Objective: To explore the intervention effects of high intensity interval training (HIIT) on glucose metabolism, cortisol (Cor), and sleep quality among college students with comorbid depressive symptoms and obesity, so as to provide a reference for improving sleep quality among college students with comorbid depressive symptoms and obesity. Methods: In March 2023, 45 college students with comorbid depressive symptoms and obesity were recruited and randomly assigned to an exercise group ( n =23) and a control group ( n =22) by random number table method. The exercise group received HIIT intervention for 12 weeks, three times a week, while the control group received no intervention. Blood samples were collected from participants to measure fasting insulin (FINS), fasting blood glucose (FBG), homeostatic model assessment of insulin resistance (HOMA-IR), Cor, and Pittsburgh Sleep Quality Index (PSQI) before and after intervention. Statistical analysis was performed using t-test, repeated measures analysis of variance (ANOVA), simple effect analysis. Results: The repeated measures ANOVA revealed statistically significant time×group interaction effects for body composition (weight, body mass index, percentage of body fat, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its subdimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), as well as FBG, FINS, and HOMA-IR between the exercise group and control group before and after intervention ( F =7.10-53.38, all P <0.05). Simple effect analysis showed that compared to the control group, the exercise group demonstrated significant improvements in body composition (body mass index, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its sub dimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), FBG, FINS, HOMA-IR, and Cor (all P <0.05). Conclusion HIIT can improve the sleep quality of college students with comorbid depressive symptoms and obesity by enhancing glucose metabolism and regulating Cor levels.

Objective:The DNA aptamers of lipoprotein-associated phospholipase A2 (Lp-PLA2), a marker of vasculitis, were screened and a visual detection method using unlabeled nucleic acid aptamer-gold nanoparticle (AuNP) probe was established.Method:Lp-PLA2 aptamers were screened through 8 cycles of incubation binding, ssDNA isolation, PCR amplification and single strand recovery by the magnetic bead fixation SELEX technique. The affinity and specificity of the aptamers were validated using surface plasmon resonance technology and flow cytometry, and the secondary structure of the aptamer and its three-dimensional molecular docking with the target protein were simulated by computer software. Subsequently, aptamer-AuNP complex was prepared, and the color change was caused by salt-induced condensation of the AuNP solution by target competitive binding. Then, the target concentration was detected by measuring the absorbance of the solution with a spectrophotometer. The linear relationship between the sample absorbance and concentration of Lp-PLA2 were established under the optimal determine conditions.Results:Three Lp-PLA2 aptamers B76-2, B76-4 and B76-5 with high affinity and strong specificity were obtained, and the dissociation constants were 1.07, 1.26 and 1.75 nmol/L, respectively. Then AuNP colorimetric sensing method based on B76-2 aptamer was successfully constructed. The linear range and detection limit of Lp-PLA2 were 20-500 ng/ml and 78 ng/ml, respectively, and the reaction time was 30 min, which could specifically distinguish the target from other thrombotic markers such as thrombin and myeloperoxidase.Conclusion:A simple, rapid and specific visual detection method for visually detecting Lp-PLA2 was established by using aptamer-AuNP colorimetric assay.