ABSTRACT
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.
ABSTRACT
Increasingly more people are in a state between health and disease due to different life styles, which modern medicine calls “suboptimal health”. If the suboptimal health state lasts too long and not interfered in time, it will eventually progress to disease. Early identification of suboptimal health status and early intervention are important for preventing diseases and restoring a healthy state. There are many ways for detecting suboptimal health. A more objective method to diagnose suboptimal health status is by experimental indicators of laboratory medicine. However, there are difficulties in establishing the parameters and reference value ranges in laboratory detection of suboptimal health, and laboratory medicine needs to combine big data analysis and machine learning to make a scientific evaluation of suboptimal health status.
ABSTRACT
Psychological suboptimal health status is an intermediate state between mental health and mental disease.Without timely intervention,psychological suboptimal health may develop into serious diseases that pose a threat to human physical and mental health,such as depression,anxiety disorders and high blood pressure.This review summarizes the scientific concepts,diagnostic Criteria,intervention and pharmacological research of psychological suboptimal health from the perspective of both modern medicine and traditional Chinese medicine and proposes possible solutions to existing problems in order to contribute to the identification,diagnosis,prevention and treatment of psychological suboptimal health.