ObjectiveTo construct a stable monoclonal human embryonic kidney 293 （HEK293） cell line expressing recombinant human coagulation factor Ⅶ （rhFⅦ） and evaluate the expression level and procoagulant bioactivity of rhFⅦ. MethodsThe plasmid pCDNA3.1-EGFP-FⅦ was transfected into HEK293 cells to verify the effectiveness of the transfection system. The plasmid pCDNA3.1-FⅦ was transfected into HEK293 cells， and monoclonal stable transfected cell lines were selected using geneticin （G418）. The transcription of the FⅦ gene was identified by reverse transcription polymerase chain reaction （RT-PCR）. The expression level of rhFⅦ in the supernatant of the monoclonal stable transfected cell line was detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and Western blot. The concentration of rhFⅦ was determined by enzyme-linked immunosorbent assay （ELISA）， and the procoagulant activity of rhFⅦ was measured by human coagulation factor Ⅶ potency assay. ResultsHEK293 cells transfected with pcDNA3.1-EGFP-FⅦ showed green fluorescence， indicating that rhFⅦ was successfully expressed in the supernatant of HEK293 cells after transient transfection with pcDNA3.1-FⅦ. The monoclonal stable transfected cell line was obtained by G418 screening. RT-PCR identified that the FⅦ gene was integrated into the genome of the monoclonal stable transfected cell line. The cell viability was good as detected by Cell Counting Kit-8， and a single band of rhFⅦ was obtained by purification of the cell supernatant. The highest rhFⅦ expression was （1.27±0.09） mg/L， and the highest procoagulant activity was （380.29±13.80）%. ConclusionThe monoclonal HEK293 cell lines which can express rhFⅦ protein efficiently and stably with excellent procoagulant bioactivity is successfully screened.

Bile acids (BAs) serve not only as key facilitators of lipid absorption but also as crucial signaling molecules regulating glucose and lipid metabolism, inflammation, and overall energy homeostasis. Aging profoundly alters BA metabolism, characterized by shifts in biosynthetic pathways, compositional changes, disrupted receptor-mediated signaling, and alterations in gut microbiota interactions. These age-related changes contribute to the onset and progression of metabolic conditions, including type 2 diabetes, obesity, metabolic dysfunction-associated fatty liver disease, and neurodegenerative disorders. An increased abundance of hydrophobic and cytotoxic BAs has been associated with systemic inflammation, metabolic rigidity (disruption of metabolic flexibility), and organ dysfunction. Targeting BA signaling—through pharmacological modulation of farnesoid X receptor and Takeda G protein-coupled receptor 5 or microbiota-directed therapies—offers promising strategies to mitigate aging-related metabolic decline. A deeper understanding of how BA metabolism evolves over the lifespan may unveil novel interventions to promote healthy aging and prevent age-related disease.

Objective To analyze the biomechanical responses after small incision lenticule extraction(SMILE)based on personalized biomechanical parameters of the human eye.Methods Through the results from the correlation analysis between corneal stromal elastic modulus and biomechanical parameters,the cornea elastic modulus was predicted and the material parameters were obtained.Based on clinical measurement data,52 personalized myopic human eye models were reconstructed to analyze the corneal biomechanical response after SMILE.Results The biomechanical response of the cornea varied from patients,and the vertex displacement and stress of the corneal surface increased or decreased after SMILE.On average,when residual stromal thickness(RST)ranged from 278 μm to 332 μm and IOP was 16-20 mmHg(1 mmHg=0.133 kPa),the change of vertex displacement and stress on the corneal surface after SMILE were less than those under IOP=11-16 mmHg.Under RST＞332 μm and IOP=11-16 mmHg,the corneal biomechanics was relatively stable.In addition,the corrected diopters of patients increased,and the deformation of corneal surface after SMILE was more drastic.Conclusions RST and IOP are important factors influencing corneal biomechanics.The material parameters of corneal tissues were predicted based on corneal biomechanical parameters.The cutting profiles and surgical parameters of SMILE may be optimized through analyzing the surgical effect after refractive surgery by reconstructing personalized finite element model of human eyes.

Objective:To explore the relationship of metacognitive regulation, self-efficacy, and motivation regulation with learning engagement among medical students in military academies.Methods:A total of 439 students from the Air Force Medical University were selected by convenience sampling in March to April 2023. The Metacognitive Self-Regulation Scale, Self-Efficacy Scale, Learning Engagement Scale, and Motivation Regulation Questionnaire were adopted for investigation. SPSS 25.0 was used for Pearson correlation analysis, and the Process procedure for analysis and testing of mediating effects.Results:A total of 436 usable questionnaires were collected. Metacognitive regulation, self-efficacy, motivation regulation, and learning engagement were significantly positively correlated ( r>0.477, P<0.01). The mediating effect of self-efficacy and motivation regulation and the chain mediating effect of self-efficacy-motivation regulation were significant between metacognitive regulation and learning engagement, and the effect sizes were 0.449, 0.244, and 0.130, accounting for 44.37%, 24.11%, and 12.85% of the total effect, respectively. The proportion of the total indirect effect was 81.32%. Conclusions:The metacognitive regulation of medical students in military academies directly affects learning engagement, which is also indirectly affected through the independent mediating effect of self-efficacy and motivation regulation or the chain mediating effect of self-efficacy-motivation regulation.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.

Objective:To study the impact of fluoride exposure through drinking water on the risk of hypertension among residents in Jishan County, Shanxi Province.Methods:From March to April 2023, a cluster sampling method was used to select permanent residents aged ≥18 years and residing for ≥10 years in 12 villages in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province as the survey subjects. A questionnaire survey, physical examination, and morning urinary fluoride level testing were conducted. The least absolute shrinkage and selection operator (Lasso) regression were used to analyze the key influencing factors of hypertension. Restricted cubic spline was used to evaluate the linear relationship between urinary fluoride and hypertension. Logistic regression was used to analyze the impact of urinary fluoride on hypertension.Results:Finally, 2 453 survey subjects were included, aged (62 ± 10) years, including 1 565 patients (63.80%) with hypertension. There were significant differences in the distribution of age, gender, education level, annual household income, body mass index (BMI), and the level and distribution of urinary fluoride between hypertension group and normal blood pressure group ( P < 0.05). The Lasso regression results showed that age, education level, BMI, and urinary fluoride were the key influencing factors of hypertension, with coefficients of 1.04, - 0.12, 0.24 and 0.01, respectively. The results of the restricted cubic spline showed that there was a linear relationship between urinary fluoride and hypertension after adjusting for age, education level, and BMI ( Poverall = 0.018, Pnonlinear = 0.482). The logistic regression results showed that after adjusting for age, education level, and BMI, urinary fluoride > 4.68 mg/L was a risk factor for hypertension ( OR = 1.42, 95% CI: 1.10 - 1.84, P = 0.007). Conclusion:High urinary fluoride is a risk factor for hypertension in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province.

Objective:To compare the clinical characteristics of severe Mycoplasma pneumoniae pneumonia（SMPP）with bronchiolitis and consolidation to raise awareness.Methods:Retrospective analysis was conducted on children hospitalized at the first affiliated hospital of Xiamen University diagnosed with（SMPP）from February 2023 to January 2024.The children were divided into bronchiolitis group and large consolidation group based on their high-resolution CT imaging findings.Data on basic information，clinical features，auxiliary examination results，and bronchoscopy findings were analyzed.Results:This study included 415 pediatric patients，including 203 with bronchiolitis and 212 with large consolidation.The proportion of males，atopy rate，and first-degree relative atopy rate in the bronchiolitis group were higher，and the age of the bronchiolitis group was younger（ P<0.05）.The fever peak，incidence of fever，and low breath sound in the bronchiolitis group were lower，and the incidence of hypoxemia，wheezing，shortness of breath，inspiratory tri-concave signs，moist rales were higher than those in the consolidation group（ P<0.05）.The white blood cell counts，platelet counts，and lactate dehydrogenase were higher and the percentage of neutrophils，C-reactive protein，ferritin，D-dimer，and fibrinogen degradation products were lower in the bronchiolitis group than those in the consolidation group（ P<0.05）.The rate of 2 or more bronchoscopy procedures，and the proportion of longitudinal plica，mucus plug，and plastic in the consolidation group were higher than those in the bronchiolitis group（ P<0.05）.After three months of follow-up，there were 8 cases of bronchiolitis obliterans，including 7 cases in the bronchiolitis group and 1 case in the large consolidation group. Conclusion:If atopy，wheezing，and dyspnea are present in young children and preschool children with confirmed SMPP，they should be closely monitored for signs of bronchiolitis SMPP.Children with significant consolidation on imaging should have the possibility of various intrapulmonary and extrapulmonary problems taken into account.Appropriate treatment options should be implemented during the acute phase based on the imaging findings.

Objective:To investigate the influencing factors for gastroesophageal reflux disease (GERD) after laparoscopic Heller-Dor surgery for esophageal achalasia.Methods:The retrospective case-control study was conducted. The clinical data of 210 patients with esophageal achalasia who were admitted to Shanxi Provincial Cancer Hospital from January 2021 to December 2023 were collected. There were 119 males and 91 females, aged (47±12)years. All patients underwent laparoscopic Heller-Dor surgery. Observation indicators: (1) surgical situations; (2) follow-up; (3) influencing factors for GERD after laparoscopic Heller-Dor surgery; (4) development and evaluation of a predictive model for GERD after laparoscopic Heller-Dor surgery. Univariate and multivariate analyses were performed using stepwise Logistic regression. Results of multivariate analysis were used to construct a nomogram in predicting GERD. The predictive performance was assessed using the area under the receiver operating characteristic curve. The calibration curve was used to evaluate the accuracy of the model, and the decision curve was used to assess the overall net benefit of the model.Results:(1) Surgical situations. All 210 patients underwent laparoscopic Heller-Dor surgery. The operation time was (128±31)minutes, volume of intraoperative blood loss was (25±9)mL, and length of lower esophageal sphincter (LES) myotomy was (5±3)cm. The length of low esophageal myotomy >6 cm was performed in 49 patients, and length of gastric fundus myotomy >2 cm was performed in 58 patients. Intraoperative mucosal perforation occurred to 3 patients and was repaired intraoperatively. One patient required conversion to open surgery. Postoperative complications occurred in 18 patients. The duration of postoperative hospital stay was (4.3±2.4)days. (2) Follow-up. All 210 patients were followed up for 4(range,7-33)months after surgery. During follow-up, 32 pati-ents had GERD, including 17 cases presenting dysphagia and 25 cases presenting acid regurgitation and heartburn (the same patient may have two symptoms). There were 29 cases with body mass index (BMI) >28 kg/m2. Symptom severity scores of 210 patients showed heartburn of 0.6(range, 0-3.0), reflux of 0.7(range, 0-3.0), chest pain of 0.4(range, 0-2.0), cough and hoarseness of 0.5(range, 0-2.0), nausea and vomiting 0.3(range, 0-2.0), dysphagia 0.8(range, 0-3.0). The LES pressure was (15±8)mmHg (1 mmHg=0.133 kPa), LES relaxation rate was 81%±13.0%, and integrated relaxation pressure was (9±6)mmHg. Esophageal manometry classification showed type Ⅰ, Ⅱ, and Ⅲ in 0, 8, and 0 patients, respectively. There were 208 patients achieved symptom relief after drug or symptomatic treatment. Only two patients with severe symptoms were unresponsive to medication and subsequently underwent surgery at another hospital, with symptoms improving postoperatively. (3) Influen-cing factors for GERD after laparoscopic Heller-Dor surgery. Results of multivariate analysis showed that male, smoking history, length of lower esophageal myotomy >6 cm, and postoperative BMI >28 kg/m2 were independent risk factors for GERD after laparoscopic Heller-Dor surgery ( odds ratio=4.02, 6.34, 5.41, 7.38, 95% confidence interval as 1.50-10.78, 3.31-12.31, 1.77-13.47, 2.80-15.42, P<0.05). (4) Development and evaluation of a predictive model for GERD after laparoscopic Heller-Dor surgery. A predictive nomogram model for GERD was constructed based on the results of multivariate analysis. The receiver operating characteristic curve of predictive nomogram model for GERD had an area under curve of 0.91 (95% confidence interval as 0.82-0.97), demonstrating good discrimination. The calibration curve showed good agreement between predicted and observed probabilities, with a mean absolute error of 0.033. The decision curve demonstrated that within a threshold probability range of 0.2-0.8, the predictive model had greater net benefit than "treat-all" or "treat-none" strategies, indicating clinical utility of this model in clinical decision. Conclusions:Male, smoking history, length of lower esophageal myotomy >6 cm, and postoperative BMI >28 kg/m2 are independent risk factors for GERD after laparoscopic Heller-Dor surgery for esophageal achalasia. The predictive model for GERD after laparoscopic Heller-Dor surgery based on these factors shows strong predictive accuracy.

Objective:To investigate the value of a multi-parameter MRI nomogram model in evaluating the recurrence risk of hormone receptor (HR)-positive breast cancer.Methods:This study was a retrospective cross-sectional study. A retrospective analysis was conducted on the clinicopathological data (age, menopausal status, axillary lymph node metastasis, etc.) and imaging data of 220 patients with HR-positive breast cancer who underwent breast MRI examination and were pathologically confirmed at the Second Affiliated Hospital of Nantong University from January 2018 to December 2023. All patients underwent preoperative MRI examinations. Their MRI features were analyzed, and the maximum diameter of the lesion and the apparent diffusion coefficient (ADC) value were measured. Finally, the clinical treatment score (CTS5 score) after 5 years was calculated, and all patients were divided into a low recurrence risk (CTS5 score 3.13 points) and a medium to high recurrence risk (CTS5 score≥3.13 points) group. The patients were followed up through the electronic medical record system or by phone until December 31, 2024 to determine recurrence status. The patients were divided into the recurrence group and the non-recurrence group. The differences in clinicopathological data, MRI features and CTS5 scores between the recurrence group and the non-recurrence group were compared using independent sample t-tests, Mann-Whitney U tests or χ2 tests. Indicators with P0.05 in the univariate analysis were included in the multivariate logistic regression to screen the independent risk factors for predicting the recurrence of HR receptor-positive breast cancer, and a nomogram was constructed to establish the nomogram model. The receiver operating characteristic curves and the area under the curve (AUC) were used to evaluate the efficacy of the nomogram model in predicting the postoperative recurrence risk of patients with HR-positive breast cancer. The variance inflation factor (VIF) was used to evaluate the multicollinearity among independent variables. Calibration curves and decision curve analysis (DCA) were used to assess the fit and net clinical benefit of the nomogram model. Results:Among 220 patients with HR-positive breast cancer, 196 cases were in the non-recurrence group and 24 cases were in the recurrence group. There were statistically significant differences in the maximum diameter of the lesion, axillary lymph node metastasis, ADC value, CTS5 grouping, and CTS5 score between the recurrence group and the non-recurrence group ( P0.05). Multivariate logistic regression analysis showed that the maximum diameter of the lesion ( OR=1.110, 95% CI 1.169-1.503, P0.001), ADC value ( OR=0.993, 95% CI 0.993?0.989, P0.001), and axillary lymph node metastasis ( OR=8.842; 95% CI 2.120?36.884, P=0.003) were independent factors influencing postoperative recurrence in patients with HR-positive breast cancer, and a nomogram model was constructed based on this. VIF analysis showed that no significant multicollinearity was detected among the variables (VIF5). The AUC value of the nomogram model for predicting postoperative recurrence in patients with HR-positive breast cancer was 0.868 (95% CI 0.794-0.942), the sensitivity was 0.875, and the specificity was 0.781. The calibration curve showed that the prediction curve of this model for predicting postoperative recurrence in HR-positive breast cancer patients was basically consistent with the ideal curve trend. DCA showed that this model had a relatively high clinical benefit within the threshold probability range of 0.01% to 90.00%. Conclusion:The nomogram constructed based on multi-parameter MRI features can predict the postoperative recurrence risk of HR-positive breast cancer patients, with good consistency and predictive ability.