Objective: To investigate the potential protective effect of Shexiang Tongxin dropping pills (STDP) on ischemia-reperfusion injury and its underlying mechanisms in improving endothelial cell function in coronary microvascular disease (CMVD). Methods: A rat model of myocardial ischemia-reperfusion injury with CMVD was established using ligation and reperfusion of the left anterior descending artery. The effect of STDP (21.6 mg/kg) on cardiac function was evaluated using echocardiography, hematoxylin-eosin staining, and Evans blue staining. The effects of STDP on the microvascular endothelial barrier were assessed based on nitric oxide production, endothelial nitric oxide synthase expression, structural variety of tight junctions (TJs), and the expression of zonula occludens-1 (ZO-1), claudin-5, occludin, and vascular endothelial (VE)-cadherin proteins. The mechanisms of STDP (50 and 100 ng/mL) were evaluated by examining the expression of sphingosine 1-phosphate receptor 2 (S1PR2), Ras Homolog family member A (RhoA), and Rho-associated coiled-coil-containing protein kinase (ROCK) proteins and the distribution of ZO-1, VE-cadherin, and F-actin proteins in an oxygen and glucose deprivation/reoxygenation model. Results: The administration of STDP on CMVD rat model significantly improved cardiac and microvascular endothelial cell barrier functions (all P < .05). STDP enhanced the structural integrity of coronary microvascular positioning and distribution by clarifying and completing TJs and increasing the expression of ZO-1, occludin, claudin-5, and VE-cadherin in vivo (all P < .05). The S1PR2/RhoA/ROCK pathway was inhibited by STDP in vitro, leading to the regulation of endothelial cell TJs, adhesion junctions, and cytoskeletal morphology. Conclusion STDP showed protective effects on cardiac impairment and microvascular endothelial barrier injury in CMVD model rats induced by myocardial ischemia-reperfusion injury through the modulation of the S1PR2/RhoA/ROCK pathway.

ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

This article reviews the benifits and challenges of nano-microspheres (NPs) in the treatment of osteoarthritis (OA). OA is a degenerative disease associated with aging, trauma, and excessive loading, with treatment strategies including basic therapy, drug therapy, reparative therapy, and reconstructive surgery. As emerging nanomaterials, NPs offer unique advantages in promoting cartilage repair due to their high surface area, excellent drug-loading capacity, and good biocompatibility. These advantages include facilitating chondrocyte generation through magnetic-mechanical control of mesenchymal stem cell microspheres and enhancing antioxidant levels using biomimetic liposomal NPs combined with glucosamine. Additionally, NPs can effectively modulate inflammatory responses, such as by inhibiting the formation of M1 macrophages and promoting their polarization to the M2 type to alleviate inflammation. Some NPs also enhance joint lubrication and relieve pain, such as hyaluronic acid-based NPs modified with choline phosphate groups. However, the application of NPs faces challenges such as high production costs, poor biocompatibility for certain types, and unknown long-term safety. Despite these challenges, with advancements in nanotechnology and a deeper understanding of the pathological mechanisms of OA, NPs are expected to provide new therapeutic approaches and more comprehensive and effective treatment options for OA patients in the future.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

This article reviews the benifits and challenges of nano-microspheres (NPs) in the treatment of osteoarthritis (OA). OA is a degenerative disease associated with aging, trauma, and excessive loading, with treatment strategies including basic therapy, drug therapy, reparative therapy, and reconstructive surgery. As emerging nanomaterials, NPs offer unique advantages in promoting cartilage repair due to their high surface area, excellent drug-loading capacity, and good biocompatibility. These advantages include facilitating chondrocyte generation through magnetic-mechanical control of mesenchymal stem cell microspheres and enhancing antioxidant levels using biomimetic liposomal NPs combined with glucosamine. Additionally, NPs can effectively modulate inflammatory responses, such as by inhibiting the formation of M1 macrophages and promoting their polarization to the M2 type to alleviate inflammation. Some NPs also enhance joint lubrication and relieve pain, such as hyaluronic acid-based NPs modified with choline phosphate groups. However, the application of NPs faces challenges such as high production costs, poor biocompatibility for certain types, and unknown long-term safety. Despite these challenges, with advancements in nanotechnology and a deeper understanding of the pathological mechanisms of OA, NPs are expected to provide new therapeutic approaches and more comprehensive and effective treatment options for OA patients in the future.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Osteoarthritis(OA)is a prevalent chronic degenerative disease in clinical practice,posing significant health threats while lacking specific effective treatments.In recent years,an increasing number of small molecules derived from traditional Chinese medicine have been utilized in experimental studies and clinical treatment of OA.The utilization of these small molecules aligns to a certain extent with traditional Chinese medical theories related to OA treatment.Moreover,due to their well-defined chemical structures and the reproducibility of their effects,along with relatively well-understood mechanisms,these compounds are gaining growing attention in the fields of OA research and clinical practice.To advance this field's development,this article systematically reviews the therapeutic efficacy and underlying mechanisms of various small molecules used for treating OA including curcumin,atractylenolide,resveratrol etc.,aiming to provide relevant background information and insights for researchers and clinicians.

Objective Exploring the relationship between changes in serum Golgi apparatus transmem-brane glycoprotein 73(GP73)and chitosanase 3-like protein 1(CHI3L1)levels and liver fibrosis and lesion sever-ity in patients with hepatitis B(CHB).Methods Using a case-control study,80 patients diagnosed with CHB infection and developing liver fibrosis in the Infectious Disease Department of Changsha First Hospital from June 2020 to June 2023 were selected as the liver fibrosis group,while 120 patients diagnosed with CHB infection but not developing liver fibrosis in the Infectious Disease Department of our hospital were selected as the control group.The serum GP3,CHI3L1,liver function,and fibrosis indicators of the two groups of patients were compared,and the liver fibrosis group was divided into mild according to Scheuer system standards Perform stratified analysis on patients with significant liver fibrosis.Results The serum GP3 and CHI3L1 levels in the liver fibrosis group were significantly higher than those in the control group,with statistical significance(P＜0.05);The ROC curves were plotted using serum GP3,CHI3L1,and GP3+CHI3L1,respectively.The sensitivity for diagnosing liver fibrosis in CHB patients was 62.81%,60.94%,and 96.33%,with specificity of 80.66%,80.05%,and 75.30%.The AUC values under the curves were 0.792,0.756,and 0.908,respectively;The levels of ALT,AST,HA,LN,PC III NP,C IV,and CG in the liver fibrosis group were higher than those in the control group,and the PLT measurement values were lower than those in the control group,with statistical significance(P＜0.05);49 patients with moderate to severe liver fibrosis(33 in S2 phase and 16 in S3 phase)and 31 patients with mild liver fibrosis(all in S1 phase)had significantly higher serum GP3 and CHI3L1 levels than mild patients,with statistical significance(P＜0.05);The levels of DBIL,ALT,AST,HA,LN,PC III NP,C IV,and CG in patients with moderate to severe liver fibrosis were higher than those in the mild group,and the PLT measurement values were lower than those in the mild group,with statistical significance(P＜0.05).Conclusion The serum GP3 and CHI3L1 levels in CHB patients with liver fibrosis are significantly elevated,and there is a certain correlation with the degree of liver fibro-sis.The combination of these two indicators is beneficial for diagnosing liver fibrosis in CHB patients.

Objective To investigate the effects of microgravity environment on hibernating myoblasts.Methods Hibernating myoblasts were cultured under real and simulated microgravity conditions for 10 days.RNA-seq analysis and immunofluorescence are used to analysis the impact of microgravity environment on cell growth and gene expression of myoblasts.Results Under the microgravity conditions,genes associated with proliferation were upregulated.Under simulated microgravity,there were more and higher proportion of Ki67 positive cells compared to normal gravity conditions.Conclusion The microgravity environment promotes the proliferation of hibernating myoblasts.

OBJECTIVE To investigate the variations in taste， aroma and volatile organic compounds of Rhei Radix et Rhizoma decoction pieces derived from different sources， and to identify their origins. METHODS The flavor， odor and volatile organic compounds of Rhei Radix et Rhizoma decoction pieces from different sources were compared and analyzed by using electronic tongue， electronic nose， and gas chromatography-ion mobility spectrometry （GC-IMS）. Principal component analysis （PCA）， partial least squares-discriminant analysis （PLS-DA）， orthogonal partial least squares discriminant analysis （OPLS-DA） and Fisher discriminant analysis were employed to identify the origins of Rhei Radix et Rhizoma decoction pieces and establish the basis discrimination criteria. RESULTS The differences in taste of Rhei Radix et Rhizoma decoction pieces from 3 origins were primarily characterized by bitterness， astringency， and bitter-astringent aftertaste. In terms of smell， variations were mainly observed in inorganic sulfides， organic sulfides containing aromatic components， methane and other short-chain alkanes， alcohols， ethers， aldehydes and ketones， as well as nitrogen oxides. Differentially volatile organic compounds mainly consisted of alcohols， aldehydes and ketones. Furthermore， the samples from 8 batches could be effectively classified into 3 categories.Three types of Rhei Radix et Rhizoma decoction pieces can be effectivily identified based on the peak intensity ratio between volatile substances. For example， when the peak intensity of 2-acetylfuran was 3-19 times that of isobutyric acid [dimer]， it was considered as Rheum officinale Baill. CONCLUSIONS The discriminant models established in this study， along with the criteria for determining the origins based on the peak intensity ofcharacteristic volatile compounds， can be utilized for the identification of Rhei Radix et Rhizoma decoction pieces.