Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

BACKGROUND:The mechanisms underlying the occurrence of pressure injuries are complex,and it is not entirely clear which factors play a central role in the development of pressure injuries and how these factors operate. OBJECTIVE:To investigate the relationship between Piezo-type mechanosensitive ion channel component 1(Piezo1)and the occurrence of pressure injuries. METHODS:(1)Cellular experiment:Human immortalized keratinocytes(HaCaT)were treated with Yoda1,a Piezo1 agonist,at different concentrations.Cell viability,calcium ion influx,Piezo1,and apoptosis-related protein expression were detected.(2)Animal experiment:Twelve Sprague-Dawley rats were randomly divided into a control group and three experimental groups,with three rats in each group.The control group was not subjected to pressure,while in the three experimental groups,magnets with a thickness of 1,2,and 3 mm were used to press on both sides of the rats'back for 1 hour,respectively,to establish the animal models of pressure injuries.After modeling,all traumatic tissues were excised and subjected to hematoxylin-eosin,Masson,immunofluorescence staining and western blot assay. RESULTS AND CONCLUSION:Cellular experiments:The results of live/dead cell staining showed that HaCaT cell apoptosis increased with the increase of Yoda1 concentration(0,2.5,5,and 10 μmol/L),and calcium ion influx increased with the increase of Yoda1 concentration(0,5,and 10 μmol/L),as well as with the prolongation of treatment time.Western blot assay results showed an increase in the expression of BAX,TG2,and PIEZO1 and a decrease in the expression of the expression of Bcl-2 protein in HaCaT cells in 5 and 10 μmol/L Yoda1 groups compared with the control group(0 μmol/L Yoda1).Animal experiments:The results of hematoxylin-eosin and Masson staining showed that the skin structure of the three experimental groups was damaged at the compression site,there was subcutaneous fat liquefaction and necrosis,and collagen was sparse and disorganized,and damage to the skin structure at the compression site was aggravated with the increase of magnet thickness.Immunofluorescence staining and western blot results showed that compared with the control group,the expression of BAX,TG2,Yap1 and PIEZO1 proteins was elevated,and the expression of Bcl-2 proteins was lowered in the three experimental groups.Moreover,the expression of related proteins showed more significant changes with the increase of magnet thickness(pressure).To conclude,skin compression activates PIEZO1,leading to a significant influx of calcium ions.As the pressure increases,this ultimately results in cell apoptosis due to calcium overload.

Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease. The pathogenesis of AIH remains unclear， but it is mainly autoimmune injury caused by the breakdown of autoimmune tolerance due to the abnormal activation of the immune system， while the specific molecular mechanism remains unknown. Recent studies have shown that abnormal amino acid metabolism plays an important role in the development and progression of AIH. This article reviews the research advances in amino acid metabolic reprogramming in AIH， in order to provide a theoretical basis for amino acid metabolism as a new target for the clinical diagnosis and treatment of AIH.

OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

Growth and development-related diseases result from the interplay of biological, psychological, and social factors. The collaboration between healthcare, sports, and education sectors integrates multidisciplinary resources and strengths to promote standardized diagnostic and therapeutic processes. This approach establishes a comprehensive closed-loop system encompassing early screening and referral, diagnosis and comprehensive evaluation, intervention and support plan formulation, as well as long-term management andoutcome assessment. It provides systematic scientific support for the healthy growth of children and adolescents, shifting disease intervention to the subclinical stage. Against the backdrop of societal informatization and intelligent development, this diagnostic and therapeutic model not only safeguards the holistic health of children and adolescents but also offers novel perspectives and feasible pathways for managing growth and development-related diseases. The implementation of this systematic diagnostic and therapeutic paradigm presents an innovative solution with Chinese characteristics for addressing such conditions, while injecting new vitality into the advancement of national health initiatives.

The growth and development of children is an important stage for health, and its monitoringand intervention are related to the long-term development of individuals. The construction of a standardized and multi-dimensional database of pediatric growth and development-related diseases is an important basis for realizing precise diagnosis and treatment and health management. Based on the needs of clinical practice, this study proposes to establish a specialized database of pediatric growth and development-related diseases that integrates facial phenotypes and clinical diagnosis and treatment information. This study elaborates on the construction process, including data sources, data collection content, and the operation and management of the database; and proposes key points for quality control, including the establishment of quality control nodes, database construction standards, and a full-process quality control framework. The above ensure the integrity, logic and effectiveness of the data, so that the database can provide an objective basis for the screening and diagnosis of pediatric growth and development-related diseases. On the basis of scientific data management and strict quality control, the database will help reveal the patterns of children's growth and development, and promote the level of children's health management.

Objective To identify the key points of forensic appraisal in ophthalmic medical-injury compensation cases and propose targeted measures to prevent disputes.Methods A retrospective analysis was conducted of the appraisal conclusions from 15 ophthalmology medical-injury liability lawsuits handled at a single tertiary hospital over the past five years.We summarized the constitutive characteristics of liability cases,causes of medical injury,and issues encountered during appraisal.Results Among cases undergoing medical-injury liability appraisal,retinal diseases and ocular tumors predominated.The main issues included inadequate informed consent,failure to exercise due care during surgery/treatment,non-standard medical record documentation,insufficient attention to medical risks,and inadequate clinical assessment.Conclusions By summarizing common faults in ophthalmic disputes and problems revealed by forensic appraisal,targeted responses can be implemented to ensure patient safety and promote high-quality medical services.