Objective: To analyze the prevalence and determinants of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou City, and to explore the association between sleep patterns, eating behavior and the comorbidity of overweight/obesity and elevated blood pressure, so as to provide reference for developing prevention strategies targeting common comorbidities in students. Methods: By using stratified cluster random sampling, a total of 8 735 primary and secondary school students were selected from 36 schools in six counties of Yangzhou from October to November 2023. Students underwent physical examinations and a questionnaire survey was conducted using the questionnaire on students health status and influencing factors. The Chi square test was used to compare the detection rate of comorbid overweight/obesity and elevated blood pressure in different groups of primary and secondary school students. The Logistic regression model was used to explore the association between sleep and dietary behaviors and their combined effects and coexistence. Results: The detection rate of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou was 9.85%, which was higher among boys (12.14%) than girls (7.59%)( χ 2=50.86, P <0.01). After controlling for gender, residence, educational stage, parental education, smoking, drinking, and moderate to vigorous exercise, multivariate Logistic regression analysis showed that irregular breakfast consumption and inadequate daily sleep were associated with a higher risk of comorbidities compared with regular breakfast consumption and adequate daily sleep among overall and primary school students (overall: OR =1.52, 95% CI =1.18- 1.96 , primary school students: OR =2.79, 95% CI =1.61-4.82)(both P <0.05). From the perspective of primary school students of different genders, the risk of comorbidities in girls who consumed breakfast irregularly and had inadequate daily sleep was 3.59 times higher than that in girls who consumed breakfast irregularly and had inadequate daily sleep (95% CI =1.65-7.82, P <0.01). Conclusion The sleep patterns and breakfast behaviors of primary and secondary school students are found to be associated with comorbid overweight/obesity and elevated blood pressure, especially in primary school girls.

Nipah virus (NiV) and related viruses form a distinct henipavirus genus within the Paramyxoviridae family. NiV continues to spillover into the humans causing deadly outbreaks with increasing human-bat interaction. NiV encodes the large protein (L) and phosphoprotein (P) to form the viral RNA polymerase machinery. Their sequences show limited homologies to those of non-henipavirus paramyxoviruses. We report two cryo-electron microscopy (cryo-EM) structures of the Nipah virus (NiV) polymerase L-P complex, expressed and purified in either its full-length or truncated form. The structures resolve the RNA-dependent RNA polymerase (RdRp) and polyribonucleotidyl transferase (PRNTase) domains of the L protein, as well as a tetrameric P protein bundle bound to the L-RdRp domain. L-protein C-terminal regions are unresolved, indicating flexibility. Two PRNTase domain zinc-binding sites, conserved in most Mononegavirales, are confirmed essential for NiV polymerase activity. The structures further reveal anchoring of the P protein bundle and P protein X domain (XD) linkers on L, via an interaction pattern distinct among Paramyxoviridae. These interactions facilitate binding of a P protein XD linker in the nucleotide entry channel and distinct positioning of other XD linkers. We show that the disruption of the L-P interactions reduces NiV polymerase activity. The reported structures should facilitate rational antiviral-drug discovery and provide a guide for the functional study of NiV polymerase.
Nipah Virus/chemistry* ; Cryoelectron Microscopy ; Viral Proteins/genetics* ; RNA-Dependent RNA Polymerase/genetics* ; Phosphoproteins/genetics* ; Humans ; Models, Molecular ; Protein Binding

BACKGROUND:Diabetic ulcers are a common complication of diabetes mellitus,which is manifested as foot ulcers complicated with infection,long treatment cycle,high disability rate and mortality rate,and brings a heavy burden to patients and social care. OBJECTIVE:To review the mechanism of action and the latest treatment progress of traditional Chinese medicine(TCM)in the treatment of diabetic ulcers,and to provide a basis for further theoretical research and clinical application. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature using the keywords of"diabetic ulcer,medicinal herb,inflammation,interleukin-1β,interleukin-6,tumor necrosis factor,hypersensitive C-reactive protein,γ-interferon,interleukin-4,interleukin-10"in Chinese and English,respectively.The relevant literature in recent years was searched,and finally 75 articles were included for review. RESULTS AND CONCLUSION:The high glucose environment of the body will increase the level of pro-inflammatory cytokines,so that diabetic ulcer wounds are in a state of chronic inflammatory response for a long time,and difficult to heal or even not heal.TCM has summed up a lot of experience in the long-term struggle with diabetic ulcer.At present,TCM divides diabetic ulcers into four syndrome types:dampness and heat poison syndrome,blood and blood stasis obstruction pattern,heat poison injury Yin pattern,and Qi and blood deficiency syndrome,as well as representative prescriptions for treatment.According to their clinical characteristics,diabetic ulcers can be also divided into three stages:primary,middle and late stages.Different treatment methods are proposed:"clear method,""warm and clear combined use"and"maintenance method."Under the guidance of dialectical typing and staging of TCM,TCM monomers,extracts and compounds inhibit the inflammatory response and promote the healing of diabetic ulcers by down-regulating the expression of pro-inflammatory factors and/or up-regulating the expression of anti-inflammatory factors.Compared with modern medicine,TCM has significant advantages in the treatment of diabetic ulcers.There are many TCM monomers,extracts and compounds for the treatment of diabetic ulcers,such as angelica,curcumin,improved Chonghe ointment,Sanhuang blood exhaustion prescription and sore-ulcer I.formula,etc.It has been found that TCM for the treatment of diabetic ulcers is mainly heat-clearing and detoxifying,invigorating blood circulation and removing blood stasis,and amassing sores and muscle-building drugs,and the frequency of use,treatment scope and therapeutic effect of TCM compounds are obviously better than those of TCM monomers and extracts.Among them,the most commonly used are the Sanhuang blood exhaustion prescription and the sore-ulcer I as well as prescription for the treatment of damp heat toxicity syndrome and Zizhu ointment for the treatment of non-ischemic diabetic ulcers.However,there are also some shortcomings in the treatment of diabetic ulcers with TCM.First,there are few clinical syndrome studies on diabetic ulcers.Secondly,there are a wide variety of TCM monomers,extracts and compounds for the treatment of diabetic ulcers,and the relevant research is insufficiently in-depth.Finally,the research on the mechanism underlying TCM treatment of diabetic ulcers is still in the preliminary exploration stage,and the mechanism of action still needs to be further explored.In the future,it is necessary to strengthen the research on the pharmacology of TCM and the clinical syndrome of diabetic ulcers,analyze the potential targets and related signaling pathways of TCM in the treatment of diabetic ulcers,give full play to the therapeutic advantages of TCM with multiple targets,multiple pathways,multiple levels and multiple systems,and develop TCM with significant efficacy,active ingredients and clear targets.

Objective To assess the viability and efficacy of employing automated segmentation for whole breast radiotherapy with simultaneous integrated boost to the medial tumor beds,a comparative analysis was conducted on the disparities in geometry,dosimetry,and working time between the auto-segmentation(AS)and manual segmentation(MS)groups.Methods A total of 30 patients with early breast cancer,who had undergone conserving surgery and received hypofractionated radiotherapy with a boost to the medial tumor bed,were enrolled from the First People's Hospital of Zunyi.AccuContour software was used in the AS group to obtain the whole breast planning target volume and cardiopulmonary structure.Geometric differences between AS and MS groups were assessed using Dice similarity coefficient(DSC)and 95%Hausdorff distance(95HD).Subsequently,a comparison was made between the two groups regarding target and cardiopulmonary dosimetry for PlanA and PlanM.Additionally,the time spent by each group was also compared.Results The DSC of PGTV,PTV,lung,and heart were 0.94(0.91,0.96),0.88(0.86,0.91),0.98(0.97,0.98)and 0.94(0.93,0.95),respectively.And the 95 HD(cm)were 0.25(0.20,0.33),0.99(0.56,1.20),0.29(0.25,0.35)and 0.50(0.50,0.59)respectively.The dosimetric results showed that the V95,D95,and Dmean of PGTV and PTV in the AS group were significantly lower than those in the MS group(P<0.05);while the V20 and MLD of the left lung were significantly higher(P<0.05).No significant difference was observed in cardiac dose between the two groups.The mean absolute differences of PGTV and cardiopulmonary dose parameters between the two groups were less than 1 Gy/1%,respec-tively.In terms of work efficiency,the AS approach substantially reduced contouring and planning time with over 70%of cases approved within two days.Conclusions The differences in geometric and dosimetric parameters between the auto-segmentation and manual segmentation groups were found to be negligible for whole breast radiotherapy with medial tumor bed boost patients.It is recommended that the PTV be manually modified prior to plan optimiza-tion,leading to a significant improvement in work efficiency.

Aim To investigate the effect of alfentanil on myocardial ischemia-reperfusion injury(MIRI)in rats and its regulatory mechanism on the sphingosine kinase 1(SphK1)/sphingosine-1-phosphate(S1P)signaling pathway dur-ing this process.Methods SPF grade SD male rats were randomly divided into sham surgery group,model group,positive drug group(compound salvia miltiorrhiza group),low dose alfentanil group,high dose alfentanil group,and high alfentanil+SphK1 agonist group(alfentanil+PMA group),with 20 rats in each group.Except the sham operation group,the MIRI model was reproduced by ligating the left anterior descending coronary artery and reperfusion.The activities of serum lactate dehydrogenase(LDH),creatine kinase(CK)and aspartate aminotransferase(AST)were detected by auto-matic biochemical analyzer;TTC was applied to detect the size of myocardial infarction in rats;HE staining was applied to observe the morphological characteristics of rat myocardial tissue;TUNEL staining was applied to detect myocardial cell ap-optosis in rats;ELISA was applied to detect the levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),inter-leukin-1β(IL-1β),and S1P;kits were applied to detect content of malondialdehyde(MDA)and activity of superoxide dismutase(SOD)in myocardial tissue;Western blot was applied to detect the expression level of SphK1 protein in myocar-dial tissue.Results Compared with the sham surgery group,the pathological damage to the myocardial tissue of rats was severe in the model group,the activities of serum central muscle injury markers LDH,CK,and AST,myocardial in-farction area,myocardial cell apoptosis rate,the levels of TNF-α,IL-6,IL-1β,MDA,S1P and the expression of SphK1 protein all increased,the activity of SOD decreased(P＜0.05).Compared with the model group,the myocardial tissue damage of rats was reduced in the positive drug group and the low and high dose alfentanil groups,the activities of serum central muscle injury markers LDH,CK,and AST,myocardial infarction area,myocardial cell apoptosis rate,the levels of TNF-α,IL-6,IL-1β,MDA,S1P and the expression of SphK1 protein all decreased,the activity of SOD increased(P＜0.05).The SphK1 agonist was able to reverse the impact of high-dose alfentanil on the above indicators(P＜0.05).Conclusion Alfentanil has protective effect on MIRI rats,and its mechanism may be related to the inhibition of SphK1/S1P signaling pathway.

Objective:To investigate the expression of nuclear matrix protein 4 (NMP4) in hepatocellular carcinoma (HCC), and its relationship with clinicopathological features and survival prognosis of patients.Methods:The clinical data of 100 HCC patients who were treated with radical resection of liver cancer in the Department of Hepatobiliary Surgery of the Third Affiliated Hospital of Wenzhou Medical University from July 1, 2014 to July 1, 2019 were retrospectively analyzed. There were 63 males and 37 females, aged (58.5±10.4) years old. Immunohistochemical method was used to detect the expression of NMP4 protein in HCC cancer tissue and the corresponding adjacent normal tissue. According to the expression of NMP4 in HCC tissues, 100 patients were divided into two groups: the NMP4-positive expression group ( n=62) and the NMP4-negative expression group ( n=32). Univariate analysis was performed on the relationship between NMP4 expression and clinical pathological features as well as overall survival of HCC patients. Cox multivariate analysis was performed on the factors influencing postoperative prognosis of HCC patients. Results:Immunohistochemistry results showed that NMP4 was primarily expressed in the nucleus, the positive expression rate of NMP4 in HCC tissues was higher than that in adjacent non-cancerous tissues [62.0% (62/100) vs. 8.0%(8/100)], and the difference was statistically significant ( χ2=2.12, P=0.003). Univariate analysis revealed that the overall survival of HCC patients was correlated with the degree of tumor differentiation, tumor length, BCLC stage, number of tumor foci, vascular tumor thrombus and expression of NMP4 (all P<0.05). Cox multivariate analysis revealed that low differentiation, high BCLC stage (stage C), number of tumor foci (≥3), and positive expression of NMP4 were independent risk factors affecting postoperative survival and recurrence-free survival of HCC patients. The median overall survival and median recurrence-free survival of HCC patients in the NMP4-positive expression group were 22.3 months and 11.5 months, respectively. In contrast, that in the NMP4-negative expression group were 40.6 months and 19.4 months, respectively. The cumulative survival rate and recurrence-free survival rate of HCC patients in the NMP4-positive expression group were lower than those in the NMP4-negative expression group, and the differences were statistically significant (both P<0.05). Conclusion:Positive NMP4 expression was closely correlated with malignant biological progression and poor prognosis of HCC patients.

Rheumatoid arthritis （RA） is an autoimmune disease involving symmetrical small joints， with clinical manifestations such as small joint swelling， morning stiffness， progressive pain， and even joint deformity and loss of function. Due to the complex immune mechanism， the pathogenesis of RA remains unclear. However， studies have shown that the pathogenesis of RA is related to abnormal immune mechanism， increased synovial inflammatory response， abnormal biological behavior of RA fibroblast-like synoviocytes （RA-FLSs）， and abnormal degradation of extracellular matrix. Mitogen-activated protein kinase （MAPK） plays a key role in the regulation of cell growth， proliferation， differentiation， and apoptosis. It is involved in the abnormal release and activation of inflammatory mediators in RA， the abnormal proliferation， migration， and invasion of RA-FLSs， synovial angiogenesis， bone erosion， and cartilage destruction. The thousands of years of practical experience show that Chinese medicine can effectively mitigate the clinical symptoms such as joint swelling， morning stiffness， and pain and delay the occurrence of joint deformity in RA patients. Moreover， the Chinese medicine treatment has the advantages of overall regulation， personalized treatment， multiple pathways and targets， high safety， few adverse reactions， and stable quality. Modern studies have confirmed that Chinese medicine can play a role in the prevention and treatment of RA by interfering in the MAPK signaling pathway， reducing pro-inflammatory cytokines， inhibiting the abnormal proliferation， migration， and invasion of RA-FLSs， regulating the apoptosis of RA-FLSs， and protecting extracellular matrix. This article elaborates on the key role of MAPK signaling pathway in the development of RA and reviews the latest research results of Chinese medicine intervention in MAPK signaling pathway for the prevention and treatment RA， aiming to provide a basis for the development of new drugs and the clinical application of Chinese medicine in the prevention and treatment of RA.

Objective The study aimed to construct and validate a predictive model for pulmonary nodules(PN)nature based on clinicopa-thological features,imaging,and serum biomarkers,so as to provide scientificdecision-making for early diagnosis and treatment of lung cancer.Methods A retrospective was performed on 816 PN patients with definited pathological diagnosis who received surgical resection analysisor lung biopsy in the Department of Thoracic Surgery and Oncology of Shenzhen Traditional Chinese Medicine Hospital from January 2019 to February 2023.Among them,113 cases that did not meet the inclusion criteria were excluded,and the remaining 703 cases were included in the study.The study based on the clinicopathologic features(age,gender,smoking history,smoking cessation history and family history of cancer),chest imaging(maximum diameter of nodule,location of lesion,clear border,Lobulation,spiculation,vascular convergence sign,vacuole,calcification,air bronchial sign,emphysema,nodule type and pleural indentation,nodule number)and serum carcinoembryonic antigen(CEA),cytokeratin 19 fragment(CYFRA21-1),squamous cell carcinoma antigen(SCCA)in patients with PN.These cases were randomly divided into a modeling group(n=552,237 benign,315 malignant)and a validation group(n=151,85 benign,66 malignant).First,univariate analysis was performed to screen for statistically significant predictors of nodules nature.Then,multivariate regression analysis was performed to screen for independent predictors of nodules nature.Finally,the prediction model of PN nature was constructed by logistic regression analysis.Subsequently,the validation group data were entered into the proposed model and Mayo clinic(Mayo)model,veterans affairs(VA)model,Brock University(Brock)model,Peking University(PKU)model and Guangzhou Medical University(GZMU)model,respectively.PN malignancy probability was calculated.The receiver operating characteristic(ROC)curves were plotted.The diagnostic efficiency of each model was compared according to the area under the curve(AUC).Results There were statistically significant variables including age,family history of cancer,maximum nodule diameter,nodule type,upper lobe of lung,calcification,vascular convergence sign,lobulation,clear border,spiculation,and serum CEA,SCCA,CYFRA21-1 using univariate analysis.Multiple regression analysis showed that age,CEA,clear border,CYFRA21-1,SCCA,upper lobe of lung,maximum nodule diameter,family history of cancer,spiculation and nodule type were independent predictors of PN nature.The prediction model equation constructed in this study is as follows:f(x)= ex/(1+ex),X=(-6.318 8+0.020 8×Age+0.527 4×CEA-0.928 4×clear border+0.294 6×Cyfra21-1+0.294×maximum nodule diameter+1.220 1×family history of cancer +0.573 2×upper lobe of lung +0.064 8×SCCA +1.461 5×Spiculation +1.497 6×nodule type).The AUC(0.799 vs 0.659,0.650)of the proposed model was significantly higher compared with Mayo model and VA model,and there were statistically significant differences(Z=3.029,2.638,P=0.003,0.008).However,compared with Brock model,PKU model and GZMU model,the differences of AUC(0.799 vs 0.762,0.773,0.769)were not statistically significant(Z=1.063,0.686,0.757,P=0.288,0.493,0.449).Conclusion The prediction model for PN nature established in this study is accurate and reliable,which can help clinics with early diagnosis and early intervention,and this prediction model deserves to be popularized.

Objective To Explore the feasibility and value of deep learning technology for quality control of echocardiography images.Methods A total of 180985 echocardiography images collected from Sichuan Provin-cial People's Hospital between 2015 and 2022 were selected to establish the experimental dataset.Two task models of the echocardiography standard views quality assessment method were trained,including intelligent recognition of seven types of views(six standard views and other views)and quality scoring of six standard views.The predictions of the models on the test set were compared with the results of the sonographer's annotation to assess the accuracy,feasibility,and timeliness of the runs of the two models.Results The overall classification accuracy of the stan-dard views recognition model was 98.90%,the precision was 98.17%,the recall was 98.18%and the F1 value was 98.17%,with the classification results close to the expert recognition level;the average PLCC of the six standard views quality scoring models was 0.933,the average SROCC was 0.929,the average RMSE was 7.95 and the average MAE was 4.83,and the prediction results were in strong agreement with the expert scores.The single-frame inference time after deployment on the 3090 GPU was less than 20 ms,meeting real-time requirements.Conclusion The echocardiography standard views quality assessment method can provide objective and accurate quality assessment results,promoting the development of echocardiography image quality control management towards real-time,objective,and intelligent.

Objective: To evaluate the risk of fine particulate matter (PM2.5) on excess mortality among residents. Methods: The data of residential mortality in Yangzhou City, Jiangsu Province from 2015 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The average daily mass concentration of PM2.5 and meteorology data were collected from the Yangzhou Environmental Monitoring Station and Yangzhou Meteorological Bureau, respectively. The effects of PM2.5 on non-accidental mortality, morality of respiratory diseases and mortality of circulatory diseases were evaluated using a generalized additive model. The risk of excess mortality was evaluated using excess risk (ER) and the number of excess mortality. Results: The median average annual mass concentration of PM2.5 was 38.00 (interquartile range, 31.95) µg/m3 in Yangzhou City from 2015 to 2021, decreasing from 51.75 (interquartile range, 32.82) µg/m3 in 2015 to 28.00 (interquartile range, 23.42) µg/m3 in 2021. The median average annual number of non-accidental mortality, mortality of respiratory diseases and mortality of circulatory diseases were 96 (interquartile range, 22), 9 (interquartile range, 5) and 38 (interquartile range, 13) cases, respectively. The greatest effects of per 10 μg/m3 increase in PM2.5 mass concentration on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases were seen at a cumulative lag of 1 day (ER=0.528%, 95%CI: 0.293%-0.763%), a cumulative lag of 2 days (ER=0.917%, 95%CI: 0.125%-1.714%) and a cumulative lag of 1 day (ER=0.595%, 95%CI: 0.232%-0.961%), respectively. The number of excess mortality caused by PM2.5 on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases in Yangzhou City from 2015 to 2021 were 2 125, 412 and 977 cases, respectively; compared with 2015, the number of excess mortality in 2021 decreased by 66.95%, 75.53% and 64.42%, respectively. Conclusions An increase in the mass concentration of atmospheric PM2.5 may elevate the risk of excess mortality among residents. Compared to 2015, the number of excess deaths attributed to exposure to atmospheric PM2.5 declined in 2021.