Objective:To investigate the effect of ERMAP on imiquimod(IMQ)-induced psoriasis-like skin inflammation in mice and its related mechanism.Methods:The experimental mice were divided into 3 groups:Sham group,WT group and ERMAP-/-group,with 9 mice in each group.The Sham group was smeared with Vaseline,and the WT group and ERMAP-/-group were smeared with IMQ to induce psoriatic dermatitis.The severity of IMQ-induced psoriasis lesions in mice were evaluated according to the psoria-sis area and severity index(PASI)and the HE staining pathology score.The expressions of F4/80 and Ki67 in mouse skin lesions were observed by immunofluorescence staining.The relative expressions of IL-1β,IL-6,IFN-γ and iNOS in skin lesions were detected by qRT-PCR.Flow cytometry was used to detect the proliferation and activation of T cells and the proportion of macrophages in spleen.Results:In the IMQ-induced mouse model of psoriasis-like dermatitis,the skin lesions of ERMAP gene knock out mice showed more severe squamous accumulation and skin bulge,more inflammatory cells aggregation and cytokine production,and the proportion of immune cells in the spleen of mice increased compared with the WT group,and the proportion of M1 macrophages increased.Conclu-sion:ERMAP deficiency aggravates IMQ-induced psoriasis-like skin inflammation in mice by enhancing immune response.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

Objective:This study aims to explore the independent and interactive effects of childhood trauma (CT) and major depressive disorder (MDD) on amygdala subregion volumes and to examine whether volumetric changes in these subregions mediate the relationship between CT and depressive severity.Methods:A total of 129 MDD patients and 127 age- and sex-matched healthy controls were recruited from Nanjing Brain Hospital between October 2022 and November 2024. All participants underwent 3D-T 1 weighted MRI scans,and amygdala subregions were segmented using the FreeSurfer software. Depressive and anxiety symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HAMD 17) and the Hamilton Anxiety Scale (HAMA),respectively. Childhood trauma exposure was evaluated via the Childhood Trauma Questionnaire (CTQ). Generalized linear models (GLM) were applied to analyze the main and interactive effects of MDD diagnosis (depression/healthy controls) and CT (presence/absence),adjusting for age,estimated intracranial volume,sex,medication history,and education years. Partial correlation and mediation analyses were conducted to explore associations between amygdala subregion volumes and clinical measures in MDD patients. Results:MDD diagnosis was independently associated with increased volumes in the right central nucleus ( Wald χ2=9.09, P=0.026) and medial nucleus ( Wald χ2=10.08, P=0.026). CT exposure was independently associated with reduced volumes in the right central nucleus ( Wald χ2=7.99, P=0.047) and medial nucleus ( Wald χ2=9.20, P=0.047). No significant interaction effects between MDD and CT were observed in any amygdala subregion. Mediation analysis revealed that reduced right medial nucleus volume partially mediated the relationship between total CTQ scores and depressive severity (proportion mediated: 26.69%,95% CI=0.002-0.060) and mediated the association between emotional neglect and depressive severity (proportion mediated: 26.75%,95% CI=0.006-0.150). Such mediating effects were not found for the right central nucleus. Conclusion:CT and MDD exhibit divergent patterns of influence on amygdala subregions. CT is linked to volumetric reductions,whereas MDD is associated with volumetric enlargement. Reduced volume of the right medial nucleus mediates the relationship between CT and depression severity.

Objective:To explore the changes of brain excitation/inhibition balance and gray matter volume (GMV) and their correlations with clinical features in benign childhood epilepsy with centrotemporal spikes (BECTS).Methods:A cross-sectional study was performed; 83 BECTS children enrolled from Department of Diagnostic Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2015 to January 2024 were selected as BECTS group. During the same period, 101 age- and gender-matched healthy children were recruited as healthy control group through advertisements in local primary schools. Data of conventional MRI and resting-state functional MRI (rs-fMRI) of the two groups were collected. Whole brain GMV was analyzed by voxel-based morphometry (VBM), and Hurst index was calculated based on time series data of blood oxygen level dependent (BOLD) signal of rs-fMRI. Correlations of GMV and Hurst index with disease duration and onset age in children with BECTS were explored by Pearson correlation analysis.Results:Compared with the healthy control group, the BECTS group had significantly increased GMV and decreased Hurst index in the bilateral Rolandic region ( P<0.05). Pearson correlation analysis showed that in the BECTS group, GMV in bilateral Rolandic region was negatively correlated with onset age ( r=-0.267, P=0.015) and positively correlated with disease course ( r=0.267, P=0.015); Hurst index in bilateral Rolandic region was positively correlated with onset age ( r=0.323, P=0.003) and negatively correlated with disease course ( r=-0.240, P=0.029); Hurst index was negatively correlated with GMV in bilateral Rolandic region ( r=-0.328, P=0.003). Conclusion:BECTS children have excitation/inhibition imbalance in epilepsy-related regions and cortical structural delay, and both of them are related to onset age and disease course.

OBJECTIVE To investigate the impact of perilla alcohol on pulmonary vascular remod-eling in hypoxia-induced pulmonary hypertension(HPH)rats and to assess its regulatory effects on the angiotensin-converting enzyme 2(ACE2)-angiotensin(1-7)[Ang(1-7)]-mas proto-oncogene receptor(Mas)and ACE-angiotensinⅡ(AngⅡ)-angiotensin type 1 receptor(AT1R)axes.METHODS An HPH rat model was established by keeping them in a hypobaric chamber that simulated an altitude of 5 000 m for 28 d.Male SD rats were randomly divided into the control group,hypoxia group,hypoxia+sildenafil group(ig administration of 30 mg·kg-1),and hypoxia+perillyl alcohol groups(ig administration of 25,50 and 100 mg·kg-1 respectively).After 28 d,the levels of glutamic-oxaloacetic transaminase(GOT),glutamic-pyruvic transaminase(GPT),and blood urea nitrogen(BUN)in rat serum were measured to evaluate the toxic effects of perillyl alcohol on rat organs.Mean pulmonary artery pressure(mPAP)was measured via right ventricular catheterization.HE staining was used to observe the patho morphological changes of pulmonary vessels in HPH rats and measure the percentages of the vascularwall area[WA(%)],wall thickness[WT(%)],lumen area[LA(%)].The right ventricular hypertrophy level and α-smooth muscle actin(α-SMA)expression level were detected by immunohistochemistry and immunofluorescence.Western blotting was used to detect the protein expression levels of α-SMA,ACE,AT1R,AngⅡ,ACE2 and Mas in lung tissues of rats.Enzyme-linked immunosorbent assay(ELISA)was employed to mea-sure the content of Ang(1-7)in lung tissues.RESULTS Compared with the control group,the serum levels of GOT,GPT and BUN in the hypoxia group rats were significantly increased,but were signifi-cantly decreased by perillyl alcohol and sildenafil intervention.Compared with the control group,mPAP,WA(%),WT(%),right ventricular inner diameter(RVID),right ventricular free wall thickness(RVFWT)and fibrosis levels were significantly increased in the hypoxia group,while LA(%)was signifi-cantly decreased.Besides,the protein expression levels of α-SMA,ACE,AT1R and AngⅡ in lung tissues were significantly elevated while those of ACE2 and Mas,as well as Ang(1-7)content were signifi-cantly decreased in hypoxia group compared to the control group.Following intervention with perillyl alcohol and sildenafil,the protein expression levels of ACE and AngⅡin lung tissues of HPH rats were significantly decreased compared to the model group while those of ACE2 and Mas receptor,along with the content of Ang(1-7),were significantly increased.Perillyl alcohol significantly reduced the protein expression level of AT1R while sildenafil had no significant effect.CONCLUSION Perillyl alcohol can lower mPAP levels by improving pulmonary vascular remodeling and reducing pulmonary vascular fibrosis in HPH rats.The mechanism may be related to the regulatory effects on the ACE-AngⅡ-AT1R and ACE2-Ang(1-7)-Mas axes.

Objective:To compare the clinical outcomes of immediate breast reconstruction using latissimus dorsi flap with implant versus mesh with implant based on BREAST-Q evaluation.Methods:From the clinical database of the First Affiliated Hospital of Nanjing Medical University, the patients who underwent immediate breast reconstruction after total mastectomy from January 2020 to December 2023 were selected as the research subjects. All breast reconstruction surgeries were performed by the same surgeon. Patients were divided into two groups according to surgical methods: the latissimus dorsi muscle flap combined with implant immediate breast reconstruction group (LD group) and the mesh combined with implant immediate breast reconstruction group (mesh group). Patients were followed up in outpatient clinics or by telephone one year after surgery. The BREAST-Q was used to evaluate the surgical outcomes of both groups from four dimensions: psychosocial well-being, sexual well-being, chest-physical well-being, and breast satisfaction. The score range for each dimension was 0-100, with higher scores indicating greater patient satisfaction with quality of life and surgical outcomes. Statistical analysis was performed using SPSS 22.0 software. Normally distributed measurement data were expressed as Mean ± SD, and comparisons between the two groups were performed using independent sample t-test. Count data were expressed as number of cases and percentages, and comparisons between groups were performed using chi-square test or Fisher’s exact test. P<0.05 was considered statistically significant. Results:A total of 123 patients were included, with 59 patients in the LD group and 64 patients in the mesh group. In the LD group, the mean age was (37.7±7.0) years, body mass index (BMI) was (22.6±2.6) kg/m 2, and clinical tumor staging showed 2, 22, 30, and 5 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. In the mesh group, the mean age was (39.1±7.0) years, BMI was (22.6±2.8) kg/m 2, and clinical tumor staging showed 1, 25, 38, and 0 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. There were no statistically significant differences between the two groups in baseline characteristics including age, BMI, and clinical tumor staging (all P>0.05). One year after surgery, the BREAST-Q result showed no statistically significant differences between the LD group and mesh group in psychosocial well-being [(83.0±19.8) points vs. (80.8±19.3) points] and sexual well-being [(62.1±30.4) points vs. (65.8±25.6) points] (all P>0.05). However, the LD group had lower chest-physical well-being scores than the mesh group [(40.6±9.7) points vs. (45.1±9.6) points, P<0.05], while breast satisfaction scores were higher in the LD group than in the mesh group [(68.0±17.8) points vs. (59.8±12.6) points, P<0.01]. Conclusion:Immediate breast reconstruction by both latissimus dorsi flap with implant and mesh with implant can improve patients’ psychosocial and sexual well-being by enhancing breast appearance. However, LD technique provides better breast satisfaction, while the mesh technique offers advantages in physical well-being of the chest wall and upper body. Surgeons should select the most appropriate breast reconstruction technique based on patients’ anatomical conditions, treatment history, and individual needs to optimize postoperative quality of life and satisfaction.

To the present study aimed to investigate the protective effects of Erlong Zuoci Pills on oxidative stress induced by hydrogen peroxide (H2O2) in House Ear Institute-Organ of Corti 1 (HEI-OC1) and to explore the mechanism by cellular metabolomics. There were 6 groups in the experiment: the control group, model group, three dose groups of ELZC (low, medium, and high), and positive control ascorbic acid group. The oxidative stress injury model was established in the HEI-OC1 by inducing 0.9 mmol/L H2O2 for 12 h. The proliferation of HEI-OC1 cells was observed by CCK-8 assay; the contents and activity of lactate hydrogenase (LDH), reactive oxygen species (ROS), and superoxide dismutase (SOD) in HEI-OC1 cells were detected by corresponding kits. Finally, the endogenous substances of cells were analyzed from the perspective of metabolomics. Compared with the model group, ELZC groups could significantly increase the cell proliferation rate after administration. Moreover, they could also ameliorate the increase of ROS and LDH content and the decrease of antioxidant enzyme SOD caused by H2O2. Metabolomic results revealed significant differences among multiple groups in the scores of partial least squares discriminant analysis. The ELZC group could relocate the model group back to the control group. The metabolic regulation of ELZC on oxidative stress in HEI-OC1 cells mainly affects nucleotide metabolism and amino acid metabolism. In summary, the results indicate that ELZC exhibits protective effects on H2O2-induced oxidative stress in HEI-OC1 cells. Additionally, this protective effect may be produced by increasing the content of amino acids such as uridine and phenylalanine, thereby regulating pathways such as pyrimidine metabolism, phenylalanine metabolism, biosynthesis of phenylalanine, tyrosine, and tryptophan, and histidine metabolism.

Objective: To explore the effect of different obesity indicators in predicting cardiovascular and cerebrovascular diseases (CVD) risk among patients with type 2 diabetes mellitus (T2DM), so as to provide the evidence for the early identification of CVD risk among T2DM patients. Methods: The patients with T2DM under community management in Qingpu District, Shanghai Municipality were selected as the study subjects in January 2025. Basic information such as gender, age, and blood glucose control status were collected through the Shanghai Chronic Disease Information Management System, while history of CVD were obtained from residents' electronic health records and the Shanghai Disease Control Information Platform. Obesity was assessed using body mass index (BMI), waist circumference (WC), BMI combined with WC, waist-to-height ratio (WHtR), and triglyceride (TG) combined with WC indicators. The association between obesity and CVD was analyzed using multivariable logistic regression models. The predictive effect of each obesity indicators for CVD was evaluated using the area under the receiver operating characteristic curve (AUC). Results: A total of 4 367 patients with T2DM were included, including 2 121 males (48.57%) and 2 246 females (51.43%). The average age was (68.71±8.05) years. The prevalence of CVD was 44.49%. Multivariable logistic regression analysis showed that after adjusting for age, education level, history of hypertension, duration of T2DM, use of glucose-lowering medications, renal function, and blood glucose control status, obese T2DM patients had a 389.4% increased risk of CVD compared to those with normal BMI; centrally obese T2DM patients had a 100.4% increased risk compared to those with normal WC; T2DM patients with isolated general obesity and compound obesity had 161.0% and 241.1% increased risks of CVD, respectively, compared to those with normal BMI and WC; centrally obese T2DM patients had a 100.4% increased risk compared to those with normal WHtR; T2DM patients with normal TG-high WC and high TG-high WC phenotypes had 83.1% and 68.8% increased risks of CVD, respectively, compared to those with normal TG and normal WC (all P<0.05). BMI had the highest AUC, at 0.714, with sensitivity and specificity of 0.675 and 0.642, respectively. This was followed by BMI combined with WC, which had an AUC of 0.707, with sensitivity and specificity of 0.635 and 0.679, respectively. Conclusions Obesity defined by BMI, WC, BMI combined with WC, WHtR, and TG combined with WC increases the risk of CVD among patients with T2DM. BMI and BMI combined with WC have better predictive effect in predicting CVD risk among patients with T2DM, and can be used as the primary obesity indicators for CVD risk screening.