Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Objective: To evaluate the effects of a multidisciplinary weight management intervention, so as to provide a reference for the formulation of overweight and obesity intervention measures. Methods: From April to September 2025, overweight and obese residents aged 18-60 years who participated in a weight loss competition at the Health Management Center of Beilun People's Hospital in Ningbo City were selected as study subjects. They were divided into a control group and an intervention group. The control group received conventional weight management, while the intervention group received the multidisciplinary integrated weight management in addition to the conventional weight management, for a total intervention period of 8 weeks. Weight, body mass index (BMI), waist circumference, hip circumference, waist-to-hip ratio, fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and blood pressure were collected before and after the intervention through physical examinations and laboratory tests. The generalized estimating equations (GEE) method was employed to analyze the differences in indicators between the two groups before and after the intervention. Results: The control group comprised 241 participants, including 161 females (66.80%), with a mean age of (35.66±7.80) years. The intervention group consisted of 127 participants, including 86 females (67.72%), with a mean age of (36.80±7.05) years. No statistically significant differences were observed between the two groups at baseline in terms of age, gender, weight, BMI, or waist-to-hip ratio (all P>0.05). Results from the GEE analysis indicated significant interactions between group and time for weight, BMI, waist circumference, and hip circumference (all P<0.05) with greater reductions in these parameters observed in the intervention group compared to the control group before and after the intervention. Similarly, significant interactions between group and time were observed for FBG, TG, TC, and LDL-C (all P<0.05), with the intervention group demonstrating larger decreases in these markers compared to the control group. However, no statistically significant interactions between group and time were observed for waist-to-hip ratio, HDL-C, systolic blood pressure, and diastolic blood pressure (all P>0.05). Following the intervention, a weight loss exceeding 10% was achieved by 13 participants (5.39%) in the control group and 62 participants (48.82%) in the intervention group. The proportion of individuals with a weight loss exceeding 10% was significantly higher in the intervention group compared to the control group (P<0.05). Conclusion Compared to conventional weight management, multidisciplinary integrated weight management demonstrated greater efficacy in improving weight-related indicators and blood glucose, blood lipids, and enhancing weight loss outcomes among overweight and obese residents.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective Based on the traditional Chinese medicine theory of"simultaneous regulation of the liver and kidney,"this study integrated network pharmacology prediction,molecular docking,and animal experimental validation to analyze the multi-target regulatory network of Duzhong Xionghua(the male flower of Eucommia ulmoides)-Sanqi Hua(Sanchi flower)herb pair(hereinafter called"herb pair")in modulating glucolipid metabolic disorders in type 2 diabetes mellitus(T2DM),thereby elucidating its underlying molecular mechanism.Methods Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,China National Knowledge Infrastructure,VIP Database for Chinese Technical Periodicals,and Wanfang Data were used to obtain the active ingredients of the male flower of Eucommia ulmoides and Sanchi flower.PubChem Compound,SwissTargetPrediction,and SuperPred were used to screen and predict the targets of the drugs;The Human Gene Database,The Online Mendelian Inheritance in Man,and Therapeutic Target Database were used to screen the key gene targets of T2DM.A"component-target-pathway"network diagram was constructed using Cytoscape software,and Gene Ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were employed to identify the functions of the relevant target genes and pathways.Molecular docking was used to verify the binding activities of the core components and the key targets.For animal experiments,spontaneous T2DM model mice were used,in which the normal group consisted of six mice(wild type)from the same litter,and the 24 successfully modeled mice were randomly divided into model,metformin(0.26 g/kg),high-dose herb pair(2.6 g/kg),and low-dose herb pair groups(1.3 g/kg)according to the blood glucose levels and body weights,with six mice per group.The drugs were administered by gavage daily for six consecutive weeks.The body weight and fasting blood glucose(FBG)levels were measured weekly,and an oral glucose tolerance test was performed in the fifth week.At the end of drug administration,body weight,naso-anal length,liver and bilateral epididymal adipose mass were measured;pathological changes in the liver were observed using HE staining;serum levels of aspartate transaminase(AST),alanine amino-transferase(ALT),total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),and high-density lipoprotein cholesterol(HDL-C)were detected using colorimetric assay;and liver tissue phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)/glycogen synthase kinase-3β(GSK-3β)signaling pathway protein expressions were determined using Western blotting.Results Network pharmacology screening identified 38 active components and 669 potential targets of the herb pair.Intersection analysis with 1,275 T2DM-related targets yielded 185 common targets.Protein-protein interaction network analysis and pathway enrichment revealed the PI3K/AKT signaling pathway as a key mechanism.Molecular docking confirmed the strong binding affinity of the core components to key targets such as AKT1,suggesting that the herb pair may activate the PI3K/AKT pathway and inhibit GSK-3β activity via beta-sitosterol etc.Animal experiments demonstrated that,compared with the model group,the metformin group exhibited reduced FBG,AST,and ALT levels(P<0.01),but failed to improve body weight,Lee's index,or epididymal fat coefficient.Both herb pair doses significantly lowered Lee's index,hepatic index,and the epididymal fat coefficient(P<0.01),with the low-dose herb pair group showing attenuated body weight gain in mice.In contrast,the high-dose herb pair group exhibited decreased FBG,improved glucose tolerance,reduced TC,TG,and LDL-C levels,and increased HDL-C level(all P<0.01).HE staining revealed that all metformin and the herb pair markedly restored hepatic structure and alleviated steatosis in model mice,with more pronounced effects in the high-dose group than in the low-dose group.Western blotting result indicated that in the low-dose herb pair group,phospho-PI3K(p-PI3K),AKT,and phospho-GSK-3β(p-GSK-3β)protein expressions significantly increased(P<0.05 or P<0.01),whereas GSK-3β decreased(P<0.05).The high-dose group exhibited enhanced PI3K,p-PI3K,AKT,phospho-AKT,and p-GSK-3β protein expressions(all P<0.01),accompanied by reduced GSK-3β expression(P<0.01).Conclusion The male flower of Eucommia ulmoides-Sanchi flower herb pair may ameliorate T2DM-related glucolipid metabolic disorders by modulating the PI3K/AKT/GSK-3β pathway.

Non-alcoholic fatty liver disease(NAFLD)is a progressive liver disease caused by factors other than alcohol caused by heterotopic fat accumulation in the liver.In recent years,the incidence rate has been increasing,and there is no specific clinical drug.Studies have found that nuclear transcription factor κB(NF-κB)can activate inflammation and oxidative stress,which plays an important role in the pathogenesis of NAFLD.Traditional Chinese medicine is convenient to obtain and cheap.It can treat NAFLD through multiple channels with good clinical efficacy,and no obvious side effects have been found till now.Many studies have shown that traditional Chinese medicine can inhibit the occurrence and development of NAFLD by inhibiting the NF-κB signaling pathway.This article summarizes the research results of traditional Chinese medicine in treating NAFLD based on the NF-κB signaling pathway since 2021,for several traditional Chinese medicine extracts(flavonoids,terpenoids,polysaccharides,glycosides,alkaloids and phenolic compounds)and traditional Chinese medicine compound(Shugan Jianpi Fang,Erhuang Quzhi Granules,Fuzi Lizhong Decoction,Huangqin Decoction,Qinlian Hongqu Decoction,Jiangzhi Granules),which can inhibit the further development of NAFLD by improving liver inflammatory response,oxidative stress response,fibrosis,apoptosis,autophagy and pyroptosis through the NF-κB signaling pathway,in order to provide new ideas for future new drug development and clinical medication.

Objective:To elucidate the correlation between phase angle and malnutrition and to determine the cut-off value for phase angle to predict malnutrition in pancreatic cancer patients.Methods:This prospective cross-sectional study enrolled patients with pancreatic cancer hospitalized in the Department of Hepato-pancreato biliary Surgery at Beijing Hospital between December 2021 and March 2024. Baseline data, diet survey results, and body composition of these patients were recorded. Phase angle was measured with the InBody 720(Biospace, Korea). The Global Leadership Initiative on Malnutrition (GLIM) criteria were used to diagnose malnutrition.Results:A total of 110 cases (75 males and 35 females) aged 29-87(63.00±12.37) years were included. The prevalence of malnutrition was 63.6% (70/111) among the patients. Patients were divided into malnutrition ( n=77) and non-malnutrition ( n=33) groups as per the GLIM criteria. Phase angle was significantly lower in the malnutrition group than in the non-malnutrition group ( t=-3.808, P<0.001). Positive correlations were found between phase angle and body mass index, appendicular skeletal muscle mass index, fat-free mass index , fat-free mass, total energy intake, total protein, albumin, and prealbumin (all P<0.05).After adjusting for sex and age, low phase Angle remained an independent risk factor for malnutrition ( OR=3.809, 95% CI: 1.150-12.612, P=0.029). The cut-off values of phase angle for predicting malnutrition were 4.43 for males (with a sensitivity of 0.955, specificity of 0.585, area under the curve of 0.636; 95% CI: 0.508-0.763, P=0.037) and 4.54 for females (with a sensitivity of 1.000, specificity of 0.708, area under the curve of 0.799; 95% CI: 0.653-0.946, P<0.001). Conclusion:Phase angle may serve as a valid and simple indicator of malnutrition in pancreatic cancer patients.

Objective:To investigate the causal relationship between self-neglect,depression,and activities of daily living ability in older adults.Methods:A longitudinal investigation was conducted over two phases for 357 elderly individuals from a comprehensive care facility,employing the Activities of Daily Living Scale(ADL),the Self-Neglect in Elderly Scale(SES),and the Geriatric Depression Scale-15(GDS-15).Cross-lagged analysis was used to examine the relationships between variables.Results:The ADL,SES and GDS-15 scores were all lower at baseline than 4 months later(Ps＜0.001).The SES scores at baseline were positively correlated with the GDS-15(β=0.34,P＜0.001)and ADL scores(β=0.74,P＜0.001)4 months later.The GDS-15 scores at baseline were positively correlated with the ADL scores 4 months later(β=0.07,P＜0.01).Conclusion:Self-neglect and de-pressive symptoms among older adults could directly predict functional decline in daily activities.

Objective:To investigate the utility of a computational pathology-based tumor microenvironment(TME)score derived from whole slide images(WSIs)in predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)in patients with EGFR mutation-positive non-small cell lung cancer(NSCLC).Methods:This retrospective study collected 240 EGFR-mutant NSCLC pa-tients treated with EGFR-TKIs at The First Affiliated Hospital of Wannan Medical College and analyzed hematoxylin-eosin(H&E)-stained WSIs of biopsy specimens,along with clinical and imaging data.The patients were randomly assigned into a training cohort(n=160)and an inde-pendent validation cohort(n=80)in a 2:1 ratio.Treatment response was assessed based on CT findings at 3 months after EGFR-TKIs initi-ation.Computational pathology was employed to automatically quantify the proportions of four TME components(tumor epithelium,stroma,lymphocytes,and vasculature)within the tumor regions of WSIs.Multivariate Logistic regression in the training cohort identified TME components independently predictive of treatment response(P<0.05),which were then integrated into a TME-score.The predictive performance was evaluated using receiver operating characteristic(ROC)curve analysis and area under the curve(AUC).The TME-score model was compared with a clinical-feature-based model and a combined model(TME-score+clinical features).Finally,the models were val-idated in the independent cohort.Results:In the training cohort,the TME-score,incorporating epithelial and stromal proportions,achieved an AUC of 0.827(95%CI:0.749-0.892)for predicting treatment response,while the validation cohort yielded an AUC of 0.845(95%CI:0.735-0.937).Both outperformed the clinical model(AUCs=0.730[95%CI:0.645-0.804]and 0.712[95%CI:0.586-0.824],respectively).The combined model(TME-score+clinical features,including cytokeratin 19 fragment and non-contrast CT values)further improved predictive performance(AUCs=0.884[95%CI:0.827-0.932]and 0.882[95%CI:0.798-0.950],respectively).Delong's test for pairwise model comparis-ons showed significant differences(all P<0.05)except TME-score and the combined model in the validation cohort(P=0.289).Conclusions:TME-score outperformed clinical models in predicting EGFR-TKIs efficacy in EGFR mutation-positive NSCLC patients and may serve as a novel tool for identifying patients likely to benefit from targeted therapy.

Objective To explore the effects and mechanisms of Sanzi Sijun Formula(SSF)in non-alcoholic fatty liver disease(NAFLD)through network pharmacology,molecular docking and molecular dynamics simulation;To carry out experimental validation in vivo and in vitro.Methods The active components and target genes of SSF were screened using TCMSP,TCMIP and TCMIO databases.NAFLD-related targets were screened using the GeneCards database,and the intersection targets were obtained to construct a protein-protein interaction network and screen for core targets.The intersection targets were imported into the DAVID database for GO and KEGG enrichment analysis.Molecular docking was performed using AutoDock Vina software between the key active components of SSF and core targets,and molecular dynamics simulations were conducted using Gromacs 2022 for 100 ns.C57BL/6J mice NAFLD model was established by diet induction.SSF was administered by gavage for 8 weeks.Liver histopathological changes and the levels of non-esterified fatty acids(NEFA)were detected.In vitro NAFLD model was established by inducing AML12 cells with palmitic acid(PA)for 24 hours.SSF-containing serum was added to incubate simultaneously.The lipid accumulation and cell viability were detected.The core targets of SSF intervention in the in vitro and in vivo NAFLD models were verified by RT-qPCR and Western blot.Results Network pharmacological analysis identified 75 active components in SSF and revealed 179 shared targets between these components and NAFLD.Ten main active components including arachidonate,12-senecioyl-2E,8E,10E-atractylodin,cerebrosterol,glycyrrhizol B and sinapic acid,etc.as well as 8 core targets were identified.GO enrichment analysis of targets mainly involved protein phosphorylation,inflammatory response,and apoptosis,while the KEGG enrichment analysis mainly included AGE-RAGE,TNF,AMPK,PPAR and NF-κB signaling pathways.Molecular docking demonstrated that the major active components of SSF exhibited favorable binding affinity and stability with the core targets.Molecular dynamics simulation confirmed the stability of the complex of glyasperin B with AKT1,SIRT1,STAT3,PPARG,and TNF.SSF alleviated the pathological damage of liver tissues in mice NAFLD model,reduced NAS score and NEFA levels in liver tissues(P<0.05).Additionally,SSF reversed lipid accumulation and decreased cell viability of PA-induced AML12 cells(P<0.01).Further in vivo and in vitro experiments demonstrated that SSF significantly reversed the elevated mRNA levels of TNF-α,IL-6,IL-1β and PPARγ and protein expression of STAT3(P<0.05,P<0.01)in NAFLD models,up-regulated the protein levels of SIRT1 and p-Akt/Akt(P<0.05,P<0.01).Conclusion SSF can improve NAFLD of both in vitro and in vivo models.The regulation of multiple targets,such as AKT,SIRT1,STAT3 and PPARG,by its multiple active components,and adjustment of multiple approaches,such as lipid metabolism disorder,inflammatory responses,are involved in the potential underlying mechanisms.

Angiotensin-converting enzyme 2 (ACE2) is known for its role in regulating blood pressure and electrolyte balance, but it has also been identified as the functional receptor for coronaviruses.With the global spread of corona virus disease 2019, the role of ACE2 across different age groups, particularly in children, has garnered increasing attention.Studies indicate that the distribution of ACE2 in the respiratory systems of children and adults differs significantly, which implies a distinct functional role in pediatric respiratory diseases.This paper reviews the latest research progress on ACE2 in children′s diseases such as corona virus disease 2019, acute respiratory distress syndrome, community-acquired pneumonia, and asthma.