Objective:Based on the functional classification structure of the International Classification of Functioning, Disability and Health′s rehabilitation set (ICF-RS), the data available in the open database of the China Health and Retirement Longitudinal Study (CHARLS) were analyzed longitudinally to construct the development trajectories of different functional dimensions among China′s elderly population.Methods:The CHARLS data for 2013, 2015 and 2018 describing persons aged 60 and older were distributed using the ICF-RS′s classification structure. Group-based multi-trajectory modeling (GBMTM) was then applied to analyze the characteristics of the development trajectories of physical functioning, daily activities and social participation.Results:Different development trajectory subtypes emerged from the data. A gradual decline in physical functioning was evident throughout the study period, while daily activities first improved and then declined. Social participation was in decline throughout the period. There were, however, significant differences in the initial functional level, the degree of decline and the degree of decline reversal among the different subtype groups.Conclusions:The overall functional performance of the elderly in China shows a downward trend, but some functional dimensions can still improve with time, at least during the specific period covered in this open database. It is recommended that the ICF-RS be integrated into the CHARLS to comprehensively assess the classification of function and developmental changes among China′s elderly.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

Objective:To construct an in situ pancreatic tumor model in mice and explore the mechanism of neuromedin U (NMU) remodeling the metabolic microenvironment of pancreatic tumors via the Hedgehog signaling pathway.Methods:C57BL/6 NMU -/- heterozygous mice were bred in one cage with a female-to-male ratio of 2:1. The tail tissues of offspring rats were taken, and knockout primers were designed according to the sequence structure of NMU gene. The C57BL/6 NMU -/- mouse genotypes were identified by polymerase chain reaction (PCR) and agarose gel electrophoresis. Five C57BL/6 NMU -/- homozygotes and five wild type mice aged 8 to 9 weeks were selected, and Panc02 cell suspension of pancreatic cancer in logarithmic growth phase was injected into pancreatic tail tissue to construct tumor bearing mice model of pancreatic tumor in situ. After 3 weeks of tumor loading, flow cytometry was used to detect the abundance changes of CD8 + T cells in the spleen tissues of two groups of mice. GSE102238 (data published in August 2017) and GSE62452 (data published in July 2016) datasets were download from the Gene Expression Omnibus (GEO) database, including 119 samples of pancreatic cancer tissue and 111 samples of normal pancreatic tissue adjacent to cancer, and the differential expression factors of the two groups of samples were screened. R language limma package was used to analyze the differential expression of NMU mRNA in pancreatic cancer tissues and adjacent normal tissues; the relative expression level of NMU mRNA in pancreatic cancer patients of different ages and tumor grades was analyzed by ggpubr package. The relative expression level data of NMU mRNA in pancreatic tumor patients were extracted, and the patients were divided into high expression group (>2.48) and low expression group (<2.48) based on the median value (2.48). The CIBERSORT algorithm was used to calculate the difference in the content of infiltrating immune cells in pancreatic tumors between the two groups of patients. The overall survival of patients with different relative expression levels of NMU mRNA in the OncoLnc database (59 cases in the high expression group and 59 cases in the low expression group) was compared. The data of 178 patients with pancreatic cancer in TCGA-PAAD of The Cancer Genome Atlas (TCGA) database (updated in March 2024) were download. According to the median value of relative expression of NMU mRNA (2.740), the patients were divided into the high expression group (>2.740) and the low expression group (<2.740), with 89 cases in each group. GSEA software was used to analyze the biological functions and pathways in which the genes enriched significantly. The molecules and key targets for molecular docking were explored using the large molecule protein interaction tool PDBePISA. Spearman correlation analysis was performed using R language data packets. Results:The results of C57BL/6 NMU -/- mouse genotypes analyzed by using the gel electrophoresis pattern of PCR amplification products of tail tissues showed that the wild type was one 380 bp electrophoretic band, the homozygous type was one 450 bp electrophoretic band, and the heterozygous type was 450 bp and 380 bp electrophoretic bands. After identifying and screening pure strains mouse, reproduction was carried out, and C57BL/6 NMU -/- homozygous mice were successfully obtained. The results of flow cytometry analysis showed that the proportion of CD8 + T cells in the spleen tissues of C57BL/6 NMU -/- wild-type and homozygous pancreatic tumor bearing mice was (30.38±0.37)% and (37.00±0.48)%, with a statistically significant difference between the two groups ( t = 9.79, P < 0.001). The absolute values of CD8 + T cells were (8.36±0.27)×10 4 and (10.20±0.28)×10 4, respectively, and the difference was statistically significant ( t = 3.71, P = 0.013). In the GEO database GSE102238 and GSE62452 datasets, there were differentially expressed genes in pancreatic cancer tissues compared with adjacent tissues, including 219 up-regulated genes and 325 down-regulated genes in pancreatic cancer tissues; among them, NMU was an upregulated differentially expressed gene. The relative expression of NMU mRNA in patients aged > 65 year or grade G3-G4 was higher than that in patients aged ≤ 65 years or grade G1-G2, and the differences were statistically significant (both P < 0.05). The analysis results of CIBERSORT algorithm showed that the expression abundance of CD8 + T cells, initial CD4 + T cells, activated memory CD4 + T cells, and γδ T cells in the high expression group of NMU was lower than that in the low expression group (all P < 0.05). The overall survival of the high expression group of NMU was worse than that of the low expression group in the OncoLnc database ( P = 0.010). GSEA enrichment analysis and Spearman correlation analysis revealed significant changes in the Hedgehog signaling pathway, biosynthesis of unsaturated fatty acids and pyrimidine nucleotide metabolism, which affected tumor metabolic remodeling. Conclusions:NMU may remodel the tumor microenvironment of pancreatic cancer by regulating Hedgehog signaling pathway.

Objective:Based on the functional classification structure of the International Classification of Functioning, Disability and Health′s rehabilitation set (ICF-RS), the data available in the open database of the China Health and Retirement Longitudinal Study (CHARLS) were analyzed longitudinally to construct the development trajectories of different functional dimensions among China′s elderly population.Methods:The CHARLS data for 2013, 2015 and 2018 describing persons aged 60 and older were distributed using the ICF-RS′s classification structure. Group-based multi-trajectory modeling (GBMTM) was then applied to analyze the characteristics of the development trajectories of physical functioning, daily activities and social participation.Results:Different development trajectory subtypes emerged from the data. A gradual decline in physical functioning was evident throughout the study period, while daily activities first improved and then declined. Social participation was in decline throughout the period. There were, however, significant differences in the initial functional level, the degree of decline and the degree of decline reversal among the different subtype groups.Conclusions:The overall functional performance of the elderly in China shows a downward trend, but some functional dimensions can still improve with time, at least during the specific period covered in this open database. It is recommended that the ICF-RS be integrated into the CHARLS to comprehensively assess the classification of function and developmental changes among China′s elderly.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

Objective:To construct an in situ pancreatic tumor model in mice and explore the mechanism of neuromedin U (NMU) remodeling the metabolic microenvironment of pancreatic tumors via the Hedgehog signaling pathway.Methods:C57BL/6 NMU -/- heterozygous mice were bred in one cage with a female-to-male ratio of 2:1. The tail tissues of offspring rats were taken, and knockout primers were designed according to the sequence structure of NMU gene. The C57BL/6 NMU -/- mouse genotypes were identified by polymerase chain reaction (PCR) and agarose gel electrophoresis. Five C57BL/6 NMU -/- homozygotes and five wild type mice aged 8 to 9 weeks were selected, and Panc02 cell suspension of pancreatic cancer in logarithmic growth phase was injected into pancreatic tail tissue to construct tumor bearing mice model of pancreatic tumor in situ. After 3 weeks of tumor loading, flow cytometry was used to detect the abundance changes of CD8 + T cells in the spleen tissues of two groups of mice. GSE102238 (data published in August 2017) and GSE62452 (data published in July 2016) datasets were download from the Gene Expression Omnibus (GEO) database, including 119 samples of pancreatic cancer tissue and 111 samples of normal pancreatic tissue adjacent to cancer, and the differential expression factors of the two groups of samples were screened. R language limma package was used to analyze the differential expression of NMU mRNA in pancreatic cancer tissues and adjacent normal tissues; the relative expression level of NMU mRNA in pancreatic cancer patients of different ages and tumor grades was analyzed by ggpubr package. The relative expression level data of NMU mRNA in pancreatic tumor patients were extracted, and the patients were divided into high expression group (>2.48) and low expression group (<2.48) based on the median value (2.48). The CIBERSORT algorithm was used to calculate the difference in the content of infiltrating immune cells in pancreatic tumors between the two groups of patients. The overall survival of patients with different relative expression levels of NMU mRNA in the OncoLnc database (59 cases in the high expression group and 59 cases in the low expression group) was compared. The data of 178 patients with pancreatic cancer in TCGA-PAAD of The Cancer Genome Atlas (TCGA) database (updated in March 2024) were download. According to the median value of relative expression of NMU mRNA (2.740), the patients were divided into the high expression group (>2.740) and the low expression group (<2.740), with 89 cases in each group. GSEA software was used to analyze the biological functions and pathways in which the genes enriched significantly. The molecules and key targets for molecular docking were explored using the large molecule protein interaction tool PDBePISA. Spearman correlation analysis was performed using R language data packets. Results:The results of C57BL/6 NMU -/- mouse genotypes analyzed by using the gel electrophoresis pattern of PCR amplification products of tail tissues showed that the wild type was one 380 bp electrophoretic band, the homozygous type was one 450 bp electrophoretic band, and the heterozygous type was 450 bp and 380 bp electrophoretic bands. After identifying and screening pure strains mouse, reproduction was carried out, and C57BL/6 NMU -/- homozygous mice were successfully obtained. The results of flow cytometry analysis showed that the proportion of CD8 + T cells in the spleen tissues of C57BL/6 NMU -/- wild-type and homozygous pancreatic tumor bearing mice was (30.38±0.37)% and (37.00±0.48)%, with a statistically significant difference between the two groups ( t = 9.79, P < 0.001). The absolute values of CD8 + T cells were (8.36±0.27)×10 4 and (10.20±0.28)×10 4, respectively, and the difference was statistically significant ( t = 3.71, P = 0.013). In the GEO database GSE102238 and GSE62452 datasets, there were differentially expressed genes in pancreatic cancer tissues compared with adjacent tissues, including 219 up-regulated genes and 325 down-regulated genes in pancreatic cancer tissues; among them, NMU was an upregulated differentially expressed gene. The relative expression of NMU mRNA in patients aged > 65 year or grade G3-G4 was higher than that in patients aged ≤ 65 years or grade G1-G2, and the differences were statistically significant (both P < 0.05). The analysis results of CIBERSORT algorithm showed that the expression abundance of CD8 + T cells, initial CD4 + T cells, activated memory CD4 + T cells, and γδ T cells in the high expression group of NMU was lower than that in the low expression group (all P < 0.05). The overall survival of the high expression group of NMU was worse than that of the low expression group in the OncoLnc database ( P = 0.010). GSEA enrichment analysis and Spearman correlation analysis revealed significant changes in the Hedgehog signaling pathway, biosynthesis of unsaturated fatty acids and pyrimidine nucleotide metabolism, which affected tumor metabolic remodeling. Conclusions:NMU may remodel the tumor microenvironment of pancreatic cancer by regulating Hedgehog signaling pathway.

Objective:To summarize the clinical features of out-of-hospital extracorporeal cardiopulmonary resuscitation(ECPR) patients and analyze the factors associated with discharge survival.Methods:The data of 54 patients with ECPR in the Emergency Center of the Second Hospital Affiliated to Zhejiang University School of Medicine from January 2020 to December 2023 were analyzed. Patients were divided into the survival group and death group based on their survival status within 30 days of discharge. Kaplan Meier method was used to draw the survival curve, and COX regression analysis was used to analyze the relevant factors of survival.Results:(1) A total of 54 patients with ECPR were included in this study. 17 (31.5%) cases were discharged alive, of which 10 (58.8%) had a good neurological prognosis, while 37 case (68.5%) died.(2) Kaplan-Meier survival analysis showed that patients who received first-witness CPR, had a lower-extremity perfusion line established, underwent IABP, achieved ROSC, had normal pH, and had an initial pupillary light reflex had a longer median survival time ( P < 0.05). (3) Univariate COX regression analysis showed that statistically differences in survival time among patients with ECMO times, hypoperfusion times, initial pupil sizes, and APACHEⅡ scores ( P < 0.05); (4) Multivariate COX regression analysis showed that APACHEⅡ score, initial pupil size, and IABP were independent predictors of survival of patients discharged from the hospital with emergency ECPR; (5) The concordance index of the COX regression model was 0.921. Conclusions:The survival model demonstrates good predictive accuracy. Healthcare professionals can use the APACHEⅡscore and initial pupil size on admission as important reference indicators to assist in determining patient prognosis, and to timely initiate IABP treatment, in conjunction with the patient’s condition, to improve the survival rate of patients discharged from the hospital.

Objective To explore the anti-depression mechanism of Kai-Xin-San(KXS)via regulation of neurogenesis in hippocampus of depression-like mice.Methods The extracts of KXS were prepared and the anti-depression effects of KXS were evaluated by behavioral tests on chronic unpredictable mild stress(CUMS)induced depression-like mice.Evaluating depression-like behavior in CUMS mice through sucrose preference test,forced swimming test,tail suspension test,and other methods.Neurogenesis in hippocampus were determined by immunofluorescence assay.In addition,effects of KXS on regulating nestin expression and Wnt/b-catenin signaling pathway were explored by western blotting analysis.Amounts of cortisol,corticotropin-releasing factor(CRF),adrenocorticotropic hormone(ACTH),brain-derived neurotrophic factor(BDNF)and nerve growth factor(NGF)were determined by ELISA tests.Mouse primary neural stem cells(NSC)was used to evaluate the effect of KXS on promoting its proliferation by immunofluorescence assay.In addition,effects of KXS on regulating nestin and Wnt/β-catenin signaling pathway were also explored by Western blotting analysis.Results KXS significantly ameliorated the depression-like behaviors in presence of increased sucrose preference rate and decreased immobile time of tail suspension and forced swimming.KXS significantly promoted the neurogenesis in the hippocampus and expressions of nestin,reduced the expressions of cortisol,CRF,ACTH,increased the expressions of BDNF,NGF,and regulated Wnt/β-catenin signaling pathway.KXS also promoted the proliferation of NSCs and expressions of nestin,enhanced the translocation of b-catenin into nucleus,and regulated the expressions of proteins of Wnt/β-catenin signaling pathway.Conclusion KXS promoted neurogenesis in hippocampus and regulated Wnt/β-catenin pathway,which might contribute to its antidepressant effect.

Objective Evaluation of the effect and mechanism research of Qi-Shen-Yi-Zhi formula on improving learning and memory ability in mice injected with Aβ1-42 in hippocampus.Methods Alzheimer's disease model mice were constructed by injecting β amyloid peptide 1-42 into hippocampus and treated with water extracts of Qi-Shen-Yi-Zhi formula.The cognitive abilities of mice were assessed using Morris water maze and Y maze tests,which measure learning and memory capabilities.HE staining was used to observe the damage and TUNEL method was used to determine apoptosis of hippocampus.Detection of the expression of oxidative factors,inflammatory factors,and related antioxidant proteins and apoptotic proteins in the hippocampal tissue of a mouse model of dementia.Results Both high-dose and low-dose groups of Qi-Shen-Yi-Zhi formula significantly improved cognitive dysfunction in mice injected with Aβ1-42 in hippocampus,and attenuated the damage and apoptosis of the hippocampus.It also inhibited oxidative stress and downregulated the expressions of inflammatory factors IL-6,IL-1β and TNF-a,increased the expression of antioxidant proteins Nrf2 and HO-1,and regulated the expressions of apoptotic proteins Caspase-9,Caspase-3,Bax and Bcl-2.Conclusion Qi-Shen-Yi-Zhi formula improves the learning and memory abilities of mice injected with Aβ1-42 in hippocampus,which might be related to the attenuation of oxidative stress and neuronal inflammation of hippocampus.

Objective: To investigate the epidemiological characteristics of varicella outbreaks in primary and middle schools, and to establish a risk predictive model, so as to provide scientific guidance for the prevention of varicella outbreaks in schools. Methods: Based on a nested case-control study, primary and middle schools in 4 districts of Shanghai (Yangpu District and Jingan District) and Hangzhou (Xiaoshan District and Linping District) from January to December 2023 were selected to observe the status of varicella outbreaks. Associated factors of varicella outbreaks were investigated and used for establishing the predictive model, which was evaluated by the Hosmer-Lemeshow(H-L) goodness of fit test, receiver operating characteristic (ROC) curve, Calibration curve, decision curve analysis (DCA). Results: A total of 98 varicella outbreaks were included, with 195 schools without varicella outbreaks during the same period as controls. Eight factors, including the availability of warm water in restroom, availability of hand soap in restroom, average class size, duration of student attendance at school per day, presence of a fulltime school doctor, hesitancy of the school principal towards varicella vaccination, and rates of first and second doses of varicella vaccination, were identified as potential factors for school varicella outbreaks, with statistically significant differences (χ2/Z=10.01, 20.49, 17.43, 9.74, 32.17, 6.60, 2.20, 3.39, P<0.05). The 8 variables above were employed to construct a risk predictive model, and Hosmer-Lemeshow goodness of fit test yielded a χ2 value of 5.863 (P>0.05); the area under the ROC curve (AUC) was 0.846 (95%CI=0.799-0.893); Calibration curve analysis indicated good consistency between predicted and actual values of the model. DCA demonstrated favorable predictive performance of the model over a wide range. Conclusions The predictive model for school varicella outbreaks demonstrates satisfactory accuracy and efficacy. It suggested to make good use of this prediction model and take relevant measures to reduce the risk of varicella transmission in schools.