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Aging is a pressing global health issue that is linked to various diseases, such as diabetes and Alzheimer’s disease. It is well known that glycation plays a pathological role in the aging process and age-related diseases. Thus, it is of great significance to discover protein glycation at an early stage for monitoring and intervention in the aging process. However, the endogenous age-related early-stage glycated proteome remains insufficiently profiled. To address this research gap, our study focuses on assessing glycated proteomics profiles in the serum of mice. We employ a robust and quantitative strategy previously developed by our team, to analyze endogenous glycated proteome in serum samples of 4 age groups of mice (10 weeks, 16 weeks, 48 weeks and 80 weeks). In total, 2959 endogenous glycated peptides corresponding to 296 serum proteins are identified from 48 runs of serum samples from 16 mice across the four age groups. By comparing these glycated peptides between adjacent age groups, we discover 49 glycated peptides from 35 proteins that show significant upregulation between the 48-week and 80-week age groups. Furthermore, we identify 10 glycated proteins (or protein groups) that are significantly upregulated only between the 48-week and 80-week age groups, including lecithin-cholesterol acyltransferase (LCAT) and apolipoprotein A-II (Apo A-II). These novel findings provide unique signatures for understanding the aging process and age-related diseases. By shedding light on the early-stage glycated proteome, our study contributes valuable insights that may have implications for future interventions and therapeutic approaches.

ObjectiveTo investigate the value of real-time 3-dimensional （RT-3D） transvaginal ultrasound in evaluating the direction and frequency of endometrial peristalsis. MethodsTransvaginal RT-3D ultrasound was conducted in 122 non-menopausal female volunteers recruited in the Affiliated Hospital of Nanjing University of Chinese Medicine from December 2021 to May 2022. A total of 174 dynamic videos （2min） of sagittal and coronal planes of the uterus were obtained, which were played at 8-time speed and then evaluated by two observers for the direction and frequency of endometrial peristalsis. ResultsThere was a high degree of agreement between two observers in the assessment of peristaltic direction of the anterior and posterior walls on the sagittal plane and the left wall, right wall and uterine fundus on the coronal plane, with kappa values of 0.739, 0.768, 0.670, 0.687 and 0.614, respectively （P＜0.01）. There was no significant difference in the peristaltic frequency among the walls on the sagittal and coronal planes （P＞0.05）. There was a good agreement between two observers for the evaluation of peristaltic frequency at each wall ,with intra-group correlation coefficients of 0.888, 0.899, 0.828, 0.853 and 0.858, respectively for the anterior and posterior walls in the sagittal plane and the left wall, right wall and uterine fundus in the coronal plane （P＜0.01）. ConclusionRT-3D ultrasound can emerge the uterine peristalsis on the coronal plane and judge the peristaltic direction of the uterine fundus. The technique is highly reproducible and is a new and reliable method for evaluating the direction and frequency of uterine peristalsis.

Objective: To explore the correlation between insomnia and language ability in patients with schizophrenia. Methods: 120 patients with schizophrenia admitted to our hospital from June 2020 to January 2022 were enrolled as the research objects. According to the total score of the Pittsburgh Sleep Index (PSQI), they were divided into the insomnia group (PSQI total score > 10 points) and the non-insomnia group (PSQI total score ≤ 10 points). To compare the difference in verbal fluency scale between insomnia and non-insomnia groups and to understand the correlation between insomnia symptoms and language ability in patients with schizophrenia. Results: There were no significant differences in age, gender, and years of education between the insomnia group and the non-insomnia group (P > 0.05). The total score of the verbal fluency test (VFT) in the insomnia group was significantly different from that in the non-insomnia group (P

With the popularization of the air conditioning, its reliability during operation has gradually become a focus of attention. However, due to the uncertainty in the reliability analysis process, the accuracy of the results will be affected. To overcome this challenge, a method for air conditioner reliability analysis combining Dynamic Bayesian Network (DBN) and Markov Model (MM) is proposed. Firstly, orthogonal defect classification (ODC) is used to statistic and analyze the defect data of the air conditioning system, and the network structure of the DBN is determined based on the results of the analysis. Then, the state transfer probability of each node is obtained by MM, and then the reliability, steady state availability, and maintainability of the air conditioning system are analyzed. Finally, the effectiveness of the method is verified by a case study of air conditioning failure data. The results show that the steady state availability of the air conditioning system in this case is 0.996.