ObjectiveTo investigate the trends in diabetes mortality and potential years of life lost (PYLL) among residents of Huangpu District, Shanghai from 1993 to 2021, to analyze the long-term trends of diabetic patients with different characteristics and to provide a reference for scientific prevention and control of diabetes in aging urban areas. MethodsDiabetes mortality data were obtained from the Huangpu District cause of death registration records in the Shanghai death cause registration system. Indicators such as crude mortality rate, standardized mortality rate, potential years of life lost (PYLL), average years of life lost (AYLL), annual percentage change (APC), and average annual percentage change (AAPC) were used to analyze diabetes-related mortality and life loss. Statistical analyses were performed using software SPSS 21.0 and Joinpoint 5.0.2. ResultsFrom 1993 to 2021, the average annual crude mortality rate of diabetes in Huangpu District was 46.56/100 000, and the average annual standardized mortality rate was 20.44/100 000. The crude mortality rate and standardized mortality rate of diabetes for female residents were higher than those for males. The crude mortality rate showed an overall increasing trend [AAPC=2.81% (95%CI: 0.20%‒5.49%), P<0.05], while the increase in standardized mortality rate significantly slowed [AAPC=0.15% (95%CI: -2.27%‒2.63%)], P<0.05]. The mortality rate rose rapidly in the 70‒74 years age group and peaked in the 85‒ years age group (607.69/100 000). Diabetes accounted for a cumulative PYLL of22 741 person-years, with an average annual AYLL of 1.88 years and an average annual potential years of life lost rate (PYLLR) of 0.82‰. Male residents had higher PYLL, AYLL, and PYLLR than females. ConclusionDiabetes mortality rates in Huangpu District have increased year by year, resulting in significant life loss. However, the age-standardized mortality rate increase has markedly slowed. Efforts should focus on elderly diabetic patients aged ≥70 years, by leveraging platforms such as community-based chronic disease health support centers, efforts should be made to enhance diabetes screening service for middle-aged and elderly residents. Consequently, elderly diabetic patients’ awareness of diabetes and responce to related complications is improved, which would be conducive to controling the progression of complications and reducing the mortolity risk of diabetes.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

OBJECTIVE To analyze the metabolites of Zhideke granules and speculate its metabolic pathway in rats in vivo. METHODS Male SD rats were randomly divided into blank group and administration group （Zhideke granules， 9.45 g/kg）； they were given ultrapure water or relevant medicine， twice a day， every 6-8 h， for 3 consecutive days. Serum， urine and feces samples of rats were collected， and their metabolites were identified by UPLC-Q-Exactive-MS technique after intragastric administration of Zhideke granules； their metabolic pathways were speculated. RESULTS After intragastric administration of Zhideke granules， 16 prototype components （i.g. irisflorentin， baicalin， chlorogenic acid） and 11 metabolites （i.g. hydration products of kaempferol or luteolin， methylation products of chlorogenic acid， and hydroxylation products of baicalin） were identified in serum， urine and feces of rats. Among them， 8 prototype components and 4 metabolites were identified in serum samples； 10 prototype components and 7 metabolites were identified in urine samples； 8 prototype components and 5 metabolites were identified in the fecal samples. CONCLUSIONS The metabolites of Zhideke granules in rats mainly include baicalin， irisflorentin，chlorogenic acid， and the main metabolic pathways included methylation， hydroxylation， glucuronidation.

Objective:To explore the evaluation of 256 slice spiral computed tomography angiography(CTA)of coronary,serum lipoprotein associated phospholipase A2(Lp-PLA2)and angiopoietin like protein 3(ANGPTL3)on the severity of coronary artery stenosis of patients with coronary heart disease.Methods:A total of 102 patients with coronary heart disease who were diagnosed and treated at Hebei Chest Hospital from July 2022 to March 2023 were selected as the study subjects.According to the Gensini score about the severity of coronary artery stenosis,they were divided into mild stenosis group(0 score≤Gensini score≤20 scores),moderate stenosis group(20 scores60 scores),with 34 cases in each group.The minimum lumen diameter(MLD),percentage of area of stenosis(%AS),percentage of diameter of stenosis(%DS),minimum lumen area(MLA),Lp-PLA2 and ANGPTL3 among three groups were compared.The diagnostic efficiency of the severity of coronary artery stenosis was predicted according to receiver operating characteristic(ROC)curve.Results:The MLA and MLD values in severe stenosis group were significantly lower than those in moderate and mild stenosis groups,while%AS and%DS were significantly higher than those in moderate and mild stenosis groups(t=6.905,4.083,5.871,6.976,3.387,2.198,2.668,3.505,P<0.05),respectively.The Lp-PLA2 and ANGPTL3 values in severe stenosis group were significantly higher than those in moderate and mild stenosis groups(t=4.164,8.220,2.575,3.050,P<0.05),respectively.ROC curve analysis showed that the area under curve(AUC)values of MLA,MLD,%AS,%DS,CCTA comprehensive parameter,LpPLA2 and ANGPTL3 were respectively were 0.838,0.690,0.742,0.801,0.904,0.808 and 0.807 in predicting the severity of coronary artery stenosis.The sensitivities of them were respectively 91.20%,91.20%,64.70%,94.10%,97.10%,70.60%and 88.20%.The specificities of them were respectively 76.50%,57.40%,75.00%,50.00%,70.60%,97.10%and 70.60%.The AUC value of CCTA comprehensive parameter was respectively higher than that of LpPLA2 and ANGPTL3,but the difference was not statistically significant(P>0.05).Conclusion:256 slice spiral CCTA,serum Lp-PLA2 and ANGPTL3 have a certain efficiency in assessing the severity of coronary artery stenosis of coronary heart disease,and 256 slice spiral CCTA has higher predictive efficiency.

Objective:To investigate the distribution characteristics of skeletal muscle mass and strength in the older adults over 65 years old in 18 longevity areas in China.Methods:The subjects were selected from the Healthy Aging and Biomarkers Cohort Study conducted in 18 longevity areas of China. A total of 4 662 older adults over 65 years old from a cross- sectional survey in 2021 were included in the study. The information about their sociodemographic characteristics, lifestyle, nutrient intake and other factors were collected through questionnaire surveys and physical examinations. Grip strength was measured by using professional electronic grip dynamometer. Total skeletal muscle mass (TSM) was measured using bioelectrical impedance analysis, and TSM was adjusted by height squared and BMI to obtain TSM Ht2 and TSM BMI. The proportion of individuals with low muscle mass and strength was determined according to the recommended method by the Asian Working Group for Sarcopenia (AWGS). Descriptive analysis was conducted on the population and regional distribution characteristics of people with different muscle mass and grip strength. A generalized additive model was used to analyze the age-related trends of muscle mass and grip strength. Results:The age of 4 662 study subjects was (82.69±10.54) years, men accounted for 46.85% (2 184 cases) and Han Chinese accounted for 96.27% (4 488 cases). The M( Q1, Q3) of TSM, TSM Ht2 and TSM BMI in men were 23.30 (20.50, 26.20) kg, 9.02 (8.13, 9.89) kg/m 2, and 1.01 (0.90, 1.13) kg·(kg/m 2) -1, respectively, which were all higher than those in women [TSM: 18.20 (15.70, 20.70) kg, TSM Ht2: 8.18 (7.42, 9.07) kg/m 2 and TSM BMI: 0.79 (0.69, 0.90) kg·(kg/m 2) -1], the differences were significant (all P<0.001). The grip strength of men [ M( Q1, Q3): 24.50 (17.80, 30.80) kg] was higher than that of women [ M( Q1, Q3): 15.60 (11.10, 19.90) kg], the difference was significant ( P<0.001). Southern elderly men had lower TSM and TSM Ht2 compared with northern elderly men (all P<0.001), while there was no significant regional difference in TSM BMI ( P>0.05). Southern elderly women had higher TSM Ht2 and TSM BMI compared with northern elderly women (all P<0.001), while there was no significant regional difference in TSM ( P>0.05). Furthermore, according to the method recommended by AWGS, the elderly with low muscle mass and grip strength were characterized by older age, illiteracy, being unmarried/divorced/widowed, poor chewing ability, impaired activity of daily living and living in southern region. Conclusion:There were population and regional differences in muscle mass and grip strength in the older adults over 65 years in 18 longevity areas of China, and these differences showed decreasing trends with age.

Objective To observe the effect of Buyang Huanwu Decoction on hippocampal tissue structure and blood perfusion in rats with focal cerebral ischemia using multi-modal MRI;To analyze the mechanism of Buyang Huanwu Decoction on hippocampal neuroplasticity combined with the expression changes of neuroplasticity proteins and glucose metabolism related transporters.Methods Focal cerebral ischemia rat model induced by right middle cerebral artery occlusion were established.The rats were divided into sham-operation group,sham-operation+Buyang Huanwu Decoction group,model group and model+Buyang Huanwu Decoction group.The rats in the sham-operation group and model group were given normal saline for 30 days,and those in the sham-operation+Buyang Huanwu Decoction group and model+Buyang Huanwu Decoction group were given Buyang Huanwu Decoction for 30 days.T2 mapping imaging was used to detect the changes in hippocampal tissue structure,the changes of cerebral blood perfusion in hippocampus were detected by arterial spin labeling imaging,Western blot was used to detect the protein expressions of SYN,GAP-43,glucose transporters and MCT.Results Compared with the sham-operation group,the T2 relaxation time of the right and left hippocampus in the model group rats significantly increased(P<0.01,P<0.001),the blood flow in the right hippocampus was significantly reduced(P<0.05),the protein expressions of SYN,GAP-43,MCT4 and MCT2 in the right hippocampus were significantly decreased(P<0.01,P<0.001),the protein expressions of GLUT1 and GLUT3 in bilateral hippocappal tissue significantly decreased(P<0.05,P<0.01,P<0.001).Compared with the model group,the T2 relaxation time in the right hippocampus of rats in model+Buyang Huanwu Decoction group was significantly reduced(P<0.05),the blood flow in the right hippocampus significantly increased(P<0.05),the protein expressions of SYN,GAP-43,GLUT1 and GLUT3 in bilateral hippocampal tissues significantly increased(P<0.01,P<0.001),and the protein expressions of MCT4 and MCT2 in right hippocampal tissue significantly increased(P<0.01,P<0.001).Conclusion Buyang Huanwu Decoction can alleviate hippocampal injury in rats with focal cerebral ischemia,which may be related to improving blood perfusion,up-regulating neuroplasticity-related proteins,promoting hippocampal axon regeneration and synaptic remodeling,regulating energy metabolism of nerve cells.

Based on today's increasingly severe aging background, the increased prevalence of chronic diseases, metabolic diseases and other disorders, and the increase in the number of disabled, incapacitated and debilitated in the elderly.However, the different types of physical activities and sports play an important role in improving the physical condition and disease state of the elderly.The concept of "exercise for health" and other concepts of big health of the Integration of Sports and Health have gradually appeared in the public's field of vision and have been widely accepted by the public.However, influenced by the top-level design, integration mechanism and policies and regulations, how to break through the dilemma of the development of the Integration of Sports and Health still needs to be explored.The EPIS framework based on implementation research provides a new path for the development of the Integration the Sports and Health.A whole process assessment is conducted in four stages: exploration, preparation, implementation and maintenance, in order to facilitate the implementation and landing of the new model of the Integration the Sports and Health.