ObjectiveTo analyze the influencing factors of hepatic fibrosis in patients with Wilson's disease （WD） and to develop and validate a predictive model for hepatic fibrosis in WD that integrates traditional Chinese medicine （TCM） syndromes and modern biomarkers， thus providing a basis for early identification of high-risk populations and medical intervention. MethodsThe clinical data of 220 WD patients diagnosed in the Department of Encephalopathy， The First Affiliated Hospital of Anhui University of Chinese Medicine between January 2010 and December 2024 were retrospectively collected. Through a random number table， patients were assigned into a training set （154 patients） and a validation set （66 patients） in a 7∶3 ratio. Univariate COX regression， LASSO regression analysis， and multivariate COX regression analysis were performed to identify independent influencing factors for hepatic fibrosis in WD patients， and a clinical prediction model was established based on these factors. The discrimination， calibration， and clinical utility of the model were evaluated based on the area under the receiver operating characteristic curve （AUC）， calibration curves， and decision curve analysis （DCA）， respectively. ResultsA total of 220 patients were included. The syndrome of combined phlegm and stasis， triglycerides （TG）， laminin （LN）， and male gender were identified as independent risk factors for hepatic fibrosis in WD patients， while TCM intervention and high-density lipoprotein cholesterol （HDL-C） were protective factors. The C-index indicated excellent discriminative ability （training set： 3-year AUC=0.908， 5-year AUC=0.869， 7-year AUC=0.829； validation set： 3-year AUC= 0.898， 5-year AUC=0.780， 7-year AUC=0.743）. Calibration curves showed good consistency. DCA demonstrated the clinical net benefit probabilities across different risk thresholds at various time points. ConclusionThe predictive model established in this study has high accuracy and can be conveniently used for the early identification and risk prediction of hepatic fibrosis in patients with WD.

ObjectiveTo investigate the association between insulin resistance （IR） and cardiovascular metabolic indicators， including blood pressure， blood lipids， and serum uric acid， in a middle-aged population. MethodsBased on the baseline survey of the Hong Sifang cohort of China National Salt Industry Group， a total of 575 participants were included. According to the homeostasis model assessment of insulin resistance， the participants were divided into an IR group （n=116） and a non-IR group （n=459）. Differences between the two groups were compared using the t-test and chi-square test. Multivariate logistic regression analysis was performed to evaluate the associations between IR and abnormalities in metabolic indicators. ResultsA total of 575 participants were included， including 390 men and 185 women， with a mean age of （48.58 ± 5.14） years and a mean body mass index （BMI） of （24.16 ± 2.97） kg/m². Blood pressure， serum uric acid， and blood lipid levels were significantly higher in the IR group than in the non-IR group （P<0.001）. After adjusting for potential confounders including age， sex， and BMI， IR was independently associated with hypertension， dyslipidemia， and hyperuricemia， with odds ratios （OR） and 95% confidence intervals （CI） of 2.57 （1.61-4.09）， 3.81 （2.36-6.17）， and 2.68 （1.53-4.71）， respectively （all P<0.001）. ConclusionInsulin resistance is significantly associated with multiple cardiovascular metabolic risk factors in the middle-aged population. Monitoring IR may contribute to the early prevention and control of cardiovascular diseases.

Objective To investigate the effect and mechnism of betaine(BET)in reversing chemotherapy resistance in prostate cancer(PCa)by inhibiting ATP-binding cassette subfamily B member 1(ABCB1).Methods The PCa chemotherapy-sensitive C4-2B cells were cultured,and the TaxR cells resistant to docetaxel(DTX)were established by gradient increase the concentration of DTX.The drug resistance of C4-2B and TaxR cells against DTX was assessed using CCK-8 and the colony formation experiment.Western blotting and qRT-PCR were used to detect ABCB1 expression.The TaxR cells were divided into:(1)Control group,negative control group(NC),siABCB1-1 group(transfected with siABCB1-1),and siABCB1-2 group(transfected with siABCB1-2).Western blotting was used to detect the effect of small interfering RNA on silencing ABCB1,and CCK-8 was used to detect the differences in DTX resistance between each group.(2)Different concentrations of BET(0,100,200,400,600,800 mmol/L)groups.These groups were subjected to CCK-8 to detect cell viability,and Western blotting was used to detect the protein expression of ABCB1.(3)Control group,DTX group(20 nmol/L DTX),BET group(200 mmol/L BET),and DTX+BET group(20 nmol/L DTX+200 mmol/L BET),flow cytometry was used to detect apoptosis rate and cell cycle,and Western blotting to detect the protein expression of apoptosis-related proteins(Bcl2,BAX,c-caspase-3).(4)Control group,BET group(200 mmol/L BET),wortmannin(WM)group(100 μmol/L WM),and BET+WM group(200 mmol/L BET+100 μmol/L WM).Western blotting was used to detect the protein expression of PI3K,Akt,and ABCB1.(5)Control group,BET group(200 mmol/L BET),and BAY group(10 μmol/L BAY),BAY+BET group(200 mmol/L BET+10 μmol/L BAY).Western blotting was used to detect the protein expression of NF-κB p65,p-ikBα and ABCB1.Network pharmacology combined with transcriptome sequencing was used to predict the possible pathways for BET to reverse chemotherapy resistance.Results Compared with C4-2B cells,TaxR cells showed significantly increased resistance to DTX(P<0.01),and high expression of ABCB1(P<0.01).After silencing ABCB1 with siRNA,TaxR cells'resistance to DTX was significantly inhibited(P<0.01).The inhibition rate of TaxR cells treated with 200 mmol/L BET was less than 20%,and it significantly decreased the expression of ABCB1 protein in TaxR cells(P<0.05).Compared with control group,the combination of 200 mmol/L BET and 20 nmol/L DTX resulted in higher apoptosis rate and higher S stage cell ratio,lower expression of Bcl-2 protein and higher expression of BAX and c-caspase-3 proteins than the two drugs used alone(P<0.05).Compared with control group,the combination of 200 mmol/L BET and 100 μmol/L WM significantly down-regulated the protein expression of PI3K,Akt and ABCB1(P<0.01).The combination of 200 mmol/L BET and 10 μmol/L BAY significantly down-regulated the protein expression of NF-κB p65,p-ikBα and ABCB1(P<0.01).Conclusion BET may reverse TaxR cells'chemotherapy resistance by down-regulating ABCB1 expression through the PI3K/Akt/NF-κB signaling pathway.

Objective To explore the effects of different glucose concentrations on the synthesis and secretion of bone collagen in osteoblasts and the impact of diabetes on bone quality in mice.Methods(1)Primary osteoblasts were extracted from the skulls of neonatal mice via collagenase digestion and cultured in four groups under different glucose concentrations:normal glucose(5.5 mmol/L),moderate glucose(11.5 mmol/L),moderate-high glucose(16.5 mmol/L),and high glucose(25 mmol/L).EdU staining was performed to evaluate cell proliferation,while the Transwell assay was used to assess cell migration.Immunofluorescence and Western blotting were performed to detect and quantitatively analyze the content of type Ⅰ collagen(Col-1).Alizarin red S(ARS)staining and alkaline phosphatase(ALP)staining were applied to assess the effects of different glucose concentrations on osteogenic differentiation.(2)Six-week-old male C57BL/6 mice were randomly divided into control group and model group(5 in each group).The model group was fed a high-fat diet for 4 weeks followed by streptozotocin(STZ)injection to establish a diabetic mouse model.The osteogenic differentiation capacity of primary osteoblasts from both groups was assessed.(3)Micro-computed tomography(Micro-CT)was employed to analyze femoral bone mineral density(BMD),bone volume/tissue volume(BV/TV),trabecular number(Tb.N),and trabecular separation(Tb.Sp).Three-point bending test was conducted to evaluate mechanical parameters including maximum load,Young's modulus,fracture energy,and stiffness.RT-qPCR was employed to assess the expression of osteogenic differentiation genes(Alp,Opn,Col1a1,and Lox).Masson staining and Mallory staining were used to evaluate Col-1 content in trabecular bone.Results(1)EdU and Transwell assay results demonstrated that with the gradual increase in glucose concentration,the proliferation and migration abilities of osteoblasts were significantly decreased(P<0.001),and the protein expression levels of Col-1 and lysyl oxidase(LOX)were significantly reduced(P<0.01 or P<0.001).ARS and ALP staining revealed that calcium salt deposition and ALP activity in osteoblasts were significantly decreased with increasing glucose concentration(P<0.05 or P<0.001).(2)Compared with control group,mice in model group exhibited typical"three polies and one weight loss"symptoms(polyuria,polydipsia,polyphagia,and weight loss)of diabetes,and ARS and ALP staining showed a significant reduction in osteoblasts(P<0.001).(3)Micro-CT and three-point bending test results indicated that,compared with control group,mice in model group showed microarchitectural deterioration of bone,decreased Tb.N,increased Tb.Sp,and significantly reduced maximum load,Young's modulus,fracture energy,and stiffness(P<0.05).RT-qPCR results showed that the relative mRNA expression levels of osteogenic differentiation genes(Alp,Opn,Col1a1,and Lox)were significantly decreased in model group compared with control group(P<0.01 or P<0.001).Masson and Mallory staining indicated a significant reduction in collagen content in model group compared with control group(P<0.01).Conclusions High-glucose environment inhibits osteoblast proliferation,differentiation,and migration.Diabetic mice exhibit reduced bone quality and increased bone fragility,potentially mediated by decreased lysyl oxidase and collagen levels.

Objective To investigate the epidemiological characteristics of knee osteoarthritis(KOA)among military personnel in plateau regions and to explore its risk factors.Methods From July 2023 to July 2024,a multi-stage stratified cluster random sampling method was employed to survey the prevalence of KOA and related risk factors among military personnel in the northwest plateau regions of China,covering different altitudes(1500-4500 m)and geographical areas(Gansu,Qinghai,Tibet,and Xinjiang).All study subjects were divided into KOA and non-KOA groups based on the presence or absence of KOA.Variables including age,gender,body mass index(BMI),education level,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury were selected for univariate analyses between groups.Variables with P<0.05 in the univariate analyses were included in the binary multifactor logistic regression to identify risk factors for KOA.Results A total of 3000 questionnaires were distributed,and 2854 valid questionnaires were collected,with a response rate of 95.13%.The sample included 2584 males and 270 females,with 510 cases of KOA,resulting in a prevalence rate of 17.9%.Univariate analysis showed that there were statistically significant differences between KOA and non-KOA groups in terms of age,BMI,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury(P<0.05).However,no significant differences were found in gender and education level(P>0.05).Binary multivariate logistic regression analysis revealed that older age(OR=1.382,P=0.017),higher BMI(P<0.01),smoking(OR=1.929,P<0.01),higher military rank(OR=1.485,P=0.007),being a member of the Armed Police(P<0.01),longer service duration(P<0.01),higher regional altitude(OR=1.459,P<0.01),lower annual average temperature(OR=1.188,P=0.001),longer training duration(P<0.01),higher perceived training intensity(OR=2.450,P<0.01),and history of knee injury(OR=2.768,P=0.002)were independent risk factors for KOA.Conclusions Older age,overweight/obesity,smoking,higher military rank,being a member of the Armed Police,longer service duration,higher altitude,cold climate,longer training duration,higher training intensity,and history of knee injury are independent risk factors for KOA among military personnel in the northwest plateau regions of China.

As a life support system of maintaining life and health of patients,the quality and safety of medical gas system are crucial link that cannot be overlooked in medical safety.This article studied and arranged the test methods of main test parameters of medical gas system through took part in testing and acceptance work of supplying oxygen system and attracting system of medical center,and medical air system in many years.This article covered many key aspects such as gas source,pressure,flow rate,pipeline cleanliness,gas specificity,alarm device,pipeline airtightness,and grounding resistance.For each test item,the article systematically expounded corresponding test items and methods,which aimed at providing scientific basis and technical support for ensuring the safe and stable operation of medical gas systems,and reducing the operational risks of this systems,and helping to improve medical quality and the level of safety assurance for patients.At the same time,it can provide scientific test methods for test institutions,and ensure accuracy and effectiveness of test data when standardized testing work.

Objective:To establish a three-dimensional culture and stress-loaded model of human periodontal ligament cells(hP-DLCs)in vitro and to determine the effect of static pressure on autophagy.Methods:Periodontal tissue was scraped from fresh ex-tracted tooth surfaces for culture and hPDLCs were obtained.Type Ⅰ rat tail collagen was extracted to prepare collagen-sodium algi-nate composite hydrogel,in which third-generation hPDLCs were embedded.After 72 h of culture,gene expression of autophagy-related proteins LC3,Atg-5 and Beclin-1 was detected by quantitative real-time polymerase chain reaction(qRT-PCR),and the expression of Atg-5,Beclin-1 and LC3 was detected by Western blotting.Results:Cells grew well in collagen-alginate hydrogels.After 15 min of compressive stress loading,the level of autophagy of hPDLCs increased significantly and then gradually decreased to the baseline level.Conclusion:Collagen-alginate hydrogel has good biocompatibility and safety,and can be used as an excellent scaffold for three-dimensional cell culture in vitro.Static compressive stress can accelevate autophagy,and this acceleration is rapid and short-lived.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment