Objective : To explore the effect of the addition of N-acetylcysteine ( NAC) on the abnormal increase of reactive oxygen species ( ROS) during platelet cold storage，and to clarify its function of preventing the platelets from being recognized and cleared by macrophages and hepatocytes． Methods : Platelets Concentrates were divided into room temperature group ( 22C) ，cold storage group ( 4C) and NAC addition group．In NAC addition group， the platelets were supplemented with 5 mmol / L ( N5) and 25 mmol / L ( N25) NAC．After 5-day storage，the levels of ROS，activation markers and other index of platelets in each group were detected by flow cytometry． Platelet phagocytosis was detected by PMA-activated THP-1 cells or by primary cultured HepG2 cells． Results : After 5 days of storage，ROS increased significantly in 4C group than those in 22C group ( P＜0. 05) ，and after NAC addi- tion，ROS level reduced significantly ( P＜0. 05) ．The expression of CD62P and PS and the exposure of β-GlcNAc on platelets in N5 group significantly decreased compared with those in 4C group ( P＜0. 05) ．The platelet phago- cytosis by THP-1 and HepG2 cells were also significantly lower in N5 group than those in 4C group ( P＜0. 05) ． However，the addition of 5 mmol / L NAC did not significantly affect the count，pH，CD42b expression，β-Gal ex- posure and coagulation function of cold-stored platelet after 5-day storage． Conclusion The addition of NAC to re- frigerated platelets can significantly decrease the level of platelet ROS and effectively reduce their phagocytosis by cells，suggesting that NAC addition may protect refrigerated platelets from being cleared by phagocytosis after trans- fusion．

Primary liver cancer is one of the most common causes of cancer-related deaths in China,with hepatocellular carcinoma(HCC)accounting for 75%-85%.Approximately 70%of HCC patients are in the advanced stage at the time of diagnosis and miss the opportunity for radical surgery,leading to a poor prognosis.Yttrium-90 microsphere selective internal radiation therapy(90Y-SIRT),an emerging therapeutic modality,delivers radioactive microspheres via the hepatic artery to target tumors and uses beta radiation for localized tumor ablation.Compared to conventional transarterial chemoembolization and pharmacotherapy,90Y-SIRT shows the advan-tages of significant clinical benefits,good safety profiles,and broad applicability across diverse patient populations.This article re-views the advances in the application of 90Y-SIRT in HCC treatment.

Primary liver cancer is a malignant tumor with high incidence and mortality rates worldwide,and the early diagnosis of pri-mary liver cancer and the optimization of precise treatment strategies have become critical issues in the healthcare field.Due to the in-sufficient capabilities for molecular characterization,it is increasingly difficult for traditional imaging techniques to meet clinical needs in the era of precision medicine.Multimodal molecular imaging technology integrates the advantages of imaging modalities such as ul-trasound imaging,magnetic resonance imaging,and optical imaging,thereby achieving synergistic enhancement between molecular bio-logical information of liver cancer and precise anatomical localization and demonstrating a significant value in the diagnosis and treat-ment of liver cancer.This article reviews the advances in the application of multimodal molecular imaging in the early diagnosis,pre-cise treatment,and therapeutic efficacy monitoring of liver cancer.

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*

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 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.

Objective:To observe the therapeutic effects of electroacupuncture(EA)stimulation on chronic pain and associated negative emotions,and to investigate the activity changes of glutamatergic neurons in the primary motor cortex(M1)following EA stimulation.Methods:Male C57BL/6J mice were randomly divided into four groups:sham surgery(Sham),pure electroacupuncture stimulation(EA),nerve injury(SNI)and electroacupuncture treatment of nerve injury(SNI+EA).Thirty days after the SNI model establishment,EA stimulation was administered bilaterally to the Zusanli(ST36)acupoints in mice.von Frey filaments and Hargreaves heat sensitivity testing were used to detect mechanical and thermal hyperalgesia.The elevated plus maze test was conducted to assess the impact on anxiety-like behaviors in mice.Dual immunofluorescence staining was employed to observe changes in c-Fos expression in M1 gluta-matergic neurons.Results:As compared to Sham group,SNI-treated mice exhibited significant mechanical and thermal hyperalgesia in bilateral hindpaws at 30 days post-modeling(P＜0.01)and displayed obvious anxiety-like behaviors(P＜0.01).The SNI+EA group showed significant relief in pain and anxiety-like behaviors(P＜0.01).c-Fos expression in M1 glutamatergic neurons was significantly decreased in SNI mice.Conversely,after electroacupuncture(EA)treatment,compared to the SNI group,M1 glutamatergic neurons in the SNI+EA group showed significantly in-creased c-Fos expression(P＜0.01).Conclusion:Electroacupuncture significantly alleviated chronic pain and associ-ated anxiety-like behaviors induced by SNI,which might involve the activation of glutamatergic neurons in the M1 in this process.

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.