BACKGROUND:The long-term patency rate of synthetic blood vessels remains a significant challenge that requires urgent attention.Enhancing the anticoagulant performance of small-caliber artificial blood vessels is crucial in ensuring their long-term efficacy.OBJECTIVE:To investigate the anticoagulation activity of polycaprolactone/low molecular weight fucoidan nanofibers with shell core structure and determine the effect on the activity of human umbilical vein endothelial cells.METHODS:Polycaprolactone nanofiber membranes and polycaprolactone/low molecular weight fucoidan nanofiber membranes with polycaprolactone as shell layer and low molecular weight fucoidan as core layer were prepared by emulsion electrospinning method(the mass ratio of low molecular weight fucoidan to polycaprolactone was 10％,25％,40％,and 55％,respectively).The morphology and structure of the fibers were characterized by scanning electron microscopy,fluorescence microscopy,and infrared spectroscopy.The mechanical strength of the fiber membranes was detected by tensile test.The loading rate and sustained release rate of low molecular weight fucoidan in the nanofibers were detected by 1,9-dimethylmethylene blue dye.The anticoagulant properties of the fiber membranes were verified by hemolysis test,dynamic coagulation test,plasma recalcification test,and platelet adhesion test.The five fiber membranes were co-cultured with human umbilical vein endothelial cells.The cell proliferation was detected by CCK-8 assay and the cell morphology was observed by fluorescence microscopy.RESULTS AND CONCLUSION:(1)Scanning electron microscope showed that the surface of polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane was smooth,the fiber diameter was uniform,and there was no obvious beaded structure.With the increase of low molecular weight brown algae polysaccharide content in the fiber membrane,the diameter of the fiber membrane increased and the maximum tensile stress decreased,but it still met the mechanical properties requirements of small-caliber artificial blood vessels.Fluorescence images and infrared spectra confirmed that low molecular weight brown algae polysaccharide was successfully loaded into polycaprolactone nanofiber membrane,and the low molecular weight brown algae polysaccharide loaded in each group of fiber membranes was released suddenly within 12 hours and released at a relatively low rate after 48 hours.(2)Compared with polycaprolactone nanofiber membrane,polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane had better anticoagulant activity,among which the group with a mass ratio of low molecular weight brown algae polysaccharide to polycaprolactone of 25％had the best anticoagulant effect.All five fiber membranes supported the growth and proliferation of human umbilical vein endothelial cells without affecting cell morphology and had no obvious cytotoxicity.(3)The results show that the polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane has good anticoagulant function,blood compatibility,and cell compatibility.

BACKGROUND:The long-term patency rate of synthetic blood vessels remains a significant challenge that requires urgent attention.Enhancing the anticoagulant performance of small-caliber artificial blood vessels is crucial in ensuring their long-term efficacy.OBJECTIVE:To investigate the anticoagulation activity of polycaprolactone/low molecular weight fucoidan nanofibers with shell core structure and determine the effect on the activity of human umbilical vein endothelial cells.METHODS:Polycaprolactone nanofiber membranes and polycaprolactone/low molecular weight fucoidan nanofiber membranes with polycaprolactone as shell layer and low molecular weight fucoidan as core layer were prepared by emulsion electrospinning method(the mass ratio of low molecular weight fucoidan to polycaprolactone was 10％,25％,40％,and 55％,respectively).The morphology and structure of the fibers were characterized by scanning electron microscopy,fluorescence microscopy,and infrared spectroscopy.The mechanical strength of the fiber membranes was detected by tensile test.The loading rate and sustained release rate of low molecular weight fucoidan in the nanofibers were detected by 1,9-dimethylmethylene blue dye.The anticoagulant properties of the fiber membranes were verified by hemolysis test,dynamic coagulation test,plasma recalcification test,and platelet adhesion test.The five fiber membranes were co-cultured with human umbilical vein endothelial cells.The cell proliferation was detected by CCK-8 assay and the cell morphology was observed by fluorescence microscopy.RESULTS AND CONCLUSION:(1)Scanning electron microscope showed that the surface of polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane was smooth,the fiber diameter was uniform,and there was no obvious beaded structure.With the increase of low molecular weight brown algae polysaccharide content in the fiber membrane,the diameter of the fiber membrane increased and the maximum tensile stress decreased,but it still met the mechanical properties requirements of small-caliber artificial blood vessels.Fluorescence images and infrared spectra confirmed that low molecular weight brown algae polysaccharide was successfully loaded into polycaprolactone nanofiber membrane,and the low molecular weight brown algae polysaccharide loaded in each group of fiber membranes was released suddenly within 12 hours and released at a relatively low rate after 48 hours.(2)Compared with polycaprolactone nanofiber membrane,polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane had better anticoagulant activity,among which the group with a mass ratio of low molecular weight brown algae polysaccharide to polycaprolactone of 25％had the best anticoagulant effect.All five fiber membranes supported the growth and proliferation of human umbilical vein endothelial cells without affecting cell morphology and had no obvious cytotoxicity.(3)The results show that the polycaprolactone/low molecular weight brown algae polysaccharide nanofiber membrane has good anticoagulant function,blood compatibility,and cell compatibility.

AIM: To investigate the relationship between serum levels of sirtuins(Sirts)1-6 and oxidative stress markers, and to evaluate their diagnostic value for age-related cataract(ARC).METHODS:A prospective cohort of ARC patients admitted to the hospital between June 2019 and July 2021 was enrolled as the study subjects. Concurrently, age-matched healthy individuals undergoing routine physical examinations at the hospital during the same period were recruited as the control group. Baseline demographic and clinical characteristics were compared between the two groups. Serum levels of Sirt1-6 and oxidative stress markers including malondialdehyde(MDA), superoxide dismutase(SOD), glutathione peroxidase(GSH-Px), and total antioxidant capacity(TAC)were compared. Pearson correlation analysis was performed to assess the associations between serum Sirt1-6 levels and oxidative stress parameters. Multivariate Logistic regression analysis was conducted to analysis risk factors associated with ARC occurrence. Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of serum Sirt1-6 levels and oxidative stress indicators for ARC.RESULTS: The study included 127 ARC patients, comprising 68 men and 59 women, with a mean age of 66.05±2.58 y; the concurrent control group consisted of 121 patients, comprising 63 men and 58 women, with a mean age of 65.54±2.86 y. Serum levels of Sirt1, 3 and 6, SOD, GSH-Px, and TAC were significantly lower in the ARC group compared to the control group(all P<0.001), whereas MDA levels were markedly elevated(P<0.001). Pearson correlation analysis revealed that serum levels of Sirt1, Sirt3, Sirt6 in the ARC group were positively correlated with SOD, GSH-Px, and TAC, and negatively correlated with MDA. Multivariate Logistic regression analysis demonstrated that serum Sirt1, Sirt6, MDA, SOD, and GSH-Px were significantly associated with the occurrence of ARC(all P<0.001). ROC curve analysis showed that the combination of Sirt1, Sirt6, MDA, SOD, and GSH-Px yielded an area under the curve(AUC)of 0.995 for diagnosing ARC, which was significantly higher than that of Sirt1 alone(Z=4.978,P<0.001), Sirt6 alone(Z=7.487,P<0.001), MDA alone(Z=6.449,P<0.001), SOD alone(Z=5.773,P<0.001), or GSH-Px alone(Z=5.056,P<0.001), indicating superior diagnostic accuracy of the multimarker panel(P<0.05). CONCLUSION: Serum levels of Sirt1, 3, and 6 are generally reduced in ARC patients and are closely associated with oxidative stress imbalance. Specifically, decreased serum levels of Sirt1 and Sirt6, along with oxidative stress markers(elevated MDA and reduced SOD and GSH-Px)are identified as risk factors for ARC. Moreover, the combined detection of these indicators presents high diagnostic value for ARC.

Objective To construct radiomics-semantic models to predict the treatment resistance of chemoradiotherapy in brain gliomas based on MRI and clinical data of multicenter patients.Methods Among 2 108 brain gliomas patients from five medical institutions,132 patients had residual gliomas after surgery.The clinical risk factors and multimodal MRI were collected.All patients were divided into training set(n=95)and validation set(n=37).The treatment response of gliomas after standardized chemoradiotherapy were divided into resistant and non-resistant types.The semantic features of MRI were evaluated by two radiologists.Three different segmentation regions of interest(ROI)were delineated to extract radiomics features.And that three groups of radiomics models were con-structed based on different sequence MRIs.The radiomics model with the best predictive efficacy in each group was selected and combined with MRI semantic features,three radiomics-semantic models(combined models)were established.Finally,a MRI semantic model,three groups of radiomics models and three combined models were developed.Results Comparisons between the different models showed that the radiomics-semantic model based on pre-operative T2-fluid attenuated inversion recovery(FLAIR)sequence,had the best predictive efficacy,the area under the curve(AUC)in the training and validation sets were 0.866[95％confidence interval(CI)0.790-0.942]and 0.810(95％CI 0.667-0.952),respectively.The radiomics-semantic model based on postoperative T1 WI sequence performed the second best,with the AUC of the training and validation sets being 0.812(95％CI 0.726-0.898)and 0.711(95％CI 0.541-0.881),respectively.Conclusion The combined models based on MRI radiomics and semantic features are able to predict the treatment resistance of chemoradiotherapy in brain gliomas patients,and may be used as an important basis for optimizing treatment.

Objective To conduct a scope review of the factors that influence the occupational grief in nurses in order to provide a reference for future interventional research on the occupational grief in nurses.Methods Based on the framework of scope review report,a systematic search was conducted across multiple databases,including China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP,SinoMed,Cochrane Library,Embase,Scopus,PubMed,Web of Science and EBSCO,for relevant literature published from the inception of databases to 8th April,2025(updated after revision).The retrieved literature was screened,evaluated,analysed and summarised.Results A total of 12 articles were included in the study.The factors that influenced occupational grief of nurses were identified in seven dimensions:demographics,personal experience,psychological state,education and training,patient-related factors,career environment and supporting factors.The identified dimensions comprised a total of 27 influencing factors.Conclusion Occupational grief among nurses is common.Grief is influenced by multiple factors,including demographics,personal experience,psychological state,educational background,patient-related factors,career environment and supporting systems.Nurses and nursing administrators should attach great importance to occupational grief,identify the adverse emotions early,and provide effective intervention strategies in a timely manner.

Objective To explore the application of linaclotide combined with compound polyethylene glycol electrolyte powder(PEG)in bowel preparation for colonoscopy of patients with chronic constipation.Methods A toltal of 190 patients with chronic constipation who underwent electronic colonoscopy in Beijing NO.6 Hospital from January to October 2023 were selected as the objects.The patients were divide into linaclotide group(n=63),3L PEG group(n=64),and 4L PEG group(n=63)by random number table method.The application effects of three groups were compared.Results Boston bowel preparation scale score was higher than 3L PEG and 4L PEG groups,there were significant difference among groups(P＜0.05).The qualified rate of patients in linaclotide group was better than that of 3L PEG group and 4L PEG group,and the qualified rate of patients in 4L PEG group was better than that of 3L PEG group,there were significant difference among groups(P＜0.05).Conclusion Linaclotide combined with PEG can not only improve the intestinal cleaning quality of patients with constipation,but also do not increase the adverse reactions of patients.

Objective To explore the application of linaclotide combined with compound polyethylene glycol electrolyte powder(PEG)in bowel preparation for colonoscopy of patients with chronic constipation.Methods A toltal of 190 patients with chronic constipation who underwent electronic colonoscopy in Beijing NO.6 Hospital from January to October 2023 were selected as the objects.The patients were divide into linaclotide group(n=63),3L PEG group(n=64),and 4L PEG group(n=63)by random number table method.The application effects of three groups were compared.Results Boston bowel preparation scale score was higher than 3L PEG and 4L PEG groups,there were significant difference among groups(P＜0.05).The qualified rate of patients in linaclotide group was better than that of 3L PEG group and 4L PEG group,and the qualified rate of patients in 4L PEG group was better than that of 3L PEG group,there were significant difference among groups(P＜0.05).Conclusion Linaclotide combined with PEG can not only improve the intestinal cleaning quality of patients with constipation,but also do not increase the adverse reactions of patients.

Objective To investigate the association between plasma homocysteine(Hcy)level and coronary artery calcification(CAC)and its clinical predictive efficacy.Methods A total of 172 patients who underwent coronary CT angiography North China University of Science and Technology Affiliated Hospital from April 2019 to May 2021 and CAC score(CACS)＞0 were enrolled.According to the CACS value,the subjects were divided into mild calcification group(n=136)and severe calcification group(n=36),and the clinical characteristics of two groups were compared and analyzed.Multivariate Logistic regression model was used to screen the independent influencing factors of CAC severity,and a prediction model was constructed based on the Hcy detection value.The clinical diagnostic value was evaluated by the receiver operating characteristic(ROC)curve.Results There were significant differences in Hcy,white blood cell count,triglyceride and magnesium ion levels between two groups(P＜0.05).Multivariate Logistic regression analysis showed that Hcy,white blood cell count and magnesium ion level were independent risk factors for the progression of CAC.Furthermore,a regression model based on Hcy was constructed and ROC curve was fitted to evaluate its predictive efficacy.The results suggested that the predictive model had the best performance when the critical value of Hcy was set at 27.4μmol/L:the sensitivity was 55.6％,the specificity was 97.1％,and the area under the curve was 0.765.Conclusion Hcy serves as an independent risk factor for the severity of CAC and can effectively predict the progression of CAC with high accuracy.

Objective:To investigate the protective effect of moxibustion on joints and its influence on the expression levels of S100 calcium binding protein A8(S100A8),S100 calcium binding protein A9(S100A9),serum amyloid A1(SAA1),and related inflammatory factors in rats with adjuvant arthritis(AA).Methods:Forty Wistar rats were randomly divided into a normal group,a model group,a moxibustion group,and a medication group,with 10 rats in each group.Except for the normal group,AA models were established in the other three groups by exposing rats to wind-cold-dampness environmental conditions combined with complete Freund's adjuvant.After successful modeling,the moxibustion group received moxibustion intervention,while the medication group was administered tripterygium glycosides tablets via oral gavage.The normal and model groups underwent similar handling and fixation without additional interventions.After 15 d of intervention,hematoxylin-eosin staining was used to assess pathological changes in the knee joint synovial membrane.Western blotting was performed to detect the protein expression of S100A8,S100A9,and SAA1 in the synovial tissue.Enzyme-linked immunosorbent assay was used to measure the serum levels of interferon(IFN)-γ,interleukin(IL)-6,and IL-23.Results:Compared to the normal group,the model group exhibited significantly increased protein expression of S100A8,S100A9,and SAA1 in the knee joint synovial tissue,as well as elevated serum levels of IFN-γ,IL-6,and IL-23(P<0.01).Histopathological analysis revealed marked synovial hyperplasia and extensive infiltration of inflammatory cells in the model group.Compared to the model group,both the moxibustion and medication groups showed significant reductions in the protein expression of S100A8,S100A9,and SAA1 in the synovial tissue,as well as decreased serum levels of IFN-γ,IL-6,and IL-23(P<0.01).Additionally,synovial tissue in these two groups displayed minimal hyperplasia and only mild inflammatory cell infiltration.Notably,compared to the moxibustion group,the medication group exhibited significantly higher protein expression of S100A9 in the synovial tissue(P<0.05),while no significant differences were observed in the expression of S100A8,SAA1,or serum levels of IFN-γ,IL-6,and IL-23(P>0.05).Both intervention groups showed comparable degrees of synovial inflammation,clear tissue structure,and no obvious hyperplasia.Conclusion:Moxibustion can alleviate joint swelling and reduce inflammatory responses in AA rats.Its mechanism may involve regulating the protein expression of S100A8,S100A9,and SAA1 in the knee joint synovial tissue.

Objective To construct radiomics-semantic models to predict the treatment resistance of chemoradiotherapy in brain gliomas based on MRI and clinical data of multicenter patients.Methods Among 2 108 brain gliomas patients from five medical institutions,132 patients had residual gliomas after surgery.The clinical risk factors and multimodal MRI were collected.All patients were divided into training set(n=95)and validation set(n=37).The treatment response of gliomas after standardized chemoradiotherapy were divided into resistant and non-resistant types.The semantic features of MRI were evaluated by two radiologists.Three different segmentation regions of interest(ROI)were delineated to extract radiomics features.And that three groups of radiomics models were con-structed based on different sequence MRIs.The radiomics model with the best predictive efficacy in each group was selected and combined with MRI semantic features,three radiomics-semantic models(combined models)were established.Finally,a MRI semantic model,three groups of radiomics models and three combined models were developed.Results Comparisons between the different models showed that the radiomics-semantic model based on pre-operative T2-fluid attenuated inversion recovery(FLAIR)sequence,had the best predictive efficacy,the area under the curve(AUC)in the training and validation sets were 0.866[95％confidence interval(CI)0.790-0.942]and 0.810(95％CI 0.667-0.952),respectively.The radiomics-semantic model based on postoperative T1 WI sequence performed the second best,with the AUC of the training and validation sets being 0.812(95％CI 0.726-0.898)and 0.711(95％CI 0.541-0.881),respectively.Conclusion The combined models based on MRI radiomics and semantic features are able to predict the treatment resistance of chemoradiotherapy in brain gliomas patients,and may be used as an important basis for optimizing treatment.