Depression (Dep) is one of the most common concomitant symptoms of Parkinson's disease (PD), but there is a lack of detailed pathologic evidence for the occurrence of PD-Dep. Currently, the management of symptoms from both conditions using conventional pharmacological interventions remains a formidable task. In this study, we found impaired activation of extracellular signal-related kinase (ERK), reduced levels of transcription and translation, and decreased expression of brain-derived neurotrophic factor (BDNF) in the medial prefrontal cortex (mPFC) of PD-Dep rats. We demonstrated that the abnormal phosphorylation of α-synuclein (pS129) induced tropomyosin-related kinase receptor type B (TrkB) retention at the neuronal cell membrane, leading to BDNF/TrkB signaling dysfunction. We chose SEW2871 as an ameliorator to upregulate ERK phosphorylation. The results showed that PD-Dep rats exhibited improvement in behavioral manifestations of PD and depression. In addition, a reduction in pS129 was accompanied by a restoration of the function of the BDNF/ERK signaling loop in the mPFC of PD-Dep rats.
Animals ; Brain-Derived Neurotrophic Factor/metabolism* ; alpha-Synuclein/metabolism* ; Male ; Prefrontal Cortex/drug effects* ; Rats, Sprague-Dawley ; Depression/metabolism* ; MAP Kinase Signaling System/drug effects* ; Rats ; Parkinson Disease/metabolism* ; Receptor, trkB/metabolism* ; Phosphorylation ; Disease Models, Animal ; Signal Transduction

Mutations in ion channel genes have long been implicated in a spectrum of epilepsy syndromes. However, therapeutic decision-making is relatively complex for epilepsies associated with channelopathy. Therefore, in the present study, we used a patient-derived organoid model with a novel SCN2A mutation (p.E512K) to investigate the potential of utilizing such a model as a platform for preclinical testing of anti-seizure compounds. The electrophysiological properties of the variant Nav1.2 exhibited gain-of-function effects with increased current amplitude and premature activation. Immunofluorescence staining of patient-derived cortical organoids (COs) displayed normal neurodevelopment. Multielectrode array (MEA) recordings of patient-derived COs showed hyperexcitability with increased spiking and remarkable network bursts. Moreover, the application of patient-derived COs for preclinical drug testing using the MEA showed that they exhibit differential responses to various anti-seizure drugs and respond well to carbamazepine. Our results demonstrate that the individualized organoids have the potential to serve as a platform for preclinical pharmacological assessment.
Organoids/physiology* ; NAV1.2 Voltage-Gated Sodium Channel/genetics* ; Humans ; Anticonvulsants/pharmacology* ; Epilepsy/drug therapy* ; Mutation ; Cerebral Cortex/drug effects* ; Action Potentials/drug effects* ; Carbamazepine/pharmacology*

Objective:To investigate children's attention deficit hyperactivity disorder symptoms and their im-pact on parental anxiety and depression,as well as the mediating role of parent-child relationship.Methods:A total of 472 children with ADHD who met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Dis-orders,Fourth Edition(DSM-Ⅳ)were selected.The severity of ADHD symptoms was assessed using the Attention Deficit Hyperactivity Disorder Rating Scale(ADHD-RS),parent-child relationships were assessed using the Parent-Child Relationship Test(PCRT),and parental anxiety and depression were assessed using the Generalized Anxiety Disorder 7-item Scale(GAD-7)and the Patient Health Questionnaire-9(PHQ-9),respectively.Mediation analysis was conducted following structural equation modeling construction.Results:There was a positive correlation be-tween ADHD-RS scores and PCRT scores,parental GAD-7 scores,and PHQ-9 scores(r=0.19-0.29,Ps＜0.001).PCRT scores significantly mediated the relationship between ADHD-RS total scores and parental GAD-7 and PHQ-9 scores(β=0.02-0.03,Ps＜0.05).PCRT scores did not significantly mediate the relationship between ADHD-RS inattention scores and parental GAD-7 and PHQ-9 scores(β=0.01-0.02,Ps＞0.05).PCRT scores significantly mediated the relationship between ADHD-RS hyperactivity/impulsivity scores and parental GAD-7 and PHQ-9 scores(β=0.02,Ps＜0.05).Conclusion:The symptoms of ADHD in children are associated with parental anxiety and depression symptoms,with parent-child relationships mediating this relationship.

Objective:To investigate affinity of monoclonal antibody(MAb)of different cardiac troponinⅠ(cTnⅠ)epi-topes to cTnⅠ-troponin C(cTnⅠ-TnC)antigen,and to screen novel cTnⅠ-specific antibodies for clinical detection kit development.Methods:Based on technology platform of microarray chemiluminescence immunoassay,cTnⅠ-TnC antigen spot sample hard matrix chip was used,mouse derived cTnⅠ MAb was used as antibody to be detected,HRP-sheep-anti-mouse-IgG was used as antibody to detect,and experimental conditions were optimized for anti-origin solution,antigen spot sample concentration and antibody to be detected concentration.Affinity of cTnⅠ MAb with different antigenic epitopes to cTnⅠ-TnC was detected by competition method.Graded concentrations of cTnⅠ-TnC were added to experimental group,and diluents of equal volume were added to control group.Reaction signals of different cTnⅠ MAb were detected and affinity constants were calculated.Results:Antigen spot sample liquid was P105,antigen spot sample concentration was 0.1 mg/ml,and antibody concentration to be detected was 80 ng/ml were optimal experi-mental conditions.20c6cc and 7B9cc MAb containing TnC antibodies had the best affinity,and 20c6cc MAb reached 3.18×106 L/mol.cTnⅠ MAb located at C-end of peptide chain in a.a.r 130～145,169～178 and 190～196 regions showed good affinity,among which MAb 625(a.a.r 169～178)was 6.37×105 L/mol,showing the strongest affinity among cTnⅠ MAb.Conclusion:MAb has good affinity with cTnⅠ-TnC antigen at C-end of cTnⅠ peptide chain a.a.r 130～145,169～178,190～196 and TnC region.Designing a new type of cTnⅠ complement antibody targeting this region can be a new way to solve negative interference of autoantibody and peptide proteolysis.

Objective:To investigate the application value of risk prediction model for acute kidney injury (AKI) after donation of cardiac death (DCD) liver transplantation based on machine learning algorithm.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 001 pairs of DCD liver transplant donors and recipients at five hospitals, including The First Affiliated Hospital of Zhejiang University School of Medicine et al, in the Chinese Liver Transplan-tation Registry from January 2015 to December 2023 were collected. Of the donors, there were 825 males and 176 females. Of the recipients, there were 806 males and 195 females, aged 52 (range, 18-75)years. There were 281 recipients included using oversampling technique, and all 1 282 recipients were divided to the training set of 897 recipients and the validation set of 385 recipients by a ratio of 7∶3 using computer-generated random numbers. Seven prediction models, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN), and Categorical Boosting (CatBoost), were constructed for AKI after liver transplantation based on machine learning algorithm. Observation indicators: (1) comparison of clinicopathological characteristics between recipients with and without AKI and donors; (2) follow-up and survival of recipients with and without AKI; (3) construction and validation of nomogram prediction model of AKI after liver transplantation; (4) construction and validation of machine learning prediction model of AKI after liver transplantation. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test, and comparison among groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. Kaplan-Meier method was used to calculate survival rates and plot survival curves. Logistic regression model was performed for univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was plotted to calculate area under curve (AUC) and 95% confidence interval ( CI). The performance of prediction model was evaluated using DeLong test, accuracy, sensitivity, specificity. The calibration curve was plotted to evaluate the performance of predicted probability and actual probability. The interpretability analysis of machine learning algorithm and SHapley Additive exPlanations was used to explain the model decision separately. Results:(1) Comparison of clinicopathological characteristics between recipients with and without AKI and donors. Of 1 001 recipients, there were 360 cases with AKI and 641 cases without AKI after liver transplantation. There were significant differences in body mass index (BMI), hepatic encepha-lopathy, hepatitis B surfact antigen (HBsAg), hepatorenal syndrome (HRS) and donor diabetes, donor blood urea nitrogen, donor alanine aminotransferase, donor aspartate aminotransferase, mass of graft, volume of blood loss during liver transplantation, warm ischema time of donor liver, and operation time between recipients with and without AKI ( Z=-4.337, χ2=9.751, 9.088, H=11.142, χ2=5.286, Z=-3.360, -2.539, -3.084, -1.730, -3.497, -1.996, -2.644, P<0.05). (2) Follow-up and survival of recipients with and without AKI. All the 1 001 recipients received follow-up. The recipients with AKI after liver transplantation were followed up for 18.6(range, 0-102.3)months, and recipients without AKI after liver transplantation were followed up for 31.9(range, 0.1-105.5)months. The 1-, 3-, and 5-year overall survival rates were 72.1%, 63.5%, and 59.3% of recipients with AKI, versus 86.7%, 76.7%, and 72.5% of recipients without AKI, respectively, showing a significant difference in overall survival between them ( χ2=26.028, P<0.05). (3) Construction and validation of nomogram predic-tion model of AKI after liver transplantation. Results of multivariate analysis showed that recipient BMI, recipient creatinine, recipient HBsAg, recipient HRS, donor blood urea nitrogen, donor crea-tinine, anhepatic phase and volume of blood loss during liver transplantation were independent risk factors for AKI of recipients after liver transplantation ( odds ratio=1.113, 0.998, 0.605, 1.580, 1.047, 0.998, 1.006, 1.157, 95% CI as 1.070-1.157, 0.996-1.000, 0.450-0.812, 1.021-2.070, 1.021-1.074, 0.996-0.999, 1.000-1.012, 1.045-1.281, P<0.05). The nomogram prediction model of AKI after liver transplantation was constructed based on the results of multivariate analysis. Results of ROC curve showed that the AUC of 0.666 (95% CI as 0.637-0.696). (4) Construction and validation of machine learning prediction model of AKI after liver transplantation. Based on the Lasso regression analysis, seven machine learning algorithm prediction models, including RF, XGBoost, SVM, LR, DT, KNN, and CatBoost, were constructed, with ROC curves of the validation set plotted. The AUC of above models were 0.863, 0.841, 0.721, 0.637, 0.620, 0.708, 0.731, accuracies were 0.764, 0.782, 0.701, 0.592, 0.605, 0.605, 0.681, sensitivities were 0.764, 0.789, 0.719, 0.588, 0.694, 0.694, 0.704, specificities were 0.763, 0.774, 0.683, 0.597, 0.511, 0.511, 0.656, respectively. Delong test showed that the RF model with the highest AUC of 0.863(95% CI as 0.828-0.899). Calibration curve analysis showed the predicted probability closest to the actual probability of RF model, indicating the model with a good validation value. Further sorting of SHAP of different clinical factors based on RF model showed that recipient BMI, donor blood urea nitrogen, volume of blood loss during liver transplantation, donor age had large effects on the output outcomes. Conclusion:The nomogram prediction model and seven machine learning algorithm prediction models for AKI after DCD liver transplantation are constructed, and the RF model based on machine learning has a better predictive performance.

Polycystic ovary syndrome （PCOS） is a common gynecological endocrine and reproductive disorder，with the main clinical manifestations including ovulation failure，insulin resistance，hyperandrogenism，and obesity. Its occurrence and development are closely related to cellular regulatory mechanisms such as apoptosis，autophagy，oxidative stress，and inflammatory response. Autophagy，as a clearance mechanism that maintains cellular homeostasis，plays a crucial role in maintaining the growth，development，and maturation of oocytes. Exploring the mechanism of autophagy during the occurrence and development of diseases can help develop treatment methods for PCOS by regulating autophagy. Studies have shown that autophagy plays an important role in the pathogenesis of PCOS，and it can affect the occurrence and development of PCOS through multiple pathways，levels，and targets. Traditional Chinese medicine （TCM） regulates autophagy in ovarian granulosa cells or endometrium of patients with PCOS by targeting the expression of autophagy signaling pathways，regulatory factors，and non-coding single-stranded RNA molecules，thereby alleviating inflammation，regulating metabolism disorders，and balancing hormone levels in PCOS. Accordingly，TCM can ameliorate pathological conditions such as insulin resistance，hyperandrogenism，and ovulation failure in PCOS. This article summarizes the TCM formulas and extracts for the treatment of PCOS，as well as the main autophagy pathways and regulatory factors involved，aiming to provide reference and suggestions for the future treatment of PCOS with TCM by regulating autophagy.

Objective:To analyze the current status and trends in the clinical management and outcomes of respiratory distress syndrome (RDS) in preterm infants <32 weeks′ gestation admitted to the Chinese Neonatal Network (CHNN) from 2019 to 2023.Methods:A cross-sectional study was conducted from November 2024 to January 2025 using the CHNN cohort of very preterm and extremely preterm infants. A total of 30 869 RDS infants with gestational age <32 weeks were admitted within 1 day after birth to CHNN centers from 2019 to 2023. Data on demographics, perinatal management, early complications within 7 days of age, and in-hospital outcomes were collected. Yearly groups were defined by admission year. Trends by year were evaluated by Cochran-Armitage trend test, linear regression model and median regression model.Results:The gestational age at birth of 30 869 RDS infant was 28.9 (27.1, 30.7) weeks and the birth weight was 1 259 (932, 1 586) g. Males account for 56.5% (17 363/30 757). From 2019 to 2023, the prevalence of RDS was 73.8% (5 503/7 461), 74.5% (5 490/7 368), 79.8% (5 884/7 372), 81.6% (6 435/7 889), and 86.0% (7 557/8 789), respectively, showing an increasing trend year by year ( P<0.001). The overall rate of pulmonary surfactant administration was 72.4% (22 359/30 869), fluctuating between 71.2% (5 381/7 557) and 74.3% (4 089/5 503) over the 5-year period. Antenatal corticosteroids were administered to 82.3% (24 357/29 597) mothers of RDS infants and 23.6% (7 218/30 565) RDS infants received noninvasive positive end-expiratory pressure support in the delivery room, both showing a increasing trend over the 5 years (both P<0.001). The incidence of pneumothorax and the use rate of inhaled nitric oxide within 7 days of age were 1.3% (393/30 846) and 1.4% (436/30 869), respectively, both showing increasing trends over the 5 years (both P<0.001). The rate of complete course of antenatal corticosteroids administration was 64.6% (14 458/22 382), the rates of discharge against medical advice and mortality within 7 days of age were 5.3% (1 635/30 869) and 2.7% (724/26 803), respectively, all showing a decreasing trend over time (all P<0.05). Regarding in-hospital outcomes, mortality rate of RDS infants was 4.6% (1 228/26 803), showing a downward trend year by year ( P=0.005). The incidence of bronchopulmonary dysplasia (BPD) was 35.0% (9 417/26 919), and the combined incidence of death or BPD was 36.4% (9 763/26 803), both showing an increasing trend year by year (both P<0.001). Conclusions:RDS prevalence increased annually in preterm infants <32 weeks′ gestation from 2019 to 2023, with declining mortality but rising BPD rates. While antenatal steroid use and noninvasive positive end-expiratory pressure support application improved, full-course antenatal steroid compliance decreased. These findings highlight the need for standardized perinatal management protocols to improve the clinical management of RDS.

Objective:To explore the clinicopathological features and prognosis of double primary cancer of breast cancer and lung cancer.Methods:A total of 40 patients with breast cancer and lung cancer admitted to Beijing Friendship Hospital, Capital Medical University from December 2015 to December 2023 were retrospectively selected, and the clinicopathological characteristics and prognosis of patients with double primary cancer included in the study were analyzed. The count data were expressed as the number of cases and percentage, Chi-test was used for inter-group comparison or Fisher exact probability method was used for single frequency < 5, rank sum test was used for inter-group comparison of two-sample levels, and Kruskal-Walllis H test was used for inter-group comparison of three-sample levels. The survival rate and survival were analyzed by Kaplan-Meier method, and the survival curve was compared by Log-rank method. Results:Among the 40 patients, 50% were patients with simultaneous and metachronous double primary cancer. And there were statistically significant differences between the two groups in the number of lymph node metastases and whether to receive endocrine therapy ( P=0.025, 0.028). There were 32 patients firstly appear breast cancer, while 8 patients firstly appear lung cancer. And there were statistically significant differences in the body mass index and TNM stage of breast cancer between the two groups ( P=0.004, 0.015). The proportion of progesterone receptor positive patients with human epidermal growth factor receptor 2 low-expression in breast cancer was significantly higher than that in patients with HER2 non-expression and HER2 overexpression ( P=0.023). 92.5% of patients had lung adenocarcinoma, and 77.5% of patients were clinical stage I of lung cancer, and the overall survival of patients who received adjuvant therapy after lung cancer surgery was significantly lower than that of patients without adjuvant therapy, the difference was statistically significant ( P<0.001). Conclusion:The prognosis of patients receiving adjuvant therapy after lung cancer surgery is poor, and regular follow-up after breast cancer surgery is helpful for early detection and early treatment of lung cancer.

Objective:To analyze the transcriptomic features of breast cancer and its lymph node metastasis using single-cell RNA sequencing, to identify potential biomarkers for breast cancer.Methods:The GSE180286 single-cell RNA sequencing dataset was used to examine the transcriptomic characteristics of breast cancer and its lymph node metastasis. Following quality control, dimensionality reduction, clustering, and cell annotation of single-cell data, genes associated with breast cancer were identified. Dotplot, FeaturePlot, and other analytical methods were applied to investigate the expression profiles of target genes ( ALOX15B, FAAH, HDGF, KLF5, TLE3, TNS1) across different cell types and to assess their activity in immune and metabolic pathways. Statistical analysis was performed using the bilateral Student′s t-test. Results:ALOX15B, FAAH, HDGF, KLF5, TLE3, and TNS1 were differentially expressed across various cell types in breast cancer. ALOX15B was specifically expressed in macrophages and involved in immune responses, particularly with high activity in complement and inflammatory response pathways. HDGF was primarily expressed in epithelial cells and closely associated with breast cancer proliferation, migration, and angiogenesis. FAAH, KLF5, TLE3, and TNS1 were also closely related to the onset and progression of breast cancer. Co-expression analysis revealed relationships between these genes and breast cancer regulatory genes such as BRCA1 and BRCA2. Conclusions:This study identified 6 breast cancer-specific expressed potential biomarkers, and revealed their expression characteristics in different cell types and their differential activity in immune-metabolism-related pathways. These findings provide potential targets for understanding the molecular mechanisms of breast cancer and developing new therapeutic strategies.

Objective:To investigate children's attention deficit hyperactivity disorder symptoms and their im-pact on parental anxiety and depression,as well as the mediating role of parent-child relationship.Methods:A total of 472 children with ADHD who met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Dis-orders,Fourth Edition(DSM-Ⅳ)were selected.The severity of ADHD symptoms was assessed using the Attention Deficit Hyperactivity Disorder Rating Scale(ADHD-RS),parent-child relationships were assessed using the Parent-Child Relationship Test(PCRT),and parental anxiety and depression were assessed using the Generalized Anxiety Disorder 7-item Scale(GAD-7)and the Patient Health Questionnaire-9(PHQ-9),respectively.Mediation analysis was conducted following structural equation modeling construction.Results:There was a positive correlation be-tween ADHD-RS scores and PCRT scores,parental GAD-7 scores,and PHQ-9 scores(r=0.19-0.29,Ps＜0.001).PCRT scores significantly mediated the relationship between ADHD-RS total scores and parental GAD-7 and PHQ-9 scores(β=0.02-0.03,Ps＜0.05).PCRT scores did not significantly mediate the relationship between ADHD-RS inattention scores and parental GAD-7 and PHQ-9 scores(β=0.01-0.02,Ps＞0.05).PCRT scores significantly mediated the relationship between ADHD-RS hyperactivity/impulsivity scores and parental GAD-7 and PHQ-9 scores(β=0.02,Ps＜0.05).Conclusion:The symptoms of ADHD in children are associated with parental anxiety and depression symptoms,with parent-child relationships mediating this relationship.