Objective To investigate the underlying drug enhancement mechanisms of the Chuanwu(Aconiti Radix)and Huangqi(Astragali Radix)combination and toxicity reduction of Chuan-wu combined with Gancao(Glycyrrhizae Radix et Rh...Objective To investigate the underlying drug enhancement mechanisms of the Chuanwu(Aconiti Radix)and Huangqi(Astragali Radix)combination and toxicity reduction of Chuan-wu combined with Gancao(Glycyrrhizae Radix et Rhizoma)in Wutou Decoction(乌头汤,WTD),and to elucidate the compatibility principle.Methods The active compounds and potential effective targets of the selected combinations were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and Traditional Chinese Medicines Integrated Database(TCMID).The toxicity of Chuanwu(Aconiti Radix)was investigated by selecting all five toxic compounds from the literature and the TCMSP database,and obtaining their targets through SwissTargetPrediction.Targets related to rheumatoid arthritis(RA)were searched using Dis-GeNET,GenCards,and Online Mendelian Inheritance in Man(OMIM).Mutual targets between the drug pairs and RA were selected as potential RA therapy targets.The medicinally active compound-target network was constructed using Cytoscape 3.9.0.Gene ontology(GO)term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrich-ment were performed using the Database for Annotation,Visualization,and Integrated Dis-covery(DAVID)platform.Results We obtained 191 active compound targets for Gancao(Glycyrrhizae Radix et Rhizoma),171 for Huangqi(Astragali Radix),and 103 for Chuanwu(Radix Aconiti)(hypo-aconitine’s target was obtained through literature and SwissTargetPrediction).A total of 5872 genes were obtained for RA.A drug-active compound-target network involving 13 effect-en-hancing and nine toxicity reduction targets was constructed.PGR was the main effect en-hancement target,and KCNH2 was the main toxicity reduction target.The effect-enhancing targets were related to 23 GO terms(such as positive regulation of transcription from RNA polymerase II promoter,steroid hormone-mediated signaling pathway,plasma membrane,and protein binding)(P<0.01),and 13 KEGG pathways related to synergism[such as estro-gen signaling pathway,cholinergic synapse,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt)signaling pathway].The toxicity reduction targets were related to 28 GO terms(mainly involes G-protein coupled receptor signaling pathway,plasma membrane,and drug binding)(P<0.01),and five KEGG pathways related to toxicity reduction(cholinergic syn-apse,calcium signaling pathway,regulation of actin cytoskeleton,neuroactive ligand-recept-or interaction,and serotonergic synapse).Conclusion The combination of Chuanwu(Aconiti Radix)and Huangqi(Astragali Radix)plays an important effect-enhancing role in WTD and involves the estrogen and PI3K/Akt sig-naling pathways,with PGR as the core.The Chuanwu(Aconiti Radix)and Gancao(Gly-cyrrhizae Radix et Rhizoma)combination decreases toxicity in WTD and is associated with the cholinergic synapse and calcium signaling pathways,with KCNH2 as the core.展开更多
Lv Renhe,a master of Chinese medicine,was familiar with the sources of medicinal materials,the four nature and five flavors,and the characteristics of ascending,descending,floating and sinking.The study of medicine in...Lv Renhe,a master of Chinese medicine,was familiar with the sources of medicinal materials,the four nature and five flavors,and the characteristics of ascending,descending,floating and sinking.The study of medicine in clinical practice reflects the principle of“using medicine as a soldier”.In the treatment of diabetes mellitus and its complications,Professor Lv made good use of mulberry leaves,mulberry branches,mulberry white bark,mulberry and mulberry parasitism,and gave full play to the modern pharmacological effects of mulberry drugs such as hypoglycemic,hypotensive and lipidemic in the combined use,and achieved satisfactory results.展开更多
The global prevalence of diabetes is steadily increasing,with a high percentage of patients unaware of their disease status.Screening for diabetes is of great significance in preventive medicine and may benefit from d...The global prevalence of diabetes is steadily increasing,with a high percentage of patients unaware of their disease status.Screening for diabetes is of great significance in preventive medicine and may benefit from deep learning technology.In traditional Chinese medicine,specific features on the ocular surface have been explored as diagnostic indicators for systemic diseases.Here we explore the feasibility of using features from the entire ocular surface to construct deep learning models for risk assessment and detection of type 2 diabetes(T2DM).We performed an observational,multicenter study using ophthalmic images of the ocular surface to develop a deep convolutional network,OcularSurfaceNet.The deep learning system was trained and validated with a multicenter dataset of 416580 images from 67151 participants and tested independently using an additional 91422 images from 12544 participants,and can be used to identify individuals at high risk of T2DM with areas under the receiver operating characteristic curve(AUROC)of 0.89-0.92 and T2DM with AUROC of 0.70-0.82.Our study demonstrated a qualitative relationship between ocular surface images and T2DM risk level,which provided new insights for the potential utility of ocular surface images in T2DM screening.Overall,our findings suggest that the deep learning framework using ocular surface images can serve as an opportunistic screening toolkit for noninvasive and low-cost large-scale screening of the general population in risk assessment and early identification of T2DM patients.展开更多
基金Macao Science and Technology Development Fund(0003/2019/AKP and 0010/2020/A1)Guangdong Basic and Applied Basic Research Foundation(2020B1515130005)+1 种基金Guangdong-Hong Kong-Macao Joint Lab on Chinese Medicine and Immune Disease Research,Guangzhou University of Chinese Medicine(2020B1212030006)supported by a grant from the“Macao Young Scholars Program”(AM2020017).
文摘Objective To investigate the underlying drug enhancement mechanisms of the Chuanwu(Aconiti Radix)and Huangqi(Astragali Radix)combination and toxicity reduction of Chuan-wu combined with Gancao(Glycyrrhizae Radix et Rhizoma)in Wutou Decoction(乌头汤,WTD),and to elucidate the compatibility principle.Methods The active compounds and potential effective targets of the selected combinations were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and Traditional Chinese Medicines Integrated Database(TCMID).The toxicity of Chuanwu(Aconiti Radix)was investigated by selecting all five toxic compounds from the literature and the TCMSP database,and obtaining their targets through SwissTargetPrediction.Targets related to rheumatoid arthritis(RA)were searched using Dis-GeNET,GenCards,and Online Mendelian Inheritance in Man(OMIM).Mutual targets between the drug pairs and RA were selected as potential RA therapy targets.The medicinally active compound-target network was constructed using Cytoscape 3.9.0.Gene ontology(GO)term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrich-ment were performed using the Database for Annotation,Visualization,and Integrated Dis-covery(DAVID)platform.Results We obtained 191 active compound targets for Gancao(Glycyrrhizae Radix et Rhizoma),171 for Huangqi(Astragali Radix),and 103 for Chuanwu(Radix Aconiti)(hypo-aconitine’s target was obtained through literature and SwissTargetPrediction).A total of 5872 genes were obtained for RA.A drug-active compound-target network involving 13 effect-en-hancing and nine toxicity reduction targets was constructed.PGR was the main effect en-hancement target,and KCNH2 was the main toxicity reduction target.The effect-enhancing targets were related to 23 GO terms(such as positive regulation of transcription from RNA polymerase II promoter,steroid hormone-mediated signaling pathway,plasma membrane,and protein binding)(P<0.01),and 13 KEGG pathways related to synergism[such as estro-gen signaling pathway,cholinergic synapse,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt)signaling pathway].The toxicity reduction targets were related to 28 GO terms(mainly involes G-protein coupled receptor signaling pathway,plasma membrane,and drug binding)(P<0.01),and five KEGG pathways related to toxicity reduction(cholinergic syn-apse,calcium signaling pathway,regulation of actin cytoskeleton,neuroactive ligand-recept-or interaction,and serotonergic synapse).Conclusion The combination of Chuanwu(Aconiti Radix)and Huangqi(Astragali Radix)plays an important effect-enhancing role in WTD and involves the estrogen and PI3K/Akt sig-naling pathways,with PGR as the core.The Chuanwu(Aconiti Radix)and Gancao(Gly-cyrrhizae Radix et Rhizoma)combination decreases toxicity in WTD and is associated with the cholinergic synapse and calcium signaling pathways,with KCNH2 as the core.
基金The Sixth Batch of National Academic Experience Inheritance Project for Senior Traditional Chinese Medicine Experts of State Administration of Traditional Chinese Medicine(No.JX332)National Traditional Chinese Medicine Experts Inheritance Studio Construction Project of State Administration of Traditional Chinese Medicine(No.JB063)。
文摘Lv Renhe,a master of Chinese medicine,was familiar with the sources of medicinal materials,the four nature and five flavors,and the characteristics of ascending,descending,floating and sinking.The study of medicine in clinical practice reflects the principle of“using medicine as a soldier”.In the treatment of diabetes mellitus and its complications,Professor Lv made good use of mulberry leaves,mulberry branches,mulberry white bark,mulberry and mulberry parasitism,and gave full play to the modern pharmacological effects of mulberry drugs such as hypoglycemic,hypotensive and lipidemic in the combined use,and achieved satisfactory results.
基金supported by the Science and Technology Planning Project of Inner Mongolia Autonomous Region[201802146]National Key Research and Development Program of China[2018YFC1707601,2018YFC1704200]+1 种基金Major Basic and Applied Basic Research Projects of Guangdong Province of China[2019B030302005]Mongolian Medicine Standardization Project of Inner Mongolia Autonomous Region People's Government[2018001].
文摘The global prevalence of diabetes is steadily increasing,with a high percentage of patients unaware of their disease status.Screening for diabetes is of great significance in preventive medicine and may benefit from deep learning technology.In traditional Chinese medicine,specific features on the ocular surface have been explored as diagnostic indicators for systemic diseases.Here we explore the feasibility of using features from the entire ocular surface to construct deep learning models for risk assessment and detection of type 2 diabetes(T2DM).We performed an observational,multicenter study using ophthalmic images of the ocular surface to develop a deep convolutional network,OcularSurfaceNet.The deep learning system was trained and validated with a multicenter dataset of 416580 images from 67151 participants and tested independently using an additional 91422 images from 12544 participants,and can be used to identify individuals at high risk of T2DM with areas under the receiver operating characteristic curve(AUROC)of 0.89-0.92 and T2DM with AUROC of 0.70-0.82.Our study demonstrated a qualitative relationship between ocular surface images and T2DM risk level,which provided new insights for the potential utility of ocular surface images in T2DM screening.Overall,our findings suggest that the deep learning framework using ocular surface images can serve as an opportunistic screening toolkit for noninvasive and low-cost large-scale screening of the general population in risk assessment and early identification of T2DM patients.
