ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

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.

Sodium ; Wastewater ; Potassium ; Diet ; Blood Pressure ; China ; Sodium, Dietary ; Sodium Chloride, Dietary

Polysaccharides, predominantly extracted from traditional Chinese medicinal herbs such as Lycium barbarum, Angelica sinensis, Astragalus membranaceus, Dendrobium officinale, Ganoderma lucidum, and Poria cocos, represent principal bioactive constituents extensively utilized in Chinese medicine. These compounds have demonstrated significant anti-inflammatory capabilities, especially anti-liver injury activities, while exhibiting minimal adverse effects. This review summarized recent studies to elucidate the hepatoprotective efficacy and underlying molecular mechanisms of these herbal polysaccharides. It underscored the role of these polysaccharides in regulating hepatic function, enhancing immunological responses, and improving antioxidant capacities, thus contributing to the attenuation of hepatocyte apoptosis and liver protection. Analyses of molecular pathways in these studies revealed the intricate and indispensable functions of traditional Chinese herbal polysaccharides in liver injury management. Therefore, this review provides a thorough examination of the hepatoprotective attributes and molecular mechanisms of these medicinal polysaccharides, thereby offering valuable insights for the advancement of polysaccharide-based therapeutic research and their potential clinical applications in liver disease treatment.
Humans ; Drugs, Chinese Herbal/pharmacology* ; Liver Diseases/drug therapy* ; Antioxidants ; Polysaccharides/therapeutic use* ; Medicine, Chinese Traditional

Objective To investigate the clinical efficacy of transjugular intrahepatic portosystemic shunt(TIPS)combined with indwelling catheter-directed thrombolysis for the treatment of portal vein thrombosis(PVT).Methods The clinical efficacy of 307 patients with portal hypertension complicated by PVT,who received successful TIPS combined with indwelling catheter-directed thrombolysis at the Affiliated Beijing Shijitan Hospital of Capital Medical University of China between January 2016 and December 2019,were retrospectively analyzed.Before and after TIPS,the inferior vena cava pressure(IVCP)and portal vein pressure(PVP)were measured,and the pre-TIPS,post-TIPS(before thrombolysis),and post-thrombolysis portal pressure gradient(PPG,PPG=PVP-IVCP)was separately calculated.Reexamination of portal venography DSA was performed to determine the degree of PVT disappearance and whether the shunt was unobstructed.All patients were followed up for one year.Results The pre-TIPS,post-TIPS(before thrombolysis),and post-thrombolysis mean PPG was(24.50±6.91)mmHg,(18.51±5.11)mmHg,and(10.17±3.97)mmHg,respectively.The post-thrombolysis mean PPG was strikingly lower than the pre-thrombolysis values,the differences were statistically significant(P＜0.001).Among the 307 patients,complete disappearance of PVT was observed in 221(72.3%),remarkable reduction of PVT in 86(27.7%),and no invalid result was seen.The patients having complete patency of the shunt flow accounted for 85.7%of the 307 patients(261/307),and the patients having partial patency of the shunt flow accounted for 14.3%of the 307 patients(46/307).Forty-two patients developed complications,and no death occurred.All patients were followed up for one year,and the main clinical symptoms were improved or completely disappeared.Among the 307 patients,an increase in thrombus volume was found in 17(5.5%)when compared to their postoperative values,which returned to the first-time postoperative level after local treatment of the thrombus via the TIPS shunt combined with catheter-directed thrombolysis.Within one year after TIPS and thrombolysis,overt hepatic encephalopathy(OHE)occurred in 54 patients(17.6%,54/307).One patient died of hepatic failure 9 months after TIPS,another patient died of cerebral hemorrhage 11 months after TIPS,and all the remaining patients were alive.Conclusion For patients with portal hypertension complicated by PVT,TIPS combined with indwelling catheter-directed thrombolysis is clinically safe and effective.The standardized,systematic management of the whole therapeutic process should be strengthened.(J Intervent Radiol,2024,32:22-27)

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

ObjectiveTo investigate the clinical efficacy of Gandouling tablet （GDL） on abnormal lipid metabolism in Wilson's disease （WD） and the correlation between the prediction model of hepatic steatosis and the related indexes of lipid metabolism in WD. MethodA total of 86 patients with abnormal lipid metabolism in WD were selected. The 24-hour urine copper， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， serum triglyceride （TG）， total cholesterol （TC）， apolipoprotein B （ApoB）， low density lipoprotein cholesterol （LDL-C）， bile acid （BA）， γ-glutamyl transferase （GGT）， prediction model of hepatic steatosis ［hepatic steatosis index （HSI） and Zhejiang University index （ZJU index）］， ultrasonic attenuation coefficient imaging （ATT）， and traditional Chinese medicine （TCM） syndrome score were statistically analyzed before treatment. Pearson correlation test was used to analyze the correlation between TG， TC， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome score， ATT， and HIS and ZJU. The patients were divided into an observation group and a control group by random number table method， with 43 cases in each group. The observation group was treated with GDL combined with sodium dimercaptopropane sulfonate （DMPS）， while the control group was only treated with DMPS as a control. After six courses of treatment， 24-hour urine copper， TC， TG， LDL-C， ApoB， HSI， ZJU， ATT， TCM syndrome score， and clinical efficiency before and after treatment were observed and compared between the two groups. The correlation between HSI and ZJU and serum TC， TG， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome scores， and ATT was analyzed. ResultPearson correlation analysis showed that serum TC （r = 0.811）， TG （r = 0.826）， LDL-C （r = 0.802）， ApoB （r = 0.820）， ALT （r = 0.497）， ALT/AST （r = 0.826）， TCM syndrome score （r = 0.716）， and ATT （r = 0.736） were positively correlated with HSI （P<0.01）， while AST， BA， and GGT had no significant correlation with HSI. TC （r = 0.718）， TG （r = 0.765）， LDL-C （r = 0.667）， ApoB （r = 0.699）， ALT/AST （r = 0.403）， TCM syndrome score （r = 0.666）， and ATT （r = 0.684） were positively correlated with ZJU （P<0.01）. ALT， AST， BA， and GGT had no significant correlation with ZJU. The total effective rate of the observation group was 86.05 （37/43）， and that of the control group was 72.09% （31/43）. The total effective rate of the observation group was higher than that of the control group （Z = -2.301， P<0.05）. After treatment， the 24-hour urine copper of the two groups increased significantly. The levels of TC， TG， LDL-C， and ApoB were significantly decreased， and the HSI， ZJU， and ATT were significantly decreased （P<0.01）. Compared with those in the control group after treatment， the above indexes improved better in the observation group （P<0.05， P<0.01）. ConclusionGDL can effectively improve the level of copper and lipid metabolism in patients with WD， with high clinical safety and good clinical application value. The prediction model of hepatic steatosis can effectively reflect the degree of abnormal lipid metabolism in WD.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach.Methods The literature of forensic mixed stain included in the core col-lection of Web of Science database from 2011 to 2022 were collected as the study object,and the an-nual publication number,countrie(region),institution,journal,keywords,etc.were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software.Re-sults A total of 732 articles on forensic mixed stain were included from 2011 to 2022,with the an-nual number of articles published and the annual citation frequency showing a steady increase year by year.Among the 59 countries(regions)with the most published articles,the United States ranked first with 246 articles,followed by China with 153 articles.The literature came from 104 journals,and the total number of articles published in the top 10 journals was 633.FORENSIC SCI INT GENET ranked first with 307 articles.Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters,namely the genetic marker development group(blue),the mixed stain typing analysis theory group(red),the sequencing analysis group(yellow),and the case sample research group(green).It can be divided into four development stages in terms of different time peri-ods:early development(2011-2013),middle development(2014-2016),rapid development(2017-2020)and latest development(2021-2022).Conclusion The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend.Machine learning,next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years,which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.

Objective To explore the correlations of evaluations of right heart function parameters in patients with Ebstein anomaly(EA)using echocardiography and cardiac MRI.Methods Data of transthoracic echocardiography and cardiac MRI in 32 patients with EA confirmed by operation were retrospectively analyzed.The correlations of cardiac cavity size,right ventricular function and strain parameters obtained using echocardiography and the functional right ventricular(fRV)ejection fraction(EF)measured using MRI were explored.Results MRI fRV-EF in 32 cases of EA was(23.20± 7.61)％.Among echocardiographic parameters in 32 cases of EA,fractional area change(FAC)of fRV(r=0.347,P=0.015)was slightly,while global longitudinal strain(GLS)of fRV(r=0.801,P＜0.001)was highly positively correlated with MRI fRV-EF,respectively,whereas atrialized right ventricle(aRV)area/fRV area(r=-0.730,P=0.007)was highly negatively,aRV area/left ventricular area(r=-0.450,P=0.042)and right ventricular anterior-posterior diameter(r=-0.650,P=0.022)were both moderately negatively correlated with MRI fRV-EF.Both the left ventricular eccentricity index(r=-0.347,P=0.049)and Glasgow outcome scale extended(r=-0.336,P=0.024)obtained with echocardiography were slightly negatively correlated MRI fRV-EF.Conclusion Right heart function parameters in EA patients obtained with echocardiography were correlated with those of MRI fRV-GLS,among which aRV area/fRV area were highly positively correlated with MRI fRV-EF,hence having great value for evaluating right heart function in EA patients.