Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

AIM: To investigate the potential inhibitory effect of pterostilbene on the endothelial-to-mesenchymal transition(EndMT)induced by high glucose conditions in human retinal microvascular endothelial cells(HRMECs).METHODS: The optimal concentration of pterostilbene for treating HRMECs was determined using the CCK-8 assay, with 12.5 and 25 μmol/L concentrations selected for subsequent experiments. Four experimental groups were established: control group, high glucose group, high glucose combined with 12.5 μmol/L pterostilbene treatment group, and high glucose combined with 25 μmol/L pterostilbene treatment group. The expression levels of HDAC7 and EndMT-associated markers were detected via Western blot analysis. Cell migration ability was assessed using Transwell migration assays and scratch wound healing tests, while vasculogenic capability was evaluated through tube formation assays.RESULTS: The CCK-8 assay revealed that pterostilbene at a concentration of 22.07 μmol/L inhibited 50% of cell viability in HRMECs. Western blot analysis demonstrated that compared with the control group, the expression levels of HDAC7, ZEB1, Vimentin, and Snail were significantly upregulated in HRMECs cultured in high glucose(all P<0.01), while the expressions of VE-cadherin and CD31 were significantly reduced(all P<0.01). Compared to the high glucose group, the treatment with 12.5 and 25 μmol/L pterostilbene significantly reduced the expression of HDAC7, ZEB1, Vimentin, and Snail under high glucose conditions(all P<0.01). Notably, 25 μmol/L pterostilbene enhanced the expression of VE-cadherin and CD31(all P<0.01). Scratch wound healing tests revealed that HRMECs treated with high glucose exhibited a significantly increased cell migration rate compared to the control group(P<0.05), while the application of 25 μmol/L pterostilbene significantly suppressed HRMECs migration under high glucose conditions(P<0.01). Transwell migration assays demonstrated that the cell migration rate in the high glucose group was significantly higher than that in the control group(P<0.01), with cell migration rate markedly reduced following treatment with both of 12.5 and 25 μmol/L pterostilbene(all P<0.01). The tube formation assay revealed that the ability of HRMECs to form tubular structures was significantly enhanced under high glucose conditions(P<0.01), and both 12.5 and 25 μmol/L of pterostilbene effectively inhibited this effect(all P<0.01).CONCLUSION: Pterostilbene can inhibit HDAC7 expression, suppress EndMT-mediated migration of HRMECs, and impair tube formation under high-glucose conditions.

AIM: To investigate the potential inhibitory effect of pterostilbene on the endothelial-to-mesenchymal transition(EndMT)induced by high glucose conditions in human retinal microvascular endothelial cells(HRMECs).METHODS: The optimal concentration of pterostilbene for treating HRMECs was determined using the CCK-8 assay, with 12.5 and 25 μmol/L concentrations selected for subsequent experiments. Four experimental groups were established: control group, high glucose group, high glucose combined with 12.5 μmol/L pterostilbene treatment group, and high glucose combined with 25 μmol/L pterostilbene treatment group. The expression levels of HDAC7 and EndMT-associated markers were detected via Western blot analysis. Cell migration ability was assessed using Transwell migration assays and scratch wound healing tests, while vasculogenic capability was evaluated through tube formation assays.RESULTS: The CCK-8 assay revealed that pterostilbene at a concentration of 22.07 μmol/L inhibited 50% of cell viability in HRMECs. Western blot analysis demonstrated that compared with the control group, the expression levels of HDAC7, ZEB1, Vimentin, and Snail were significantly upregulated in HRMECs cultured in high glucose(all P<0.01), while the expressions of VE-cadherin and CD31 were significantly reduced(all P<0.01). Compared to the high glucose group, the treatment with 12.5 and 25 μmol/L pterostilbene significantly reduced the expression of HDAC7, ZEB1, Vimentin, and Snail under high glucose conditions(all P<0.01). Notably, 25 μmol/L pterostilbene enhanced the expression of VE-cadherin and CD31(all P<0.01). Scratch wound healing tests revealed that HRMECs treated with high glucose exhibited a significantly increased cell migration rate compared to the control group(P<0.05), while the application of 25 μmol/L pterostilbene significantly suppressed HRMECs migration under high glucose conditions(P<0.01). Transwell migration assays demonstrated that the cell migration rate in the high glucose group was significantly higher than that in the control group(P<0.01), with cell migration rate markedly reduced following treatment with both of 12.5 and 25 μmol/L pterostilbene(all P<0.01). The tube formation assay revealed that the ability of HRMECs to form tubular structures was significantly enhanced under high glucose conditions(P<0.01), and both 12.5 and 25 μmol/L of pterostilbene effectively inhibited this effect(all P<0.01).CONCLUSION: Pterostilbene can inhibit HDAC7 expression, suppress EndMT-mediated migration of HRMECs, and impair tube formation under high-glucose conditions.

Cardiovascular surgery in China has undergone leapfrog development, from learning and introducing technologies, to independent innovation, and now leading the world in some fields. Currently, the continuous decline in the birth rate, accelerated aging process, and westernization of dietary structure have profoundly reshaped the epidemiological spectrum of cardiovascular diseases, posing a " triple impact" on the development of cardiovascular surgery. This article summarizes their impacts: (1) Congenital heart disease (CHD): The reduction in newborns has led to a decrease in the absolute number of surgeries, but the popularization of prenatal diagnosis and improved treatment capabilities have relatively increased the proportion of complex CHD cases. The population of adult CHD patients is large and their management has become more complex. (2) Acquired heart disease: Aging has driven a significant increase in the volume of surgeries for coronary artery bypass grafting (CABG), valvular heart disease (especially degenerative lesions), atrial fibrillation surgery, and heart failure (heart transplantation and left ventricular assist devices). Patients are characterized by advanced age, critical conditions, and multiple comorbidities. (3) Great vessel diseases: Hypertension, atherosclerosis, and aging have caused a sharp increase in the incidence and surgical volume of aortic aneurysms/aortic dissections, with endovascular treatment becoming an important approach. To address these challenges, future development directions focus on: Technological innovation (minimally invasive surgery, interventional/hybrid techniques, mechanical circulatory support, precision medicine, and regenerative medicine); Transformation of diagnosis and treatment models (establishing full-life-cycle management of CHD, strengthening multidisciplinary heart team decision-making, and promoting enhanced recovery after surgery); Resource optimization (regional collaborative hierarchical diagnosis and treatment, capacity building at the grassroots level, and adaptation to medical insurance payment reforms); Talent training and scientific research innovation (cultivating interdisciplinary talents, strengthening clinical research, and innovating domestic medical devices). Cardiovascular surgery in China needs to actively adapt to changes in population structure and safeguard national heart health through continuous innovation and system optimization.

Cardiovascular surgery in China has undergone leapfrog development, from learning and introducing technologies, to independent innovation, and now leading the world in some fields. Currently, the continuous decline in the birth rate, accelerated aging process, and westernization of dietary structure have profoundly reshaped the epidemiological spectrum of cardiovascular diseases, posing a " triple impact" on the development of cardiovascular surgery. This article summarizes their impacts: (1) Congenital heart disease (CHD): The reduction in newborns has led to a decrease in the absolute number of surgeries, but the popularization of prenatal diagnosis and improved treatment capabilities have relatively increased the proportion of complex CHD cases. The population of adult CHD patients is large and their management has become more complex. (2) Acquired heart disease: Aging has driven a significant increase in the volume of surgeries for coronary artery bypass grafting (CABG), valvular heart disease (especially degenerative lesions), atrial fibrillation surgery, and heart failure (heart transplantation and left ventricular assist devices). Patients are characterized by advanced age, critical conditions, and multiple comorbidities. (3) Great vessel diseases: Hypertension, atherosclerosis, and aging have caused a sharp increase in the incidence and surgical volume of aortic aneurysms/aortic dissections, with endovascular treatment becoming an important approach. To address these challenges, future development directions focus on: Technological innovation (minimally invasive surgery, interventional/hybrid techniques, mechanical circulatory support, precision medicine, and regenerative medicine); Transformation of diagnosis and treatment models (establishing full-life-cycle management of CHD, strengthening multidisciplinary heart team decision-making, and promoting enhanced recovery after surgery); Resource optimization (regional collaborative hierarchical diagnosis and treatment, capacity building at the grassroots level, and adaptation to medical insurance payment reforms); Talent training and scientific research innovation (cultivating interdisciplinary talents, strengthening clinical research, and innovating domestic medical devices). Cardiovascular surgery in China needs to actively adapt to changes in population structure and safeguard national heart health through continuous innovation and system optimization.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

ObjectiveTo investigate the correlation among the botanical characteristics， biological characteristics， chemical composition， and medicinal properties and efficacy of traditional Chinese medicines （TCM） from latex-containing plants， so as to strengthen the theory of "identifying symptoms for qualities" and provide a reference for the development and utilization of the latex-containing plant resources. MethodStatistics on the meridians for properties and tastes， efficacy， medicinal parts， family and genus， and chemical components of TCM from latex-containing plants were carried out. A total of 53 TCM from latex-containing plants included in the 2020 edition of the Chinese Pharmacopoeia were screened by mining the Chinese Botanical Journal， Chinese Materia Medica， Dictionary of Traditional Chinese Medicines， and related literature. In addition， their meridians for properties and tastes， medicinal parts， chemical components， and TCM classifications were summarized and statistically analyzed by using Excel 2013 and ChiPlot 2023.3.31 software. ResultIt was found that latex-containing plants were mainly distributed in one kingdom， one phylum， two classes， and 20 families， and most of the TCM from latex-containing plants belonged to Dicotyledonaceae under Angiosperms. In terms of properties and tastes， plain>cold>warm>cool>hot and bitter>pungent>sweet>sour>salty. In terms of meridians， liver>lung>kidney>spleen=large intestine=stomach>heart>bladder=gallbladder=small intestines. In terms of medicinal parts， roots （root， rhizomes， tuberous root， and root bark）>resin>seed>whole herb （whole herb and above-ground part）>stem （stem and branch）>fruit>leaf>flower=skin. In terms of research on chemical components， they were mostly glycosides. In terms of TCM classification， they were mostly medicines for activating blood circulation and removing blood stasis. ConclusionThe TCM from latex-containing plants is mainly plain， with a uniform warm and cold distribution. The tastes are mainly bitter and pungent， and the major meridians are the liver and lung. The roots and resins are mainly used as medicines. The components mostly contain glycosides， alkaloids， and volatile oils， and most of them are medicines for activating blood circulation and removing blood stasis， as well as for removing heat and toxins. There is a certain degree of correlation among the growth habits， medicinal parts， chemical components， and the properties， tastes， and efficacy of the TCM from latex-containing plants. It may provide a reference for resource development and utilization of TCM from latex-containing plants.

ObjectiveThe relevant laws among the biological characteristics， medicinal parts， growth environment， and medicinal properties and efficacy of traditional Chinese medicines （TCM） from fungi were excavated， so as to strengthen the theory of distinguishing symptoms for quality and provide a reference for the development and utilization of TCM from fungi. MethodThe medicinal parts， meridians for properties and tastes， heterotrophic mode， and efficacy of commonly used TCM from fungi were summarized. By consulting the Compendium of Materia Medica， Shennong Materia Medica， Flora of China， and literature， the TCM from fungi indexed in the 2020 edition of the Chinese Pharmacopoeia and some local pharmacopeias were checked. ResultA total of 28 common TCM from fungi were selected. Different TCMs from fungi have different meridians for properties and tastes， medicinal parts， habits， and growth environments. The relevant information was counted. Among the four properties， plain>cold>warm. Among the five tastes， sweet>bitter>light>pungent=salty. In terms of medicinal parts， fruiting body>sclerotia>complex>spermia=outer skin=other. In terms of meridians， lung>liver=heart>spleen=kidney>stomach. In terms of habits， parasitism>saprophysis>symbiosis=facultative parasitism=facultative saprophysis. ConclusionTCM from fungi are mainly parasitic and saprophytic， and the plain property and sweet taste the most. The meridians are mostly lung， heart， and liver. Nourishment and diuresis are the main efficacy. There is a certain correlation between the color， habit， medicinal parts， and growth environment of TCM from fungi and their properties， tastes， and efficacy， providing comprehensive literature reference and theoretical basis for their in-depth research， clinical use， and resource development.

ObjectiveTo investigate the functions and characteristics of traditional Chinese medicine （TCM） from plant skin and their Chinese patent medicines and explore the related laws of the medicinal tissue， property， taste， efficacy， and clinical application， so as to strengthen the theory of identifying symptoms for qualities and provide references for the development and utilization of TCM from plant skin and their Chinese patent medicines. MethodBy reviewing the 2020 edition of the Chinese Pharmacopoeia and some local pharmacopeias， TCM from plant skin and their Chinese patent medicines were screened out， and the characteristics， functions， and precautions of TCM from plant skin and their Chinese patent medicines were summarized. Statistical analysis was carried out with Excel. ResultA total of 62 TCM from plant skin were found， mainly distributed in one kingdom， three phyla， and 31 families. In terms of the family genus， Rutaceae>Leguminosae>Cucurbitaceae. In terms of the medicinal tissue， bark>root bark>fruit bark>seed bark. In terms of property and taste， warm>cold>plain>cool>hot， and bitter>sweet=pungent>acidic. In terms of meridians， lung>liver>spleen>heart>colorectal>kidney>stomach=bladder. In terms of TCM classification， most of them belong to the category of heat-clearing medicines. There were 485 types of Chinese patent medicines from plant skin， with the most Chinese patent medicines containing Citri Reticulatae Pericarpium. Among the forms of administration， pills were the most predominant. In terms of the tastes of the medicines， bitter and sweet flavors predominated. In terms of functions， medicines for strengthening the body resistance were the most. For the precautions， contraindications during pregnancy were the most common. ConclusionThere is a correlation among medicinal tissue， property， taste， efficacy， and clinical application of TCM from plant skin. It is also necessary to pay attention to the contraindications of the medicines and rationally choose TCM from plant skin and their Chinese patent medicines under the guidance of TCM theory based on syndrome differentiation and treatment.

ObjectiveTo explore the correlations between botanical characteristics， biological characteristics， growth environment， and medicinal properties of common pteridophyte-derived Chinese medicinal materials， thus providing evidence for the theory of quality evaluation through morphological identification and giving insights into the extensive and reasonable application of pteridophytes in traditional Chinese medicine （TCM）. MethodThe medicine parts， habitats， natures， tastes， and effects of the commonly used pteridophyte-derived Chinese medicinal materials were summarized. The commonly used pteridophyte-derived Chinese medicinal materials were retrieved from the Pharmacopoeia of China， Dictionary of Chinese Materia Medica， and related literature. Excel 2016， ChiPlot， Cytoscape 3.7.1， SPSS 21.0， and weiciyun software were used for statistical analysis. ResultThe frequency of the habitats followed the trend of streamside wetland>tree trunk and rock crevices>sunslope>water surface. The frequency of medicinal parts presented the trend of whole plant>rhizome>leaf>dried aboveground part>spore. The frequency of natures was in the order of cool>cold>plain>warm>hot， and that of tastes was in an order of bitter>pungent>sweet>bland>salty. The frequency of meridian tropism followed the trend of liver meridian>stomach meridian>lung meridian>kidney meridian>bladder meridian>heart meridian>large intestine meridian>spleen meridian>small intestine meridian. The effects of the pteridophyte-derived Chinese medicinal materials followed a frequency trend of clearing heat and detoxifying>promoting urination and relieving stranguria>cooling blood and stopping bleeding>activating blood and resolving stasis>dispelling wind and eliminating dampness. ConclusionThe pteridophyte-derived Chinese medicinal materials mainly have a cool nature， a bitter taste， and tropism to the liver meridian. Whole plants and roots are mainly used for medicinal purposes， and most of these plants grow in the wetlands near rivers， under trees， and in tree trunk and rock crevices. The main effects of these medicinal materials are clearing heat and detoxifying， dispelling wind and removing dampness， cooling blood and stopping bleeding， activating blood and resolving stasis， and soothing meridians and dredging collaterals. There are certain correlations between the structures， habitats， medicinal parts， and effects of pteridophyte-derived Chinese medicinal materials， which provide reference for the development and utilization of pteridophyte-derived Chinese medicinal material resources.