Objective The aim of this study was to investigate the correlation between the interaction of uric acid and inflammatory factors and hyperuricemia in overweight/obese patients. Methods The personnel with hyperuricemia who underwent physical examination in our hospital from September 2021 to September 2022 were selected as the study subjects, and they were divided into 100 cases of overweight group and 90 cases of obese group according to the BMI index; 120 cases of healthy and non-hyperuricemic personnel were randomly selected as the control group; venous blood of the three groups was collected in 5 mL after 8 h of fasting, and were tested respectively for serum uric acid, lipid indexes and inflammatory factors: IL-6, IL-2, IFN-γ, TNF-α, IL-4, IL-10. Results Glucose, triglycerides, total cholesterol, and LDL were significantly higher in the obese group versus the overweight group (P<0.001), while HDL was significantly lower than the control group (P<0.001), and these changes were more pronounced in the obese group (P<0.001).The Pearson correlation coefficient pointed out that the levels of serum uric acid in patients with hyperuricosuric acid were significantly associated with the pro-inflammatory factors IL- 6, IL-2, IFN-γ, and TNF-α were significantly positively correlated (P<0.001), whereas they were significantly negatively correlated with the anti-inflammatory factors IL-4, IL-10 (P<0.001). Conclusion High uric acid levels in overweight/obese patients can cause enhanced inflammatory responses and reduced expression levels of anti-inflammatory factors, and the interaction between uric acid and pro-inflammatory factors aggravates the condition of patients with hyperuricemia.

Deubiquitinating enzymes are important hydrolases in the protein ubiquitin system,which regulate the dynamic balance of protein ubiquitination and deubiquitination by reversing ubiquitination,and play important roles in biological processes such as regulating protein stability,cell signal transduction,and cell apoptosis.As a member of the deubiquitinating enzyme family,ovarian tumor domain-containing protease(OTU)domain ubiquitin aldehyde binding 2(OTUB2)can play a key role in DNA damage,signal transduction,cell metabolism,and tumorigenesis by regulating the ubiquitination levels of various substrates.OTUB2 can be abnormally expressed in various cancers,and as a regulatory factor,it significantly affects the growth,development,proliferation,migration,and invasion of cancer cells,and is closely related to the prognosis of the patients,potentially becoming a novel cancer therapeutic target and prognostic biomarker.Currently,there are many studies on the molecular mechanisms of OTUB2,but there are few review reports focusing on its role in cancer.Based on the research results about OTUB2 at home and abroad,this article reviewed the biological function of OTUB2,related signaling pathways,and its latest progress in cancer research,analyzed the application of OTUB2 in cancer treatment and prognosis evaluation,and provided new ideas for future research on OTUB2.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective To explore the prevalence rate and related factors of urban and rural residents with hyperuricemia (HUA). Methods A total of 360 subjects in physical examination department of Sanliusan Hospital from January 2020 to January 2023 were selected and divided into urban residents and rural residents according to their permanent residence addresses, and the demographic information, living habits and underlying diseases were collected. Fasting blood glucose (FBG), serum uric acid (SUA), body mass index (BMI) and triglyceride (TG) were measured. The risk factors of HUA were analyzed by logistics regression analysis. Results The incidence rates of HUA in urban and rural residents were 12.18% and 12.88%. There were statistically significant differences in education level, occupation, BMI, sleep time, alcohol drinking, FBG and TG between urban and rural residents (all P<0.05). Logistics regression analysis showed that male, BMI>24 kg/m², alcohol drinking and chronic kidney disease were independent risk factors for HUA occurrence among urban residents (all P<0.05). Chronic kidney disease, FBG≥7.0 mmol/L and TG≥2.3 mmol/L were independent risk factors for hyperuricemia occurrence among rural residents (all P<0.05). Conclusion Rural residents should strengthen health education and blood glucose and lipid control, and urban residents should pay more attention to reasonable exercise, control alcohol consumption and reduce HUA occurrence.

Perimenopausal period is a period with high incidence of female depression, which shows the symptoms of depressed mood and disturbed mind. The pathogenesis of the disease is not clear and it is urgent to search for efficient treatment. Leptin is a hormone secreted by fat cells and plays a role in both metabolism and neuroprotection. In recent years, leptin has been reported to ameliorate perimenopausal depression, and leptin is closely related to estrogen synthesis and secretion. Therefore, leptin may be used as a potential molecular target for the treatment of perimenopausal depression. In this paper, the research on the relationship between leptin and perimenopausal depression is reviewed.
Depression ; Leptin ; Estrogens

In order to improve the management level of medicine list of medical institutions in China ，and help medical institutions build a medicine list of medical institutions with reasonable drug use structure ，standardized adjustment procedures ， convenient operation and application and scientific evaluation methods ，so as to meet the needs of clinical rational drug use to the greatest extent ，with the support of the Pharmaceutical Care Professional Committee of the Chinese Pharmaceutical Association ， China-Japan Friendship Hospital and the First Affiliated Hospital of University of Science and Technology of China （Anhui Provincial Hospital ）jointly initiate and complete Guideline for the Evaluation of Medicine List in Chinese Medical Institutions jointly with a number of medical institutions. In strict accordance with the methodological requirements of World Health Organization standard guidelines ，based on the Delphi method ，the guideline formulation working group has constructed the quality evaluation index system and quantitative scoring table of medicine list management in medical institutions from the 5 dimensions of organization and management ，structure，adjustment，application and e valuation of the list. It is used to help medical institutions evaluate the quality of their medicine list management ，so asto play a positive role in the fine management of medicine list in medical institutions.

【Objective】 To analyze the application value of transcutaneous electrical acupoint stimulation (TEAS) in treating blood donation-related vasovagal reaction (DRVR). 【Methods】 The donors, experienced DRVR in our No.1 and No.2 mobile blood donation trucks from January 2020 to November 2021, were selected as research subjects and divided into TEAS group and control group, according to different treatment methods.After the occurrence of DRVR, the control group adopted routine treatment methods, such as stoping phlebotomy immediately, laid flat on the back with the feet higher than the head, head tilted to one side, and loosing collar or tight clothes.In case of syncope, acupressure was given to Renzhong and Hegu, pulse and blood pressure were monitored, and blood donors were provided with proper amount of liquid after consciousness recovery.The TEAS group received extra TEAS treatment based on the above methods.According to the symptoms of DRVR, the two groups were sub-divided into non-syncope DRVR and syncope DRVR to observe the effect of different treatments. 【Results】 The total effective rate of TEAS in non-syncope DRVR(97.33%) and syncope DRVR group(97.06%) was higher than those of control group (vs 91.13% and 76.67%)(P<0.05). The changes of blood pressure and heart rate of blood donors before blood donation and after treatment with the two methods in the TEAS group were lower than those in the control group (systolic blood pressure change value 5.24±2.87 mmHg vs 7.42±3.44 mmHg, diastolic blood pressure change value 3.17±2.24 mmHg vs 3.67±2.51mmHg, heart rate change value 2.71±0.35 beats/min vs 3.46±0.49 beats/min), P<0.05. 【Conclusion】 TEAS has better effect than conventional treatments, especially for DRVR with syncope, and can quickly and effectively improve the syncope related symptoms and shorten the recovery time.Moreover, it is safe, non-invasive, simple economic and effective, which deserves application and popularization in mobile blood donation sites.

Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term fixed posture of the head and neck is one of the main causes of cervical spondylosis, a set of wearable cervical spondylosis prevention system is developed. The system comprises a head and neck movement collection module based on the acceleration sensor and a head and neck motion recognition module based on artificial intelligence. Experimental results showed that the system can accurately identify long-term posture of the head and neck, and guide users to complete effective exercise therapy under the supervision of motion recognition module. Using this system can be beneficial for the prevention of cervical spondylosis.
Acceleration ; Artificial Intelligence ; Cervical Vertebrae ; Exercise Therapy/instrumentation* ; Humans ; Movement ; Neck ; Posture ; Spondylosis/prevention & control* ; Treatment Outcome ; Wearable Electronic Devices

Objective To investigate the effect of microRNA361-5p on radiosensitivity of osteosarcoma cells and its downstream regulatory mechanisms.Methods The radioresistant osteosarcoma cell line HOS-R was constructed and the expression of microRNA-361-Sp in HOS and HOS-R cells was detected by RT-qPCR.The survival rate and apoptosis rate were detected by clone formation assay and flow cytometry in HOS-R cells treated with up-regulated or down-regulated of miR-361-Sp,or FOXM1 depletion.Dual fluorescent luciferase reporter and western blot assays were used to measure the relationship between miR-361-5p and FOXM1.he effects of miR-361-5p on radiosensitivity of osteosarcoma cells were determined by cloning formation assay and flow cytometry.Results RT-qPCR results showed that miR-361-5p was low expressed in HOS-R cells.Colony formation and flow cytometry assays demonstrated that overexpression of miR-361-5p significantly decreased the survival rate and increased the apoptosis rate of HOS-R cells.In contrast,FOXM1 downregulation inhibited cell survival rate and induced apoptosis.Moreover,miR-361-5p negatively regulated FOXM1 expression.Besides,FOXM1 overexpression attenuated the miR-361-5p upregulation-mediated promotion of radiosensitivity in HOS-R cells.Conclusion miR-361-5p was involved in the radiosensitivity of osteosarcoma cells by inhibiting FOXM1.