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.

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.

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.

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 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).

Aim To investigate the protective poten-tial of paeoniflorin 6-oxy-benzenesulfonate(CP-25)in preserving knee cartilage integrity in osteoarthritis mice through inhibition of GRK2 activity.Methods The posttraumatic osteoarthritis model was established fol-lowing DMM surgery.The experiment consisted of a sham operation group,a model group,a CP-25 admin-istration group,and a paroxetine positive control group.Intragastric administration commenced after the surgery.After 12 weeks of administration,the animals were euthanized.Micro-CT imaging was used to ob-serve the knee cartilage degeneration and abnormal bone remodeling,and the joint histopathology of mice was observed by staining with ferrubens solid green.Immunohistochemistry and immunofluorescence were used to detect the expression level of related molecules in cartilage tissue.Furthermore,Western blot was em-ployed to determine GRK2 and EP4 membrane protein expression levels as well as total protein levels of GRK2 and MMP13 following CP-25 treatment.Results Compared with the sham operation group,the articular cartilage in the model group was significantly degrad-ed,with the cartilage surface calcifying and osteo-phytes forming.CP-25 could significantly reduce the number of osteophytes and the thickness of the sub-chondral plate of articular cartilage,promote the regen-eration of the cartilage matrix,reduce the expression of cartilage matrix degradation protein,and have a signifi-cant protective effect on knee cartilage.Immunohisto-chemical and immunofluorescence results showed that compared with the model group,CP-25 treatment sig-nificantly decreased the expressions of GRK2,AD-AMTS5 and MMP13 in knee tissue and increased the expressions of Col Ⅱ and Aggrecan in knee tissue.The results of in vitro experiments showed that CP-25 ad-ministration could significantly reduce the expression levels of GRK2 membrane protein and total protein,in-crease the level of EP4 membrane protein,and de-crease the level of MMP13.Conclusions The ad-ministration of CP-25 can significantly promote the re-generation of articular cartilage matrix in OA mice,re-duce the degradation of cartilage matrix,and exhibit therapeutic effects on OA.The mechanism behind this is related to the inhibition of GRK2-mediated cartilage matrix metabolism.

Endothelial to mesenchymal transition(EndMT)is a process in which endothelial cells lose their endothelial pheno-type and function and gain mesenchymal phenotype and func-tion.During the embryonic period,EndMT is an essential mech-anism for the development of heart valves,pulmonary arteries and aorta.In recent years,numerous studies have shown that EndMT is also involved in the occurrence and development of cardiovascular diseases such as atherosclerosis,cardiac fibrosis,pulmonary hypertension,and cerebrovascular malformation.In addition,EndMT is also an important mechanism of other organ fibrosis and tumors.Non-coding RNAs(ncRNAs)refer to RNAs that are transcribed from the genome but do not translate into proteins.Studies have shown that the abnormal expression of ncRNAs can participate in various diseases by regulating End-MT.Such ncRNAs with regulatory functions mainly include mi-croRNA(miRNA),long non-coding RNA(lncRNA)and cir-cular RNA(circRNA).This review summarizes the molecular mechanisms by which ncRNAs regulate EndMT in various disea-ses,looking forward to the application prospects of ncRNAs in the treatment of EndMT-related diseases.

Aim To study the effects of different peri-ods of hypoxia on gastrointestinal stress in mice by sim-ulating hypoxia environment at high altitude in a low-pressure oxygen chamber.Methods The normal con-trol group and the model group for 1,3 and 5 days were set up according to different periods of hypobaric hypoxia.The intestinal propulsion rate,visceral sensi-tivity and pathological damage of gastrointestinal tract were detected after hypobaric hypoxia treatment.The contents of IL-1 β,IL-6 and TNF-α in gastrointestinal tract and the contents of gastrointestinal hormone,di-amine oxidase and D-lactic acid were detected by en-zyme-linked immunosorbent assay(ELISA).The ex-pressions of tight-junction protein and tight junction in-jury pathway protein in intestinal tissues were detected by Western blot.Results Compared with the control group,the intestinal propulsion rate of the model group was accelerated,and the intestinal sensitivity in-creased.The expression of intestinal mucosal injury markers increased.Gastrointestinal motility inhibiting hormone decreased and gastrointestinal motility promo-ting hormone increased.The expression of tight junc-tion proteins ZO-1,claudin-1,occludin and VASP of tight junction injury-related pathway decreased,while the expression of NF-κB,HIF-1α and VEGF in tight junction injury-related pathway increased.The expres-sions of IL-1 β,IL-6 and TNF-α in gastrointestinal tis-sue increased.The content of pepsin in gastric tissue increased.The injury of gastrointestinal tissue was less in the 1-day group,and more serious in the 3-day and 5-day groups.Conclusions Stress injury occurs in the gastrointestinal tract of mice at different time points in hypoxia and hypoxia environment,and the gastroin-testinal function injury is more serious after three days of exposure,which may be related to the activation of NF-κB/HIF-1α/VEGF/VASP pathway.

Coronary atherosclerotic heart disease(CHD)is an ischemic cardiovascular condition caused by the narrowing or blockage of the vascular lumen due to coronary atherosclerosis.Clinically,it presents as angina pectoris,heart failure,or sud-den cardiac death,and stands as one of the primary causes of mortality among both urban and rural populations in China.Cir-cRNA,classified as non-coding RNAs,can function as upstream regulatory molecules for miRNA or RNA-binding proteins.They actively participate in various pathological processes associated with CHD,including endothelial cell dysfunction,smooth mus-cle cell migration,macrophage-derived foam cell formation,an-giogenesis,myocardial injury,and repair,as well as post-in-farction heart failure.The expression pattern of these molecules is highly specific to the illness and tissue,indicating their poten-tial as therapeutic targets for disease management and as biomar-kers.Furthermore,they also open up new avenues for drug tar-get development in the field of traditional Chinese medicine.This article aims to provide an overview of the recent research progress on circRNA in the regulation of coronary heart disease,as well as the mechanisms involved in traditional Chinese medi-cine.It serves as a valuable reference for future research on cor-onary heart disease.