OBJECTIVE To compare the antihypertensive efficacy of sacubitril/valsartan versus benazepril in patients with perimenopausal hypertension， as well as their impacts on ventricular remodeling and inflammatory fibrosis. METHODS A total of 206 perimenopausal hypertensive patients in our hospital from January 1， 2023 to December 30， 2024 were retrospectively included.These patients were enrolled and divided into benazepril group （105 cases） and sacubitril/valsartan group （101 cases）. Benazepril group received Benazepril hydrochloride tablet， and sacubitril/valsartan group received Sacubitril valsartan sodium tablet. All patients were treated for 6 months. The blood pressure（systolic blood pressure and diastolic blood pressure） and blood pressure control status before and after treatment， echocardiographic indicators （left ventricular ejection fraction， left ventricular mass index， relative wall thickness， and early-diastolic peak transmitral flow velocity/early-diastolic peak velocity of the mitral annulus）， inflammatory fibrosis related indicators（high-sensitivity C-reactive protein，ratio of monocytes to lymphocytes，and ratio of neutrophils to lymphocytes）， as well as the occurrence of adverse reactions（hypotension，hyperkalemia，and angioedema） were observed in both groups before and after treatment. RESULTS The blood pressure control rate was significantly higher in the sacubitril/valsartan group than in benazepril group （ P ＜0.05）. After treatment， the blood pressure， echocardiographic indicators（except for left ventricular ejection fraction） ，and inflammatory fibrosis related indicators were significantly lower than those before treatment within the same group， and the sacubitril/valsartan group were significantly lower than the benazepril group （ P ＜0.05）. There were no statistically significant differences in the incidence of hypotension， hyperkalemia， angioedema， and overall adverse drug reactions between the two groups （ P ＞0.05）. CONCLUSIONS Compared with benazepril， sacubitril/valsartan provides superior blood-pressure control， reverses ventricular remodeling， attenuates inflammatory fibrosis in perimenopausal hypertensive patients， while maintaining a similar safety profile.

Objective:To explore the mediating effect of illness acceptance between self-compassion and rehabilitation motivation in stroke patients with partial disability.Methods:By convenience sampling method, stroke patients who attended the neurology outpatient clinic of Xinxiang Central Hospital from February to December 2024 were selected as the research subjects. The General Information Questionnaire, Self-Compassion Scale (SCS), Chinese version of Acceptance of Illness Scale (AIS-CHI), and Stroke Rehabilitation Motivation Scale (SRMS) were used for the survey. Pearson correlation analysis was applied to analyze the relationships among self-compassion, illness acceptance, and rehabilitation motivation. AMOS 21.0 software was used to establish a structural equation model and verify the mediating effect.Results:A total of 300 questionnaires were distributed, and 289 valid ones were recovered, with an effective recovery rate of 96.33%. Among the 289 stroke patients with partial disability, the total score of SCS was (65.73±5.50), the total score of AIS-CHI was (17.46±5.62), and the total score of SRMS was (77.18±10.97). Pairwise positive correlations were found between self-compassion, illness acceptance, and rehabilitation motivation (all P<0.05). Self-compassion had a direct positive effect on rehabilitation motivation ( β=0.328, P<0.01) and a direct positive effect on illness acceptance ( β=0.439, P<0.01). Illness acceptance played a partial mediating role between self-compassion and rehabilitation motivation, and the mediating effect accounted for 31.38% of the total effect (0.150/0.478) . Conclusions:The levels of self-compassion, illness acceptance, and rehabilitation motivation in stroke patients with partial disability need to be further improved. Illness acceptance exerts a partial mediating effect between self-compassion and rehabilitation motivation. Clinically, the rehabilitation motivation of patients can be enhanced by improving their levels of self-compassion and illness acceptance.

Objective To explore the protective effects of pretreatment with the Mongolian medicine Jiruhen Gurigumu-7(JG-7)and Guangzao Sanwei Tang(GZ-3)on myocardial ischemia-reperfusion injury(MIRI)in mice.Methods 60 male C57BL/6J mice were randomly divided into sham operation(Sham)group,model(Model)group,compound danshen drip pill(CDDP)positive control group,JG-7 group,GZ-3 group,and 12 mice in each group to establish the MIRI model,and the H9C2 cells were randomly divided into Control(normoxic)group,H/R(hypoxia 6 h reoxygenation 14 h)group,H/R+JG-7 group,H/R+GZ-3 group.The mice in each group were tested for cardiac function indexes after 30 min of ischemia,24 h and 7 d of reperfusion,TTC staining to detect infarct area after 24 h of MIRI,HE staining to detect myocardial tissue structure and cellular morphology after 24 h of MIRI,TUNEL apoptosis kit to detect apoptosis of myocardial cells after 24 h of MIRI,Masson staining to detect myocardial fibrosis after 7 d of MIRI.Blood was taken from the abdominal aorta,serum was separated,and the indexes after oxidative stress of MIRI were detected in each group of mice,and the survival rate of H9C2 cells after H/R was detected in each group by CCK-8 method.Results The results of TTC showed that JG-7 and GZ-3 reduced the infarct area after 24 h of MIRI in mice.ELISA and kit assays proved that JG-7 and GZ-3 reduced creatine phosphokinase isoenzyme(Creatinekinase-MB,CK-MB),Lactic dehydrogenase(LDH),malondialdehyde(MDA)levels,and increased superoxide dismutase(SOD)levels.HE staining showed that JG-7 and GZ-3 improved myocardial pathology after MIRI 24 h.The results of TUNEL apoptosis assay showed that JG-7 and GZ-3 improved apoptosis in myocardial tissues 24 h after MIRI.Masson staining results showed that JG-7 and GZ-3 could reduce the area of myocardial tissue fibrosis after MIRI 7 d.CCK-8 assay results showed that JG-7 and GZ-3 could improve the cell survival rate after H/R in H9C2 cells.Conclusion Pre-treatment with Mongolian medicine Jiruhen Gurigumu-7 and Guangzao Sanwei Tang can reduce the damage caused after ischemia-reperfusion(I/R),decrease the area of myocardial infarction and fibrosis after I/R in mice,and protect the heart.

Objective:To investigate the value of a deep learning radiomics (DLR) nomogram model based on intra-tumoral and peri-tumoral MRI features for differentiating IgG4-related ophthalmic disease (IgG4-ROD) from orbital mucosa-associated lymphoid tissue (MALT) lymphoma.Methods:This was a case-control study. The clinical and imaging data of 233 patients pathologically confirmed with either IgG4-ROD or orbital MALT lymphoma were retrospective collected between January 2020 and December 2024 from the Second Hospital of Jilin University (Center 1) and Beijing Tongren Hospital, Capital Medical University (Center 2). Patients from Center 1 ( n=158) were used as the training cohort, while those from Center 2 ( n=75) served as the validation cohort. Among the cases, 102 were IgG4-ROD (70 in training, 32 in validation) and 131 were orbital MALT lymphoma (88 in training, 43 in validation). Univariate and multivariate logistic regression analyses were used to identify independent clinical imaging predictors and build a clinical imaging model. Based on T 1WI, T 2WI, and diffusion weighted images, intra-tumoral regions were manually delineated, a 2 mm peri-tumoral margin was automatically generated, and both regions were combined as a single region of interest for radiomics feature extraction. Deep learning features were extracted using a ResNet-50 backbone, and after feature selection and dimensionality reduction, a DLR model was constructed. The clinical imaging features and DLR features were integrated to build a combined nomogram model. Model performance in differentiating IgG4-ROD from orbital MALT lymphoma was assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis. The area under the curve (AUC) were compared using the DeLong test. Results:Bilateral orbital involvement ( OR=1.983, 95% CI 1.166-2.843, P=0.046) and extraocular muscle involvement ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as independent predictors for distinguishing IgG4-ROD from orbital MALT lymphoma and were used to construct the clinical model. Fourteen features (9 radiomics and 5 deep learning features) were selected for the DLR model, and a nomogram was developed. In the training set, the AUCs for the clinical model, DLR model, and nomogram were 0.762 (95% CI 0.712-0.812), 0.865 (95% CI 0.822-0.908), and 0.943 (95% CI 0.909-0.953), respectively. In the validation set, the AUCs were 0.733 (95% CI 0.675-0.791), 0.823 (95% CI 0.762-0.884), and 0.924 (95% CI 0.902-0.958), respectively. The nomogram showed significantly higher AUCs than those of the clinical and DLR models alone (training set: Z=3.92, 2.87, P0.001, P=0.004; validation set: Z=3.25, 2.46, P=0.001, 0.014). Calibration curves indicated good agreement between predicted and actual IgG4-ROD incidence, and decision curve analysis demonstrated the highest net benefit for the nomogram. Conclusion:A nomogram that incorporates both intra-tumoral and peri-tumoral DLR features and clinical imaging characteristics demonstrates excellent performance in distinguishing IgG4-ROD from orbital MALT lymphoma.

Objective:To evaluate cerebrospinal fluid (CSF) flow dynamics and volume changes of pulsatile tinnitus (PT) patients induced by sigmoid sinus wall dehiscence (SSWD) using MRI.Methods:This was a cross-sectional study. Totally 55 SSWD-PT patients, and 35 age- and sex-matched healthy controls were prospectively enrolled at Beijing Tongren Hospital, Capital Medical University from October 2019 to September 2023. The CSF at the midbrain aqueduct level was analyzed based on phase-contrast MRI to obtain the flow dynamics information. Based on T 1-weighted turbo field echo sequence, the CSF was segmented and the volume of CSF was calculated using ITK-SNAP software. The Mann-Whitney U test was used to compare the differences of each parameter between the two groups. Binary logistic regression was used to analyze the parameters with statistically significant differences to obtain the independent influencing factors of SSWD-PT and establish the combined parameters. Receiver operating characteristic curve analysis was used to evaluate the efficacy of diagnosing SSWD-PT. Results:Compared with controls, the SSWD-PT group showed significantly decreased mean flux (MF), mean velocity, peak velocity( P<0.05), and significantly increased regurgitant fraction (RF), CSF volume ( P<0.05). No significant differences were observed in forward flow volume, backward flow volume, and stroke volume ( P>0.05). The logistic regression results showed that MF ( OR=0.497, 95% CI 0.305-0.808, P=0.005) and RF ( OR=1.809, 95% CI 1.040-3.147, P=0.036) were independent influencing factors of SSWD-PT. The area under the curve (AUC) of MF and RF for diagnosing SSWD-PT were 0.641 (95% CI 0.517-0.766) and 0.675 (95% CI 0.564-0.786), respectively. The AUC of the combination of MF and RF was 0.724 (95% CI 0.614-0.833). Conclusions:SSWD-PT patients have abnormal changes in CSF flow dynamics and volume. The MF and RF demonstrate moderate diagnostic value for diagnosing SSWD-PT.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.

Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Pharmacological inhibitors targeting CDK4/6 have demonstrated promising efficacy across various cancer types. However, their clinical benefits in ovarian cancer patients fall short of expectations, with only a subset of patients experiencing these advantageous effects. This study aims to provide further clinical and biological evidence for antineoplastic effects of a CDK4/6 inhibitor (TQB4616) in ovarian cancer and explore underlying mechanisms involved. Patient-derived ovarian cancer organoid models were established to evaluate the effectiveness of TQB3616. Potential key genes related to TQB3616 sensitivity were identified through RNA-seq analysis, and TRIM4 was selected as a candidate gene for further investigation. Subsequently, co-immunoprecipitation and GST pull-down assays confirmed that TRIM4 binds to hnRNPDL and promotes its ubiquitination through RING and B-box domains. RIP assay demonstrated that hnRNPDL binded to CDKN2C isoform 2 and suppressed its expression by alternative splicing. Finally, in vivo studies confirmed that the addition of siTRIM4 significantly improved the effectiveness of TQB3616. Overall, our findings suggest that TRIM4 modulates ubiquitin-mediated degradation of hnRNPDL and weakens sensitivity to CDK4/6 inhibitors in ovarian cancer treatment. TRIM4 may serve as a valuable biomarker for predicting sensitivity to CDK4/6 inhibitors in ovarian cancer.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Animals ; Tripartite Motif Proteins/genetics* ; Mice ; Cyclin-Dependent Kinase 4/antagonists & inhibitors* ; Cell Line, Tumor ; Cyclin-Dependent Kinase 6/antagonists & inhibitors* ; Protein Kinase Inhibitors/pharmacology* ; Ubiquitin/metabolism* ; Xenograft Model Antitumor Assays ; Ubiquitination ; Antineoplastic Agents/pharmacology*