2型糖尿病临床血清样本的内源性多肽定量组学分析

doi:10.3724/SP.J.1123.2019.03012

色谱 ›› 2019, Vol. 37 ›› Issue (8): 853-862.DOI: 10.3724/SP.J.1123.2019.03012

2型糖尿病临床血清样本的内源性多肽定量组学分析

牛欢^1,2, 张红燕¹, 彭佳喜^1,2, 王莉¹, 赵兴云^1,2, 周孝禹^1,2, 万丽红¹, 吴仁安¹

1. 中国科学院大连化学物理研究所, 辽宁大连 116023;
2. 中国科学院大学, 北京 100049

收稿日期:2019-03-12 出版日期:2019-08-08 发布日期:2015-07-30
通讯作者: 吴仁安
基金资助:
国家自然科学基金（21675156，21375125）；中国科学院仪器开发项目（YZ201503）；中国科学院大连化学物理研究所创新项目（DICPTMSR201601）.

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

NIU Huan^1,2, ZHANG Hongyan¹, PENG Jiaxi^1,2, WANG Li¹, ZHAO Xingyun^1,2, ZHOU Xiaoyu^1,2, WAN Lihong¹, WU Ren'an¹

1. Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China;
2. The University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-03-12 Online:2019-08-08 Published:2015-07-30
Supported by:
National Natural Science Foundation of China (Nos. 21675156, 21375125); Instrument Developing Project of the Chinese Academy of Sciences (No. YZ201503); Innovation Program of Science and Research from the Dalian Institute of Chemical Physics (No. DICP TMSR201601).

摘要/Abstract

摘要： 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。

关键词: 标志物, 多肽组学, 内源性多肽, 糖尿病

Abstract: 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.

Key words: biomarker, diabetes, endogenous peptide, peptidomics

中图分类号:

O658

牛欢, 张红燕, 彭佳喜, 王莉, 赵兴云, 周孝禹, 万丽红, 吴仁安. 2型糖尿病临床血清样本的内源性多肽定量组学分析[J]. 色谱, 2019, 37(8): 853-862.

NIU Huan, ZHANG Hongyan, PENG Jiaxi, WANG Li, ZHAO Xingyun, ZHOU Xiaoyu, WAN Lihong, WU Ren'an. Quantitative endogenous peptidomics analysis of the type-2 diabetic clinical serum samples[J]. Chinese Journal of Chromatography, 2019, 37(8): 853-862.

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2型糖尿病临床血清样本的内源性多肽定量组学分析

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

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