ObjectiveTo explore the mechanism of Yishen Huashi granules in alleviating renal tubular epithelial cell injury and relieving diabetic kidney disease by regulating the mitogen-activated protein kinase （MAPK） signaling pathway. MethodsThe db/db mice of 12 weeks old were randomly assigned into model ， dapagliflozin （1.6 mg·kg^-1）， and Yishen Huashi granules （4.7 g·kg^-1）， and db/m mice were used as the control group. The general conditions of mice were observed， and fasting blood glucose and 24-h urinary protein and albumin-to-creatinine ratio （ACR） were measured at weeks 0 and 12 of administration. After 12 weeks of treatment， the levels of serum creatinine （SCr）， blood urea （UREA）， triglycerides （TG）， total cholesterol （TC）， and low density lipoprotein （LDL） were measured. The pathological changes in the renal tissue were observed by hematoxylin-eosin （HE） staining， Periodic acid-Schiff （PAS） staining， Mallory staining， and transmission electron microscopy. Real-time PCR was employed to determine the mRNA levels of monocyte chemotactic protein-1 （MCP-1） and CC chemokine receptor-2 （CCR2） in the renal tissue of mice. The immunohistochemical assay was employed to examine the expression of p38， phospho-p38 （p-p38）， MCP-1， and CCR2 in the renal tissue of mice. Western blotting was employed to measure the protein levels of p-p38， p38， MCP-1， and CCR2 in the renal tissue of mice.HK-2 cells cultured in vitro were grouped as follows： negative control， high glucose（30 mmol·L^-1）， Yishen Huashi granule-containing serum， and SB203580. After 48 h of cell culture in each group， RNA were extracted and the levels of MCP-1， and CCR2 mRNA were determined by Real-time PCR，proteins were extracted and the levels of p38， p-p38， MCP-1， and CCR2 were determined by Western blot. ResultsThe in vivo experiments showed that before treatment， other groups had higher body weight， blood glucose level， 24 h urinary protein， and ACR than the control group （P<0.05，P<0.01）. After 12 weeks of treatment， compared with the model group， the Yishen Huashi granules group showed improved general conditions， a decreasing trend in body weight， lowered levels of blood glucose， 24-h urinary protein， and ACR （P<0.01）， reduced SCr and UREA （P<0.01）， and declined levels of TC， TG， and LDL （P<0.05，P<0.01）. Compared with the model group， the Yishen Huashi granules group showed alleviated damage and interstitial fibrosis in the renal tissue as well as reductions in glomerular foot process fusion and basement membrane thickening. Moreover， the Yishen Huashi granules group showed down-regulated mRNA levels of MCP-1 and CCR2 （P<0.01）， reduced positive expression of p-p38， MCP-1， and CCR2 （P<0.01）， and down-regulated protein levels of p-p38/p38， MCP-1， and CCR2 （P<0.05） in the renal tissue. The cell experiment showed that compared with the high glucose group， the Yishen Huashi granule-containing serum group showcased down-regulated mRNA levels of MCP-1 and CCR2 （P<0.01） and down-regulated protein levels of p-p38/p38， MCP-1， and CCR2（P<0.05，P<0.01）. ConclusionYishen Huashi granules can regulate glucose-lipid metabolism， reduce 24 h urinary protein and ACR， improve the renal function， alleviate the renal tubule injury caused by high glucose， and protect renal tubule epithelial cells in db/db mice by reducing MCP-1/CCR2 activation via the p38 MAPK signaling pathway.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss remained significantly associated with the occurrence of esophageal cancer (OR=3.038, 95%CI: 1.035-8.914). A nonlinear dose-response relationship was observed between the number of teeth lost and the incidence of esophageal cancer. When the number of teeth lost was less than 12, the risk of esophageal cancer increased with the number of teeth lost. When more than 12 teeth were lost, the risk of esophageal cancer decreased as the number of teeth lost increased. Conclusion Tooth loss is a risk factor for the occurrence of esophageal cancer in this natural village. When the number of teeth lost is less than 12, the risk of esophageal cancer increases with the number of teeth lost.

The neurophysiological mechanisms by which exercise improves cognitive function have not been fully elucidated. A comprehensive and systematic review of current domestic and international neurophysiological evidence on exercise improving cognitive function was conducted from multiple perspectives. At the molecular level, exercise promotes nerve cell regeneration and synaptogenesis and maintains cellular development and homeostasis through the modulation of a variety of neurotrophic factors, receptor activity, neuropeptides, and monoamine neurotransmitters, and by decreasing the levels of inflammatory factors and other modulators of neuroplasticity. At the cellular level, exercise enhances neural activation and control and improves brain structure through nerve regeneration, synaptogenesis, improved glial cell function and angiogenesis. At the structural level of the brain, exercise promotes cognitive function by affecting white and gray matter volumes, neural activation and brain region connectivity, as well as increasing cerebral blood flow. This review elucidates how exercise improves the internal environment at the molecular level, promotes cell regeneration and functional differentiation, and enhances the brain structure and neural efficiency. It provides a comprehensive, multi-dimensional explanation of the neurophysiological mechanisms through which exercise promotes cognitive function.
Animals ; Humans ; Brain/physiology* ; Cognition/physiology* ; Exercise/physiology* ; Nerve Regeneration/physiology* ; Neuronal Plasticity/physiology*

Objective To investigate the status quo,driving factors and clinical intervention measures of intrinsic capacity(IC)in elderly patients with cerebrovascular disease.Methods Clinical data of 206 elderly patients with cerebrovascular disease admitted to our hospital from January to December 2024 were retrospectively collected.According to the IC score,they were divided into a low IC group(123 cases,IC score＜4)and a good IC group(83 cases,IC score≥4).The IC scores were compared between the two groups,and the driving factors affecting the IC were analyzed.Results The low IC group exhibited significantly lower IC score than the good IC group(1.94±0.49 vs 4.52±0.15,P＜0.01).The age ≥80 years,dysfunctions,three or more chronic diseases,frailty,albumin ≤ 35 g/L,pre-albumin ≤280 mg/L,rehabilitation guidance and regular exercises were the influencing factors of IC in elderly patients with cerebrovascular disease(P＜0.05,P＜0.01).Conclusion The IC of elderly patients with cerebrovascular disease is associated with many factors,and corresponding clinical intervention measures should be implemented to promote the improvement of patient's IC.

With the rapid development of population aging in various countries around the world,the health and elderly care industry has been paid high attention.The standardization of smart health and elderly care technology and services is particularly important.This paper firstly reviewed the policies related to healthy elderly care in China.By analyzing the industrial standards and provincial standards issued,this paper focused on the policies proposed by the Shanghai Municipal Government for the standardization of smart health and elderly care,as well as the researches on the standard system and the construction of standard families.Shanghai group standards in the field of smart health and elderly care were summarized,including the guidelines for the construction of standard systems,elderly care service platforms,community elderly cafeterias,portable health monitoring terminals,indoor sports services,and home-based elderly care safety monitoring.A series of case analyses of the standardized implementation of the above aspects were also provided.Through standardization research and practice in recent years,it has been fully demonstrated that the standard research plays an important leading role in the field of smart health and elderly care.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective:To explore the effects of stepped exercise rehabilitation training on cardiopulmonary function and quality of life in patients with ischemic heart disease.Methods:This randomized controlled study enrolled 110 patients with ischemic heart disease admitted to Jiangsu Province Hospital between January 2021 and December 2023.Patients were randomly divided into control group(n=53,routine intervention program)and intervention group(n=52,additional stepped exercise rehabilitation training).After 3-month intervention,cardiopulmonary function[stroke volume(SV),cardiac index(CI),forced expiratory volume in the first second(FEV1),maximum voluntary ventilation(MVV)],quality of life[China questionnaire of quality of life in patients with cardiovascular diseases(CQQC)score],exercise endurance[exercise duration(ED),peak oxygen intake(VO2peak),anaerobic threshold(AT)]and incidence of major adverse cardiovascular events(MACE)were compared between the two groups.Results:We included 53 patients[28 males(52.83％),age 40～69(56.25±7.76)years old]in control group compared to 52 patients[27 males(51.92％),age 40～71(55.25±2.40)years old]in the intervention group after 3-month intervention.Com-pared to patients in the control group,those in the intervention group had significantly higher SV[(65.46±3.58)ml vs.(61.69±3.78)ml],CI[(2.82±0.12)L·min-1·m-2 vs.(2.54±0.09)L·min-1·m-2],FEV1[(2.50±0.06)L vs.(2.31±0.06)L],MVV[(79.66±0.82)L/min vs.(77.16±1.09)L/min],CQQC score[(65.23±2.84)points vs.(47.98±3.25)points],ED[(382.62±31.19)s vs.(353.37±36.32)s],VQ2peak[(20.05±2.43)ml·kg-1·min-2 vs.(16.86±1.61)ml·kg-1·min-2]and AT[(13.34±0.83)ml·kg-1·min-2 vs.(11.46±0.89)ml·kg-1·min-2](P＜0.001 all),and significantly lower total incidence of MACE(11.54％vs.32.08％,P=0.011).Conclu-sion:Stepped exercise rehabilitation training may improve cardiopulmonary function,quality of life,and exercise endurance in patients with ischemic heart disease during the rehabilitation.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.