ObjectiveTo investigate the protective effect of α-ketoglutarate （α-KG） on hepatic lipid deposition in offspring caused by arsenic exposure during pregnancy. Methods8-week-old institute of cancer research （ICR） mice were mated in a ratio of 2∶1 between females and males， and the detection of vaginal plugs confirmed pregnant. A total of 32 pregnant mice were randomly divided into four groups： control group， arsenic group， α-KG group， arsenic+α-KG group. On gestational day 0-16 （GD0-GD16）， the arsenic and arsenic+α-KG groups were exposed to sodium arsenite （NaAsO₂ ，15 mg/L） in drinking water everyday， and the α-KG and arsenic+α-KG groups were gavaged with α-KG （2 g/kg） everyday. On GD16， pregnant mice were euthanized to collect fetal liver， and fetal body weight and crown-rump length were measured. Gene expression differences between the control group and the arsenic group were analyzed by transcriptome. The total triglycerides （TGs） and subtypes in fetal liver were detected by liquid chromatography tandem mass spectrometry （LC-MS/MS）. Oil red O staining was used to observe the histopathological changes in the liver. Quantitative polymerase chain reaction （qPCR） was used to detect the expression level of genes related to lipid synthesis， transport， and degradation， and phosphatidylinositol 3' -kinase/ protein kinase B （PI3K/AKT） in the liver of fetus. ResultsTranscriptomics analysis showed that 2 144 genes were downregulated and 1 675 genes were upregulated in the arsenic exposed fetal liver； body weight and crown-rump length were reduced （P_TuKey<0.05）； the level of hepatic TGs was elevated in arsenic group （P_TuKey<0.05）； oil-red O staining showed a significant increase in lipid droplets in arsenic group （P_TuKey<0.01）； the expression of lipid synthesis-related genes were significantly upregulated （P_TuKey<0.05）； the expression of β-oxidation-related genes and lipid degradation-related genes were downregulated （P_TuKey<0.05）； the expression of PI3K， AKT decreased（P_TuKey<0.05）. Compared with the arsenic group， the body weight and crown-rump length of fetus increased in the arsenic+α-KG group （P_TuKey<0.05）； the level of hepatic TGs decreased in the arsenic+α-KG group （P_TuKey<0.05）； oil red O staining showed lipid droplets significantly decreased （P_TuKey<0.01）； the expression of lipid synthesis-related genes were downregulated （P_TuKey<0.05）， the expression of β-oxidation-related genes and lipid degradation-related genes were upregulated （P_TuKey<0.05）； the expression levels of PI3K and AKT increased （P_TuKey<0.05）. Conclusionα-KG alleviated hepatic lipid deposition in offspring exposed to arsenic during pregnancy through activating PI3K/AKT signaling pathway.

Objective To explore the correlation between kinesiophobia and disease uncertainty, personal mastery, cardiac discomfort symptoms in patients with acute myocardial infarction (AMI) during recovery period. Methods A total of 320 patients with AMI admitted to the hospital were enrolled between January 2020 and January 2024. According to the results of Tampa Scale for Kinesiophobia Heart (TSK-H), they were divided into AMI kinesiophobia group (n=166) and simple AMI group (n=154). The disease uncertainty was evaluated by Mishel Uncertainty in Illness Scale for Adults (MUIS-A), personal mastery was evaluated by Personal Mastery Scale (PMS), and cardiac discomfort symptoms were evaluated by cardiac discomfort symptom scale. The correlation between kinesiophobia and disease uncertainty, personal mastery, cardiac discomfort symptoms in AMI patients was analyzed by Pearson correlation analysis. Results The scores of MUIS-A and cardiac discomfort symptoms in AMI kinesiophobia group were higher than those in simple AMI group (P<0.05), and PMS scores were lower than those in simple AMI group (P<0.05). The score of kinesiophobia was significantly positively correlated with scores of disease uncertainty and cardiac discomfort symptoms (r=0.628, 0.689, P<0.05), while significantly negatively correlated with the score of personal mastery (r=-0.526, P<0.05). Conclusion Kinesiophobia is related to disease uncertainty, personal mastery and cardiac discomfort symptoms in AMI patients during recovery period. Clinical medical staffs should focus on patients with the above characteristics. The targeted intervention measures can improve kinesiophobia and promote recovery of patients.

Objective To investigate the current status of adverse drug reaction(ADR)monitoring in medical institu-tions under China's pharmacovigilance framework in Guangdong Province,and to propose evidence-based strategies for enhancing institutional monitoring capabilities.Methods A cross-sectional survey was conducted using a structured questionnaire devel-oped in alignment with national regulatory requirements and expert consensus.Data were collected from 65 medical institutions,including general hospitals,traditional Chinese medicine hospitals,and maternal/children's hospitals,across 21 prefecture-level cities in Guangdong.Descriptive and comparative analyses were performed to evaluate institutional practices.Results All 65 in-stitutions submitted valid responses.Among them,63(96.9％)had established standardized ADR reporting protocols,with 93.8％(61/65)delegating oversight to pharmacy departments.ADR data were predominantly collected via institutional informa-tion systems(67.7％,44/65),though these systems focused on passive reporting and basic data aggregation,lacking functional-ities for active signal detection or risk alert mechanisms.Significant disparities(P＜0.05)were observed across hospitals of dif-ferent tiers in reporting modalities,system sophistication,analytical frequency,and early warning implementation.Notably,mo-nitoring practices for conditionally approved drugs(e.g.,emergency-authorized therapeutics)exhibited systemic deficiencies.Conclusions To address these gaps,the following measures are recommended:Accelerating the adoption of intelligent monito-ring systems to enable real-time ADR detection and predictive analytics;Implementing tiered resource allocation policies to ensure equitable capability development;Establishing specialized protocols for high-risk pharmaceuticals,particularly conditionally ap-proved and fast-tracked drugs;Strengthening interdisciplinary training programs to improve pharmacovigilance literacy among healthcare practitioners.These interventions aim to foster a proactive risk management culture and advance patient safety within China's evolving healthcare landscape.

In 2023, new diagnostic criteria were proposed to distinguish myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) from other inflammatory diseases of the central nervous system.With typical clinical presentation and neuroimaging features, the seropositive status of anti-myelin oligodendrocyte glycoprotein-IgG (MOG-IgG) is essential for the diagnosis of MOGAD.Advances in cell transfection immunofluorescence assays have improved diagnostic accuracy in the last few years, but there are differences in the positive predictive value of serum MOG-IgG titers in the context of different MOGAD prevalence.Therefore, alternative diagnostic methods need to be further explored, and the clinical significance of low MOG-IgG titers should be carefully interpreted.In this review, the main clinical features, current understanding and challenges of MOGAD were discussed, including uncertainties about the specificity and pathogenicity of myelin oligodendrocyte glycoprotein autoantibodies and the need to identify immunopathological targets for future therapies.Moreover, it is necessary to search for and validate biomarkers that can help diagnose and detect disease activity, and it is important to identify MOGAD patients who need long-term immunotherapy.

Objective To evaluate the efficacy of the venous thromboembolism(VTE)digital risk prevention and control platform based on whole-process closed-loop management for the quality management of VTE in Peking University Shenzhen Hospital.Methods The data of 360 718 hospitalized patients from 2021 to 2024 were collected to analyze the rate of VTE risk assessment,the proportion of VTE intermediate and high-risk patients,the rate of VTE prophylaxis implementation(physical/pharmacological),and the VTE outcome indexes,and the differences between groups were verified using the Cochran-Armitage χ2 trend test.Results The VTE initial risk assessment rate,the implementation rate of VTE physical prophylaxis,and the rate of VTE pharmacological prophylaxis all showed an upward trend;the incidence rate of hospital correlated VTE,and the incidence rate of VTE in hospitalized surgical patients all showed a downward trend.Conclusion The establishment of the VTE digital risk prevention and control intelligent platform can effectively improve the level of standardized prevention and treatment of in-hospital VTE and the efficacy of quality management,and provide a digital management paradigm for the implementation of the national healthcare quality and safety improvement goals and the monitoring indicators of surgical quality and safety improvement actions.

Medical image recognition is a technology that utilizes computer algorithms to process,analyze and understand medical images,aiming to identify various patterns,targets and objects,thereby aiding doctors in more accurate diagnosis and treatment.Current researches in medical image recognition mainly focuses on medical image classification,lesion location and segmentation,image registration and fusion,content-based image retrieval,as well as three-dimensional reconstruction and visualization.The review provides a summary of the research directions and trends in medical image recognition,introducing concepts and technologies such as deep learning,multimodal fusion,three-dimensional reconstruction and visualization.It also highlights the applications of medical image recognition in medical imaging diagnosis,pathological analysis and radiotherapy planning,while pointing out the existing problems and challenges.Furthermore,the future developments and challenges of medical image recognition technology are put forward for providing a reference for medical image recognition research and clinical medical image analysis.

Objective To investigate the current status of adverse drug reaction(ADR)monitoring in medical institu-tions under China's pharmacovigilance framework in Guangdong Province,and to propose evidence-based strategies for enhancing institutional monitoring capabilities.Methods A cross-sectional survey was conducted using a structured questionnaire devel-oped in alignment with national regulatory requirements and expert consensus.Data were collected from 65 medical institutions,including general hospitals,traditional Chinese medicine hospitals,and maternal/children's hospitals,across 21 prefecture-level cities in Guangdong.Descriptive and comparative analyses were performed to evaluate institutional practices.Results All 65 in-stitutions submitted valid responses.Among them,63(96.9％)had established standardized ADR reporting protocols,with 93.8％(61/65)delegating oversight to pharmacy departments.ADR data were predominantly collected via institutional informa-tion systems(67.7％,44/65),though these systems focused on passive reporting and basic data aggregation,lacking functional-ities for active signal detection or risk alert mechanisms.Significant disparities(P＜0.05)were observed across hospitals of dif-ferent tiers in reporting modalities,system sophistication,analytical frequency,and early warning implementation.Notably,mo-nitoring practices for conditionally approved drugs(e.g.,emergency-authorized therapeutics)exhibited systemic deficiencies.Conclusions To address these gaps,the following measures are recommended:Accelerating the adoption of intelligent monito-ring systems to enable real-time ADR detection and predictive analytics;Implementing tiered resource allocation policies to ensure equitable capability development;Establishing specialized protocols for high-risk pharmaceuticals,particularly conditionally ap-proved and fast-tracked drugs;Strengthening interdisciplinary training programs to improve pharmacovigilance literacy among healthcare practitioners.These interventions aim to foster a proactive risk management culture and advance patient safety within China's evolving healthcare landscape.

The mechanism of neuropathic pain after spinal cord injury is still unclear, which might be closely related to ion channel changes, central sensitization and decreased function of descending inhibitory system after injury. Existing studies have shown that the nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) inflammasome play a key role in neuropathic pain after spinal cord injury; therefore, targeting NLRP3 inflammasome is a promising therapeutic strategy. This review analyzes the molecular mechanism and treatment of NLRP3 inflammasome in neuropathic pain after spinal cord injury, aiming to provide references for pathogenesis and treatment of neuropathic pain after spinal cord injury.

Objective To evaluate the efficacy of the venous thromboembolism(VTE)digital risk prevention and control platform based on whole-process closed-loop management for the quality management of VTE in Peking University Shenzhen Hospital.Methods The data of 360 718 hospitalized patients from 2021 to 2024 were collected to analyze the rate of VTE risk assessment,the proportion of VTE intermediate and high-risk patients,the rate of VTE prophylaxis implementation(physical/pharmacological),and the VTE outcome indexes,and the differences between groups were verified using the Cochran-Armitage χ2 trend test.Results The VTE initial risk assessment rate,the implementation rate of VTE physical prophylaxis,and the rate of VTE pharmacological prophylaxis all showed an upward trend;the incidence rate of hospital correlated VTE,and the incidence rate of VTE in hospitalized surgical patients all showed a downward trend.Conclusion The establishment of the VTE digital risk prevention and control intelligent platform can effectively improve the level of standardized prevention and treatment of in-hospital VTE and the efficacy of quality management,and provide a digital management paradigm for the implementation of the national healthcare quality and safety improvement goals and the monitoring indicators of surgical quality and safety improvement actions.

Medical image recognition is a technology that utilizes computer algorithms to process,analyze and understand medical images,aiming to identify various patterns,targets and objects,thereby aiding doctors in more accurate diagnosis and treatment.Current researches in medical image recognition mainly focuses on medical image classification,lesion location and segmentation,image registration and fusion,content-based image retrieval,as well as three-dimensional reconstruction and visualization.The review provides a summary of the research directions and trends in medical image recognition,introducing concepts and technologies such as deep learning,multimodal fusion,three-dimensional reconstruction and visualization.It also highlights the applications of medical image recognition in medical imaging diagnosis,pathological analysis and radiotherapy planning,while pointing out the existing problems and challenges.Furthermore,the future developments and challenges of medical image recognition technology are put forward for providing a reference for medical image recognition research and clinical medical image analysis.