shown that many traditional Chinese medicines(TCM)have good anti-tumor activity,which m...Malignant tumor has become a major threat affecting human health,and is one of the main causes of human death.Recent studies have shown that many traditional Chinese medicines(TCM)have good anti-tumor activity,which may improve the therapeutic effect of routine treatment and quality of life with lower toxicity.However,the efficacy of TCM alone for the treatment of tumors is limited.Metal ions are essential substances for maintaining normal physiological activities.This article summarized the multiple mechanisms in which metal ions are involved in the prevention and treatment of tumors in TCM.展开更多
Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of s...Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.展开更多
In order to investigate the mechanism of action of immunoenhancer, the effects of the traditional Chinese medicine immunopromoter on the quantity and the transformation rates of T lymphocytes in the chicken blood were...In order to investigate the mechanism of action of immunoenhancer, the effects of the traditional Chinese medicine immunopromoter on the quantity and the transformation rates of T lymphocytes in the chicken blood were determined. Total 120 chickens were randomly assigned into three groups. The 1% and the 0.5% of the Chinese medicine immunopromoter were added to the chicken drinking water, respectively. The quantity of T lymphocytes in each group was measured by a-Naphthyl acetate esterase （ANAE） staining. The results showed that the percentages of T lymphocytes of the treatment groups were significantly higher than that of the control group （P〈0.05）, and the percentage of the 1% group significantly higher than that of the 0.5% group （P〈0.05）. In conclusion, the transformation rates of T lymphocytes showed that the Chinese medicine immunopromoter had the significant enhancing effect on the transformation rates of T lymphocytes of the treated chickens. The traditional Chinese medicine immunopromoter had the distinct function to promote the quantity and the transformation rate of T lymphocytes.展开更多
Objective:To measure oxalate,calcium,and sodium contents of traditional Chinese medicines(TCMs)that are commonly used to prevent and dissolve urinary stones to exclude the possibility that long-term use of such medici...Objective:To measure oxalate,calcium,and sodium contents of traditional Chinese medicines(TCMs)that are commonly used to prevent and dissolve urinary stones to exclude the possibility that long-term use of such medicines promotes stone formation.The second objective was to measure citrate,potassium,and magnesium contents in the same medicines to provide possible clues about the mechanisms of prevention and dissolution of urinary stones by TCMs.Methods:Ten of the most commonly-used TCMs for preventing and dissolving urinary stones were chosen and subjected to ion chromatography(IC)to measure water-soluble and total oxalate and citrate contents.Inductively coupled plasma atomic emission spectrometry(ICPAES)was used to measure calcium,potassium,magnesium,and sodium contents in a water extract and in digestion liquid.Results:Average contents of water-soluble oxalate,calcium,and sodium in the water extract were 41.92,84.32,and 22.82 mg/100 g,respectively,far below the normal dietary intake of adults in China.The average contents of citrate and magnesium in water extracts were 268.99 and 66.65 mg/100 g,respectively,below the recommended intake for adults.These ion contents are therefore insufficient to inhibit the formation of urinary stones.The average content of potassium in the water extract was 867.71 mg/100 g,which was relatively abundant,so taking the prescription used in this experimental protocol can increase the body’s potassium content to some extent.Conclusions:Long-term use of TCMs would not increase the risk of urinary stone formation.The potassium content in TCMs is high,which is one possible reason for the prevention of urinary stones by TCMs.展开更多
Sodium ion channels are the main activation of electrical signals,which are the basis of a series of physiological processes such as nerve activity and muscle contraction of excitable cells.Traditional Chinese medicin...Sodium ion channels are the main activation of electrical signals,which are the basis of a series of physiological processes such as nerve activity and muscle contraction of excitable cells.Traditional Chinese medicine(TCM)has a history of more than 2000 years,and there are more and more researches about TCM on sodium ion channels.This article summarized these researches and had a prospect on its future as well as the next possible focuses in order to lay a foundation for the modern pharmacology and development and promotion of TCM.展开更多
文摘Malignant tumor has become a major threat affecting human health,and is one of the main causes of human death.Recent studies have shown that many traditional Chinese medicines(TCM)have good anti-tumor activity,which may improve the therapeutic effect of routine treatment and quality of life with lower toxicity.However,the efficacy of TCM alone for the treatment of tumors is limited.Metal ions are essential substances for maintaining normal physiological activities.This article summarized the multiple mechanisms in which metal ions are involved in the prevention and treatment of tumors in TCM.
基金National Natural Science Foundation of China(82274411)Science and Technology Innovation Program of Hunan Province(2022RC1021)Leading Research Project of Hunan University of Chinese Medicine(2022XJJB002).
文摘Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.
基金Hebei Science and Technology Office Programme (07220401D)Guangdong Science and Technology Office Programme (2006B203010 1020)
文摘In order to investigate the mechanism of action of immunoenhancer, the effects of the traditional Chinese medicine immunopromoter on the quantity and the transformation rates of T lymphocytes in the chicken blood were determined. Total 120 chickens were randomly assigned into three groups. The 1% and the 0.5% of the Chinese medicine immunopromoter were added to the chicken drinking water, respectively. The quantity of T lymphocytes in each group was measured by a-Naphthyl acetate esterase （ANAE） staining. The results showed that the percentages of T lymphocytes of the treatment groups were significantly higher than that of the control group （P〈0.05）, and the percentage of the 1% group significantly higher than that of the 0.5% group （P〈0.05）. In conclusion, the transformation rates of T lymphocytes showed that the Chinese medicine immunopromoter had the significant enhancing effect on the transformation rates of T lymphocytes of the treated chickens. The traditional Chinese medicine immunopromoter had the distinct function to promote the quantity and the transformation rate of T lymphocytes.
文摘Objective:To measure oxalate,calcium,and sodium contents of traditional Chinese medicines(TCMs)that are commonly used to prevent and dissolve urinary stones to exclude the possibility that long-term use of such medicines promotes stone formation.The second objective was to measure citrate,potassium,and magnesium contents in the same medicines to provide possible clues about the mechanisms of prevention and dissolution of urinary stones by TCMs.Methods:Ten of the most commonly-used TCMs for preventing and dissolving urinary stones were chosen and subjected to ion chromatography(IC)to measure water-soluble and total oxalate and citrate contents.Inductively coupled plasma atomic emission spectrometry(ICPAES)was used to measure calcium,potassium,magnesium,and sodium contents in a water extract and in digestion liquid.Results:Average contents of water-soluble oxalate,calcium,and sodium in the water extract were 41.92,84.32,and 22.82 mg/100 g,respectively,far below the normal dietary intake of adults in China.The average contents of citrate and magnesium in water extracts were 268.99 and 66.65 mg/100 g,respectively,below the recommended intake for adults.These ion contents are therefore insufficient to inhibit the formation of urinary stones.The average content of potassium in the water extract was 867.71 mg/100 g,which was relatively abundant,so taking the prescription used in this experimental protocol can increase the body’s potassium content to some extent.Conclusions:Long-term use of TCMs would not increase the risk of urinary stone formation.The potassium content in TCMs is high,which is one possible reason for the prevention of urinary stones by TCMs.
文摘Sodium ion channels are the main activation of electrical signals,which are the basis of a series of physiological processes such as nerve activity and muscle contraction of excitable cells.Traditional Chinese medicine(TCM)has a history of more than 2000 years,and there are more and more researches about TCM on sodium ion channels.This article summarized these researches and had a prospect on its future as well as the next possible focuses in order to lay a foundation for the modern pharmacology and development and promotion of TCM.
