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.

Objective To construct an age prediction model for adolescents using radiomics from oral panoramic radiographs.Methods Panoramic radiographic images of 441 adolescent patients aged 11.00～13.99 years were imported into the open-source software 3D Slicer for segmentation of regions of interest(ROI).Python was used to extract all features from the ROIs of all patients.The patients were randomly divided into a training set and a test set at a ratio of 7∶3.Machine learning methods were applied to analyze the correlation between radiomics features and age characteristics to build the age prediction model.Results Out of 863 two-dimensional radiomics features,10 were selected.Three machine learning methods—support vector machine,random forest,and logistic regression—were used to train the model on the training set,and the best machine learning model was chosen.The performance of the machine learning models was evaluated using the Area Under Curve(AUC).In the test set,the AUCs for females were 0.795,0.830,and 0.795 for the three methods respectively,while for males,they were 0.830,0.864,and 0.846.Conclusion The radiomics model based on oral panoramic radiographs demonstrates good diagnostic efficacy and can be used for age prediction.

Objective To explore the clinical effect of applying an improved"outside-in"technique in hip arthroscopic surgery.Methods Totally 136 patients undergoing hip arthroscopic surgery between June 2021 and July 2023 were selected and studied retrospectively.According to their different surgi-cal approach,they were divided into a modified approach group(n=75,including 30 males and 45 fe-males,with an average age of 36±14)and a classic approach group(n=61,including 33 males and 28 females,with an average age of 31±11).Before as well as 4 weeks,3 months and 6 months after the surgery,both groups were evaluated using the visual analog scale(VAS)and Harris hip score,and observed their surgical complications.Moreover,the surgical outcomes and time of sur-gical approach establishment were compared between the two groups.Results There was no significant difference between the two groups in general information,preoperative VAS and Harris scores.More-over,no significant difference was found between the two groups in the Harris score after surgery.Compared with the classic approach group,the improved group had significantly less surgical time(49.0±16.9 min vs.66.0±13.3 min,P<0.05),without using the C-arm fluoroscopy during surgery.Moreover,in the modified approach group,the time for establishing the mid-anteriorapproach was sig-nificantly shortened(10.4±5.9 min vs.25.9±15.1 min,P<0.05),along with the traction time during surgery(66.0±13.3 min vs.49.0±16.9 min,P<0.05).Conclusion The modified"outside-in"hip ar-throscopy technique is a safe and effective surgical method,easier to operate,with shorter surgical time.

Objective To investigate the mechanism by which Senegenin(SEN)alleviates microglial inflammatory response through the nuclear factor erythroid 2-related factor 2(Nrf2)/NOD-like receptor protein 3(NLRP3)pathway.Methods BV2 mouse microglia cells were randomly divided into control group,model group,SEN group and MCC950 group.Cells in control group were not treated,and cells in model group were added with 1 μg/ml lipopolysaccharide(LPS);Cells in SEN group were added with 1 μg/ml LPS+4 μmol/L SEN,and cells in MCC950 group were added with 1 μg/ml LPS+10 μmol/L MCC950 for 24 hours.CCK-8 method was used to detect the effect of different concentrations of SEN on the viability of BV2 cells.Griess method was used to determine the release amount of nitric oxide(NO)in the supernatant.Real-time fluorescent quantitative PCR was used to determine the mRNA expression levels of NLRP3,lymphocyte apoptosis-associated spect-like protein containing a CARD(ASC),caspase-1,interleukin(IL)-1β and IL-18 mRNA.Immunofluorescence staining was used to detect the expression levels of ASC,IL-1β,Nrf2 and heme oxygenase-1(HO-1).Western blotting was used to detect the expression levels of NLRP3,caspase-1,ASC,IL-1β,IL-18,Nrf2,HO-1,nuclear factor kappa B(NF-κB)and inducible nitric oxide synthase(iNOS).Results The results of CCK-8 method showed that there was no significant difference in the viability of BV2 cells treated with 2～20 μmol/L SEN compared with control group(P>0.05).Compared with control group,the viability of BV2 cells in model group decreased significantly(P<0.05).Compared with model group,the viability of BV2 cells in 4 μmol/L SEN group was significantly restored(P<0.05).Compared with control group,the results of Griess method showed that the release amount of NO in cells of model group increased significantly(P<0.05);the results of real-time PCR showed that the expression levels of NLRP3,ASC,caspase-1,IL-1β and IL-18 mRNA in cells of model group increased significantly(P<0.05);the results of Western blotting showed that the protein expression levels of NLRP3,ASC,caspase-1,IL-1β and IL-18 proteins in cells of model group increased significantly(P<0.05),and the immunofluorescence staining results showed that the expression levels of iNOS and NF-κB protein in cells of model group increased,and the expression levels of Nrf2 and HO-1 decreased,with statistically significant differences(P<0.05).Compared with model group,the release amount of NO in cells of SEN group and MCC950 group decreased,and the expression levels of NLRP3,ASC,caspase-1,IL-1β and IL-18 mRNA and proteins decreased,with statistically significant differences(P<0.05);in the SEN group,the expression levels of iNOS and NF-κB decreased,and immunofluorescence staining showed that Nrf2 was translocated into the nucleus,and the expression levels of Nrf2 and HO-1 proteins increased significantly,with statistically significant differences(P<0.05).Conclusions SEN could alleviate the inflammatory response of mouse microglia cells induced by LPS and inhibit the activation and expression of NLRP3 inflammasome,with an effect comparable to that of the inflammasome inhibitor MCC950.The mechanism may be related to the regulation of the expression of upstream factors Nrf2 and HO-1.

To investigate the association between obesity-related metabolic indices and the risk of knee osteoarthritis(KOA) in middle-aged and older Chinese adults(≥45 years) using data from the China Health and Retirement Longitudinal Study(CHARLS).

Although teniposide(VM26)is widely used in the treatment of lymphoma,its poor water sol-ubility,low bioavailability and systemic toxicities still limit its clinical application.Nano-delivery systems are effective in increasing the bioavailability and reducing the toxicity of VM26,but there is an urgent need to overcome the problem of its non-specific targeting.Therefore,in this paper,we designed and constructed a hyaluronic acid-modified teniposide-targeted nano-delivery system(VM26-TNDS),and characterised its drug encapsulation rate,particle size and zeta potential.We also investigated the effects of VM26-TNDS on B-cell lymphoma cells with different expression of CD44 receptor,in terms of cellular targeting,inhibitory effect of proliferation,and induction of apoptosis and necrosis.The results showed that the drug encapsulation efficiency of VM26-TNDS exceeded 85％,and its liquid formulation could be stably stored at 4 ℃ for more than 6 months without precipitation.Based on CD44 receptor expression,Granta-519(high expression),Raji(medium-low expression)and SU-DHL-4(almost no expression)were screened for cellular experiments.Compared with VM26-NDS,the targeted modification could effec-tively reduce the uptake of VM26-TNDS by RAW264.7 and increase the uptake of VM26-TNDS by CD44 receptor-expressing lymphoma cells.The inhibitory proliferative effect and apoptotic necrosis-inducing a-bility of VM26-TNDS were stronger than those of VM26-NDS for Granta-519 and Raji cells,whereas there was no significant difference in the inhibitory effect on proliferation and ability to induce apoptosis and necrosis between VM26-NDS and VM26-TNDS in SU-DHL-4 cells,reflecting the targeting advantage for VM26-TNDS,as expected.However,its toxic effect on B-cell lymphoma cells only reflected the targeting advantage at some concentrations(0.25 μmol/L and 0.5 μmol/L),which met the expectation.The a-bove results indicate that a teniposide-targeted nano-delivery system,VM26-TNDS,has been successfully prepared in this study.VM26-TNDS improves the delivery efficiency of VM26 by targeting human B-cell lymphoma cells expressing the CD44 receptor,thus killing human B-cell lymphoma cells more effectively and overcoming the problem of non-specific targeting in drug delivery to improve the therapeutic effect.Its biological therapeutic effects and mechanisms still need to be proved by more in vitro and in vivo ex-perimental evidence.

AIM To explore the differential metabolites of different aged Citrus reticulate'Chachi'and their processed cakes.METHODS Non-targeted metabolomics technology of GC-TOF-MS was used to analyze the chemical constituents.The data was processed by principal component analysis and orthogonal partial least squares discriminant analysis,and the differential metabolites were identified.RESULTS A total of 74 differential metabolites were identified,including 16 glycosides,14 organic acids and their derivatives,11 amino acids and their derivatives,and 4 flavonoids.Comparative analysis revealed 40 and 30 differential metabolites between fresh C.reticulate'℃hachi'and 3-year or 5-year aged samples,respectively.Furthermore,27 and 34 differential metabolites were identified between the 3-year or 5-year aged samples and their corresponding processed cakes,respectively.Differential metabolites among fresh,aged C.reticulate'Chachi',and processed cakes were predominantly enriched in 6 metabolic pathways,including the biosynthesis of secondary metabolites.Specifically,differential metabolites between 3-year aged C.reticulate'Chachi'and its processed cake were significantly enriched in 4 pathways,such as ABC transporters.Differential metabolites between 5-year aged C.reticulate'Chachi'and its processed cake were mainly enriched in 5 pathways,including carbon metabolism.CONCLUSION Non-targeted metabolomics technology can elucidate the chemical compositional differences among fresh/aged and processed cakes of C.reticulate'Chachi',laying a foundation for the research into C.reticulate'Chachi'aging processing techniques and the development of processed products.

Objective To explore the clinical effect of applying an improved"outside-in"technique in hip arthroscopic surgery.Methods Totally 136 patients undergoing hip arthroscopic surgery between June 2021 and July 2023 were selected and studied retrospectively.According to their different surgi-cal approach,they were divided into a modified approach group(n=75,including 30 males and 45 fe-males,with an average age of 36±14)and a classic approach group(n=61,including 33 males and 28 females,with an average age of 31±11).Before as well as 4 weeks,3 months and 6 months after the surgery,both groups were evaluated using the visual analog scale(VAS)and Harris hip score,and observed their surgical complications.Moreover,the surgical outcomes and time of sur-gical approach establishment were compared between the two groups.Results There was no significant difference between the two groups in general information,preoperative VAS and Harris scores.More-over,no significant difference was found between the two groups in the Harris score after surgery.Compared with the classic approach group,the improved group had significantly less surgical time(49.0±16.9 min vs.66.0±13.3 min,P<0.05),without using the C-arm fluoroscopy during surgery.Moreover,in the modified approach group,the time for establishing the mid-anteriorapproach was sig-nificantly shortened(10.4±5.9 min vs.25.9±15.1 min,P<0.05),along with the traction time during surgery(66.0±13.3 min vs.49.0±16.9 min,P<0.05).Conclusion The modified"outside-in"hip ar-throscopy technique is a safe and effective surgical method,easier to operate,with shorter surgical time.

Objective To construct an age prediction model for adolescents using radiomics from oral panoramic radiographs.Methods Panoramic radiographic images of 441 adolescent patients aged 11.00～13.99 years were imported into the open-source software 3D Slicer for segmentation of regions of interest(ROI).Python was used to extract all features from the ROIs of all patients.The patients were randomly divided into a training set and a test set at a ratio of 7∶3.Machine learning methods were applied to analyze the correlation between radiomics features and age characteristics to build the age prediction model.Results Out of 863 two-dimensional radiomics features,10 were selected.Three machine learning methods—support vector machine,random forest,and logistic regression—were used to train the model on the training set,and the best machine learning model was chosen.The performance of the machine learning models was evaluated using the Area Under Curve(AUC).In the test set,the AUCs for females were 0.795,0.830,and 0.795 for the three methods respectively,while for males,they were 0.830,0.864,and 0.846.Conclusion The radiomics model based on oral panoramic radiographs demonstrates good diagnostic efficacy and can be used for age prediction.

Purpose To investigate the clinicopathological features,molecular subtypes,and prognostic factors of diffuse midline glioma(DMG)with H3K27 alterations.Methods Clinical data from 19 patients from DMG were col-lected.The clinical manifestations,histopathological features,immunophenotypes,and molecular genetic characteris-tics were analyzed.Relevant literature was also reviewed.Results Among the 19 patients,12 cases had tumors loca-ted in the thalamus,while 7 cases had tumors in other midline regions(including 4 cases in the brainstem,1 case in the cerebellum,and 2 cases in the spinal cord).Clinical symptoms primarily included dizziness,gait instability,and blurred vision.Histological features were diverse,with 12 cases classified as high-grade gliomas and 7 cases as low-grade.Immunohistochemistry revealed a loss of H3K27me3 expression in all cases,with 18 cases showing diffuse H3K27M positivity and 1 case expressing EZHIP.Of the 16 cases that underwent next-generation sequencing(NGS),1 case showed EGFR mutation(1/16,6％),while the remaining 15 cases had H3F3A K27M mutations(15/16,94％).Among these,7 cases had ATRX mutations(7/15,46.6％),5 cases had MAPK pathway alterations(5/15,33.3％,including 2 cases FGFR1,2 cases NF1,1 case co-mutated with BRAF and NF1),5 cases had PDGFRA mis-sense mutations(5/15,33.3％),4 cases had p53 missense or frameshift deletions(4/15,26.6％).One case each had a DICER1 missense mutation and an IDH1-S202R frameshift deletion(1/15,6.6％).The prognosis was general-ly poor,with a median survival of 9.5 months.Conclusion DMG exhibits high tumor heterogeneity and an overall poor prognosis.The predominant molecular aleration was the H3F3A K27M mutation.Patients with co-altered MAPK pathway showed relatively better outcomes,providing new insights into the molecular genetic characteristics of DMG.