ObjectiveTo investigate the association between triglyceride-glucose (TyG) index and the risk of stroke in middle-aged and elderly individuals with hypertension, so as to provide more evidence for the prevention and treatment of stroke. MethodsMiddle-aged and elderly hypertensive individuals who took part in all four surveys in 2011, 2013, 2015, and 2018 were selected as the research subjects based on data from the China Health and Retirement Longitudinal Study (CHARLS). Participants were divided into four groups (≤Q1， >Q1~Q2， >Q2~Q3， and >Q3) based on TyG index quartiles, and the cumulative risk of stroke in different groups was analyzed using the Kaplan-Meier method. Different Cox proportional hazards regression models were constructed to analyze the relationship between the TyG index and stroke risk. Sensitivity analysis were performed to evaluate the robustness of the results. ResultsA total of 4 596 participants were included in the study. Among them, 338 individuals (7.35%) had a stroke during the 7-year follow-up period. The cumulative risk of stroke increased with higher TyG index levels. Results from the Cox regression models indicated that higher TyG levels were associated with an increased risk of stroke among middle-aged and elderly individuals with hypertension. Compared with the lowest TyG index quartile (≤Q1: TyG index ≤8.33) group, the highest quartile (>Q3: TyG index >9.17) group showed a 45.10% increased risk of stroke (HR=1.451, 95% CI:1.017‒2.072). ConclusionA higher TyG index is associated with an increased risk of stroke in middle-aged and elderly individuals with hypertension.

Objective: To investigate the epidemic situation of notifiable infectious diseases in Zhejiang Province in 2024, so as to summarize the epidemic characteristics. Methods: Data of notifiable infectious diseases cases in Zhejiang Province from January 1 to December 31, 2024 were collected from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics were analyzed according to the classification and transmission routes using the descriptive epidemiological method. Results: A total of 32 types of notifiable infectious diseases with 1 858 695 cases and 392 deaths were reported in Zhejiang Province in 2024, with a reported incidence of 2 804.73/105 and a reported mortality of 0.591 5/100 000. A total of 238 infectious disease public health emergencies were reported, of which 218 (91.60%) occurred in schools and kindergartens. There were 22 types of class A and B notifiable infectious diseases reported, with incidence of 470.62/100 000 and mortality of 0.591 5/100 000. Totally 10 types of class C notifiable infectious diseases, with a reported incidence of 2 334.11/105, and no deaths were reported. Classified by transmission route, respiratory infectious diseases had the highest reported incidence of 2 423.87/100 000, among which influenza exhibited the highest reported incidence of 2 024.22/100 000. The reported incidence of intestinal infectious diseases was 312.94/105, among which the incidence of other infectious diarrhea and hand-foot-mouth disease (HFMD) were high, with reported incidences of 169.52/100 000 and 136.18/100 000, respectively. Blood-borne and sexually transmitted infectious diseases accounted for the largest number of reported deaths, among which AIDS had the highest mortality of 0.424 0/100 000. Natural and insect-borne infectious diseases exhibited a low reported incidence of 1.37/105. The reported incidence of dengue fever was 0.40/100 000, and 95.08% of the cases were imported. Conclusions The reported incidence of respiratory and intestinal infectious diseases and the reported mortality of AIDS were high in Zhejiang Province in 2024. It is recommended to strengthen the prevention and control of infectious diseases such as influenza, other infectious diarrhea, and HMFD in schools and kindergartens.

Objective To investigate the effects of Shengjiyuhong ointment on coagulation system,endothelial progenitor cells(EPCs)differentiation and Rho kinase activity in rats with thromboangiitis obliterans by inhibiting autophagy.Methods The rat model of thromboangiitis obliterans was established by injecting sodium laurate solution into the left lower limb artery.40 SD rats were randomly divided into sham operation group,model group,compound sodium aescinate gel group and Shengjiyuhong ointment group,10 per group.The pathological morphology of vascular tissue was detected by HE staining.The expression of autophagy related proteins was detected by Western blot,coagulation system parameters were detected by coagulation detector,EPCs differentiation was detected by flow cytometry,and Rho kinase activity was detected by immunohistochemistry.Results The expression of autophagy marker protein LC3Ⅱ/I,Beclin1,Rho kinase protein,the positive expression rate of CD34 in fibrinogen and EPCs of Shengjiyuhong ointment group were decreased,and the positive expression rate of serum prothrombin time,international normalized ratio,von Willebrand factor in EPCs and the expression of P62 in vascular tissue were increased(P＜0.05).The in vitro experiment showed that Shengjiyuhong ointment could reduce the expression of LC3Ⅱ/I and Beclin1,and increase the expression of P62 protein in injured endothelial cells(P＜0.05).Conclusion Shengjiyuhong ointment can effectively improve the coagulation function,promote the differentiation of EPCs and reduce the activity of Rho kinase in rats with thromboangIItis obliterans.The mechanism may be related to inhibition of autophagy.

Objective This study aimed to explore the potential categories and characteristics of the fear of falling in the initial ambulation day among patients who underwent major abdominal surgery,analyze the factors influencing different potential categories,and propose implications for the care of such patients.Methods A total of 213 patients who u nderwent elective major abdominal surgery in the Department of Gastrointestinal Gland Surgery and Hepatobiliary Surgery in the First Affiliated Hospital of Guangxi Medical University from April to August 2023 were selected as the study subjects.The general data questionnaire and the Revised Version of the Fall Fear Scale and Patient Fall Risk Perception Scale were used to investigate the patients on the day they first got out of bed after surgery.The potential profile of the fall fear characteristics of the study subjects was analyzed,and the relevant influencing factors among different categories were explored by univariate analysis,variance analysis,and logistic regression analysis.Results A total of 202 patients who underwent major abdominal surgery were included in this study.The total score of the fear of falling when getting out of bed for the first time was(35.28±8.85).The fear of falling showed 3 potential categories:low-level fear(22.28％),medium-level fear(47.52％),and high-level fear(30.20％).A significant difference was found in the first time of getting out of bed among different types of fear(H=19.292,P＜0.001).Results of multi-factor logistic regression analysis showed that patients with high levels of personal activity factors in fall perception and those who underwent pancreatic surgery were likely to develop medium-level fear(P=0.037).Patients with high levels of perceived environmental factors,high levels of perceived personal activity factors,and low self-efficacy were likely to develop high-level fear(P＜0.05).Conclusion The fear of falling on the initial ambulation day in patients who underwent major abdominal surgery was distributed in categories,and the proportion of patients with medium and high fear levels was high.Patients'fall risk perception,self-efficacy,and surgical site are important factors influencing fear of falling.Therefore,postoperative nursing staff should focus on developing targeted health education and activity programs to reduce the level of fall fear.

Objective To propose a multi-cascade deep learning processor-based surgical instrument detection and pose estimation algorithm to facilitate the robotic scurb nurse to recognize and delivery surgical instruments.Methods The proposed multi-cascade deep leaning processor-based CYSP algorithm was hibernated with several functional modules such as YOLOX with coordinate attention block(CA-YOLOX),segment anything model(SAM)and principal component analysis(PCA).Firstly,CA-YOLOX was applied to identifying the types of the surgical instruments and completing the coarse positioning of x and y coordinates;secondly,the SAM segmenter was used to clarify the positions of the instruments in the RGB image,and the depth information and internal parameters of the camera were introduced to obtain the point cloud of the surgical instruments;finally,the center of mass,principal direction and normal direction of the surgical instrument point cloud were determined through the PCA algorithm,with which the rotation and translation(RT)matrix between the target coordinate system(surgical instrument center of mass coordinate system)and the base coordinate system of the robotic arm was solved,and the matrix was converted into a quaternion and then transmitted to the robotic arm control unit so as to drive the robotic arm to arrive at the corresponding position and pick up the instrument to complete the instrument delivery task.Migration training was accomplished on a self-constructed surgical instrument image dataset and the effectiveness of the proposed algorithm was evaluated,and instrument delivery experiments were performed on a seven-degree-of-freedom robotic arm and the success rate of the algorithm was assessed.Results The multi-cascade deep leaning processor-based CYSP algorithm had a recognition accuracy of 98.52％on the surgical instrument dataset,a success rate of 94％for the in-strument delivery experiment and average time for recognition of 0.28 s.Conclusion The multi-cascade deep leaning proces-sor-based CYSP algorithm with high reliability and practicability behaves well in facilitating the robotic scurb nurse to recog-nize and deliver surgical instruments.[Chinese Medical Equipment Journal,2024,45(6):1-8]

In automatic skin damage analysis,segmentation is a challenging and critical operation due to factors such as the shape and contrast of hair and skin lesions on the skin.Compared with traditional segmentation methods,deep learning seamlessly integrates feature extraction and task-specific decision-making,achieving segmentation tasks more accurately and efficiently,and effectively reducing the burden and cost of skin cancer screening.This article first introduces the background of dermoscopic segmentation and deep learning models,and introduces the application of deep learning in dermoscopic segmentation.Secondly,this article introduces the algorithm models of convolutional neural networks and attention mechanisms,reviews the application of fused attention convolutional neural networks in dermoscopic segmentation since Jan 2022,and summarizes the improvement strategies,the advantages and disadvantages of the model.The model is further analyzed based on commonly used datasets of dermoscopy and evaluation indicators of image segmentation.Finally,the application of fused attention convolutional neural network in dermoscopic segmentation is summarized and prospected.

Epigenetic pathways play a critical role in the initiation, progression, and metastasis of cancer. Over the past few decades, significant progress has been made in the development of targeted epigenetic modulators (e.g., inhibitors). However, epigenetic inhibitors have faced multiple challenges, including limited clinical efficacy, toxicities, lack of subtype selectivity, and drug resistance. As a result, the design of new epigenetic modulators (e.g., degraders) such as PROTACs, molecular glue, and hydrophobic tagging (HyT) degraders has garnered significant attention from both academia and pharmaceutical industry, and numerous epigenetic degraders have been discovered in the past decade. In this review, we aim to provide an in-depth illustration of new degrading strategies (2017-2023) targeting epigenetic proteins for cancer therapy, focusing on the rational design, pharmacodynamics, pharmacokinetics, clinical status, and crystal structure information of these degraders. Importantly, we also provide deep insights into the potential challenges and corresponding remedies of this approach to drug design and development. Overall, we hope this review will offer a better mechanistic understanding and serve as a useful guide for the development of emerging epigenetic-targeting degraders.

BACKGROUND:With the deepening of the aging of the world population,the prevalence rate of osteoarthritis is increasing.In recent years,more and more attention has been paid to the study of osteoarthritis.Studies have shown that autophagy and apoptosis are strongly associated with the occurrence and development of osteoarthritis,and play an important role in it. OBJECTIVE:To review the molecular mechanisms of the interaction between autophagy and apoptosis in osteoarthritis,aiming to explore the relationship between autophagy and apoptosis in osteoarthritis and the coupling mechanism of the two to mediate the occurrence and development of osteoarthritis,so as to provide new ideas for the treatment of osteoarthritis. METHODS:The Chinese and English key words"osteoarthritis,autophagy,apoptosis"were searched in the CNKI and PubMed.After screening by reading the title,abstract and key words,the relevant literature was carefully read.After excluding studies unrelated to the content of the paper and repetitive studies,68 articles were finally included for the summary. RESULTS AND CONCLUSION:(1)The occurrence and development of osteoarthritis are related to autophagy and apoptosis of chondrocytes.Autophagy protects chondrocytes from stress damage,but excessive autophagy also induces or promotes chondrocyte apoptosis and reduces the survival rate of chondrocytes.The two perturb each other to regulate the degeneration of articular cartilage.(2)miRNA,Beclin-1 and oxidative stress are all involved in the regulation of autophagy and apoptosis on osteoarthritis,and affect the development of osteoarthritis.

Objective To investigate the effect and mechanism of rhubarb Tangluo pill on liver injury in type 2 diabetic rats.Methods ZDF(fa/fa)rats were given high-fat diet to induce type 2 diabetes model,and were randomly divided into model group,positive control group(0.18 g·kg-1 metformin)and experimental-L,-M,-H groups(0.54,1.08 and 2.16 g·kg-1 rhubarb Tangluo pill),with 8 rats in each group.Eight ZDF(fa/+)rats were selected as control group.The control group and model group were given equal volume of pure water once a day for 12 weeks.An oral glucose tolerance test(OGTT)was performed after administration.Fasting blood glucose level,body mass and liver mass of rats were measured and liver index was calculated.The contents of glutamic-pyruvic transaminase(GPT),glutamic oxalacetic transaminase(GOT),triglyceride(TG)and total cholesterol(TC)in serum were detected.The histomorphologic changes of liver were observed by hematoxylin-eosin(HE)staining and Masson staining.The protein expression of phosphorylated insulin receptor substrate 1(p-IRS1),phosphorylated protein kinase B(p-Akt)and glucose transporter 4(GLUT4)were detected by Western blotting.Results After administration,the fasting blood glucose levels of control group,model group,positive control group and experimental-H group were(4.71±0.45),(29.9±2.97),(15.28±4.52)and(13.84±1.55)mmol·L-1,respectively;the liver index were 2.31±0.46,4.03±0.18,3.37±0.23 and 3.38±0.24;the relative expression level of p-IRS1 protein were 1.00±0.36,4.00±0.11,1.62±0.27 and 1.90±0.17,respectively;the relative expression levels of p-Akt protein were 1.00±0.25,0.21±0.04,0.73±0.15 and 0.54±0.04,respectively;GLUT4 protein relative expression levels were 1.00±0.11,0.40±0.08,0.86±0.04 and 0.70±0.06,respectively.Compared with the model group,the above indexes in the experimental-H group were statistically significant(P＜0.01,P＜0.05).Conclusion Rhubarb Tanglu pill can effectively improve glycolipid metabolism and liver injury in type 2 diabetes mellitus,and its mechanism may be related to the activation of IRS1/Akt signaling pathway.

Three-dimensional ordered porous carbon materials exhibit potential application prospects as excellent drug supports in drug delivery systems due to their high specific surface area, tunable pore structure, and excellent biocompatibility. In this study, three-dimensional ordered porous carbon materials were prepared using Acanthopanax senticosus herbal residues as raw material and KOH as activating agent through a one-step pyrolysis method. The prepared carbon-based material was systematically characterized by powder X-ray diffraction, scanning electron microscopy, N₂ adsorption-desorption and Fourier-transform infrared spectroscopy. The results show that the three-dimensional ordered porous carbon materials prepared with KOH as the activator via pyrolysis possess abundant functional groups, high porosity, and high specific surface area, with a specific surface area of 1 471.6 m²·g^-1. The three-dimensional ordered porous carbon materials prepared at 800 ℃ exhibits a high drug loading capacity (78.0%) and drug release rate (86.8%) for 5-fluorouracil. Three-dimensional orderly porous carbon materials show significant application advantages in drug construction, and their high specific surface area and adjustable pore size structure significantly improve the drug load rate and drug release rate, providing a solid foundation for the development of efficient and accurate drug delivery system.