Objective: To investigate the health-related quality of life and its influencing factors in elderly patients with metabolic syndrome (MS), so as to provide the evidence for improving health-related quality of life in older adults with chronic diseases. Methods: In 2021, elderly MS patients aged ≥60 years from four districts in Nanjing City were selected as the study subjects using a multi-stage random sampling method. Data on social demographic information, lifestyle, disease history and blood biochemical indicators were collected through questionnaire surveys, physical examination and laboratory tests. Health utility value and EuroQol Visual Analog Scale (EQ-VAS) score were assessed using the EuroQol 5-dimension 3-level questionnaire. Factors affecting health-related quality of life were identified with the Tobit regression model and multiple linear regression model. Results: A total of 3 378 elderly MS patients were included, with a median age of 67.00 (interquartile range, 7.00) years. There were 1 558 males (46.12%) and 1 820 females (53.88%). The median (interquartile range) of health utility value and EQ-VAS score were 1.00 (0.03) and 80.00 (15.00). Tobit regression and multiple linear regression analysis showed that gender (female, β=-0.034), education level (middle school, β=0.024; junior college and above, β=0.046), marital status (married, β=0.014), physical activity (sufficient, β=0.013), vegetable intake (meet standard, β=-0.009) and fruit intake (meet standard, β=0.016) were the influencing factors of health utility value. Residence (urban area, β=1.933) and alcohol consumption (yes, β=1.761) were influencing factors of EQ-VAS score. Age, cardiovascular and cerebrovascular diseases, malignant tumors and chronic respiratory diseases were the influencing factors of health utility value and EQ-VAS score. Conclusion Age, sex, marital status, residence, lifestyle and disease are mainly associatied with the health-related quality of life in elderly MS patients.

Objective:To establish HPLC fingerprint and methods for determining the contents of four iridoid glycosides of Gentiana rigescens; To evaluate the quality of Gentiana rigescens from different origins; To improve the quality control level of Gentiana rigescens medicinal materials.Methods:Using 15 batches of Gentiana rigescens from the main production areas and authentic production areas as raw materials, the common mode of HPLC fingerprints of Gentiana rigescens was established, and the chemical components of the common peaks were identified. Referring to the common mode of fingerprints, similarity analysis was conducted on the fingerprints of Gentiana rigescens from different origins. Using chemometric methods, cluster analysis (HCA), principal component analysis (HCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed on 15 batches of Gentiana rigescens, with the common peak area of fingerprint as the variable. The contents of four types of iridoid glycosides in Gentiana rigescens were determined. Combined with the fingerprints and the content results of four types of iridoid glycosides, the quality of Gentiana rigescens from different origins was evaluated.Results:The fingerprints of Gentiana rigescens contained 9 common peaks, with 4 identified iridoid glycosides. The similarity of the fingerprints of 15 batches of Gentiana rigescens ranged from 0.962 to 0.999. HCA and PCA divided the 15 batches of Gentiana rigescens into two categories. OPLS-DA analyzed 3 significantly different components, namely gentiopicroside, peak 7, and loganic acid. The content determination results showed that the average contents of loganic acid, swertiamarin, and gentiopicroside in Gentiana rigescens from Dali Bai Autonomous Prefecture and Yunnan Province were the highest, and the total amount of four iridoid glycosides was also significantly higher than that from other regions, indicating that the overall quality of Gentiana rigescens from Dali Bai Autonomous Prefecture and Yunnan Province was relatively good.Conclusion:This method is simple, fast, accurate, and can provide reference for improving the quality standards of Gentiana rigescens.

The air supply and pressure regulating system is a basic part of the physical and chemical regenerative life protection and non-regenerative life protection of manned spacecraft.One of the key systems for the smooth operation of the system.In order to ensure the on-orbit safety and reliability of the high-pressure gas source in the gas supply and pressure regulation system,a two-stage pressure reducing valve is often used to reduce and stabilize the pressure,so as to provide downstream products with low-pressure gas with stable flow and velocity;therefore the pressure reducing valve is an important part to ensure the safety of the gas source.In this paper,based on the structure and principle of a certain type of double-stage pressure reducing valve,the simulation model of the double-stage pressure reducing valve is established by using the pneumatic and pneumatic component design library of AMESim,and the model is compared and verified by experimental data.The results show that the simulation model predicts the working process of the pressure reducing valve well,and the simulation scheme and model are accurate and effective.On this basis,the AMESim simulation model is used to analyze the key process design parameters such as spring stiffness,spool mass and damping hole cross-sectional area of the pressure reducing valve,and the influence laws on the output pressure of the pressure reducing valve and the structural dynamic characteristics are obtained.The findings presented in this paper offer valuable research insights and theoretical support for enhancing the performance of the two-stage pressure reducing valve,as well as providing useful references for future design improvements and on-orbit upgrades.

Stress refers to the non-specific responses of a stimulated body to different stressors and the subsequent maintenance or restoration of internal environmental homeostasis.Adverse stress reactions lead to general balance disruption and may cause digestive,neurological,and endocrine disorders,and decreased immune capacity,which seriously impact host health.As the core compo-nent of intestinal micro-ecology,the intestinal flora can greatly alter its own composition,distribu-tion,function,metabolic product output,and other aspects during stress,which cause disorders and aggravate homeostatic imbalance in internal environments.While the intestinal flora is of great sig-nificance to animal medicine and agricultural production,little is known about stress and its impact on intestinal flora.Therefore,we briefly reviewed the impact of stress on animal intestinal flora in combination with the latest research and provided theoretical insights on intestinal health research.

Objective:To investigate the influencing factors of adult dental fluorosis in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.Methods:A case-control study was conducted in January 2024 to select adult fluorosis patients (case group) and healthy individuals (control group) from the drinking water-borne endemic fluorosis areas in Helinger County, Hohhot City, Inner Mongolia Autonomous Region as the survey subjects. Urine samples were collected to determine urinary fluoride concentration. A questionnaire survey was conducted. SPSS 25.0 software was used for χ 2 test and multivariate logistic regression analysis. Restricted cubic spline (RCS) was used to analyze the association between urinary fluoride concentration and the risk of dental fluorosis in adults. Results:A total of 161 individuals were included in the survey, including 100 in the case group and 61 in the control group. The results of univariate analysis showed that there were statistically significant differences in the distribution of gender, smoking, and urinary fluoride concentration between the case group and the control group (χ 2 = 7.54, 5.02, 9.69, P < 0.05). The results of multivariate logistic regression analysis indicated that gender ( OR = 0.36, 95% CI: 0.18 - 0.73, P = 0.005) and urinary fluoride concentration ( OR = 3.08, 95% CI: 1.46 - 6.67, P = 0.003) were the influencing factors of adult fluorosis. RCS analysis showed a significant linear dose-response relationship between the risk of dental fluorosis and urinary fluoride concentration ( Poverall trend = 0.001, Pnonlinear = 0.071). When the urinary fluoride concentration was greater than 1.57 mg/L, the risk of dental fluorosis increased with the increase of urinary fluoride concentration. Conclusion:Gender and urinary fluoride concentration are the risk factors of dental fluorosis in adults in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.

Stress refers to the non-specific responses of a stimulated body to different stressors and the subsequent maintenance or restoration of internal environmental homeostasis.Adverse stress reactions lead to general balance disruption and may cause digestive,neurological,and endocrine disorders,and decreased immune capacity,which seriously impact host health.As the core compo-nent of intestinal micro-ecology,the intestinal flora can greatly alter its own composition,distribu-tion,function,metabolic product output,and other aspects during stress,which cause disorders and aggravate homeostatic imbalance in internal environments.While the intestinal flora is of great sig-nificance to animal medicine and agricultural production,little is known about stress and its impact on intestinal flora.Therefore,we briefly reviewed the impact of stress on animal intestinal flora in combination with the latest research and provided theoretical insights on intestinal health research.

Objective:To investigate the influencing factors of adult dental fluorosis in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.Methods:A case-control study was conducted in January 2024 to select adult fluorosis patients (case group) and healthy individuals (control group) from the drinking water-borne endemic fluorosis areas in Helinger County, Hohhot City, Inner Mongolia Autonomous Region as the survey subjects. Urine samples were collected to determine urinary fluoride concentration. A questionnaire survey was conducted. SPSS 25.0 software was used for χ 2 test and multivariate logistic regression analysis. Restricted cubic spline (RCS) was used to analyze the association between urinary fluoride concentration and the risk of dental fluorosis in adults. Results:A total of 161 individuals were included in the survey, including 100 in the case group and 61 in the control group. The results of univariate analysis showed that there were statistically significant differences in the distribution of gender, smoking, and urinary fluoride concentration between the case group and the control group (χ 2 = 7.54, 5.02, 9.69, P < 0.05). The results of multivariate logistic regression analysis indicated that gender ( OR = 0.36, 95% CI: 0.18 - 0.73, P = 0.005) and urinary fluoride concentration ( OR = 3.08, 95% CI: 1.46 - 6.67, P = 0.003) were the influencing factors of adult fluorosis. RCS analysis showed a significant linear dose-response relationship between the risk of dental fluorosis and urinary fluoride concentration ( Poverall trend = 0.001, Pnonlinear = 0.071). When the urinary fluoride concentration was greater than 1.57 mg/L, the risk of dental fluorosis increased with the increase of urinary fluoride concentration. Conclusion:Gender and urinary fluoride concentration are the risk factors of dental fluorosis in adults in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

Objective To observe the value of contrast-enhanced ultrasound(CEUS)for evaluating blood supply pattern of pancreatic ductal adenocarcinoma(PDAC).Methods A total of 210 single PDAC patients proved by pathology who underwent CEUS and contrast enhanced CT(CECT)examination were retrospectively enrolled.Blood supply patterns of PDAC,i.e.deficient or rich blood supply were evaluated based on findings of CEUS 25 s(CEUS-25 s)and 35 s(CEUS-35 s)after contrast agents injection and CECT,respectively.The evaluation results were compared among different methods.Disease free survival(DFS)and overall survival(OS)of patients with deficient and rich blood supply PDAC shown on CEUS-25 s were followed up and compared.Results CEUS-25 s found 60.00％(126/210)PDAC with deficient blood supply(poor blood supply group),while 40.00％(84/210)with rich blood supply(rich blood supply group).CEUS-35 s showed that the proportion deficient blood supply PDAC increased to 70.48％(148/210,P＜0.05),22 lesions changed from rich blood supply pattern on CEUS-25 s to deficient blood supply pattern.CECT displayed deficient blood supply in 91.90％(193/210)PDAC but rich blood supply in 8.10％(17/210)PDAC,both being significant different compared with results of CEUS-25 s and CEUS-35 s(both P＜0.05).Fifteen-five cases in deficient blood supply group and 39 in rich blood supply group completed 12(8,25)months'follow-up,and the median DFS of patients in deficient blood supply group and rich blood supply group was 8(6,10)and 12(7,17)months,respectively,with the median OS of 14(9,17)and 19(16,24)months,respectively.The median DFS and OS in poor blood supply group were both shorter than those in rich blood supply group(x2=17.227,27.166,both P＜0.001).Conclusion CEUS had important clinical value for evaluating blood supply pattern of PDAC.

Objective:The emergence of polymyxin-resistant Klebsiella pneumoniae(KPN)in clinical settings necessitates an analysis of its antibiotic resistance characteristics,epidemiological features,and risk factors for its development.This study aims to provide insights for the prevention and control of polymyxin-resistant KPN infections. Methods:Thirty clinical isolates of polymyxin-resistant KPN were collected from the Third Xiangya Hospital of Central South University.Their antibiotic resistance profiles were analyzed.The presence of carbapenemase KPC,OXA-48,VIM,IMP,and NDM was detected using colloidal gold immunochromatography.Hypervirulent KPN was initially screened using the string test.Biofilm formation capacity was assessed using crystal violet staining.Combination drug susceptibility tests(polymyxin B with meropenem,tigecycline,cefoperazone/sulbactam)were conducted using the checkerboard method.Polymyxin-related resistance genes were detected by PCR.Multi-locus sequence typing(MLST)was performed for genotyping and phylogenetic tree construction.The study also involved collecting data from carbapenem-resistant(CR)-KPN polymyxin-resistant strains(23 strains,experimental group)and CR-KPN polymyxin-sensitive strains(57 strains,control group)to analyze potential risk factors for polymyxin-resistant KPN infection through univariate analysis and multivariate Logistic regression.The induction of resistance by continuous exposure to polymyxin B and colistin E was also tested. Results:Among the 30 polymyxin-resistant KPN isolates,28 were CR-KPN,all producing KPC enzyme.Four isolates were positive in the string test.Most isolates showed strong biofilm formation capabilities.Combination therapy showed additive or synergistic effects.All isolates carried the pmrA and phoP genes,while no mcr-1 or mcr-2 genes were detected.MLST results indicated that ST11 was the predominant type.The phylogenetic tree suggested that polymyxin-resistant KPN had not caused a hospital outbreak in the institution.The use of two or more different classes of antibiotics and the use of polymyxin were identified as independent risk factors for the development of polymyxin-resistant strains.Continuous use of polymyxin induced drug resistance. Conclusion:Polymyxin-resistant KPN is resistant to nearly all commonly used antibiotics,making polymyxin-based combination therapy a viable option.No plasmid-mediated polymyxin-resistant KPN has been isolated in the hospital.Polymyxin can induce resistance in KPN,highlighting the need for rational antibiotic use in clinical settings to delay the emergence of resistance.