ObjectiveTo explore the effects of different concentrations of oleic acid on human osteosarcoma cell lines 143B and HOS， as well as the impacts of the optimal concentration of oleic acid on cellular lipid droplet synthesis and cell functions. MethodsThe 143B and HOS cells were treated with varying concentrations of oleic acid （0， 25， 50， 100， and 200 µmol/L） for 48 hours. Following treatment， oil red O staining and BODIPY staining were performed to determine the optimal concentration. Subsequently， CCK-8 assays and colony formation experiments were conducted to assess the effect of this optimal concentration of oleic acid on the cell proliferation of both cell lines. Transwell migration assays were utilized to evaluate the influence of the optimal concentration on migratory capacity and Transwell invasion assays were utilized to evaluate the invasive ability. Additionally， Western blot analysis was employed to examine the expression levels of epithelial-mesenchymal transition （EMT） markers Epithelial cadherin （E-cadherin） and Neural cadherin （N-cadherin） in response to treatment with the optimal concentration of oleic acid. ResultsTreatment with oleic acid did not induce significant cell death in either 143B or HOS cells； however， an increase in intracellular lipid droplets was observed alongside enhanced proliferation， migration， invasion capabilities as well as EMT transformation potential （P<0.05）. ConclusionOleic acid induces lipid droplet synthesis in osteosarcoma cells which subsequently promotes their proliferation， migration and invasion abilities along with EMT transformation.

OBJECTIVE To prepare an intelligent responsive liposome-hydrogel nanopreparation co-loaded with gambogic acid （GA）， and characterize its antitumor activity in vitro . METHODS GA-ICG-Lip-gel was prepared by ethanol injection and cold dissolution， incorporating GA and the photosensitizer indocyanine green （ICG）. The appearance and microscopic morphology of GA-ICG-Lip-gel were observed， its encapsulation efficiency and drug loading capacity were measured， and its photothermal conversion performance， photothermal stability， and infrared imaging properties were investigated， along with the determination of its in vitro release profile. Human breast cancer MCF-7 cells were used as objects to investigate the effects of GA-ICG-Lip-gel （or with near-infrared light irradiation） on cell viability， migration ability， and the cellular uptake capacity of GA-ICG-Lip-gel. RESULTS GA-ICG-Lip-gel existed in a solution state at room temperature and transformed into a gel state at 37 ℃. Its microstructure was dense with small pores， and its encapsulation efficiency and drug loading were （96.07±0.86） % and （6.28±1.16） %， respectively. After exposure to near-infrared light， the temperature of GA-ICG-Lip-gel rose above 42 ℃， with no significant attenuation observed in the heating curve. The heating efficiency was dependent on both the irradiation time and drug concentration. Compared to media without gelatinase， the cumulative release rate of GA-ICG-Lip-gel increased in media containing gelatinase. In vitro studies showed that GA-ICG-Lip-gel could be efficiently taken up by MCF-7 cells； GA-ICG-Lip-gel significantly inhibited the viability and migration ability of MCF-7 cells （ P ＜0.05）， and this inhibitory effect was further enhanced under near-infrared light irradiation. CONCLUSIONS This study successfully prepares GA-ICG-Lip-gel， which exhibits favorable photothermal conversion properties and temperature/enzyme dual-responsive drug release characteristics， and demonstrates significant inhibitory effects on the proliferation and migration of breast cancer cells.

Objective To analyze the characteristics of real-world adverse drug events(ADEs)of trabectedin based on the FDA Adverse Event Reporting System(FAERS)database in order to provide references for clinical drug safety management.Methods A total of 1 349 trabectedin-related reports were extracted from the FAERS database from Q1 2007 to Q4 2024.Using the MedDRA coding classification system for system organ class(SOC)and preferred term(PT),signal detection was performed through 4 proportional imbalance methods,including reporting odds ratio(ROR)and proportional reporting ratio(PRR).Subgroup analyses by gender,age,and temporal trends were also conducted.Results Hematological and lymphatic system disorders and hepatobiliary system disorders were the primary SOCs involved.High-frequency PTs included neutropenia(123 cases)and anemia(117 cases).Eight potential ADEs that have not been listed in the drug product instruction were identified.The median onset time of ADEs was 21 d,showing an early failure pattern,with differences observed by gender(females more prone to hematological toxicity)and age(elderly more susceptible to febrile neutropenia).Conclusion Trabectedin requires close attention to hematological toxicity,hepatotoxicity,and newly identified multi-system potential risks.Clinically,monitoring should be strengthened based on time windows and population characteristics to optimize drug regimens.Countermeasure It is recommended to strengthen the full cycle monitoring of anti-tumor drugs,standardize the reporting of adverse reactions,and establish a multi-departmental collaborative research platform.

Background and Aims:Poorly differentiated thyroid carcinoma(PDTC)is a relatively rare but highly aggressive type of thyroid malignancy.Its biological behavior lies between differentiated and undifferentiated thyroid carcinoma,and it is often characterized by early metastasis,high recurrence rates,and poor survival outcomes.At present,prognostic assessment for PDTC patients primarily relies on traditional indicators such as TNM staging,and there remains a lack of systematic,multi-factorial,and individualized predictive tools.As a visual and quantitative method,the nomogram model has been widely applied in the prognostic evaluation of various tumors;however,its use in PDTC remains limited.This study aims to identify key risk factors associated with poor prognosis in PDTC patients and to construct a risk prediction nomogram model based on multivariate analysis,in order to provide clinical support for individualized postoperative prognostic assessment.Methods:A total of 55 PDTC patients who underwent surgical treatment at our hospital from January 2015 to December 2020 were retrospectively enrolled and followed up for three years.Based on tumor recurrence,metastasis,and mortality during the follow-up period,patients were divided into a good prognosis group and a poor prognosis group.Univariate analysis was performed to screen for clinical features associated with prognosis,followed by multivariate logistic regression to identify independent risk factors.A nomogram risk prediction model was constructed using R software(version 3.5.3),and its predictive performance and calibration were evaluated by receiver operating characteristic(ROC)curve and Bootstrap validation.Results:During the 3-year follow-up,15 patients experienced tumor progression and 1 patient died,resulting in a poor prognosis rate of 29.1%.Univariate analysis showed statistically significant differences in tumor diameter,TNM stage,local invasion,surgical approach,vascular invasion,and nerve involvement between the two groups(all P<0.05).Multivariate logistic regression identified tumor diameter≥3 cm,advanced TNM stage,local invasion,subtotal thyroidectomy,vascular invasion,and nerve involvement as independent risk factors for poor prognosis(all P<0.05).The nomogram model constructed based on these variables demonstrated a C-index of 0.794(95%CI=0.725-0.846),an AUC of 0.817,sensitivity of 82.26%,and specificity of 86.35%,indicating good discriminatory ability and predictive accuracy.Conclusion:Tumor diameter,TNM stage,local invasion,surgical approach,vascular invasion,and nerve involvement are important factors influencing postoperative prognosis in PDTC patients.The nomogram model based on these variables exhibits strong predictive performance and may serve as a valuable tool for individualized risk assessment and therapeutic decision-making in clinical practice.

Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.

Objective To investigate the therapeutic effects and underlying mechanisms of rutaecarpine on Helicobacter pylori(Hp)-induced chronic atrophic gastritis(CAG).Methods An Hp-induced CAG rat model was established.Successfully modeled rats were randomly divided into model group,low-dose rutaecarpine group,medium-dose rutaecarpine group,and high-dose rutaecarpine group,with 12 rats in each group.An additional 12 rats served as the normal control group.Body mass changes were recorded before and after treatment.Gastric mucosal histopathology was analyzed using hematoxylin-eosin(HE)staining.Levels of inflammatory cytokines(TNF-α,IL-6,IL-10)in gastric mucosal supernatants were measured by enzyme-linked immunosorbent assay(ELISA).mRNA expression levels of inducible nitric oxide synthase(iNOS),cluster of differentiation 86(CD86),arginase 1(Arg-1),and mannose receptor(CD206)in gastric mucosal tissues were detected by real-time quantitative polymerase chain reaction(RT-qPCR).Protein expression levels of nuclear factor κB(NF-κB)pathway-related proteins were determined by Western Blot.Results Compared with the normal group,the model group exhibited disorganized gastric mucosal epithelium,reduced glandular structures in the lamina propria,significant inflammatory cell infiltration,and elevated gastric mucosal histopathology scores.TNF-α,IL-6,and IL-10 levels in gastric mucosal supernatants,iNOS and CD86 mRNA expression,and phosphorylated NF-κB inhibitor α(p-IκBα)and phosphorylated NF-κB p65 subunit(p-p65)protein levels were significantly increased,while Arg-1 and CD206 mRNA expression were significantly decreased,the difference being statistically significant(P＜0.05).Compared with the model group,medium-and high-dose rutaecarpine treatment reduced inflammatory cell infiltration,restored cellular arrangement,increased glandular structures in the lamina propria,and significantly lowered gastric mucosal histopathology scores,TNF-α,IL-6,and IL-10 levels,iNOS and CD86 mRNA expression,and p-p65 and p-IκBα protein expression were significantly reduced,whereas Arg-1 and CD206 mRNA expression were significantly increased,the difference being statistically significant(P＜0.05),with dose-dependent effects.Conclusion Rutaecarpine ameliorates Hp-induced CAG by modulating macrophage polarization and attenuating inflammatory responses,likely through downregulation of p-p65 and p-IκBα expression and subsequent inhibition of NF-κB pathway activation.

Objective:To investigate protective effect and mechanism of Tim-3 on sepsis-induced acute lung injury(ALI)by pro-moting mitophagy of alveolar macrophages and inhibiting activation of NLRP3 inflammasome.Methods:LPS-stimulated mouse alveo-lar macrophage(MH-S)model and sepsis-induced ALI mouse model were constructed.Tim-3 siRNA interference technique was used to knock down Tim-3 expression in MH-S cells,and anti-Tim-3 antibody mice were injected intraperitoneally to block Tim-3 function.Western blot was used to detect protein expressions of NLRP3,ASC,cleaved-caspase-1 and mitophagy-related proteins(LC3B,P62,PINK1 and Parkin)in MH-S cells and lung tissue of mice with sepsis-induced ALI.Laser confocal fluorescence staining was used to measure ROS level and mitochondrial membrane potential of MH-S cells.Pathological examination of lung tissue was performed in mice with sepsis-induced ALI in each group,and degree of lung tissue injury was evaluated by Smith scoring system.Bronchoalveolar lavage fluid(BALF)and lung tissue were collected from mice with ALI induced by sepsis in each group.BCA protein quantification method was used to determine protein concentration in BALF.MPO activity in lung tissue was detected by colorimetry.MDA content in lung tissue was detected by TBA method.LC3B protein expression in lung tissue was detected by immunohistochemistry.Results:In mouse alveolar macrophages,Tim-3 knockdown could promote expressions of NLRP3,ASC,cleaved-caspase-1 and P62 proteins,increase ROS release,inhibit PINK1/Parkin pathway activation and LC3B protein expression,and reduce mitochondrial membrane potential.In mice with sepsis-induced ALI,Tim-3 functional blockade could promote expressions of NLRP3,ASC,cleaved-caspase-1 and P62 proteins in lung tissue,aggravate lung pathological injury and pulmonary edema,increase MPO activity and MDA content in lung tissue,and reduce positive rate of LC3B protein.Conclusion:Tim-3 plays a protective role in sepsis-induced ALI by promoting mitophagy in alveolar macrophages and inhibiting NLRP3 inflammasome activation via PINK1/Parkin.

Objective:To explore the spatial correlation between gray matter volume (GMV) changes and neurotransmitter receptors/transporters in patients with first-episode schizophrenia (FES) .Methods:Fifty-four FES patients(FES group) and fifty-nine healthy controls (HC group) were selected from June 2014 to May 2020 in the Psychiatry Department of Renmin Hospital of Wuhan University. Structural magnetic resonance imaging (sMRI) was conducted on all subjects. Differences of GMV were compared across 400 cortical regions and 32 subcortical regions. Based on the positron emission tomography(PET) data from Neuromaps, which provides the density of 19 different neurotransmitter receptors and transporters, Spearman correlation analysis was performed to evaluate the spatial correlation between GMV changes and neurotransmitter systems.Results:Compared to the HC group, FES group exhibited significant GMV reductions in widespread cortical (90/400) and subcortical (6/32) regions (all FDR-corrected P<0.05). The effect size of GMV reduction (Cohen’s d) showed significant positive correlations with the density of 5-hydroxytryptamine 1a(5HT1a) ( r=0.400, Pspin=0.002), γ-aminobutyric acid type A receptor(GABA A)( r=0.307, Pspin=0.002), and metabotropic glutamate receptor 5(mGluR5) ( r=0.275, Pspin=0.020) receptors (all FDR-corrected P<0.05). Conclusion:GMV reductions in a wide range of brain regions existed in patients with FES. There are significant correlations between 5HT1a, GABA A and mGluR5 receptors and gray matter reduction in patients with FES. The disorder of these neurotransmitter receptors may be the potential neurobiological mechanism of gray matter structural abnormalities in the early stage of schizophrenia.

Objective To explore the efficacy,safety and clinical application value of CT-guided percutaneous needle biopsy(PTNB)of extrapulmonary metastases in the diagnosis of lung cancer.Methods The clinical and imaging data of 62 patients with extrapulmonary metastases of lung cancer underwent CT-guided PTNB were analyzed retrospectively.The safety,success rate,accuracy and clinical value of PTNB of extrapulmonary metastases were summarized.Results Puncture biopsy was successfully completed in all 62 cases(62/62,100％).The accuracy was 91.9％(57/62),and none occurred serious complications.Conclusion The CT-guided PTNB of extrapulmonary metastases is safe,effective and reliable.It is an effective supplement for lung biopsy and is worthy of clinical application and promotion.

Objective:To analyze the mediating effect of cardiovascular health status (CVH) on the association between educational level and cardiovascular disease (CVD).Methods:The participants were from Shanghai Suburban Adult Cohort and Biobank, and questionnaire survey, physical examination, blood biochemistry were conducted from 2016 to 2020 for baseline information collection, and follow up was conducted until March 31, 2024 based on the medical data, CVD incidence data and death surveillance data at different levels. The associations of educational level, CVH and time to CVD onset of the study population were analyzed using the accelerated failure time model to analyze the mediating effects of CVH, health behaviors, and health factors in the association of educational level and time to CVD onset. The mediating effects of educational level, gender, and age moderated associations were also analyzed.Results:A total of 57 312 participants were included, with 2 780 new cases of CVD during a median follow-up of 6.71 (6.71-6.72) years, and a mean incidence density of 7.77/1 000 person-years (95% CI: 7.48/1 000 person-years -8.06/1 000 person-years). In total, the less educational level and the lower CVH, the higher CVD incidence density ( P<0.05). The results of accelerated failure time models showed that the time ratio for CVD-free survival was 1.15 (95% CI: 1.06-1.24) and 1.33 (95% CI: 1.10-1.60) for moderate and high educational level, respectively. The results of the mediation effect analysis showed that the association between moderate and high educational level and time to CVD onset was 29.60% (20.50%-50.00%) and 36.10% (23.80%-59.00%), 9.97% (5.07%-20.00%) and 13.84% (6.84%-29.00%), 15.24% (9.64%-27.00%) and 17.55% (11.58%-33.00%) of mediators mediated by CVH, health behaviors, health factors, respectively. Among them, there was an exposure-mediated interaction of educational level and a positive moderating effect of age. Conclusion:CVH, health behaviors and health factors had a proportionate mediating effect in the association between educational level and risk of CVD development.