Purpose: Plasmablastic lymphoma (PBL) is a rare, aggressive lymphoma that is characterized by terminal B-cell differ‑ entiation. In the West, PBL usually occurs in patients with immunodeficiencies, particularly those induced by human immunodeficiency virus (HIV) infection. We investigated the clinicopathological features of PBL at a single institute in Taiwan, where HIV infection is rare. Methods: This retrospective chart review identified PBL cases that were treated at a single institute in southern Tai‑ wan between 2008 and 2024. Results: We identified nine patients (four males and five females; median age 71 years). Of the eight patients tested for HIV, only one tested positive. Pathologically, the tumors showed plasmablastic morphology and immunopheno‑ type, and three (33%) cases tested positive for Epstein–Barr virus. Six (67%) patients presented with Stage IV disease, including five (56%) with malignant effusion. Six patients were treated with chemotherapy and the remaining three received only supportive care. During a median follow-up of 10 months, five patients died of progressive disease, two died of unrelated diseases, and two were alive with PBL relapse. Conclusion In Taiwan, PBL constitutes a rare and aggressive clinical condition and is frequently associated with malignant effusion. In contrast to Western patients, the PBL in most patients from Taiwan was unrelated to HIV infection.

Purpose: Plasmablastic lymphoma (PBL) is a rare, aggressive lymphoma that is characterized by terminal B-cell differ‑ entiation. In the West, PBL usually occurs in patients with immunodeficiencies, particularly those induced by human immunodeficiency virus (HIV) infection. We investigated the clinicopathological features of PBL at a single institute in Taiwan, where HIV infection is rare. Methods: This retrospective chart review identified PBL cases that were treated at a single institute in southern Tai‑ wan between 2008 and 2024. Results: We identified nine patients (four males and five females; median age 71 years). Of the eight patients tested for HIV, only one tested positive. Pathologically, the tumors showed plasmablastic morphology and immunopheno‑ type, and three (33%) cases tested positive for Epstein–Barr virus. Six (67%) patients presented with Stage IV disease, including five (56%) with malignant effusion. Six patients were treated with chemotherapy and the remaining three received only supportive care. During a median follow-up of 10 months, five patients died of progressive disease, two died of unrelated diseases, and two were alive with PBL relapse. Conclusion In Taiwan, PBL constitutes a rare and aggressive clinical condition and is frequently associated with malignant effusion. In contrast to Western patients, the PBL in most patients from Taiwan was unrelated to HIV infection.

Purpose: Plasmablastic lymphoma (PBL) is a rare, aggressive lymphoma that is characterized by terminal B-cell differ‑ entiation. In the West, PBL usually occurs in patients with immunodeficiencies, particularly those induced by human immunodeficiency virus (HIV) infection. We investigated the clinicopathological features of PBL at a single institute in Taiwan, where HIV infection is rare. Methods: This retrospective chart review identified PBL cases that were treated at a single institute in southern Tai‑ wan between 2008 and 2024. Results: We identified nine patients (four males and five females; median age 71 years). Of the eight patients tested for HIV, only one tested positive. Pathologically, the tumors showed plasmablastic morphology and immunopheno‑ type, and three (33%) cases tested positive for Epstein–Barr virus. Six (67%) patients presented with Stage IV disease, including five (56%) with malignant effusion. Six patients were treated with chemotherapy and the remaining three received only supportive care. During a median follow-up of 10 months, five patients died of progressive disease, two died of unrelated diseases, and two were alive with PBL relapse. Conclusion In Taiwan, PBL constitutes a rare and aggressive clinical condition and is frequently associated with malignant effusion. In contrast to Western patients, the PBL in most patients from Taiwan was unrelated to HIV infection.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Aim To investigate the effect of cinobufo-talin(CB)on the small ubiquitin-like modifier(SU-MO)modification of hypoxia inducible factor 1 alpha(HIF1α)on ferroptosis of gastric cancer cells.Meth-ods Human normal gastric mucosal epithelial cells(GES-1)and gastric cancer cells(MGC803)were treated with various concentrations of CB.MTT assay was employed to determine cell viability and calculate the IC50 value of CB in gastric cancer cells.Cell inva-sion was evaluated using Transwell assay.Cancer cells were subjected to treatment with ferroptosis agonists(erastin)or inhibitors(ferrostatin-1)to assess the levels of lipid reactive oxygen species(ROS),malon-dialdehyde(MDA),cell apoptosis,intracellular total iron,and Fe2+in gastric cancer cells.Western blot a-nalysis was conducted to detect the expression of SU-MO1 and HIF1α,while immunoprecipitation(IP)was utilized to investigate the interaction between SUMO1 and HIF1 α.An allograft tumor model was established and treated with CB or erastin to assess the impact of CB on tumor growth and ferroptosis in gastric cancer cells in vivo.Results CB at concentrations below 2μmol·L-1 had no impact on the viability of GES-1 cells.Compared to the control group,CB treatment dose-dependently inhibited the viability and invasion of MGC803 cells.CB treatment increased the levels of lipid reactive oxygen species(ROS),malondialdehyde(MDA),total iron,and Fe2+in gastric cancer cells,and promoted cell apoptosis(all P＜0.05),compared to the control group.The combination of CB and eras-tin enhanced ferroptosis,while ferrostatin-1 treatment suppressed CB-induced ferroptosis in gastric cancer cells.Mechanistically,CB inhibited the expression of SUMO1,reduced the SUMOylation of HIF1α,and consequently suppressed its expression.The ferroptosis induced by CB in gastric cancer cells could be reversed by overexpression of SUMO1.In vivo experiments con-firmed that CB inhibited tumor growth and induced fer-roptosis in gastric cancer cells.Conclusion CB in-duces ferroptosis in gastric cancer cells by inhibiting the SUMOylation modification of HIF1α.

Aim To study the effect of salidroside combined with rosavin on ischemic stroke in rats.Methods The model of MCAO was established by u-sing thread-embolic method.The rats were divided into the sham group,MCAO group,salidroside combined with rosavin group,positive control group,and the drug was given continuously for seven days.The infarct volume was measured by MRI and neurological deficit score was evaluated by Zea-Longa.The levels of Ne-uN,BDNF,TGF-β1,p-Smad were observed by West-ern blot and immunofluorescence staining.The expres-sions of IL-1β,TNF-α and IL-6 were performed by RT-qPCR/ELISA.The primary cortical neurons were isolated,OGD/R inducted,divided into the normal group,OGD/R group,salidroside combined with rosa-vin group,and TGF-β1 inhibitor+salidroside com-bined with rosavin group,the drug was given for 24 hours,and the expressions of NeuN,BDNF,IL-1β,TNF-α and IL-6 were measured.Results Salidroside combined with rosavin could decrease the infarct vol-ume,improve the neurological function,promote the levels of Neun,BDNF,TGF-β1,p-Smad,and inhibit the expressions of IL-1β,TNF-α and IL-6.Salidroside combined with rosavin could promote NeuN,BDNF,inhibit IL-1β,TNF-α,IL-6 in primary nerve cells in-duced by OGD/R,and these effects were blocked by TGF-β1 inhibitor.Conclusions Salidroside combined with rosavin has neuroprotective effects on MCAO rats,and primary neurons are induced by OGD/R,and these effects are closely related to the TGF-β pathway.

Objective:This study aims to develop a validated instrument for assessing the degree of integration perceived by patients in the services provided by general practitioner(GP)teams,and to evaluate the current state of integrated medical-prevention services.Methods:The survey tool was initially created through a review of existing literature and semi-structured interviews.It was subsequently refined and enhanced following consultations with experts.The utility of the instrument was confirmed through empirical research,which also facilitated an analysis of the status quo regarding the integration of medical and prevention services.Results:The devised instrument encompasses 18 items distributed across six dimensions:service comprehensiveness,service continuity,depth of service,continuity of relationship,patient-centricity,and service coordination.The cumulative score reflecting patients'perception of the integration level in GP teams'medical-prevention services was 54.30±12.45.Conclusion:The survey instrument developed in this research is characterized by its rationality,novelty,and practical relevance.It offers a patient-centered perspective for assessing the quality of integrated medical and prevention services for primary chronic diseases.While the overall perception of integration among patients is positive,there is a notable deficiency in the depth of services provided.There is a need for optimization of the service process,clarification of the service path,refinement of service management,and development of an integrated incentive mechanism for medical and preventive care,aiming for a deeper integration between medical services and preventive care.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: Danshensu, a phenylpropanoid compound, is derived from the dry root and rhizome of Danshen (Salvia miltiorrhiza), a traditional Chinese medicinal herb. Evidence suggests that danshensu protects isolated rat hearts against ischemia/reperfusion injury by activating the protein kinase B (Akt)/extracellular signal-regulated kinase (ERK) pathway or by inhibiting autophagy and apoptosis through the activation of mammalian target of rapamycin (mTOR) signaling. Furthermore, danshensu promotes the postischemic regeneration of brain cells by upregulating the expression of brain-derived neurotrophic factor (BDNF) in the peri-infarct region. However, basic and clinical studies are needed to investigate the antidepressant effects danshensu and determine whether brain mTOR signaling and BDNF activation mediate these effects. The aforementioned need prompted us to conduct the present study. Methods: Using a C57BL/6 mouse model, we investigated the antidepressant-like effects of danshensu and the mechanisms that mediate these effects. To elucidate the mechanisms, we analyzed the roles of Akt/ERK–mTOR signaling and BDNF activation in mediating the antidepressant-like effects of danshensu. Results: Danshensu exerted its antidepressant-like effects by activating the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) of Akt/ERK–mTOR signaling and promoting BDNF release. Treatment with danshensu increased the level of glutamate receptor 1 phosphorylation at the protein kinase A site. Conclusion Our study may be the first to demonstrate that the antidepressant effects of danshensu are dependent on the activation of the AMPAR–mTOR signaling pathway, are correlated with the elevation of BDNF level, and facilitate the insertion of AMPAR into the postsynaptic membrane. This study also pioneers in unveiling the potential of danshensu against depressive disorders.

Objective To investigate the risk factors for complications within 1 year after carotid artery stenting(CAS),construct a prediction model for these complications based on the identi-fied risk factors,and then validate the efficacy of the model.Methods A retrospective trial was conducted on 313 patients undergoing CAS in our hospital between January 2017 and December 2021.Based on the sequence of postoperative follow-up visits,these patients were categorized into a modeling group(235 cases)and a validation group(78 cases)in a ratio of 3∶1,and the patients of the modeling group was further assigned into non-complication(182 cases)and complication subgroups(53 cases).The general data were compared between the modeling and balidation groups,and univariate and multivariate logistic regression analyses were applied to identify risk factors for the risk factors for the complications,and then a prediction model was constructed using logistic scoring.ROC curve analysis was employed to evaluate the performance of the model by using AUC value.Results Multivariate logistic regression analysis revealed that non-compli-ance with antiplatelet medication(OR=65.656,95％CI:12.052-357.683,P=0.000),and abnor-mal BMI(OR=2.298,95％CI:1.023-5.163,P=0.044),cigarette history(OR=5.965,95％CI:2.527-14.079,P=0.000),and high LDL-C(OR=6.290,95％CI:1.828-21.645,P=0.004)were independent risk factors for complications occurrence within 1 year after CAS surgery.The AUC value was 0.827 for the modeling group and 0.806 for the validation group.Conclusion Non-com-pliance to antiplatelet medication,abnormal BMI,smoking history,and high LDL-C level are inde-pendent risk factors for complications occurrence within 1 year after CAS.Our developed ABCD risk prediction model demonstrates good discrimination and accuracy,and can provide valuable guid-ance for the early identification and prevention of complications following CAS surgery in clinical practice.