Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

ObjectiveTo explore the vascular endothelial injury in male mice caused by exposure to polystyrene microplastics （PS-MPs） and the intervention effect of luteolin on vascular remodeling. Additionally， to investigate the mechanism through the oxidative system and metabolomics. MethodsThirty-two C57BL/6 mice （6-8 weeks old） were randomly divided into the saline group （saline group）， the 0.1 mg/kg PS-MPs exposure group （0.1PS-MPs group）， the 1 mg/kg PS-MPs exposure group （1PS-MPs group）， and the 1 mg/kg PS-MPs + luteolin treatment group （1PS-MPs + Lut group）， with 8 mice in each group. After 8 weeks of intervention， the body weight， blood pressure， aortic organ coefficient， and aortic histopathological changes of mice in each group were detected； the total cholesterol （TC）， triglyceride （TG）， and high-density lipoprotein cholesterol （HDL-C） lipid metabolism-related indicators in the aorta of mice were detected； the reactive oxygen species （ROS）， glutathione （GSH）， and malondialdehyde （MDA） oxidative stress-related indicators were detected； the endothelin （ET-1）， nitric oxide （NO）， vascular endothelial growth factor A （VEGF-A）， vascular cell adhesion molecule-1 （VCAM-1/CD106）， and intercellular adhesion molecule-1 （ICAM-1/CD54） endothelial function-related indicators and serum metabolomics were detected. ResultsCompared to the saline group， exposure to PS-MPs resulted in pathological thickening of the mouse aorta， increased aortic organ coefficient， and elevated blood pressure. Lipid metabolism-related indicators， including TC and TG， were elevated， while HDL-C was reduced， indicating lipid metabolism disorder in mice. Oxidative stress markers such as ROS and MDA increased， whereas GSH decreased， demonstrating oxidative damage. Vascular endothelial inflammation and injury markers， including ET-1， VEGF-A， VCAM-1， and ICAM-1， were upregulated， while the vasodilatory substance NO was downregulated， confirming endothelial injury. Furthermore， serum metabolomics results revealed that PS-MPs exposure induced endothelial damage by disrupting metabolic pathways such as the citrate cycle. Compared to the PS-MPs group， luteolin significantly reversed these effects， attenuating oxidative stress and lipid metabolism disorders， and effectively repairing endothelial injury. ConclusionPS-MPs induce vascular toxicity through oxidative stress and lipid metabolism. Luteolin effectively alleviates endothelial damage and vascular remodeling.

Liver transplantation is a radical treatment for progressive and irreversible end-stage liver disease. However, its clinical application has always been restricted by the core bottleneck of donor liver shortage. Living donor liver transplantation can alleviate the shortage of donor livers to a certain extent, but it requires simultaneous assurance of sufficient residual liver volume in donors to avoid liver insufficiency, as well as an adequate graft-to-recipient weight ratio to prevent small-for-size syndrome, which limits its clinical application. Dual-donor liver transplantation utilizes partial liver tissues from two donors as grafts. While ensuring donor safety, avoiding small-for-size syndrome in recipients, and expanding the donor pool, this technique significantly improves the utilization rate of donor livers and effectively eases the clinical contradiction of donor liver shortage. Based on recent domestic and international clinical practices and the latest diagnosis and treatment guidelines, this article systematically reviews the developmental background, donor and recipient evaluation and selection, surgical procedures and postoperative complications of dual-donor liver transplantation, aiming to provide references for the standardized promotion and clinical optimization of this technique.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Objective:To develop and evaluate a deep learning-based automatic measurement model for panoramic ultrasound biomicroscopy (UBM) images.Methods:A diagnostic test study was conducted.Preoperative UBM examination results of 372 patients who underwent implantable collamer lens (ICL) implantation were collected at the Eye Center of Renmin Hospital of Wuhan University between February 2021 and March 2023.A total of 1 368 panoramic UBM images were obtained to establish an image database.The dataset was divided into a training set (760 images), a validation set (86 images) and an internal test set (522 images).An expert panel consisting of three ophthalmologists annotated the images.The UNet+ + network was used to automatically segment anterior segment tissues, such as the cornea, lens and iris.In addition, image processing techniques and geometric localization algorithms were developed to automatically identify the anatomical landmarks of pupil diameter (PD), anterior chamber depth (ACD), angle-to-angle distance (ATA) and sulcus-to-sulcus distance (STS) to complete the measurement of these parameters.Additionally, 480 panoramic UBM images of 135 patients (240 eyes) from Aier Eye Hospital of Wuhan University were used as an external test set to further evaluate the performance of the model in different centers.The consistency between the measurements from the model and expert panel, the Pentacam system was assessed.Finally, 150 images were randomly selected from the external test set for a human-machine comparison to further evaluate the model's performance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109) and Aier eye Hospital of Wuhan University (No.2023IRBKY120903).Written informed consent was obtained from each subject.Results:In the internal test dataset and external test dataset, with manual labeling as the reference standard, the model achieved a mean Dice coefficient of not less than 0.882.At least 95.65% of the anatomical landmark localization results had Euclidean distance differences within 250 μm.The intraclass correlation coefficients (ICCs) for the measurements of PD, ACD, angle-to-angle ATA, and STS were at least 0.958, with mean relative errors not exceeding 2.407%.With the Pentacam measurements as the reference standard, the ICCs for PD in the internal and external test sets were 0.540 and 0.466, respectively, while the ICCs for ACD were 0.946 and 0.908, respectively.In the human-machine comparison, the ICCs between the model's measurements and those of senior experts were all not lower than 0.969.Conclusions:The deep learning-based model can automatically measure anterior segment parameters from preoperative panoramic UBM images of patients undergoing ICL surgery.The model demonstrates a consistency comparable to that of senior experts, while providing higher efficiency.In terms of ACD measurement, the model shows good agreement between the measurements obtained from the model and Pentacam system.

Objective:To explore the application value of the integrated situational simulation teaching model based on the "Internet+"in obstetrics and gynecology clinical clerkship.Methods:Fifty-eight undergraduate students enrolled in 2019 who participated in the clinical clerkship at the Chengdu Fifth People's Hospital from June to September 2023 were selected and divided into a research group ( n=29) and a control group ( n=29) using the random number table method. The research group received the integrated situational simulation teaching model based on "Internet+", while the control group received traditional teaching methods. After clinical clerkship, theoretical tests, teacher evaluation, and questionnaire surveys were conducted to evaluate and compare the teaching effectiveness of the two groups of students. SPSS 23.0 was used for t test and chi-square test. Results:After receiving the integrated situational simulation teaching model based on "Internet+" for clinical clerkship, the research group achieved significantly higher theoretical test scores than the control group [(83.62±4.95) vs. (72.93±4.70), t=8.43, P<0.001]. The scores of all items in the mini-clinical evaluation exercise of the research group were higher than those of the control group ( P<0.01). According to the teaching feedback questionnaire, all students were satisfied with this new teaching model and reported that this model increased their interest in learning. Moreover, 86.21% (25/29) and 96.55% (28/29) of the students believed that the new model not only improved learning efficiency but also facilitated the integration of theory and practice. Conclusions:The integrated situational simulation teaching model based on "Internet+" is feasible in obstetrics and gynecology clinical clerkship and contributes to enhancing the quality of clinical clerkship teaching. This model is worthy of further research and promotion.

Purpose To explore the clinical value of screening for partial agenesis of the corpus callosum(PACC)via measuring the distance from the end of the fetal corpus callosum to the occipital bone.Materials and Methods A Prospective study were performed from October 2017 to April 2023 in Ji’an Maternal and Child Health Care Hospital and Jiangxi Maternal and Child Health Hospital.A total of 33 PACC fetuses(abnormal group)and 396 normal fetuses(normal group)were selected as the research subjects.The distance(Z value)from the terminal posterior edge of the corpus callosum to the occipital bone was measured,Z value was calculated and compared between groups.The truncation value and related diagnostic efficiency indexes were calculated by receiver operator characteristic curve analysis,and the positive rate of Z value of abnormal group was compared with that of indirect signs.Results The distance from the terminal posterior edge of the corpus callosum to the occipital bone was positively correlated with the gestational age(r=0.913,P<0.001).The best regression equation was that the distance from the terminal posterior edge of the corpus callosum to the occipital bone was 3.879+1.115×gestational age,and the standard deviation was 1.670.The results of mean comparison showed that the Z value of the abnormal group was significantly higher than that of the normal group(t=11.223 9,P<0.001).When Z value 2.199 7 was used as the cut-off value for the diagnosis of PACC,the area under the curve was 0.9981,the Yoden index was 0.959 6,and the sensitivity,specificity,positive and negative predictive values were 96.97%,98.99%,88.89%and 99.75%,respectively.The positive rate of Z value in abnormal group was significantly higher than that of indirect signs(96.97%vs.63.64%,χ2=7.692 3,P<0.01).Conclusion The distance from the terminal posterior edge of corpus callosum to the occipital bone of PACC fetus is larger than that of normal fetus.The increase of Z value indicates that the end of corpus callosum moves forward,which can be used as one of the basis for screening PACC,and it has high clinical value when Z value 2.199 7 is used as the cut-off value for PACC screening.

Objective To explore the relationship between the degree of compression and shape grading of the cerebral cistern ambiens in hypertensive cerebral hemorrhage(HCH)patients after neural endoscopic intracranial hematoma evacuation(NEIHE)and prognosis.Methods 246 HCH patients who underwent NEIHE surgery from January 2020 to June 2023 were selected as the research subjects.According to the postoperative 6 month Glasgow outcome score(GOS),the patients were divided into good prognosis group(n=158)and poor prognosis group(n=88).Hierarchical regression model was used to analyze the relationship between clinical pathological features and the degree of compression and shape grading of the cerebral cistern ambiens.Multivariate logistic regression model was used to analyze the independent risk factors affecting the poor prognosis of patients with HCH after NEIHE,and a prediction model was constructed.Receiver operating characteristic curve(ROC curve)was drawn with poor prognosis as the outcome variable.Area under the curve(AUC),integrated discrimination improvement(IDI)and net reclassification improvement(NRI)of different prediction models were compared.Hosmer-Lemeshow was used to test the goodness of fit.Generalized additive model(GAM)was used to analyze the relationship between GOS and related factors.Results Compared with the good prognosis group,the poor prognosis group had more preoperative blood loss,lower preoperative Glasgow coma score(GCS),and higher proportion of patients with midline deviation,hypertension history ≥10 years,hemorrhage breaking into the brain ventricle,and operation time in the late stage,the differences were statistically significant(P＜0.05).Compared with the good prognosis group,the proportions of patients with ipsilateral and contralateral cerebral cistern ambiens compression of 3 to 4 points and the morphological classification of cerebral cistern ambiens of grade V in the poor prognosis group were higher,and the differences were statistically significant(P＜0.05).The location of bleeding,midline deviation,and intracranial pressure all had an impact on the degree of compression and morphological grading of the cerebral cistern ambiens,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis(model 2:including the degree of compression and shape grading of the cerebral cistern ambiens)showed that midline deviation,history of hypertension ≥10 years,preoperative bleeding volume＞37 mL,bleeding into the brain ventricles,preoperative GCS＜7 points,late surgical timing,degree of compression of the cerebral cistern ambiens(3 to 4 points on the same side of hematoma,3 to 4 points on the opposite side of hematoma),and grade V morphology were all risk factors influencing the poor prognosis of patients with HCH after NEIHE(P＜0.05).After incorporating the degree of compression and morphological grading of the cerebral cistern ambiens into model 1(excluding the degree of compression and shape grading of the cerebral cistern ambiens),the AUC increased to 0.812(95％CI:0.763～0.872),and both the IDI(0.081,95％CI:0.049～0.095)and NRI(0.611,95％CI:0.510～0.674)of the model improved,with statistically significant differences(P＜0.05).Compared with model 1,model 2 showed an increase in AUC(0.826,95％CI:0.771～0.863),IDI(0.085,95％CI:0.052～0.110),and NRI(0.628,95％CI:0.510～0.709),with statistically significant differences(P＜0.05).The Hosmer-Lemeshow test showed that model 2(P=0.878)had a better fit for predicting poor prognosis than model 1(P=0.691).GAM analysis showed that the higher the degree of compression and morphological grading of the cerebral cistern ambiens,the lower the GOS,and the difference was statistically significant(P＜0.05).ROC curve analysis showed that the combined application of degree of compression and morphological grading of the cerebral cistern ambiens had a high predictive value for poor prognosis,with AUC of 0.935(95％CI:0.890～0.971),sensitivity of 70.26％,and specificity of 93.84％.Conclusion The degree of compression and shape changes of the cerebral cistern ambiens in HCH patients after NEIHE are closely related to prognosis,and the combined application has certain predictive value for poor prognosis.The location of bleeding,midline deviation,intracranial pressure,and other factors significantly affect the compression degree and shape change of the cerebral cistern ambiens.

The integration of science and education is not only an important strategy for promoting social progress and technological development,but also a modern form of higher education aiming at cultivating innovative talents.Conducting scientific research training for undergraduate medical students is one of the important ways to cultivate their innovative abilities and comprehensive qualities.Our team proposed a"teaching,science,and ideology trinity"teaching model to comprehensively cultivate students' scientific research comprehensive abilities under the value orientation of ideological and political education by or-ganically integrating molecular biology experimental teaching with the scientific research training of under-graduate medical students.In this teaching activity,taking the experiment of gene polymorphism as an example,our team selected students with research potential from the whole grade and divided them into 4 project groups that were instructed by 4 teachers.The students were trained in the whole process of scien-tific research,including topic selection,project writing,experimental designing,application for research ethics,and project summary.Our team has always adhered to student-contentedness of educational con-cepts to stimulate students' intrinsic motivation throughout the teaching process.Students are the design-ers and implementers of the project,and teachers are only guides and promoters of learning.After this training,students not only became familiar with the writing and implementation of scientific research pro-jects,but also improved their literature reading,experimental designing,experimental skills,and prob-lem-solving abilities.More importantly,this teaching activity also cultivated students' awareness of re-search ethics and academic moral standards.

Objective:To develop and evaluate a deep learning-based automatic measurement model for panoramic ultrasound biomicroscopy (UBM) images.Methods:A diagnostic test study was conducted.Preoperative UBM examination results of 372 patients who underwent implantable collamer lens (ICL) implantation were collected at the Eye Center of Renmin Hospital of Wuhan University between February 2021 and March 2023.A total of 1 368 panoramic UBM images were obtained to establish an image database.The dataset was divided into a training set (760 images), a validation set (86 images) and an internal test set (522 images).An expert panel consisting of three ophthalmologists annotated the images.The UNet+ + network was used to automatically segment anterior segment tissues, such as the cornea, lens and iris.In addition, image processing techniques and geometric localization algorithms were developed to automatically identify the anatomical landmarks of pupil diameter (PD), anterior chamber depth (ACD), angle-to-angle distance (ATA) and sulcus-to-sulcus distance (STS) to complete the measurement of these parameters.Additionally, 480 panoramic UBM images of 135 patients (240 eyes) from Aier Eye Hospital of Wuhan University were used as an external test set to further evaluate the performance of the model in different centers.The consistency between the measurements from the model and expert panel, the Pentacam system was assessed.Finally, 150 images were randomly selected from the external test set for a human-machine comparison to further evaluate the model's performance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109) and Aier eye Hospital of Wuhan University (No.2023IRBKY120903).Written informed consent was obtained from each subject.Results:In the internal test dataset and external test dataset, with manual labeling as the reference standard, the model achieved a mean Dice coefficient of not less than 0.882.At least 95.65% of the anatomical landmark localization results had Euclidean distance differences within 250 μm.The intraclass correlation coefficients (ICCs) for the measurements of PD, ACD, angle-to-angle ATA, and STS were at least 0.958, with mean relative errors not exceeding 2.407%.With the Pentacam measurements as the reference standard, the ICCs for PD in the internal and external test sets were 0.540 and 0.466, respectively, while the ICCs for ACD were 0.946 and 0.908, respectively.In the human-machine comparison, the ICCs between the model's measurements and those of senior experts were all not lower than 0.969.Conclusions:The deep learning-based model can automatically measure anterior segment parameters from preoperative panoramic UBM images of patients undergoing ICL surgery.The model demonstrates a consistency comparable to that of senior experts, while providing higher efficiency.In terms of ACD measurement, the model shows good agreement between the measurements obtained from the model and Pentacam system.