Objective:To investigate the effects and underlying mechanisms of Stat3 knockout in donor T cells on acute gastrointestinal graft-versus-host disease (GI-aGVHD) .Methods:BALB/c mice were exposed to lethal irradiation and transplanted with bone marrow and spleen cells from BALB/c mice (syngeneic control group), C57BL/6 mice (wild-type T cell group, WT group), or C57BL/6J-Stat3 em1cyagen mice (Stat3 gene knockout T cell group, Stat3-KO group) via tail vein injection to establish the aGVHD model. The survival rate, body weight changes, and clinical scores of mice were monitored. Cytometric bead array (CBA) was used to detect the concentrations of serum cytokines. Lymphocytes were isolated from tissues for flow cytometric analysis. H&E staining was performed to observe intestinal pathological changes. FITC-dextran assay was conducted to assess intestinal permeability. Immunohistochemistry was used to evaluate the expression of Ki67 and Muc2. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) was employed to analyze the gene expression levels of Olfm4, Lysozyme, and Muc2 in the small intestine. Metabolomics was conducted to detect metabolites in serum and intestinal tissues. An in vitro GI-aGVHD organoid model was established by coculturing intestinal organoids with allogeneic T cells, where the number and area of small intestinal organoids were recorded. The GVL effect was assessed using luciferase-transfected ALL cells (ALL/Luc) and bioluminescent imaging. Results:Compared with the WT group, Stat3 knockout T cells alleviated body weight loss, reduced symptoms—such as hunchback and diarrhea—in mice, improved survival rate ( P<0.05), and reduced serum interleukin (IL) -2, IL-6, interferon-γ, tumor necrosis factor-α, IL-17A, and IL-10 levels (all P<0.05), intestinal inflammatory cell infiltration ( P<0.05), and intestinal mucosal permeability. Further, Muc2 and Ki67 expression levels in the small intestine of the Stat3 knockout group were markedly increased, and Olfm4, Lysozyme, and Muc2 gene expression levels were significantly increased (all P<0.05). In vitro, the Stat3 knockout group demonstrated better organoid development than the WT group. Metabolomic analyses indicated that Stat3 knockout in T cells may affect the pathways associated with bile acid secretion and unsaturated fatty acids. ALL/Luc cells in the GVL mouse model proliferated rapidly in the TCD-BM group; however, 80% of the mice in the Stat3-KO group survived tumor-free for >100 days ( P<0.05) . Conclusion:Knocking out Stat3 in graft T cells reduces T cell damage to intestinal stem cells, thereby ultimately alleviating GI-aGVHD while maintaining a stable GVL effect.

Objective To investigate the protective effect of paravertebral nerve block combined with general anesthesia on liver injury after laparoscopic hepatectomy(LH).Methods A randomized controlled trial was conducted on 51 patients undergoing LH in our hospital between April and August 2024.They were randomly divided into control group(n=25,general anesthesia)and paravertebral block group(n=26,paravertebral nerve block before general anesthesia induction).Beside anesthesia,they received same other medical treatment.The following indicators were compared between the 2 groups,that is,serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBIL)and albumin(ALB),and systemic-immune inflammation(SII)index within 7 d before and on the 1st and 2nd days after surgery;heart rate and mean arterial pressure(MAP)before anesthesia induction(T1),before pneumoperitoneum establishment(T2),pneumoperitoneum establishment(T3),and at the first hilar occlusion(T4);usages of intraoperative norepinephrine,sevoflurane,and analgesic drugs 24 h postoperatively;as well as operation time,extubation time,and lengths of postanesthesia care unit(PACU)stay and hospital stay.Results The paravertebral block group had significantly lower ALT on the 1st day after surgery[178.40(126.55,325.86)vs 292.20(197.20,468.95)U/L],SII on the 2nd day after surgery[704.13(486.61,1 078.59)vs 1 075.09(753.80,1 614.38)],and amount of analgesic drugs in 24 h after surgery[29.70(27.37,32.07)vs 31.99(28.92,40.81)mg],and decreased MAP level at T3 and T4,early extubation,and shorter lengths of PACU stay and hospital stay when compared with the control group(all P<0.05).Conclusion Paravertebral nerve block combined with general anesthesia can reduce inflammatory responses,relieve postoperative pain,stabilize hemodynamics for patients undergoing LH,and thereby alleviate postoperative liver injury in them.

The Expert Consensus on the Deployment of DeepSeek in Medical Institutions serves as a detailed guideline for the deployment of DeepSeek in medical institutions. It was developed by experts in the fields of healthcare， hospital management， medical information， health policy， law， and medical ethics from nearly 30 leading domestic medical and academic research institutions， based on relevant domestic and international laws and regulations as well as the practices of medical institutions. It aims to provide medical institutions with a scientific， standardized， and secure deployment guideline to ensure that the application of artificial intelligence （AI） technologies in healthcare， including but not limited to DeepSeek， conforms to the unique characteristics of the healthcare industry and effectively promotes the improvement of medical service levels. From the three aspects of pre-deployment evaluation， deployment implementation， and post-deployment management and monitoring， the key factors that medical institutions should consider when introducing DeepSeek were elaborated in detail， including medical demand compatibility， technical capabilities and infrastructure， legal and ethical risks， data preparation and management， model selection and optimization， system integration and training， performance monitoring and continuous optimization， risk management and emergency response， as well as compliance review and evaluation. This provides a comprehensive deployment framework for medical institutions to ensure the safety and effectiveness of technology applications.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

This study investigated the incidence,prevention and control measures,diagnostic and treatment methods,and treatment costs of hoof diseases in dairy cows across 87 large-scale farms,aiming to provide a scientific basis and new insights for the treatment and prevention of hoof disea-ses in dairy herds.The results showed that the incidence rate of lameness in most farms was con-trolled between 3％and 7％,with a cure rate above 85％.The importance ranking of prevention and control measures was as follows:hoof trimming＞leveling the ground＞disinfection＞regular foot baths＞manure removal＞locomotion(lameness)scoring.The importance ranking of treat-ment measures was:hoof trimming＞disinfection and astringents＞anti-inflammatory treatment＞antibiotics＞block application＞traditional Chinese medicine(fire therapy).Economic analysis showed that the treatment cost of lameness was closely related to the incidence rate,with higher treatment expenses observed in farms with higher incidence rates.Farms with higher individual milk yields typically had more efficient disease management strategies,leading to lower treatment costs.Large-scale farms should continuously optimize management practices to reduce the occur-rence of lameness and improve overall farm efficiency by using effective treatment strategies.

Objective:To develop a scale to measure the sense of gain of the elderly, and to evaluate its reliability and validity.Methods:According to the content of the sense of gain, combined with the literature research method and interview method, the scale entry pool was established.After the expert consistency evaluation and the optimal test assembly method (OTA) analysis, the formal version of the scale was formed.The stratified sampling method was used to select 1 043 community-dwelling elders for the survey, and the reliability and validity of the scale were evaluated by methods based on classical test theory.Results:The scale of elderly sense of gain, which was screened by OTA method, included four dimensions: health status, relationship and communication, social security, and ideal expectation, with a total of 17 items. The Cronbach's α value of the formal version of the scale was 0. 850, and the Cronbach's α coefficients of the four dimensions were 0.721, 0.772, 0.779, and 0.930, respectively. The CR values of the combined reliabilities of each dimension were all above 0.7. In terms of AVE values, except for the health status dimension was acceptable, the other three dimensions were all above 0.36. The correlation coefficient between the sense of health acquisition and life satisfaction of the elderly was 0.531 ( P<0.01). Conclusion:The developed scale for measuring the sense of gain of the elderly has good reliability and validity, which can be used as an effective tool for measuring the sense of gain of the elderly.

Objective:To investigate the effects and underlying mechanisms of Stat3 knockout in donor T cells on acute gastrointestinal graft-versus-host disease (GI-aGVHD) .Methods:BALB/c mice were exposed to lethal irradiation and transplanted with bone marrow and spleen cells from BALB/c mice (syngeneic control group), C57BL/6 mice (wild-type T cell group, WT group), or C57BL/6J-Stat3 em1cyagen mice (Stat3 gene knockout T cell group, Stat3-KO group) via tail vein injection to establish the aGVHD model. The survival rate, body weight changes, and clinical scores of mice were monitored. Cytometric bead array (CBA) was used to detect the concentrations of serum cytokines. Lymphocytes were isolated from tissues for flow cytometric analysis. H&E staining was performed to observe intestinal pathological changes. FITC-dextran assay was conducted to assess intestinal permeability. Immunohistochemistry was used to evaluate the expression of Ki67 and Muc2. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) was employed to analyze the gene expression levels of Olfm4, Lysozyme, and Muc2 in the small intestine. Metabolomics was conducted to detect metabolites in serum and intestinal tissues. An in vitro GI-aGVHD organoid model was established by coculturing intestinal organoids with allogeneic T cells, where the number and area of small intestinal organoids were recorded. The GVL effect was assessed using luciferase-transfected ALL cells (ALL/Luc) and bioluminescent imaging. Results:Compared with the WT group, Stat3 knockout T cells alleviated body weight loss, reduced symptoms—such as hunchback and diarrhea—in mice, improved survival rate ( P<0.05), and reduced serum interleukin (IL) -2, IL-6, interferon-γ, tumor necrosis factor-α, IL-17A, and IL-10 levels (all P<0.05), intestinal inflammatory cell infiltration ( P<0.05), and intestinal mucosal permeability. Further, Muc2 and Ki67 expression levels in the small intestine of the Stat3 knockout group were markedly increased, and Olfm4, Lysozyme, and Muc2 gene expression levels were significantly increased (all P<0.05). In vitro, the Stat3 knockout group demonstrated better organoid development than the WT group. Metabolomic analyses indicated that Stat3 knockout in T cells may affect the pathways associated with bile acid secretion and unsaturated fatty acids. ALL/Luc cells in the GVL mouse model proliferated rapidly in the TCD-BM group; however, 80% of the mice in the Stat3-KO group survived tumor-free for >100 days ( P<0.05) . Conclusion:Knocking out Stat3 in graft T cells reduces T cell damage to intestinal stem cells, thereby ultimately alleviating GI-aGVHD while maintaining a stable GVL effect.

This study investigated the incidence,prevention and control measures,diagnostic and treatment methods,and treatment costs of hoof diseases in dairy cows across 87 large-scale farms,aiming to provide a scientific basis and new insights for the treatment and prevention of hoof disea-ses in dairy herds.The results showed that the incidence rate of lameness in most farms was con-trolled between 3％and 7％,with a cure rate above 85％.The importance ranking of prevention and control measures was as follows:hoof trimming＞leveling the ground＞disinfection＞regular foot baths＞manure removal＞locomotion(lameness)scoring.The importance ranking of treat-ment measures was:hoof trimming＞disinfection and astringents＞anti-inflammatory treatment＞antibiotics＞block application＞traditional Chinese medicine(fire therapy).Economic analysis showed that the treatment cost of lameness was closely related to the incidence rate,with higher treatment expenses observed in farms with higher incidence rates.Farms with higher individual milk yields typically had more efficient disease management strategies,leading to lower treatment costs.Large-scale farms should continuously optimize management practices to reduce the occur-rence of lameness and improve overall farm efficiency by using effective treatment strategies.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective:To develop a scale to measure the sense of gain of the elderly, and to evaluate its reliability and validity.Methods:According to the content of the sense of gain, combined with the literature research method and interview method, the scale entry pool was established.After the expert consistency evaluation and the optimal test assembly method (OTA) analysis, the formal version of the scale was formed.The stratified sampling method was used to select 1 043 community-dwelling elders for the survey, and the reliability and validity of the scale were evaluated by methods based on classical test theory.Results:The scale of elderly sense of gain, which was screened by OTA method, included four dimensions: health status, relationship and communication, social security, and ideal expectation, with a total of 17 items. The Cronbach's α value of the formal version of the scale was 0. 850, and the Cronbach's α coefficients of the four dimensions were 0.721, 0.772, 0.779, and 0.930, respectively. The CR values of the combined reliabilities of each dimension were all above 0.7. In terms of AVE values, except for the health status dimension was acceptable, the other three dimensions were all above 0.36. The correlation coefficient between the sense of health acquisition and life satisfaction of the elderly was 0.531 ( P<0.01). Conclusion:The developed scale for measuring the sense of gain of the elderly has good reliability and validity, which can be used as an effective tool for measuring the sense of gain of the elderly.