Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

This paper outlines the common aspects of constructing integrated urban medical groups,focusing on governance,organizational restructuring,operational modes,and mechanism synergy.It then delves into the challenges in China's group construction,highlighting issues with power-responsibility alignment,capacity evolution,incentive alignment,and performance evaluation.Finally,the paper suggests strategies to enhance China's compact urban medical groups,focusing on governance reform,capacity building,benefit integration,and performance evaluation.

α7 nicotinic acetylcholine receptor(α7nAChR)is widely expressed in the central nervous system and immune system,and plays a neuro-immunoregulatory role.On the one hand,α7nAChR is involved in the transmission of neurotransmitters,the conduction of excitatory signals and the maintenance of synaptic plasticity,which is of great significance for maintaining the normal and stable neurocognitive function.On the other hand,as an important part of the cholinergic anti-inflammatory pathway,α7nAChR is involved in the regulation of physiological and pathological processes such as inflammatory response,oxidative stress,apoptosis and autophagy in the central system,and plays an immunomodulatory and neuroprotective role,thus being potential target for improving perioperative neurocognitive function.This article reviews the biological characteristics of α7nAChR and its effect on perioperative neurocognitive function,in order to provide ideas and methods for clinical improvement of perioperative neurocognitive function in surgical patients.

AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of gastrodin,parishin E,syringin,parishin B,parishin C,ferulic acid,parishin A,buddleoside,harpagoside and cinnamic acid in Tianma Toufengling Capsules.METHODS The analysis was performed on a 30℃thermostatic GL Science InertsilTM ODS-3 column(150 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 220,280 nm.Syringin was used as an internal standard to calculate the relative correction factors of the other nine constituents,after which the content determination was made.RESULTS Ten constituents showed good linear relationships within their own ranges(r≥0.999 7),whose average recoveries were 98.53%-102.22%with the RSDs of 1.26%-2.68%.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate and specific method can be used for the quality control of Tianma Toufengling Capsules.

Objective The aim of this study was to assess the impact of bisphenol A (BPA) and its substitute, bisphenol F (BPF), on the colonic fecal community structure and function of mice.Methods We exposed 6-8-week-old male C57BL/6 mice to 5 mg/(kg·day) and 50 μg/(kg·day) of BPA or BPF for 14 days. Fecal samples from the colon were analyzed using 16S rRNA sequencing. Results Gut microbiome community richness and diversity, species composition, and function were significantly altered in mice exposed to BPA or BPF. This change was characterized by elevated levels of Ruminococcaceae UCG-010 and Oscillibacter and decreased levels of Prevotella 9 and Streptococcus. Additionally, pathways related to carbohydrate and amino acid metabolism showed substantial enrichment. Conclusion Mice exposed to different BP analogs exhibited distinct gut bacterial community richness, composition, and related metabolic pathways. Considering the essential role of gut bacteria in maintaining intestinal homeostasis, our study highlights the intestinal toxicity of BPs in vertebrates.

The usage of pesticides can enhance the production of crops,but their overuses may be hazardous to both people health and the environment.Thus,it is of great significance to develop effective methods to detect pesticides.Metal nanoclusters(MNCs)have become increasingly popular in analytical sensing areas because of their miniscule size,high stability,ease of manufacturing and good biocompatibility.They have exhibited great potential in the field of pesticides detection.In this paper,the detection methods of pesticides by using MNCs and their development in detection of organophosphorus pesticides,organic nitrogen pesticides,organochlorine pesticides and other types of pesticides were reviewed.Finally,the development prospects were discussed.

Objective To explore the effects of 1α,25-dihydroxyvitamin D3 on airway inflammation in asthmatic mice and the potential mechanisms.Methods Twenty-four female BALB/c mice in SPF grade were randomly divided into three groups(n=8):control group,asthma group,and asthma+VD3 group.On the 1st,8th,and 15th day,asthma group and asthma+VD3 group were given 0.2 ml ovalbumin(OVA)suspension for sensitization,while control group received 0.2 ml normal saline.On the 22-28th day,asthma group and asthma+VD3 group were challenged with 1%OVA atomization inhalation,while control group received an equal amount of normal saline atomization,for 30 minutes each time,once a day,for a continuous 7 days.Asthma+VD3 group was given intraperitoneal injection of 1α,25-dihydroxyvitamin D3 injection(4 μg/kg)30 minutes before each atomization,while control group and asthma group were given an equal dose of normal saline.After the last challenge,all mice were anesthetized,and serum,bronchoalveolar lavage fluid(BALF)and lung tissue samples were collected.HE staining and Periodic Acid Schiff(PAS)staining were used to observe the pathological changes in lung tissue and changes in airway mucus levels.ELISA was employed to detect serum IgE and inflammatory cytokines IL-4,IL-5 and IL-13 in BALF.Immunohistochemical technique and Western blotting were used to detect the expressions of SIRT1 and GATA-3 in mouse lung tissue.Results Compared with control group,asthma group had a significant increase in inflammatory cell infiltration around lung tissue,bronchia and accompanying perivascular,mainly characterized by eosinophils.Bronchial lumen stenosis,airway mucosal epithelial hyperplasia,and increased tracheal mucus secretion were also observed.The above changes in asthma+VD3 group were reduced compared with asthma group.Compared with control group,serum levels of IgE,and IL-4,IL-5,IL-13 inflammatory factors in BALF and GATA-3 in lung tissue were increased in asthma group(P<0.05),and SIRT1 level in lung tissue was significant decreased(P<0.05).Compared with asthma group,IgE level in serum,inflammatory factors of IL-4,IL-5 and IL-13 in BALF,and GATA-3 in lung tissue in asthma+VD3 group were decreased(P<0.05),and SIRT1 level in lung tissue was increased(P<0.05).Correlation analysis showed that the expression level of lung tissue SIRT1 was negatively correlated with the expression of GATA-3,serum IgG,and the levels of IL-4,IL-5,and IL-13 in BALF(P<0.05);the expression level of lung tissue GATA-3 was positively correlated with serum IgG and the levels of IL-4,IL-5,and IL-13 in BALF(P<0.05).Conclusion 1α,25-dihydroxyvitamin D3 can alleviate airway inflammation in asthmatic mice,possibly by upregulating the expression of SIRT1 in lung tissue and inhibiting the expression of GATA-3,thereby inhibiting inflammatory factors(IL-4,IL-5,IL-13).

When electrical stimulation is generated by the electrode arrays of cochlear implant(CI),the cur-rent-voltage distribution in the cochlea can be recorded by the electrodes and reflected as impedance or transimped-ance.Transimpedance matrix(TIM)measurement is an objective measurement tool that utilizes the telemetry func-tion of the cochlear implant,which has shown clinical applicability in recent years for cochlear implantation.TIM of-fers convenient operation,speedy data processing,and accurate results,and has demonstrated potential application in the evaluation of electrode position intraoperatively,measurement of postoperative psychophysical loudness and assessment of neural excitation diffusion.We will introduce the principles and methods of TIM measurement and re-view the main research progress in the application of TIM measurement in cochlear implantation.