ObjectiveThis study aimed to investigate the action mechanism by which Banxia Xiexintang （BXT） inhibits epithelial-mesenchymal transition （EMT） in chronic atrophic gastritis （CAG） rats by regulating the interleukin-17（IL-17）/extracellular regulated protein kinases（ERK）/CCAAT enhancer binding protein β（C/EBPβ）signaling pathway， thereby providing new theoretical evidence for the treatment of CAG with classic traditional Chinese medicine formulas. MethodsA CAG rat model was established by using the combined factor method. After successful modeling， the rats were randomly divided into the model group， low-， medium-， and high-dose groups （0.549， 1.098， 2.196 g·kg^-1， respectively） of BXT， and the positive drug group （vitacoenzyme， 0.3 g·kg^-1）. A normal control group was also set up. After 8 weeks of intervention， the pathological changes of gastric tissue were evaluated. The enzyme-linked immunosorbent assay （ELISA） was used to detect the contents of IL-17， tumor necrosis factor-α （TNF-α）， cyclooxygenase-2 （COX-2）， and C/EBPβ in serum， as well as the contents of EMT markers in gastric mucosal tissue including E-cadherin， N-cadherin， and vimentin. The immunohistochemistry method was employed to determine the localization and protein expression levels of IL-17， p-ERK， and C/EBPβ in gastric mucosal tissue. Western blot was used to detect the protein expressions of C/EBPβ， ERK， and its phosphorylated form （p）-ERK in gastric mucosa. Real-time polymerase chain reaction （Real-time PCR） was applied to measure the mRNA expression levels of ERK， COX-2， and C/EBPβ in gastric mucosa. ResultsCompared with those in the normal control group， the rats in the model group showed gastric mucosal glandular atrophy and inflammatory cell infiltration. The protein and their related mRNA expressions of C/EBPβ， ERK， and p-ERK in gastric mucosa were significantly increased （P<0.05，P<0.01）. The levels of IL-17， TNF-α， COX-2， and C/EBPβ in serum were significantly increased （P<0.01）. The contents of N-cadherin and vimentin in gastric mucosal tissue were significantly increased， while the content of E-cadherin was significantly decreased （P<0.01）. Compared with the model group， after intervention with different doses of BXT， the pathological damage of the gastric mucosa was improved to varying degrees. The protein and mRNA expressions of C/EBPβ， ERK， and p-ERK in gastric mucosa were significantly reduced （P<0.05，P<0.01）. The levels of IL-17， TNF-α， COX-2， and C/EBP β in serum were significantly decreased （P<0.01）. The contents of N-cadherin and vimentin in gastric mucosa tissue were decreased， while the content of E-cadherin was increased （P<0.05，P<0.01）. ConclusionBXT can effectively improve the pathological damage of gastric mucosal tissue in CAG rats. Its action mechanism may be related to reducing the levels of IL-17 and TNF-α in serum， regulating the IL-17/ERK/C/EBPβ signaling pathway and inhibiting the EMT process.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.

Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.

Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

ObjectiveTo investigate the influence of empagliflozin combined with donafenib or lenvatinib on the pharmacokinetic parameters of each drug， and to provide a reference for combined medication in clinical practice. MethodsA total of 48 healthy male Sprague-Dawley rats were divided into 8 groups： empagliflozin group 1 and 2， donafenib group， lenvatinib group， donafenib pretreatment+empagliflozin group， lenvatinib pretreatment + empagliflozin group， empagliflozin pretreatment+donafenib group， and empagliflozin pretreatment+lenvatinib group， with 6 rats in each group. The doses of empagliflozin， donafenib， and lenvatinib were 2.5 mg/kg， 40 mg/kg， and 1.2 mg/kg， respectively. The rats in the empagliflozin group， donafenib group， and lenvatinib group were given a blank solvent by gavage for 7 consecutive days， followed by a single dose of empagliflozin， donafenib， or lenvatinib on day 7 after the administration of the blank solvent； the rats in the pretreatment groups were given the pretreatment drug by gavage for 7 consecutive days， followed by a single dose of drug combination on day 7 after administration of the pretreatment drug. Blood samples were collected at different time points， and plasma was separated to measure the concentration of each drug. A validated ultra-performance liquid chromatography-tandem mass spectrometry method was used to measure the plasma concentrations of donafenib， lenvatinib， and empagliflozin， and a non-compartmental model was used to calculate the main pharmacokinetic parameters of each drug （area under the plasma concentration-time curve ［AUC］， time to peak ［T_max］， peak concentration ［C_max］， and half-life time ［t_1/2］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the empagliflozin group， the donafenib pretreatment+empagliflozin group had significant increases in the AUC_0-t and AUC_0-∞ of empagliflozin （P=0.011 and 0.008）， while the lenvatinib pretreatment+empagliflozin group had no significant change in the AUC of empagliflozin， with a slightly shorter T_max （P=0.019）. Compared with the donafenib group， the empagliflozin pretreatment+donafenib group had significant increases in the AUC_0-t and AUC_0-∞ of donafenib （P=0.027 and 0.025）， as well as a significant increase in C_max （P=0.015） and significant reductions in CLz/F and Vz/F （P=0.005 and 0.004）； compared with the lenvatinib group， the empagliflozin pretreatment+lenvatinib group had a reduction in the t_1/2 of lenvatinib by approximately 5 hours （P=0.002）， with a trend of reduction in AUC_0-t （P0.05）. ConclusionEmpagliflozin combined with donafenib may alter the pharmacokinetic parameters of both drugs， leading to a significant increase in the exposure levels of both drugs， and efficacy and adverse reactions should be monitored during co-administration. There are no significant changes in the exposure levels of empagliflozin and lenvatinib during co-administration.

Objective:To explore the genetic and clinical characteristics of Guizhou patients with enlarged vestibular aqueduct（EVA） syndrome through combined SLC26A4 variant analysis and clinical phenotype analysis. Methods:Seventy-two EVA patients underwent comprehensive genetic testing using a multiplex PCR-based deafness gene panel and next-generation sequencing（NGS）. The audiological and temporal bone imaging characteristics were compared across mutation subtypes. Results:A total of 27 pathogenic loci of SLC26A4 were detected in 72 patients, including c.919-2A>G in 79.2%（57/72）. A novel deletion（c.1703_1707+6del） was discovered. Among 65 cases, truncated mutations were 89.2%（58/65）, 52.3%（34/65）, 28（43.1%） and 7（10.8%）. No significant differences were observed in the midpoint diameter of the vestibular aqueduct and the incidence of incomplete partitioning typeⅡ（IP-Ⅱ） of the cochlea among the three groups of patients. Moreover, there was no difference in the midpoint diameter of different vestibular pipes or the combination with IP-Ⅱ. Conclusion:The most common mutation site of SLC26A4 in EVA patients in Guizhou is c.919-2A>G, though genotype-phenotype correlations remain elusive. The detection of 27 mutation sites and the discovery of new mutation sites suggested the precise diagnostic significance of NGS technology in EVA patients in Guizhou.
Humans ; Sulfate Transporters ; Vestibular Aqueduct/abnormalities* ; Mutation ; Membrane Transport Proteins/genetics* ; Hearing Loss, Sensorineural/genetics* ; Male ; Female ; Child ; Adolescent ; Child, Preschool ; Adult ; Young Adult ; Phenotype ; High-Throughput Nucleotide Sequencing

Objective To analyze the epidemiological characteristics of human papillomavirus(HPV)infection in women in the Zhongguancun area of Beijing,and to evaluate the infection rates and genotype distribution between different populations and age groups.Methods A retrospective analysis was conducted on HPV genotyping results of 13,105 women who visited the gynecology outpatient department or underwent routine health check-ups at Zhongguancun Hospital from March 2019 to April 2024.High-risk HPV genotypes(15 types)were detected using a fluorescence PCR assay.Positive cases were classified as single,dual or multiple(≥3)infections based on the number of genotypes.Subjects were stratified into six age groups(≤30,31-40,41-50,51-60,61-70,and≥71 years),and the characteristics of infection by type and age group were analyzed.Results The overall HPV positivity rate was 10.78%(1,413/13,105),with a significantly higher rate in the outpatient group than that in the health check-up group(16.36%vs.6.06%,P<0.01).The three most prevalent genotypes were HPV52(18.83%),HPV58(13.85%),and HPV16(11.28%).Single infections accounted for 79.19%of cases,dual infections for 15.93%and multiple infections for 4.88%.Age distribution showed a U-shaped pattern,with higher infection rate in women aged≤30 years(15.06%)and 61-70 years(13.19%),and the lowest rate in the≥71 years(8.09%).Notably,women aged≤30 years had the highest proportion of multiple infections(31.72%).Conclusion These findings provide a basis for cervical cancer screening strategies,HPV vaccination promotion and individualized prevention of cervical cancer in this region.

Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.