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
Ischemic stroke is one of the major diseases of causing adult disability and death.Age,sex,smoking,hypertension,and diabetes,etc.are the risk factors for ischemic stroke,but they can only partially explain the reasons of stroke onset.Twins,families,and single-gene genetic stroke studies have shown that ischemic stroke has obvious genetic predisposition.In recent years,genomics has made remarkable progress in ischemic stroke study and has shown that many new single nucleotide polymorphisms or genes are associated with ischemic stroke and its risk factors.However,the contribution of these genetic genes for ischemic stroke is still too small and the repetitive studies are needed for further confirmation.
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Nowadays,the disconnection between pre-clinical medicine and clinical medicine exists in the medical postgraduate education.Application of the concept of translational medicine to the postgraduate education will play an important role in the training of medical personnel.This article gives a discussion on the means of training postgraduates by building a platform for translational medicine,reforming the curriculum,improving the research evaluation system and building cooperation among universities,hospitals and enterprises.
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Objective To screen the differentially expressed genes in esophageal squamous cell cancer (ESCC) and normal tissue of esophageal mucosa in Kazakh. Methods RNA was extracted from the ESCC sections in Kazakh patients, and was amplified to obtain cRNA. The gene expression profiles in ESCC and normal tissue of esophageal mucosa were detected by HG-U133 Plus 2.0 gene chip. The results were analyzed by bioinfor-matics. Results One hundred and seventy differentially expressed genes in ESCC and normal tissue of esophageal mucosa were found, with a difference of more than 10 times in expression levels. Of the 170 genes, 39 were up-regulated (signal log ratio > 3 ) and 131 down-regulated (signal log ratio < - 3). These factors such as cell cycle regulation, apoptosis, cytoskeleton; extracellular matrix, intracellular signal transduction, protein translation and synthesis, and immunological functions were correlated with the genes with abnormal expression. Conclusion The use of oligonucleotide microarray accurately and efficiently screen the 170 target genes in ESCC in Kazakh. It is suggested that these genes may be related to the carcinogenesis and development of ESCC in Kazakh.