ObjectiveGliomas in the motor functional area can damage the corticospinal tract (CST), leading to motor dysfunction. Currently, there is a lack of unified methods for evaluating the extent of CST damage, especially in patients with high surgical risk where the minimum distance from the lesion to the CST is less than 10 mm. This study aims to further clarify the classification method and clinical significance of CST morphological changes in these patients. MethodsThis retrospective study analyzed 109 high-risk functional area glioma patients who underwent neurosurgical treatment with preoperative diffusion tensor imaging (DTI) imaging and intraoperative neurostimulation guidance between 2014 and 2024. All patients had a lesion-to-tract distance (LTD) of less than 10 mm between the CST and the lesion. Preoperative DTI evaluation of CST involvement-induced morphological changes were reviewed. Patients were divided into 3 groups: 17 cases (15.6%) with symmetric CST morphology compared to the healthy side (CST symmetry), 48 cases (44.0%) with significant CST morphology changes compared to the healthy side (CST deformation), and 44 cases (40.4%) with CST overlap with the tumor (CST overlap). Then we classified patients according to preoperative assessment of tumor-induced morphological changes, and analyze postoperative motor function for each category. ResultsPostoperative pathology showed a significantly higher proportion of high-grade gliomas (HGG) in the CST overlap group compared to the other two groups (P=0.001). Logistic regression analysis showed that CST overlap was a predictor of HGG (P=0.000). The rate of total tumor resection in the CST deformation group and overlap group was lower than in the CST symmetric group (P=0.008). There was a total of 41 postoperative hemiplegic patients, with 4 cases (23.5%) in the CST symmetric group, 11 cases (22.9%) in the CST deformation group, and 26 cases (59.1%) in the CST overlap group. CST overlap with the tumor predicted postoperative hemiplegia (P=0.016). Two-way ANOVA analysis of the affected/healthy side and CST morphology groups showed significant main effects of CST grouping and healthy-affected side (P=0.017 and P=0.010), with no significant interaction (P=0.31). The fractional anisotropy (FA) value in the CST overlap group and the affected side was lower. A decrease in the FA value on the affected side predicted postoperative hemiplegia (sensitivity 69.2%, specificity 71.9%). ConclusionWe have established a method to predict postoperative hemiplegia in high-risk motor functional area glioma patients based on preoperative CST morphological changes. CST overlap leads to a decrease in CST FA values. This method can be used for precise patient management and aid in accurate preoperative surgical planning.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

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 molecular mechanism of a novel bromobenzene substituted trifluoromethylbenzo Cyclopentanone WW02 inhib-iting the viability and proliferation of human lung cancer A549 and H1299 cells.METHODS:The ef-fect of different concentrations of WW02(6.25,12.5,25,50 μg/mL)on cell viability and prolifera-tion of A549 and H1299 were measured using CCK-8 and EdU methods.After 24 hours of stimulation of A549 and H1299 cells with different concentra-tions of WW02,the changes in Akt and mTOR phos-phorylation levels under different concentrations of WW02 were detected through Western blot as-say.Macromolecular docking was carried out be-tween WW02,AKT and mTOR through MOE Dock.RESULTS:After treating A549 and H1299 cells with WW02 using different concentrations(6.25,12.5,25,50 μg/mL),the activity of A549 and H1299 cells decreased in a concentration dependent manner compared with the DMSO control group(P<0.05).The proliferation of cells showed a concentration dependent decrease compared to the DMSO con-trol group(P<0.05).Compared with the DMSO con-trol group,after 24 hours of WW02 stimulation,the phosphorylation levels of Akt and mTOR in A549 cells decreased under the concentration of WW02(12.5,25,50 μg/mL,P<0.05).Compared with the DMSO control group,the phosphorylation levels of Akt and mTOR in H1299 cells decreased af-ter 24 hours of WW02 stimulation(25,50 μg/mL,P<0.05).Based on pattern analysis,it was found that WW02 had a strong binding with Akt and mTOR,with the highest score of-8.3 kcal/mol for WW02 and mTOR,while the highest score for WW02 and Akt was-7.3 kcal/mol.CONCLUSION:WW02 inhib-its the activity and proliferation of lung cancer A549 and H1299 cells,and its mechanism of action may be achieved by directly binding to Akt and mTOR proteins to inhibit Akt and mTOR phosphory-lation.

Objective:To investigate the effect of progression of disease within 24 months(POD24)on overall survival(OS)in patients with mantle cell lymphoma(MCL),and compare the clinical characteristics between POD24 and non-POD24 patients.Methods:A retrospective analysis was performed on 50 MCL patients with treatment indications and regular treatment who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to August 2020.According to the occurrence of POD24,the patients were grouped for prognostic evaluation and clinical characteristics comparison.Results:Univariate Cox regression analysis showed that POD24,PLT,albumin,MIPI score,ECOG PS score,LDH were the factors influencing OS in newly diagnosed MCL patients(all P＜0.05).The results of multivariate Cox regression analysis showed that POD24[HR=16.797(95％CI:3.671-76.861),P＜0.001],albumin＜40 g/L[HR=3.238(95％CI:1.095-9.572),P=0.034]and ECOG PS score≥2[HR=4.005(95％CI:1.033-15.521),P=0.045]were independent risk factors influencing OS in MCL patients.The incidence of PLT＜100 × 109/L(33.3％vs 5.9％,P=0.033)and ECOG PS score≥2(45.5％vs 5.9％,P=0.040)were significantly higher in POD24 patients than those in non-POD24 patients.Conclusion:POD24 is an independent poor prognostic factor affecting the OS of MCL patients,and the patients with PLT＜100 × 109/L and ECOG PS score ≥2 at diagnosis have a higher probability of POD24.

Objective:To investigate the effect of endothelial activation and stress index(EASIX)on the prognosis of patients with angioimmunoblastic T-cell lymphoma(AITL)and peripheral T-cell lymphoma,not otherwise specified(PTCL-NOS),and to compare the clinical characteristics of patients in the low EASIX and high EASIX groups.Methods:The clinical data of 59 newly diagnosed AITL and PTCL-NOS patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to September 2021 were retrospectively analyzed.The optimal cut-off value of EASIX was determined by receiver operating characteristic(ROC)curve;The chi-square test was used to analyze the correlation between EASIX and clinical features of patients with AITL and PTCL-NOS;The Kaplan-Meier survival curve was used to analyze the overall survival(OS)and progression-free survival(PFS)of the patients;Univariate and multivariate analyses were performed by using Cox proportional hazards model.Results:The optimal cut-off value of EASIX was 0.95,based on which the patients were divided into a low EASIX(＜0.95)group and a high EASIX(≥ 0.95)group.Compared with the low EASIX group,the high EASIX group had a higher proportion of patients with advanced Ann Arbor stage,higher risk according to IPI,elevated LDH,hypoproteinemia,anemia,B symptoms,extranodal involvement,and bone marrow involvement.Survival analysis showed that the OS and PFS of patients in the high EASIX group were significantly shorter than those in the lower EASIX group(P＜0.001).The multivariate analysis showed that EASIX was an independent risk factor for OS[HR=7.217(95％CI:1.959-26.587),P=0.003]and PFS[HR=2.718(95％CI:1.032-7.161),P=0.043]of PTCL patients.Conclusion:High EASIX in newly diagnosed patients with AITL and PTCL-NOS suggests a poor prognosis,and high EASIX is a risk factor affecting prognosis of the patients.

Objective:To investigate the effects of ATG5 and ATG7 genes on the sensitivity of multiple myeloma(MM)cell line RPMI-8226 cells to ferroptosis.Methods:CRISPR/Cas9 technology was used to knock out the autophagy key genes ATG5 and ATG7 in RPMI-8226 cells.Western blot was used to identify gene knockout cells,and detect the expression changes of autophagy-related proteins P62 and LC3B.Flow cytometry was used to detect the change of sensitivity of gene knockout cells to RSL3.The content of intracellular ferrous ions and reactive oxygen species(ROS)level in gene knockout cells were detected.Results:Western blot result confirmed that ATG5 and ATG7 genes were knocked out successfully in RPMI-8226 cells.The result of flow cytometry showed that the cell viability of RPMI-8226 cells was dose-dependent on different concentrations of RSL3(r=-0.969).RSL3(10 μmol/L)was used to induce ferroptosis in cells of control group and gene knockout groups,then the cell viability in gene knockout groups were both higher than control group after 48 hours(both P＜0.001).After knocking out the ATG5 and ATG7 genes,the content of intracellular Fe2+decreased significantly compared with control group(both P＜0.01),and the ROS level also decreased(both P＜0.001).Conclusion:Knockout of ATG5 and ATG7 genes can inhibit the ferroptosis of MM cells,and LAP pathway may be involved in the regulation.

Objective:This study evaluates the accessibility and equity of healthcare resources in deep mountain,shallow mountain,and plain suburban areas,taking Huairou,Mentougou,and Tongzhou districts of Beijing as examples,to identify factors contributing to the imbalance in resource allocation.Methods:Accessibility of healthcare services in the sample areas was measured using village-level health survey data and the Two-Step Floating Catchment Area(2SFCA)method.Equity of resource allocation was assessed using the Gini coefficient among other methods.Factors influencing imbalance were identified using the Geodetector and Spatial Lag Model.Results:The average accessibility scores for Huairou,Mentougou,and Tongzhou were 202.06,179.68,and 187.02,respectively.The Gini coefficients were 0.48,0.37,and 0.24,respectively.GDP,population density,and altitude were significant factors affecting accessibility.Conclusions and Suggestions:In Beijing,both plain and mountainous rural areas exhibited a spatial clustering of healthcare accessibility,higher near the city and lower in the suburbs,with plains performing better than mountains.Healthcare equity was ranked as plains>shallow mountains>deep mountains.Policies covering full healthcare services improved equity.It is recommended to strengthen the construction of village healthcare facilities and medical teams,improve the linkage of medical services at all rural levels,and enhance the willingness of villagers to seek primary care.Furthermore,gradual improvement of transportation and internet infrastructure is suggested to enhance the accessibility of online and offline medical services for villagers.

Objective　To perform the pathogenic and genomics analyses on isolates of Streptococcus suis (Ss) from three human infections in Shenzhen, aiming to provide a basis for the prevention and control of Ss outbreaks. Methods　The suspected bacterial strains from three blood plate cultures of three critically ill patients in three hospitals were subjected to biochemical identification, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), and real-time fluorescent PCR identification, resulting in the identification of three strains positive for Streptococcus suis serotype 2(SS2). Pure positive cultures were taken for an antimicrobial susceptibility test and extracted nucleic acids for whole-genome sequencing and analysis. The whole-genome sequencing and analysis included species identification, antibiotic resistance genes alignment, multilocus sequence typing (MLST), virulence genes alignment, and coregene-based phylogenetic tree analysis. Results　The blood agar isolates from three patients were all identified as Ss, the VITEK 2 identified them as SS2, and MALDI-TOF-MS identified them as Ss. Real-time PCR results for the universal gene gdh and serotype 2 cps2 gene of Ss were both positive. The antimicrobial susceptibility test results showed that all three strains were resistant to erythromycin and clindamycin, with variable sensitivity to tetracycline. Whole-genome sequencing results showed that all three strains were identified as Ss, including one ST7 strain and two ST1 strains. The virulence gene prediction results based on the VFDB database showed that all three strains were positive for mrp, sly, and cps, indicating high virulence gene characteristics. The analysis of the phylogenetic tree based on coregene showed that the three strains were in different evolutionary branches, with two ST1 strains having a closer evolutionary distance. Conclusions　The pathogens responsible for these three critically ill patients were SS2, and all three strains were resistant to erythromycin and clindamycin. Genetically, they all carried virulence genes that are found in highly virulent strains, while showed differences in MLST typing and phylogenetic tree analysis, indicating the presence of different genotypes of high pathogenicity SS2 in Shenzhen area and had caused sporadic cases, which requires high attention.

AIM To study the chemical constituents from n-butanol fraction of Corydalis impatiens(Pall.)Fisch.and their antioxidant activities.METHODS The n-butanol fraction was isolated and purified by silica gel,MCI,ODS,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activities were determined by DPPH method and tyrosinase method.RESULTS Fourteen compounds were isolated and identified as nicotinamide(1),methyl L-pyroglutamate(2),bungeanoline F(3),monomethyl fumarate(4),5-hydroxymethylfurfural(5),4-hydroxybenzoic acid(6),hydroxybenzoate(7),methyl 3,4-dihydroxybenzoate(8),methyl ferulate(9),dimethylcaffeic acid(10),dimethyl feruloyl malate(11),(-)-4-O-feruloylquinic acid(12),syringaresinol(13)and(-)-loliolide(14).Compounds 1,8,11 and 13 showed strong antioxidant activites on DPPH free radicals,with IC50 values ranging from 54.47 to 97.4 μmol/L.Compound 13 had potential inhibitory effect on tyrosinase.CONCLUSION Compounds 4-14 are first isolated from Corydalis genus,and 3 is isolated from this plant for the first time.Compounds 1,8,11 and 13 have strong antioxidant activities.