ObjectiveTo observe the effects of Xiaoyaosan on glucagon-like peptide-1 （GLP-1）/GLP-1 receptor （GLP-1r） and protein kinase A （PKA）/cAMP response element binding protein （CREB）/brain-derived neurotrophic factor （BDNF） signaling pathways in the hippocampal CA1 region of rats under chronic restraint stress （CRS），and to explore the mechanism of this formula to alleviate anxiety and depression-like behaviors. Methods40 specific pathogen-free male Sprague-Dawley （SD） rats were randomly divided into normal，model，Xiaoyaosan，and fluoxetine groups，with 10 rats in each group. CRS was used to induce anxiety and depression-like behaviors. The rats in the Xiaoyaosan group were gavaged with aqueous solution of traditional Chinese medicine formula granules （7.36 g·kg^-1·d^-1），while those in the fluoxetine group were gavaged with aqueous solution of fluoxetine （2 mg·kg^-1·d^-1）. Body weight was measured on days 0，7，14，and 21 of the experiment. On days 0 and 22 of the experiment，the sucrose preference test （SPT），forced swimming test （FST），and open field test （OFT） were performed. The pathological morphology of the hippocampal CA1 region was observed by Nissl staining. The relative mRNA expression of post-synaptic density protein-95 （PSD95） and synapsin （SYP） was detected by reverse transcription quantitative real-time polymerase chain reaction. Immunohistochemistry and Western blot were used to detect expression of proteins in the GLP-1/GLP-1r and PKA/CREB/BDNF pathways in the hippocampal CA1 region. ResultsAfter CRS modeling，compared with the normal group，the rats of the model group had anxiety and depression-like behavioral manifestations，neuronal damage in the hippocampal CA1 region，significantly downregulated expression of synaptic plasticity markers PSD95 and SYP genes （P<0.01），and inhibition of GLP-1/GLP-1r and PKA/CREB/BDNF signaling pathways （P<0.05，P<0.01）. Compared with the model group，the Xiaoyaosan group exhibited alleviated anxiety and depression-like behaviors，reduced neuronal damage in the hippocampal CA1 region， significantly increased expression of PSD95 and SYP genes （P<0.01），and the activation of the GLP-1/GLP-1r and PKA/CREB/BDNF signaling pathways （P<0.05，P<0.01）. ConclusionXiaoyaosan can alleviate anxiety and depression-like behaviors in CRS rats by improving synaptic plasticity in the hippocampal CA1 region. The mechanisms may be related to the activation of the GLP-1/GLP-1r pathway and its mediated PKA/CREB/BDNF signaling pathway by the formula.

[摘 要] 目的：探讨异位表达血红蛋白亚基（HBA/HBB）对缺氧条件下嵌合抗原受体T细胞（CAR-T细胞）功能障碍的改善作用及其对肿瘤细胞的杀伤效应。方法：全基因合成技术合成靶向HER2的CAR序列，构建共表达HBA或HBB的CAR慢病毒载体，包装慢病毒后感染人原代T淋巴细胞，制备异位表达HBA/HBB的CAR-T细胞，命名为HBA CAR-T和HBB CAR-T。采用缺氧探针检测小鼠实体瘤缺氧状态。通过流式细胞术检测瘤内CAR-T细胞占比、异位表达血红蛋白亚基的CAR-T细胞阳性率及CAR-T细胞的活性氧、凋亡水平。WB法检测HBA CAR-T和HBB CAR-T内相关血红蛋白亚基表达情况，采用细胞计数板计数检测细胞增殖水平，通过萤光素酶报告基因法检测CAR-T细胞对肿瘤细胞的杀伤能力，qPCR检测CAR-T细胞中缺氧诱导因子-1α（HIF-1α）表达水平，利用MitoXpress Intra试剂盒检测CAR-T细胞内氧气含量。结果：不同细胞构建的实体瘤模型均存在明显缺氧情况，且CAR-T细胞浸润水平与缺氧程度呈显著负相关（P < 0.000 1）。HBA CAR-T与HBB CAR-T构建成功（阳性率 > 60%），相应血红蛋白亚基可稳定表达。缺氧环境下HBA CAR-T和HBB CAR-T的ROS水平、凋亡水平显著下降，增殖、对肿瘤细胞的体外杀伤能力显著强于传统CAR-T细胞（均P < 0.05）。HBA CAR-T与HBB CAR-T内HIF-1α表达降低（均P < 0.001），且缺氧程度显著降低（均P < 0.001）。结论：异位表达血红蛋白亚基可改善缺氧条件下CAR-T细胞功能障碍并增强其对肿瘤细胞的体外杀伤作用。

ObjectiveThis study examined KCCQ symptom score trajectories during the vulnerable phase of heart failure and their association with readmission within 6 months. MethodsThis prospective cohort study included 1 109 patients hospitalized for chronic heart failure at a tertiary hospital in Nanchang， China， between August 2020 and July 2025. KCCQ scores were assessed at six time points： day 3 after admission， discharge， and 1， 2， 3， and 6 months after discharge. Group-based trajectory modeling was used to identify patterns of change in KCCQ scores. Multiple logistic regression was used to assess the association between trajectory membership and readmission risk. ResultsDuring follow-up， 229 patients were readmitted， accounting for 20.6% of the cohort. Four KCCQ trajectories were identified： persistently declining scores （n=228， 20.6%）， persistently improving scores （n=110， 9.9%）， stable intermediate scores （n=545， 49.1%）， and stable high scores （n=226， 20.4%）. Compared with the stable intermediate group， the persistently declining group had a higher risk of readmission in the fully adjusted model （OR=2.099， 95% CI： 1.027–4.315， P=0.043）， whereas the stable high-score group had a lower risk （OR=0.260， 95% CI： 0.127–0.494， P<0.001）. The association between the persistently improving trajectory and readmission was not statistically significant （OR=0.614， 95% CI： 0.306–1.154， P=0.147）. ConclusionsKCCQ symptom score trajectories during the vulnerable phase of heart failure show marked heterogeneity and are associated with readmission within 6 months. A persistently declining trajectory is associated with higher readmission risk， whereas a stable high-score trajectory is associated with lower risk. Longitudinal monitoring of KCCQ score changes may help inform post-discharge risk stratification and follow-up management in patients with heart failure.

ObjectiveThis study examined KCCQ symptom score trajectories during the vulnerable phase of heart failure and their association with readmission within 6 months. MethodsThis prospective cohort study included 1 109 patients hospitalized for chronic heart failure at a tertiary hospital in Nanchang， China， between August 2020 and July 2025. KCCQ scores were assessed at six time points： day 3 after admission， discharge， and 1， 2， 3， and 6 months after discharge. Group-based trajectory modeling was used to identify patterns of change in KCCQ scores. Multiple logistic regression was used to assess the association between trajectory membership and readmission risk. ResultsDuring follow-up， 229 patients were readmitted， accounting for 20.6% of the cohort. Four KCCQ trajectories were identified： persistently declining scores （n=228， 20.6%）， persistently improving scores （n=110， 9.9%）， stable intermediate scores （n=545， 49.1%）， and stable high scores （n=226， 20.4%）. Compared with the stable intermediate group， the persistently declining group had a higher risk of readmission in the fully adjusted model （OR=2.099， 95% CI： 1.027–4.315， P=0.043）， whereas the stable high-score group had a lower risk （OR=0.260， 95% CI： 0.127–0.494， P<0.001）. The association between the persistently improving trajectory and readmission was not statistically significant （OR=0.614， 95% CI： 0.306–1.154， P=0.147）. ConclusionsKCCQ symptom score trajectories during the vulnerable phase of heart failure show marked heterogeneity and are associated with readmission within 6 months. A persistently declining trajectory is associated with higher readmission risk， whereas a stable high-score trajectory is associated with lower risk. Longitudinal monitoring of KCCQ score changes may help inform post-discharge risk stratification and follow-up management in patients with heart failure.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective To construct a key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury, and provide a basis for the implementation of such treatment and nursing. Methods The draft of the key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury was determined by literature review, case study, and field investigation. The indicators of the system were determined through two rounds of Delphi consultation and using the precedence chart method. According to the criteria of indicator evaluation, the reliability of expert opinions, and the opinions of the research group, the indicators were refined and evaluated. Results Twenty experts were included for two rounds of consultation via mailed inquiries, with a 100% effective response rate in both rounds. The expert authority coefficients were both 0.945, and the Kendall’s W values were 0.347 and 0.448, respectively (P < 0.05). Following the expert consultations, 1 indicator was deleted, 12 indicators were added, and 6 indicators were modified. The key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury established in this study included 4 first-level indicators, 17 second-level indicators, and 73 third-level indicators. The means of importance assignment for all indicators were > 4.00, and the coefficients of variation were < 0.25. Conclusion The key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury established in this study is scientifically rigorous and practically grounded. The indicators demonstrate strong professional relevance and provide important guidance for in-hospital treatment and nursing of patients with nuclear radiation injury.

Objective To develop a risk assessment scale for immune checkpoint inhibitor (ICI)-associated myocarditis based on multidisciplinary collaboration, and to evaluate its diagnostic performance. Methods Based on multidisciplinary cooperation, integrating clinical experience from oncology and cardiology, literature data, and patient conditions, a risk assessment scale for ICI-associated myocarditis was developed. A total of 101 patients with malignancies who received immunotherapy at Zhongshan Hospital, Fudan University, from October 2020 to October 2024 were included as the validation cohort. Patients were stratified into low-risk (0-1 point), medium-risk (2-4 points), and high-risk (≥5 points) groups based on their scale scores. The association between pretictive risk stratifications and actual assessment results was assessed using the Cox proportional hazards regression model. The predictive value of the scale for ICI-associated myocarditis was evaluated using receiver operating characteristic (ROC) curve. Agreement between the scale scores and actual assessment results was assessed using Cohen’s Kappa coefficient. Results Based on the scale pretictive results, 28(27.7%), 8(7.9%), 65(64.4%) patients were at low risk, medium risk, and high risk for ICI-related myocarditis, respectively; however, 46(45.5%), 8(7.9%), 47(46.5%) were at low risk, medium risk, and high risk actually. Kaplan-Meier survival analysis showed that the cumulative incidence of ICI-related myocarditis in the high-risk group was significantly higher than that in the medium- and low-risk groups (P＜0.05). In the multivariable-adjusted Cox proportional hazards model, the ICI-related myocarditis risk in high-risk group was about 4 times that in the low-risk group. ROC curve analysis demonstrated that the average area under the curve (AUC) for predicting ICI-related myocarditis was 0.81, with an accuracy of 0.74. The Cohen’s Kappa coefficient was 0.55, indicating moderate agreement. In the actual high-risk group, no patient was predicted to be at low risk; in the actual low-risk group, 16 patients were predicted to be at high risk. Conclusions This risk assessment scale for ICI-associated myocarditis shows high predictive performance. It provides oncologists with a simple yet effective multidisciplinary diagnostic reference tool, potentially enhancing early identification of ICI-associated myocarditis.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

OBJECTIVE To investigate the differential expression of CXC chemokine receptor 1(CXCR1)in chronic rhinosinusitis(CRS)and its correlation with neutrophil infiltration.METHODS A total of 60 CRS patients with nasal polyps(CRSwNP group),30 CRS patients without nasal polyps(CRSsNP group),and 30 patients with deviated nasal septum(control group)were enrolled in this study.ELISA,immunohistochemistry,and reverse transcription polymerase chain reaction were employed to measure CXCR1 expression levels.Correlation analysis was conducted to evaluate the relationship between CXCR1 expression,neutrophil infiltration,and clinical symptom scores.RESULTS CXCR1 was highly expressed in both tissues and serum of CRSwNP patients.Serum CXCR1 levels showed positive correlations with peripheral blood neutrophil counts(r=0.363,P=0.004 4),neutrophil percentage(r=0.323,P=0.011 7),visual analog scale(VAS)score(r=0.328,P=0.010 5),Lund-Kennedy endoscopic score(r=0.331,P=0.009 9),and Lund-Mackay CT score(r=0.262,P=0.045 0).Tissue CXCR1 levels were positively correlated with tissue neutrophil counts(r=0.506,P=0.011 6)and percentage(r=0.564,P=0.004 1).CONCLUSION CXCR1 is highly expressed in CRSwNP patients,and its expression level is positively correlated with the degree of neutrophil infiltration and clinical symptom scores.Higher CXCR1 levels are associated with increased neutrophil migration in both serum and tissues,as well as more severe clinical symptoms.

The concept of "spirit" in traditional Chinese medicine （TCM） aligns closely with "the liver governs the designing of strategy". By exploring the relationship between the liver and executive function decline， it is proposed that prolonged liver constraint leads to indecisiveness in strategy designing， which is the initiating factor for executive function decline； liver blood deficiency causes difficulties in executing strategy， which forms an essential foundation for the progression of executive function decline； obstruction in the "liver-du mai-brain" pathway leads to unclear strategy designing， which accelerates executive function decline. This relationship is examined from the perspectives of TCM， modern medicine， and cognitive psychology， aiming to provide insights into addressing executive function decline through treatments focused on the liver.