ObjectiveNeuroinflammation plays a crucial role in both the onset and progression of ischemic stroke, exerting a significant impact on the recovery of the central nervous system. Excessive neuroinflammation can lead to secondary neuronal damage, further exacerbating brain injury and impairing functional recovery. As a result, effectively modulating and reducing neuroinflammation in the brain has become a key therapeutic strategy for improving outcomes in ischemic stroke patients. Among various approaches, targeting immune regulation to control inflammation has gained increasing attention. This study aims to investigate the role of in vitro induced regulatory T cells (Treg cells) in suppressing neuroinflammation after ischemic stroke, as well as their potential therapeutic effects. By exploring the mechanisms through which Tregs exert their immunomodulatory functions, this research is expected to provide new insights into stroke treatment strategies. MethodsNaive CD4⁺ T cells were isolated from mouse spleens using a negative selection method to ensure high purity, and then they were induced in vitro to differentiate into Treg cells by adding specific cytokines. The anti-inflammatory effects and therapeutic potential of Treg cells transplantation in a mouse model of ischemic stroke was evaluated. In the middle cerebral artery occlusion (MCAO) model, after Treg cells transplantation, their ability to successfully migrate to the infarcted brain region and their impact on neuroinflammation levels were examined. To further investigate the role of Treg cells in stroke recovery, the changes in cytokine expression and their effects on immune cell interactions was analyzed. Additionally, infarct size and behavioral scores were measured to assess the neuroprotective effects of Treg cells. By integrating multiple indicators, the comprehensive evaluation of potential benefits of Treg cells in the treatment of ischemic stroke was performed. ResultsTreg cells significantly regulated the expression levels of both pro-inflammatory and anti-inflammatory cytokines in vitro and in vivo, effectively balancing the immune response and suppressing excessive inflammation. Additionally, Treg cells inhibited the activation and activity of inflammatory cells, thereby reducing neuroinflammation. In the MCAO mouse model, Treg cells were observed to accumulate in the infarcted brain region, where they significantly reduced the infarct size, demonstrating their neuroprotective effects. Furthermore, Treg cell therapy notably improved behavioral scores, suggesting its role in promoting functional recovery, and increased the survival rate of ischemic stroke mice, highlighting its potential as a promising therapeutic strategy for stroke treatment. ConclusionIn vitro induced Treg cells can effectively suppress neuroinflammation caused by ischemic stroke, demonstrating promising clinical application potential. By regulating the balance between pro-inflammatory and anti-inflammatory cytokines, Treg cells can inhibit immune responses in the nervous system, thereby reducing neuronal damage. Additionally, they can modulate the immune microenvironment, suppress the activation of inflammatory cells, and promote tissue repair. The therapeutic effects of Treg cells also include enhancing post-stroke recovery, improving behavioral outcomes, and increasing the survival rate of ischemic stroke mice. With their ability to suppress neuroinflammation, Treg cell therapy provides a novel and effective strategy for the treatment of ischemic stroke, offering broad application prospects in clinical immunotherapy and regenerative medicine.

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 analyze the coupling and coordination relationship between multi-level medical security and medical resource allocation,and reveal the obstructive factors and dynamic evolution characteristics of spatial differences in the coordinated development of the two systems.Method:Based on the panel data of 31 provinces in China(excluding Hong Kong,Macao and Taiwan),a multi-level medical security and medical resource allocation index system was constructed.Entropy weight method,coupling coordination degree model,obstacle degree model,Dagum Gini coefficient and other methods were used to analyze the coupling coordination situation,obstacle factors and spatial distribution characteristics of the two systems.Result:The coupling and coordination degree of multi-level medical security and medical resource allocation in our country has steadily improved,but the overall level is still relatively low and is affected by multiple obstructive factors.The overall spatial difference in the coupling coordination degree of the two systems shows a downward trend,and this difference is mainly caused by the differences between regions.Conclusion:It is recommended to enhance policy coordination and departmental collaboration to improve the level of coupling and coordination.Build an efficient medical insurance payment mechanism and improve the quality of medical resource supply.Implement differentiated regional policies to promote balanced regional development.

Objective:In critical care medicine, extubation is a pivotal step in the management of mechanically ventilated patients. Accurately determining the optimal timing for extubation is essential for minimizing complications and improving patient survival rates. However, reliable indicators to predict clinical outcomes following extubation remain scarce. This study aims to identify a novel and robust predictor of extubation success in critically ill patients, thereby providing clinicians with more precise decision-making support.Methods:This retrospective study analyzed data from adult patients who underwent mechanical ventilation and were evaluated for extubation across six intensive care units (ICUs) at Xiangya Third Hospital of Central South University between January 2019 and December 2021. Patients with a history of difficult airway, upper airway obstruction, or neuromuscular disorders affecting respiratory function were excluded. The primary outcome was the reintubation rate within 24 hours post-extubation. Categorical variables were analyzed using the chi-square test or Fisher’s exact test, while between-group differences were assessed with the Mann-Whitney U test. Significant predictors identified in univariate analysis were further evaluated via multivariate logistic regression. The diagnostic accuracy of the maximum inspiratory pressure/body mass index (MIP/BMI) ratio was determined using receiver operating characteristic (ROC) curve analysis, with the Youden index employed to establish the optimal cutoff value. Kaplan-Meier analysis and log-rank tests were used to compare extubation success rates between groups. Statistical analyses were performed using SPSS V28.0 and Stata v.16.0. Results:Diabetes comorbidity ( OR: 8.181, 95% CI: 1.659–40.338) and MIP/BMI ( OR: 0.140, 95% CI: 0.042–0.469) were identified as independent predictors of reintubation. The area under the ROC curve (AUROC) for MIP/BMI was 0.753, demonstrating good predictive accuracy. The optimal cutoff value for MIP/BMI was 1.26 cmH 2O/(kg·m 2), with a sensitivity of 55.3% and specificity of 92.3%. Kaplan-Meier analysis revealed a significantly higher reintubation rate in the low MIP/BMI group compared to the high MIP/BMI group ( P = 0.009), further validating its predictive utility. Conclusions:This study establishes MIP/BMI as a novel and clinically valuable predictor of extubation outcomes in critically ill patients. A cutoff value of 1.26 cmH 2O/(kg·m 2) was found to best predict successful extubation.

Objective:To explore the effect of preoperative visits based on lean management theory in the preoperative psychological state of patients undergoing cardiopulmonary bypass surgery.Methods:According to the coin toss method,72 patients undergoing cardiopulmonary bypass surgery admitted to the Cardiothoracic Surgery Department of Chenzhou First People's Hospital from May 2024 to August 2024 were randomly divided into control group and observation group,with 36 cases in each group.The control group was given routine preoperative visits,and the observation group was given preoperative visits based on lean management theory on the basis of the control group.The psychological state,information demand level,vital signs and satisfaction of the patients were compared between the two groups 1 day before operation and when entering the room.Results:After intervention,the scores of State Anxiety Scale(S-AI)and Amsterdam Preoperative Anxiety and Information Scale(APAIS)were decreased in both groups,and the observation group were significantly lower than control group(P＜0.05).The vital signs(heart rate,systolic blood pressure and diastolic blood pressure)in observation group were lower than control group(P＜0.05).After intervention,the satisfaction of patients in observation group was significantly increased(P＜0.05).Conclusion:The implementation of preoperative visit based on lean management theory can help improve the preoperative psychological state of patients undergoing cardiopulmonary bypass surgery,eliminate anxiety,provide patients with more targeted surgical information support for patients,stabilize patients 'vital signs,and improve patients' satisfaction.

Aim To investigate the role of triggering receptor expressed on myeloidcells 2(TREM2)in syn-aptic plasticity induced by cocaine addiction.Methods C57BL/6J mice and Trem2 knockout mice were uti-lized in this study to evaluate the alterations in postsyn-aptic density protein 95(PSD-95)and synapsin 1(SYN1)within the cortex and hippocampus of co-caine-addicted mice by using immunological tech-niques.Results HE staining and Nissl staining showed increased neuronal damage in the hippocampus and cortex of mice after cocaine addiction.The results of immunohistochemistry and fluorescence of PSD-95 and SYN1 were consistent with the expression trend of Western blot.In the wild type mouse model,the ex-pression level of PSD-95 in the hippocampus and cortex was lower than that in the saline group,and the ex-pression of SYN1 was higher than that in the saline group.In the knockout mouse model,the expression levels of PSD-95 and SYN1 in the hippocampus and cortex were significantly higher than those in the saline group after cocaine addiction.The expression levels of PSD-95 and SYN1 in the hippocampus and cortex of cocaine knockout mice were higher than those of co-caine wild type mice.Conclusion Cocaine addiction can change the synaptic plasticity,and TREM2 plays a regulatory role in the synaptic plasticity of hippocampus and cortex in mice with cocaine injury.TREM2 is ex-pected to be a new target for studying the mechanism of cocaine addiction.

Objective:To analyze the coupling and coordination relationship between multi-level medical security and medical resource allocation,and reveal the obstructive factors and dynamic evolution characteristics of spatial differences in the coordinated development of the two systems.Method:Based on the panel data of 31 provinces in China(excluding Hong Kong,Macao and Taiwan),a multi-level medical security and medical resource allocation index system was constructed.Entropy weight method,coupling coordination degree model,obstacle degree model,Dagum Gini coefficient and other methods were used to analyze the coupling coordination situation,obstacle factors and spatial distribution characteristics of the two systems.Result:The coupling and coordination degree of multi-level medical security and medical resource allocation in our country has steadily improved,but the overall level is still relatively low and is affected by multiple obstructive factors.The overall spatial difference in the coupling coordination degree of the two systems shows a downward trend,and this difference is mainly caused by the differences between regions.Conclusion:It is recommended to enhance policy coordination and departmental collaboration to improve the level of coupling and coordination.Build an efficient medical insurance payment mechanism and improve the quality of medical resource supply.Implement differentiated regional policies to promote balanced regional development.

Objective:To investigate the value of phase-resolved functional lung MRI (PREFUL-MRI) in identifying pulmonary perfusion and ventilation defects in patients with restrictive ventilatory dysfunction (RVD).Methods:This study was a cross-sectional study. Participants were prospectively enrolled from March 2023 to July 2024 at Beijing Chaoyang Hospital, Capital Medical University, where they underwent pulmonary function testing [indicators including first second forced expiratory volume (FEV 1), forced vital capacity(FVC), FVC percent predicted(FVC%pred), FEV 1 percent predicted(FEV 1%pred),et al] and low-dose CT examinations. Based on pulmonary function results, all participants were divided into an RVD group and a control group. The RVD group was further subdivided into a mild RVD subgroup (FEV 1%pred≥70%) and a moderate-to-severe RVD subgroup (FEV 1%pred<70%). All participants underwent PREFUL-MRI examination. Quantitative lung perfusion parameters were measured, including perfusion quantified (Q Quantified) and perfusion defect percentage (QDP). Ventilation parameters were also acquired, including regional ventilation (RVent), flow-volume loop correlation metric (FVL-CM), and ventilation defect percentages (VDP RVent and VDP FVL-CM). Comparisons of continuous variables between groups were performed using the Mann-Whitney U test, while categorical variables were compared using the χ2 test or Fisher′s exact test. Spearman correlation analysis was used to assess the relationships between pulmonary function parameters and lung perfusion and ventilation parameters. Variables showing statistically significant differences between the RVD and control groups, or between the mild and moderate-to-severe RVD subgroups in univariate analyses, were included in multivariate binary logistic regression analysis to identify independent risk factors for the occurrence of RVD and moderate-to-severe RVD, and predictive models were constructed. The predictive performance of the models was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:A total of 37 patients were included in the RVD group (23 males and 14 females), with a median age of 59 (52, 75)years. Among them, 18 had mild RVD and 19 had moderate-to-severe RVD. The control group consisted of 49 individuals (39 males and 10 females), with a median age of 55(46.5, 60) years. The RVD group had lower FEV 1%pred, FVC%pred, and Q Quantified, and higher RVent and QDP compared to the control group ( P<0.05). The moderate-to-severe RVD subgroup had lower FEV 1%pred, FVC%pred, and Q Quantified, and higher RVent and QDP than the mild RVD subgroup ( P<0.05). In the RVD group, FEV 1%pred and FVC%pred showed significant positive correlations with RVent and Q Quantified, and significant negative correlations with QDP ( P<0.05). The FEV 1/FVC ratio was positively correlated with RVent and FVL-CM, and negatively correlated with VDP RVent, VDP FVL-CM, and QDP ( P<0.05). Logistic regression analysis revealed that Q Quantified ( OR=0.97, 95% CI 0.94-0.99, P=0.005) and QDP ( OR=1.23, 95% CI 1.07-1.41, P=0.003) were independent predictors of RVD, and the AUC of the predictive model was 0.823. QDP ( OR=1.23, 95% CI 1.07-1.41, P=0.003) was identified as an independent predictor of moderate-to-severe RVD, with the model achieving an AUC of 0.825. Conclusions:PREFUL-MRI facilitates the noninvasive assessment of pulmonary perfusion abnormalities in RVD. The quantitative perfusion parameter serves as a valuable biomarker for detecting RVD and evaluating its severity, offering a novel tool for both pathophysiological research and clinical assessment.

Objective:To investigate the association between albumin-corrected anion gap(ACAG)and short-to long-term death out-comes in patients with acute pancreatitis(AP).Methods:This retrospective study was based on the Medical Information Mart for Inten-sive Care-IV database,and the adult patients who were diagnosed with AP and were admitted to the intensive care unit were enrolled in this study.Cox regression risk analysis,receiver operating charac-teristic(ROC)curve analysis,Kaplan-Meier survival curve analy-sis,restricted cubic spline,and subgroup analysis were used to in-vestigate the value of ACAG in predicting the death outcome of AP patients.Results:A total of 444 patients were enrolled in this study,and according to the death status of the patients on day 28 after ad-mission,the patients were divided into survival group with 412 pa-tients and death group with 32 patients,with a mortality rate of 7.2%on day 28 after admission.The multivariate Cox regression analysis showed that ACAG was an independent predictive factor for all-cause mortality rate on day 28 after admission in AP patients(hazard ratio[HR]=1.18,95%CI=1.05-1.32),while it was not an in-dependent predictive factor for death outcome on days 90(HR=1.05,95%CI=0.97-1.14)and 180(HR=1.01,95%CI=0.94-1.09)and at 1 year(HR=1.02,95%CI=0.95-1.10).The ROC curve analysis showed that ACAG had an area under the ROC curve(AUC)of 0.732(95%CI=0.632-0.832)in predicting 28-day death outcome,which was better than that of AG(AUC=0.665,95%CI=0.550-0.781)and serum albumin(Alb)(AUC=0.655,95%CI=0.550-0.761)and was similar to that of Sequential Organ Failure Assessment(SOFA)score(AUC=0.745,95%CI=0.651-0.838).The ROC curve showed that the optimal cut-off value of ACAG was 21.375.Based on the cut-off value of ACAG of 21.375,the patients were divided into high-value group and normal-value group,and the Kaplan-Meier curve analysis showed that the patients with a high level of ACAG had a significantly higher mortality rate than those with normal ACAG(P<0.001).The subgroup analysis showed that the results were stable.Conclusion:ACAG can be used as an independent pre-dictive factor for all-cause mortality rate on day 28 after admission in AP patients,with a better efficacy than AG and Alb and a similar efficacy to SOFA.However,it is not significantly associated with 90-day,180-day,and 1-year death outcomes in AP patients.

Objective:To investigate the protective mechanism of cerium oxide nanoparticles(CeO2 NPs)against acute pancreatitis(AP),with a focus on their antioxidant and anti-inflammatory properties.Methods:CeO2 NPs were characterized by transmission elec-tron microscopy(TEM)and dynamic light scattering.In in vitro experiments,cell counting Kit-8(CCK-8)assay,flow cytometry,and Western blotting were used to validate the role of CeO2 NPs in preventing the apoptosis of pancreatic acinar cells.In in vivo experi-ments,C57BL/6 mice were divided into control group,AP group,AP+CeO2 group,SAP group,and SAP+CeO2 group to investigate the mechanism of action of CeO2 NPs in alleviating inflammation and oxidative stress in AP mice.Results:CeO2 NPs demonstrated rela-tively good stability and biocompatibility,with a particle size of(50±4)nm on TEM.In vitro experiments showed that CeO2 NPs sig-nificantly reduced the apoptosis of pancreatic acinar cells by alleviating lipid peroxidation and maintaining mitochondrial membrane potential.In vivo experiments showed that CeO2 NPs could reduce the serum levels of amylase,lipase,and inflammatory cytokines(in-terleukin-6 and tumor necrosis factor-α).This result might be related to the regulation of the IKK/P53/Bcl-2 pathway.CeO2 NPs re-duced the production of reactive oxygen species and enhanced anti-oxidant response by regulating the Nrf-2 signaling pathway.Con-clusion:CeO2 NPs exert anti-inflammatory and antioxidant effects by regulating the IκB kinase/tumor protein p53/B-cell lymphoma 2(IKK/P53/bcl-2)and nuclear factor erythroid 2-related(Nrf-2)signaling pathways,thereby showing promising potential for the treatment of AP.