ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Objective To establish the method of thin layer chromatography （TLC） for identification and content quantitative determination of Shugantongluo capsules, and provide methodological reference for the quality control of Shugantongluo capsules. Methods Bupleuriradix, polygala tenuifolia yuanzhi, and acorus tatarinowii rhizoma were identified by TLC qualitatively. The content of Saikosaponin-a was determined by HPLC method. The chromatography was performed on Venusil XBP C₁₈（L） （4.6 mm×150 mm, 5 μm） with a stable temperature of 30℃. The mobile phase in isocratic elution consisted of acetonitrile-water （40∶60, V/V） at the flow rate of 1.0 ml/min with an injection volume of 20 μl. The detection wavelength was set at 210 nm. Results Clear spots were obtained with good separation in TLC identification which was highly specific. The Saikosaponin-a at the range of 25.00-500.0 μg/ml was linear with peak area （r=0.999 9）, the average recovery rate was 97.00%, and RSD was 2.60%. Conclusion These methods was easy to operate with accurate results, with good specificity and reproducibility, which could be uesd for the quality control for Shugantongluo capsules.

AIM: To investigate the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters in patients with hypertensive retinopathy(HRP).METHODS: A total of 50 patients(22 left eyes and 28 right eyes)with HRP admitted to our hospital from June 2021 to June 2023 were retrospectively included as the experimental group, and 50 healthy physical examination subjects(22 left eyes and 28 right eyes)during the same period were included as the healthy group. Pearson correlation was used to analyze the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters.RESULTS: The AUC values of fundus blood flow parameters and carotid artery ultrasound blood flow parameters and their combined diagnosis of HRP were 0.853, 0.844 and 0.935, respectively. Pearson correlation analysis showed that carotid systolic peak blood flow velocity was negatively correlated with foveal avascular zone(FAZ)area, FAZ circumference and non-circularity index, and positively correlated with macular vascular density(all P<0.05). The end-diastolic blood flow velocity was positively correlated with FAZ area and macular vascular density(all P<0.05). The internal carotid artery resistance index was positively correlated with FAZ area(P<0.05).CONCLUSION: The combination of fundus blood flow parameters and carotid artery ultrasound blood flow parameters in the diagnosis of HRP has good application value in the diagnosis of HRP.

With the rapid development of population aging in various countries around the world,the health and elderly care industry has been paid high attention.The standardization of smart health and elderly care technology and services is particularly important.This paper firstly reviewed the policies related to healthy elderly care in China.By analyzing the industrial standards and provincial standards issued,this paper focused on the policies proposed by the Shanghai Municipal Government for the standardization of smart health and elderly care,as well as the researches on the standard system and the construction of standard families.Shanghai group standards in the field of smart health and elderly care were summarized,including the guidelines for the construction of standard systems,elderly care service platforms,community elderly cafeterias,portable health monitoring terminals,indoor sports services,and home-based elderly care safety monitoring.A series of case analyses of the standardized implementation of the above aspects were also provided.Through standardization research and practice in recent years,it has been fully demonstrated that the standard research plays an important leading role in the field of smart health and elderly care.

Objective To investigate the rehabilitation efficacy of Beckman oral-motor training combined with auditory integration training(AIT)in children with language development delay.Methods A total of 118 children diagnosed with language development delay were enrolled in this study,and randomly assigned to auditory training group or combined training group,with 59 cases in each group.Children in the auditory training group received AIT,while those in the combined train-ing group underwent Beckman oral-motor training combined with AIT.The clinical efficacy,intellec-tual development,language ability,oral motor function,articulation ability,and serum neurotrophic factor levels of the two groups were observed and compared.Results After treatment,the overall ef-fective rate in the combined training group was 93.22％(55/59),which was significantly higher than 79.66％(47/59)in the auditory training group,with a statistically significant difference(P＜0.05).Following treatment,the scores of intellectual development,language ability,oral motor function,and articulation ability,as well as the serum levels of brain-derived neurotrophic factor(BDNF)and nerve growth factor(NGF)in both groups were elevated compared to the pre-treatment levels.Moreover,these parameters in the combined training group were superior to those in the audi-tory training group,and the differences were statistically significant(P＜0.05).Conclusion Beck-man oral-motor training combined with AIT can enhance the rehabilitation outcome in children with language development delay,improving their speech function,intellectual development,oral motor function,articulation ability,and serum neurotrophic factor levels.

Catheter-based percutaneous coronary intervention has become a crucial approach for treating obstructive coronary artery disease and is widely applied in clinical practice.Although the new generation of drug-eluting stents(DES)has significantly reduced the incidence of post-procedur-al restenosis and improved long-term clinical outcomes,in-stent restenosis(ISR)remains one of the key challenges affecting the long-term efficacy of percutaneous coronary intervention.Recent studies have demonstrated that DES still have certain inherent limitations.From the metallic stent platform,drug coating to the polymer carrier,each component may exert varying degrees of biological effects on the vascular intima.Optical coherence tomography(OCT),as a high-resolution intravascular imaging technique,has shown significant value in the mechanism research,etiological diagnosis,and clinical classification of ISR.It can clearly identify the tissue composition and morphological characteristics of ISR,providing a precise basis for the formulation of individualized treatment strategies.This review aimed to systematically search the existing literature,comprehensively review the clinical and patho-logical features of ISR after DES implantation,focus on the OCT-based ISR classification system,and summarize the current treatment strategies and latest advances for ISR.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective To investigate the clinical advantages and safety of an acupoint auto-positioning moxibustion robot combined with massage techniques in the treatment of lumbar disc herniation.Methods Totally 114 patients with lumbar disc herniation treated between June 2021 and December 2023 at Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Shanghai University of Traditional Chinese Medicine,the Outpatient Department of Rehabilitation Medicine,Changhai Hospital and Shanghai Third Rehabilitation Hospital were divided into control group and experimental group with random number table method,with 57 cases in each group.The control group received conventional moxibustion combined with massage techniques,while the experimental group was treated using an acupoint auto-positioning moxibustion robot combined with massage techniques.Both groups underwent treatment once every three days,totaling 10 sessions over one month.Clinical efficacy was observed between the two groups by comparing pre-treatment and post-treatment(after 3,6 and 10 sessions)scores on the visual analogue scale(VAS)for pain,the Japanese Orthopaedic Association(JOA)lower back pain score,and lumbar range of motion(LROM).Adverse reactions during the intervention were recorded.Satisfaction with the moxibustion robot in the experimental group was assessed using a Likert scale.Additionally,20 healthy subjects were recruited to evaluate the accuracy of the robot's acupoint auto-positioning function.Results The overall effective rate was 91.23%(52/57)in the experimental group and 94.74%(54/57)in the control group,without statistical significance between the two groups(P>0.05).Compared to pre-treatment,both groups showed significant improvements in VAS scores,JOA scores and LROM across all measured directions after 3,6,and 10 treatment sessions(P<0.001).In the Likert scale assessment,86.96%of subjects agreed that the device was convenient to use,87.72%agreed that the device was safer than conventional moxibustion therapy,and 94.74%were willing to recommend the device to other patients.The accuracy evaluation of the acupoint auto-positioning moxibustion robot demonstrated that the average deviation between robot-positioned acupoints and standard acupoints was(1.68±0.46)mm,achieving a positioning accuracy rate exceeding 95%.No adverse reactions were reported during the intervention.Conclusion The combination of an acupoint auto-positioning moxibustion robot with massage techniques is as effective as conventional moxibustion combined with massage techniques in improving clinical symptoms,alleviating pains,enhancing lumbar function and increasing lumbar mobility in patients with lumbar disc herniation.Participants have exhibited a high willingness to use the device,and the robot achieved a high accuracy rate in acupoint positioning.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.