BackgroundAdverse childhood experiences （ACEs） are strong predictors of psychopathology across the lifespan， exerting extensive adverse effects on physical and mental health during early development. While ACEs increase the risk of childhood psychopathology， sleep quality and impair cognitive function， the early neurobiological mechanisms mediating ACE-induced cognitive impairment remain unclear. ObjectiveTo explore the association between ACEs exposure and the risk of psychopathology， sleep disorders， and cognitive function， and to examine the mediating role of the putamen volume in the relationship between ACEs and cognitive function from a neurodevelopment perspective. MethodsData were obtained from the Adolescent Brain Cognitive Development （ABCD） study， comprising 10 572 children aged 9 to 10. Participants were categorized into five groups based on the cumulative score of ACEs reported by their parents and the children themselves： no-exposure group （0 types of ACEs）， the one-exposure group， the two-exposure group， the three-exposure group， and the high-risk exposure group （≥ 4 types of ACEs）. Logistic regression analysis was employed to evaluate the association between ACEs and psychopathological symptoms ［T score of the Child Behavior Checklist （CBCL） ≥ 65］. Multiple linear regression analysis was ultilized to analyze the correlations between ACEs and the scores of the Sleep Disturbance Scale for Children （SDSC）， the NIH Toolbox Cognition Battery （NIHTB-CB）， as well as the multiple structures in the cerebral cortex and subcortex. The Bootstrap method was applied to test the mediating effect of the putamen volume between ACEs and neurocognitive function. ResultsAfter adjusting for confounders， ACEs cumulative score was correlated with children's psychopathological symptoms in a dose-response manner. Compared with the no-exposed group， the high-risk exposure group had a 2.08-fold （OR=2.080， 95% CI： 1.401–3.088） increased risk of internalizing problems and a 3.13-fold （OR=3.132， 95% CI： 1.703–5.760） increased risk of externalizing problems， and the risk of conduct problems was 4.68 times that of the no-exposed group （OR=4.681， 95% CI： 2.528–8.669）. ACEs cumulative score positively predicted the total score of SDSC （β=0.080， 95% CI： 0.059–0.102）， with relatively stronger predictive effects on sleep-wake transition disorder （β=0.086， 95% CI： 0.063–0.109） and sleep onset and maintenance disorder （β=0.066， 95% CI： 0.043–0.089）. In terms of neurocognition and brain structure， ACEs cumulative score negatively predicted the overall cognitive composite score （β=-0.025， 95% CI： -0.050–-0.001）， the crystallized cognitive composite score （β=-0.035， 95% CI： -0.060–-0.010）， the volume of the left putamen nucleus （β=-0.025， 95% CI： -0.046– 0.003）， and the volume of the right putamen nucleus （β=-0.023， 95% CI： -0.044– 0.003）. The total putamen volume played a partial mediating role between ACEs and the overall cognitive composite score， the effect value was -0.002 （95% CI： -0.004–-0.001）， accounting for 7.49% of the total effect. ConclusionACEs exposure may increase the risk of psychopathological and sleep disturbances in children and may impair neurocognitive function. Reduced putamen volume may serve a potential neurobiological pathway underlying the impact of ACEs on childhood cognition. ［Funded by National Natural Science Foundation of China-Young Scientists Program （number， 82401763）； Sichuan University West China Hospital Full-time Postdoctoral Research and Development Fund Project （number， 2023HXBH084）］

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Objective To investigate the synergistic therapeutic effects of HER2 antibody-drug conjugate(HER2-ADC)combined with anti-PD-1 antibody(anti-PD-1)on HER2-expressing bladder cancer and elucidate its regulatory mechanisms on the tumor immune microenvironment.Methods Orthotopic tumor models were established in 40 female C57BL/6 mice(6～8 weeks old,body mass 18～22 g)using MB49 bladder cancer cells overexpressing human HER2.When tumors reached 100 mm3,the mice were randomized into(n=10)control(intraperitoneal injection of 1.0 mL PBS),anti-PD-1(200 μg per mouse every 3 d),HER2-ADC(2.5 mg/kg once weekly),and combination groups(same regimens as above monotherapy).Tumor volume and body mass were measured every 3 d during 28-day treatment.Tumor growth kinetics and survival rates were analyzed.Post-treatment survival was monitored until natural death to determine median survival time(n=5).At day 28,blood and tumor samples(n=5)were collected to detect myeloid-derived suppressor cells(MDSCs;CD11b?Gr1?)and regulatory T cells(Tregs;CD4?CD25?FOXP3?)with flow cytometry,tumor-infiltrating CD3?T,CD8?T,and FOXP3?T cells with immunohistochemical assasy,and liver/kidney functions[alanine aminotransferase(ALT),aspartate aminotransferase(AST),blood urea nitrogen(BUN),creatinine(CRE)]and tissue damage indicators[lactate dehydrogenase isoenzyme(LDH-L)].Results In 28 d after treatment,the combination group obtained significantly smallest tumor volume than the control group and the 2 monotherapy groups(all P<0.01).The longest median survival was observed in the combination group(65 d,P<0.01),followed by the HER2-ADC group(55 d),anti-PD-1 group(53 d)and control group(41 d).After 28 d of treatment,the combination group exhibited obviously the smallest peripheral proportions of MDSCs/Tregs,most tumor-infiltrating CD3?T/CD8?T cells,and less FOXP3?T cells when compared with the 2 monotherapy groups and control group(all P<0.05).While,the 2 monotherapy groups had smaller MDSCs/Tregs proportions than the control group(P<0.05).No significant differences were observed among the 4 groups in serum ALT,AST,BUN,CRE,or LDH-L levels,and all of them were within normal ranges.Conclusion HER2-ADC combined with anti-PD-1 suppresses the growth of orthotopic bladder tumor,probably through their synergic effects on down-regulating MDSCs/Treg and enhancing CD8?T cell infiltration.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

Objective:To investigate the mediating effect of psychological flexibility between recurrence risk perception and health behavior in stroke patients.Methods:From July to December 2024, 233 stroke patients at the First Affiliated Hospital of Zhengzhou University were selected using convenience sampling. Electronic questionnaires were used to collect patients' general information, perception of stroke recurrence risk, health behavior, and psychological flexibility.Results:The scores for recurrence risk perception, psychological flexibility, and health behavior of 233 stroke patients were (39.75±4.39), (47.45±4.19), and (54.04±3.78), respectively. Health behavior were positively correlated with recurrence risk perception ( r=0.495, P<0.01), and negatively correlated with psychological flexibility ( r=-0.367, P<0.01). Psychological flexibility partially mediated the relationship between recurrence risk perception and health behavior, with an effect value of 0.080 and an effect proportion of 17.5% (0.080/0.458) . Conclusions:Recurrence risk perception not only directly predicts health behavior in stroke patients but also indirectly influences their health behavior through psychological flexibility. Healthcare providers should enhance recurrence risk perception among stroke patients and incorporate the improvement of psychological flexibility as part of intervention strategies to improve patients' health behavior.

Objective To investigate the mechanism of kaempferol(KPF)in the treatment of macular edema sec-ondary to retinal vein occlusion(RVO-ME).Methods RVO model was established in SD rats using photocoagulation.Twenty SD rats were randomly divided into:Control group(normal rats,saline injection),Model group(RVO model rats,saline injection),Low KPF group[RVO model rats,KPF injection(8 mg·kg-1·d-1)],High KPF group[RVO model rats,KPF injection(16 mg·kg-1·d-1)],with 5 rats per group for 14 days.Fundus photography observed retinal vessels;HE staining evaluated retinal structural changes.HRMECs were randomly divided into:control group(no intervention),CoCl2 group(300 μmol·L-1 CoCl2),Low-dose KPF group(300 μmol·L-1 CoCl2+20 μmol·L-1 KPF),High-dose KPF group(300 μmol·L-1 CoCl2+30 μmol·L-1 KPF)and pathway inhibitor group(DAPT group)(300 μmol·L-1 CoCl2+20 μmol·L-1 DAPT),with 24-hour intervention.CCK-8 assay detected cell viability;Scratch test measured cell migration rate;ELISA quantified inflammatory factors[interleukin(IL)-6,tumor necrosis factor(TNF)-α];FITC-dextran assay evalu-ated endothelial monolayer permeability;Immunofluorescence detected zonula occludens(ZO)-1 expression;Western blot and RT-PCR measured protein and mRNA levels of ZO-1,Occludin,Notch1,and Hes1.Results Fundus photography showed interrupted venous blood flow and retinal edema in Model group,alleviated by KPF.HE staining revealed disorder-ed retinal arrangement and severe edema in the Model group,improved by KPF.Compared with CoCl2 group,Low-and High-dose KPF groups showed reduced cell migration rate,increased cell vitality(both P＜0.05),IL-6 and TNF-α levels de-creased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),permeability coefficient decreased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),ZO-1 expression increased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),ZO-1 and Occludin protein/mRNA levels increased;Notch1 and Hes1 protein/mRNA levels de-creased in Low-and High-dose KPF groups and DAPT group(all P＜0.05).Conclusion KPF treat RVO-ME by inhibiting the Notch1/Hes1 pathway,exerting anti-inflammatory effects and improving intercellular tight junctions.

Following the evidence-based diagnosis and treatment guideline development method for common pediatric diseases,the The Guideline for the Diagnosis and Treatment of Pediatric Food Accumulation and Stagnation in Chinese Medicine was formed through literature retrieval,expert questionnaire survey,expert discussion meeting,and solicitation of opinions.The revised content includes the scope of the guideline,normative reference documents,terms and definitions,diagnosis,syndrome differentiation,treatment,pre-vention and nursing suggestions,etc.,aiming to update the clinical diagnosis and treatment plan of Chinese medicine for accumulation and provide important clinical decision-making references for clinical physicians to rationally apply the diagnosis and treatment plan of Chinese medicine in the prevention and treatment of accumulation and stagnation in Children.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

Objective To develop and validate an efficient and simple liquid chromatography with tandem mass spectrometry(LC-MS/MS)method for determination of polymyxin E in human plasma,and apply the established method in therapeutic drug monitoring(TDM)of polymyxin E.Methods The LC-MS/MS platform was based on AB SCIEX HPLC-4500MD system.Gradient elution was performed with 0.2％formic acid in water and 0.2％formic acid in acetonitrile.Phenomenex Kinetex XB-C18 column(100 mm × 2.1 mm,2.6 μm)were used.The analytes were detected by electrospray ionization(ESI)positive multiple reaction monitoring mode.The ion pairs for analytes(polymyxins E1,E2)and internal standard(polymyxins B1)were m/z 390.7→101.3,m/z 386.0→101.2,and m/z 402.3→101.2,respectively.Plasma samples were processed with protein precipitation method.Results Polymyxin E1 and E2 showed good linearity in the range of 0.031 2-6.24 mg/L and 0.006 15-1.23 mg/L,respectively.The within-run accuracy of polymyxin E1 and E2 in plasma ranged from 89.4％to 99.8％and 91.5％to 108.2％,respectively,while the between-run accuracy ranged from 91.8％to 104.7％and 95.6％to 105.2％,respectively.The within-run precision of polymyxin E1 and E2 in plasma ranged from 4.9％to 8.9％and 2.8％to 8.5％,respectively,while the between-run precision ranged from 4.1％to 7.6％and 4.2％to 9.8％,respectively.The average internal standard normalized matrix effect factors of polymyxins E1 and E2 were 96.9％-111.2％and 106.1％-112.8％in blank plasma samples from 6 different sources,102.5％-106.8％and 98.8％-105.2％in lipemic plasma,respectively,107.8％-108.9％and 106.9％-1 07.4％in hemolyzed plasma,respectively.The precision of matrix effects was less than 15.0％.The average recovery rate was 102.9％-107.5％for polymyxin E1 and E2,and 107.0％for internal standard polymyxin B1.The precision was less than 3.7％.Conclusions In this study,a simple and efficient LC-MS/MS method was established for determination of polymyxin E1 and E2 in human plasma,which is reliable in the therapeutic drug monitoring and pharmacokinetic study of polymyxin E.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.