2型糖尿病临床血清样本的内源性多肽定量组学分析

糖尿病是一种全身性代谢紊乱综合征,患者高血糖的形成与肝脏、胰脏、肠道、脂肪肌肉组织、肾脏、脑等多脏器的功能失调相关。在分子水平上呈现糖尿病的生物分子疾病谱图对糖尿病的临床早期诊断、分子分型及其病理过程的理解可提供更加全面的数据支持。本工作应用多肽组学分析技术,针对健康组、糖尿病前期组和2型糖尿病患者组临床血清样品进行内源性多肽定性、定量分析,共鉴定到690条可靠血清内源性肽段,其中163条为统计学差异血清内源性多肽,为2型糖尿病早期筛查、早期诊断及分子分型等提供了定量多肽组支持。

Quantitative endogenous peptidomics analysis of the type-2 diabetic clinical serum samples

Diabetes is a systemic metabolic disorder syndrome, mainly characterized by hyperglycemia, and is associated with the dysfunction of various organs, such as liver, pancreas, intestine, adipose muscle tissue, kidney and brain. It has become a global epidemic disease that seriously threatens human health. Therefore, mapping the global molecular signatures of diabetes-related disease spectrum can provide more comprehensive data to understand early clinical diagnosis, molecular typing, and pathological processes involved in diabetes mellitus. In this study, we performed a quantitative differential analysis on the endogenous peptidome of the serum samples obtained from healthy, prediabetes and type 2 diabetes groups to explore the peptidomics evolution in the development of diabetes. Partial least squares-discriminant analysis (PLS-DA) was used for pattern recognition. A nonparametric test was examined to find out the significantly changed endogenous peptides. As a result, 690 serum endogenous peptides were identified totally, among which 163 endogenous peptides were statistically different among the three groups. This could be promising quantitative peptidomics data for early screening, diagnosis and molecular typing of type 2 diabetes mellitus.