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开发一种用于 LC-MS/MS 分析糖化肽的自动化高通量样品制备方法。

Development of an automated high-throughput sample preparation protocol for LC-MS/MS analysis of glycated peptides.

机构信息

College of Pharmacy, Gachon University, 191 Hambangmoe-ro, Yeonsu-gu, Incheon 21936, Republic of Korea.

Department of Neurology, Gachon University Gil Medical Center, 21 Namdongdae-ro 774beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Aug 15;1092:88-94. doi: 10.1016/j.jchromb.2018.05.036. Epub 2018 May 25.

Abstract

Advanced glycation end products (AGEs) are known to play a leading part in the pathogenesis of human diseases, such as diabetes, Alzheimer's disease, lateral sclerosis, and atherosclerosis. It is for this reason that research on AGEs is crucial and large-scale studies are needed for the treatment of diseases. The aim of this study was to develop a reproducible method to analyze Amadori compounds using an automated enrichment protocol for high-throughput analysis of clinical samples. The developed method enabled the enrichment of Amadori compounds simultaneously from 96 samples, and it was applied to the discovery of biomarkers in AGEs related diseases. In this study, ten human serum samples were processed using automated filter-aided sample preparation (aFASP) in a 96-well filter plate, and the eluted peptide mixtures were enriched by Affinity Cellufine PB in a fritted 96-well filter plate using a liquid handling robotic system. The eluted glycated peptides were analyzed by a liquid chromatography-tandem mass spectrometry (LC-MS/MS) system. A total of 982 unique glycated peptides, corresponding to 524 unique glycated proteins, were identified from the analysis of ten human samples. The advantages and potentials of the automated sample preparation system were demonstrated through label free quantification of the glycated peptides.

摘要

糖基化终产物(AGEs)已知在人类疾病的发病机制中起主要作用,例如糖尿病、阿尔茨海默病、侧索硬化症和动脉粥样硬化。正是出于这个原因,对 AGEs 的研究至关重要,需要进行大规模的研究来治疗这些疾病。本研究旨在开发一种可重现的方法,使用自动化富集方案分析 Amadori 化合物,以高通量分析临床样本。所开发的方法能够同时从 96 个样品中富集 Amadori 化合物,并将其应用于发现与 AGEs 相关疾病的生物标志物。在这项研究中,使用自动化过滤辅助样品制备(aFASP)在 96 孔过滤板中处理 10 个人血清样品,并用液体处理机器人系统在带有滤嘴的 96 孔过滤板上的 Affinity Cellufine PB 中对洗脱的肽混合物进行富集。用液相色谱-串联质谱(LC-MS/MS)系统分析洗脱的糖化肽。从对十个人类样本的分析中,鉴定出了 982 种独特的糖化肽,对应于 524 种独特的糖化蛋白。通过对糖化肽进行无标记定量,证明了自动化样品制备系统的优势和潜力。

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