Objective: To establish the aortic regurgitation model in Chinese miniature pigs under echocardiography guidance. Methods: The animal models were established by following steps: general anesthesia, measuring body weight and then receiving echocardiography examination to exclude aortic valve lesions; carotid artery was exposured by surgery, catheter was sent to aortic sinus with stiff guide wire penetrates and the position of catheter was adjusted to obtain aortic valve damage. The aortic valve injury and regurgitation were evaluated by ultrasound; then the pigs were killed and the heart was taken to observe aortic valve damage. Results: A total of 7 pigs were used including 4 male and 3 female with the mean body weight of (24.7 ± 3.6) kg. Aortic regurgitation model was successfully established in 5 pigs including 1 mild, 1 mild-moderate, 2 moderate, 1 severe aortic valve regurgitation, and 4 were with valve lealfets perforation and 1 with lealfets tearing. Conclusion:①Echocardiography can smoothly guide wire go through aortic valve and make valve damage at different degrees, it is reliable to establish aortic valve regurgitation model in experimental pigs.②Echocardiography may clearly identify the position and degree for aortic valve injury.

Objective:To explore the association between suboptimal health status (SHS) and plasma IgG N-glycans levels among undergraduates in a college in Shandong Province.Methods:A case-control study was conducted from September to November 2017, 100 college students who underwent physical examinations at Weifang University in Shandong, were selected as study participants based on the inclasion and exclusion criteria of the study. According to the criteria of SHS, the participants were divided into an SHS group ( n=50) and a health control group ( n=50). Plasma IgG N-glycosylaton levels were analyzed by means of ultra-high liquid chromatography (UPLC), and 24 glycan peaks were obtained. The Mann-Whitney U-test and binary logistic regression analysis were performed to investigate the association between IgG N-glycans and SHS. P<0.05 was considered statistically significant. Receiver operating characteristic (ROC) curve analyses were used to evaluate the possibility of plasma IgG N-glycans being a biomarker of SHS. Results:The results of univariate and multivariate analysis showed that GP17 was associated with SHS ( P<0.05), and the relative abundance of initial glycan peaks (GP17) was higher in the SHS group compared with the control group. ROC curve analysis showed that the area under the curve (AUC) of the baseline model was 0.826 (95% confidence interval [ CI]: 0.747-0.905, P<0.001); the AUC of the glycan-based model was 0.631 (95% CI: 0.519-0.744, P=0.002), and the AUC of the combined model was 0.848 (95% CI: 0.763-0.912, P<0.001). Compared with the baseline model, the diagnostic efficiency of the combined model revealed a trend of improvement. Conclusions:The SHS of the students in a college in Shandong Province was associated with an IgG N-glycan level of GP17, which was significantly higher than that of the control group.