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 identify risk factors for mortality in patients with cirrhosis and portal hypertension compli-cated by esophagogastric variceal bleeding(EVB)after transjugular intrahepatic portosystemic shunt(TIPS),and to estab-lish a prediction model.Methods:Clinical data of 80 patients who underwent TIPS from March 2022 to March 2024 were retrospectively analyzed.Based on 28-day outcomes,patients were divided into survival(n=65)and death(n=15)groups.Univariate and multivariate logistic regression analyses were used to determine independent predictors,and the model's calibration and discrimination were assessed by the Hosmer-Lemeshow test and ROC curve.Results:Inde-pendent risk factors for death included Child-pugh score(OR=2.653),MELD score(OR=1.924),bleeding volume(OR=1.754),portal vein thrombosis(OR=3.247),and hepatic encephalopathy(OR=2.834).The model demonstrated good cali-bration(Hosmer-Lemeshow χ2=7.142,P=0.521)and discrimination,with an AUC of 0.873(95%CI:0.773-0.939),sensi-tivity of 83.3%,and specificity of 87.7%.Conclusion:Child-pugh score,MELD score,bleeding volume,portal vein thrombosis,and hepatic encephalopathy are independent predictors of post-TIPS mortality in cirrhotic patients with EVB.Emergency TIPS carries higher mortality risk than elective TIPS.The proposed model shows strong predictive perfor-mance and may aid in individualized prognosis assessment and therapeutic decision-making.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

Aim To explore the mechanism of Lycium barbarum glycopeptide(LbGP)improving aging in rat primary ovarian granulosa cells.Methods This study divided the cells into a normal group,a DOX group,and four different LbGP concentration treatment groups post-DOX intervention.Results Cell proliferation was assessed using CCK-8,EDU,and Ki67 assays,while aging markers and mitochondrial function-related fac-tors were detected using immunofluorescence and West-ern blotting.The results showed that,compared to the DOX group,LbGP treatment significantly increased cell viability(P＜0.05)and promoted proliferation(P＜0.05).Post LbGP treatment,the β-galactosidase-posi-tive area in cells was significantly reduced compared to the DOX group(P＜0.05).Immunofluorescence re-sults indicated that,compared to the DOX group,levels of p21 and γH2AX significantly decreased(P＜0.05),while pRB increased(P＜0.05)after LbGP treatment.Western blot results showed that,compared to the DOX group,the aging phenotype proteins p21 and p53 significantly decreased(P＜0.05),and pRB notably increased(P＜0.05)in the LbGP treatment group.The release of cytC into the cytoplasm and the activated caspase-9 significantly decreased(P＜0.05);levels of CAMKK2,pAMPK,and mitochondrial calcium homeostasis regulator MCU increased(P＜0.05);nuclear energy metabolism-related proteins SirT1,PGC1α/β and ATP5A1 significantly increased(P＜0.05);compared to the DOX group,ROS levels significantly decreased after LbGP treatment(P＜0.05).Conclusions The results suggest that LbGP can ameliorate DOX-induced aging in rat primary ovar-ian granulosa cells,potentially through the upregulation of the CAMKKβ/AMPK signaling pathway,thereby im-proving mitochondrial calcium homeostasis and increas-ing the expression levels of cell energy metabolism-re-lated regulatory proteins.This provides an experimen-tal basis for LbGP's potential role in supporting the im-provement of ovarian function.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To explore the mechanism of Lycium barbarum glycopeptide(LbGP)improving aging in rat primary ovarian granulosa cells.Methods This study divided the cells into a normal group,a DOX group,and four different LbGP concentration treatment groups post-DOX intervention.Results Cell proliferation was assessed using CCK-8,EDU,and Ki67 assays,while aging markers and mitochondrial function-related fac-tors were detected using immunofluorescence and West-ern blotting.The results showed that,compared to the DOX group,LbGP treatment significantly increased cell viability(P＜0.05)and promoted proliferation(P＜0.05).Post LbGP treatment,the β-galactosidase-posi-tive area in cells was significantly reduced compared to the DOX group(P＜0.05).Immunofluorescence re-sults indicated that,compared to the DOX group,levels of p21 and γH2AX significantly decreased(P＜0.05),while pRB increased(P＜0.05)after LbGP treatment.Western blot results showed that,compared to the DOX group,the aging phenotype proteins p21 and p53 significantly decreased(P＜0.05),and pRB notably increased(P＜0.05)in the LbGP treatment group.The release of cytC into the cytoplasm and the activated caspase-9 significantly decreased(P＜0.05);levels of CAMKK2,pAMPK,and mitochondrial calcium homeostasis regulator MCU increased(P＜0.05);nuclear energy metabolism-related proteins SirT1,PGC1α/β and ATP5A1 significantly increased(P＜0.05);compared to the DOX group,ROS levels significantly decreased after LbGP treatment(P＜0.05).Conclusions The results suggest that LbGP can ameliorate DOX-induced aging in rat primary ovar-ian granulosa cells,potentially through the upregulation of the CAMKKβ/AMPK signaling pathway,thereby im-proving mitochondrial calcium homeostasis and increas-ing the expression levels of cell energy metabolism-re-lated regulatory proteins.This provides an experimen-tal basis for LbGP's potential role in supporting the im-provement of ovarian function.

Objective:To analyze the effect of Y chromosome AZFc microdeletion on pregnancy outcome of intracytoplasmic sperm injection(ICSI).Methods:From 2016 to 2023,6 765 cases of oligozoospermia in our hospital were selected as the research objects.The results of Y chromosome microdeletion test were retrospectively analyzed.According to the inclusion exclusion criteria and the principle of propensity distribution 1∶2,180 patients were included in the study.Sixty patients with Y chromosome AZFc microde-letion and ICSI assisted pregnancy were enrolled into the experimental group.The other 120 patients without Y chromosome microde-letion and ICSI assisted pregnancy were included in the control group.Baseline characteristics,five male sex hormones,laboratory em-bryo culture and pregnancy outcomes were compared between the two groups.Results:There was no significant difference in male age,female age,infertility years,gravidity and parity between the two groups(P＞0.05).There was no significant difference in the five sex hormones of men(P＞0.05).Except for transplantable embryos(P＜0.05),there was no significant difference in other indi-cators in the process of embryo culture.There was no difference in pregnancy outcome indicators between the two groups except for the preterm birth rate(P＜0.05).Conclusion:ICSI assisted pregnancy with Y chromosome AZFc microdeletion has no significant effect on pregnancy outcome.And close follow-up of offspring is required.

Objective:To identify risk factors for mortality in patients with cirrhosis and portal hypertension compli-cated by esophagogastric variceal bleeding(EVB)after transjugular intrahepatic portosystemic shunt(TIPS),and to estab-lish a prediction model.Methods:Clinical data of 80 patients who underwent TIPS from March 2022 to March 2024 were retrospectively analyzed.Based on 28-day outcomes,patients were divided into survival(n=65)and death(n=15)groups.Univariate and multivariate logistic regression analyses were used to determine independent predictors,and the model's calibration and discrimination were assessed by the Hosmer-Lemeshow test and ROC curve.Results:Inde-pendent risk factors for death included Child-pugh score(OR=2.653),MELD score(OR=1.924),bleeding volume(OR=1.754),portal vein thrombosis(OR=3.247),and hepatic encephalopathy(OR=2.834).The model demonstrated good cali-bration(Hosmer-Lemeshow χ2=7.142,P=0.521)and discrimination,with an AUC of 0.873(95%CI:0.773-0.939),sensi-tivity of 83.3%,and specificity of 87.7%.Conclusion:Child-pugh score,MELD score,bleeding volume,portal vein thrombosis,and hepatic encephalopathy are independent predictors of post-TIPS mortality in cirrhotic patients with EVB.Emergency TIPS carries higher mortality risk than elective TIPS.The proposed model shows strong predictive perfor-mance and may aid in individualized prognosis assessment and therapeutic decision-making.

Objective:To review the clinicopathological features of TFE3-rearranged renal cell carcino-ma(TFE3-RCC)with venous tumor thrombus(VT)(TFE3-VT),to explore treatment strategies and to prognostic characteristics,and to provide diagnostic and therapeutic references for TFE3-VT patients.Methods:Patients who underwent surgery at Department of Urology,Peking University Third Hospital from January 2013 to January 2024 were enrolled,including three cohorts:Pathologically confirmed TFE3-VT patients,TFE3-RCC patients without VT(TFE3-non-VT),and non-TFE3-rearranged renal cell carcinoma patients with VT(non-TFE3-VT).Clinical history,imaging data,pathological data,and follow-up records were collected.Primary and secondary endpoints were progression-free survival(PFS)and overall survival(OS),respectively.(1)Baseline characteristics were compared between the TFE3-VT and TFE3-non-VT patients.Normally distributed continuous variables were expressed as mean±SD and compared using Student's t-test;non-normally distributed variables were expressed as M(P25,P75)and analyzed with Mann-Whitney U test;categorical variables were described as frequency and percentage[n(％)]and compared by x2 test or Fisher's exact test.(2)Clinical history,radiological presenta-tions,surgical data,and histopathological features of the TFE3-VT patients were comprehensively charac-terized.(3)Survival analysis was performed for the TFE3-VT patients.Follow-up data of the TFE3-VT patients were described in detail,and their survival outcomes were compared with the TFE3-non-VT and non-TFE3-VT patients.When compared with the TFE3-non-VT counterparts,Kaplan-Meier method was used to generate PFS and OS curves among:(1)the TFE3-RCC patients across clinical stages Ⅰ-Ⅳ;(2)TFE3-VT versus TFE3-non-VT cohorts;(3)stage Ⅲ subgroups of the TFE3-VT and TFE3-non-VT patients.Intergroup survival differences were statistically evaluated using Log-rank tests.For comparisons with the non-TFE3-VT patients,a 1∶1 propensity score matching(PSM)was implemented to balance baseline characteristics between the two cohorts.Post-matching Kaplan-Meier curves were generated to compare PFS and OS between the matched groups,with Log-rank tests employed to determine statistical significance of survival disparities.All statistical analyses were conducted with R software(v 4.2.3),and two-tailed P＜0.05 was considered statistically significant.Results:The study included 45 TFE3-RCC patients:13 TFE3-VT and 32 TFE3-non-VT cases.Additionally,523 non-TFE3-VT patients were enrolled.Among the 13 TFE3-VT patients,9 were female(69.2％)and 4 male(30.8％),with a mean age of(37.9±14.4)years,mean BMI of(22.2±3.5)kg/m2,median age-adjusted Charlson comorbidity index(aCCI)of 1.0(0.0,1.0),and preoperative creatinine level of(75.3±15.9)μmol/L;tumors were located in the left kidney in 7 patients(53.8％)and right kidney in 6(46.2％);preoperative distant metastasis(M1 stage)was present in 6 patients(46.2％),while 7(53.8％)showed no metastasis;VT distribution by Mayo level comprised 7 cases(53.8％)at level 0,1 case each at levels Ⅰ and Ⅳ(7.7％respectively),and 2 cases each at levels Ⅱ and Ⅲ(15.4％respectively);surgical approaches comprised open surgery(n=2,15.4％),laparoscopic surgery(n=6,46.1％),and robot-assisted laparoscopic surgery(n=5,38.5％);mean operative time was(273±79)min,and intraoperative blood loss was(722±570)mL;mean maximum tumor diameter was(10.8±2.4)cm.All the 13 patients underwent TFE3 protein immunohistochemistry(IHC)staining,with 7 confirmed by fluorescence in situ hybridization(FISH).Tumor recurrence or metastasis occurred in 11 patients(84.6％),and 9(69.2％)patients died during follow-up.Median PFS was 4 months(1 year PFS rate:31％),and median OS was 13 months(1 year OS rate:54％).Survival analysis of 45 TFE3-RCC pa-tients revealed statistically significant differences in PFS and OS across all the clinical stages(P＜0.001).The TFE3-VT patients exhibited significantly worse PFS and OS than the TFE3-non-VT patients(P＜0.001),with persistent significance in stage Ⅲ subgroup analysis(P＜0.05).After PSM,TFE3-VT pa-tients showed significantly inferior PFS compared with non-TFE3-VT(P=0.01),though no significant difference was shown between the OS curves(P=0.11).Conclusion:TFE3-VT predominantly occurs in young females with frequent preoperative metastases.Strongly-positive staining of TFE3 protein in IHC stai-ning and red-green split signals in FISH tests are reliable diagnostic markers.TFE3-VT patients exhibit in-ferior survival compared with TFE3-non-VT patients and earlier progression than non-TFE3-VT patients.