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全面分析和动力学研究人血清白蛋白中糖化赖氨酸残基。

Comprehensive profiling and kinetic studies of glycated lysine residues in human serum albumin.

机构信息

Department of Pathology & Anatomical Sciences, School of Medicine, University of Missouri, 1 Hospital Drive, Columbia, MO, 65212, USA.

出版信息

Anal Bioanal Chem. 2022 Jul;414(17):4861-4875. doi: 10.1007/s00216-022-04108-1. Epub 2022 May 11.

Abstract

Lysine residues of proteins slowly react with glucose forming Amadori products. In hyperglycemic conditions, such as diabetes mellitus, this non-enzymatic glycation becomes more pervasive causing severe medical complications. The structure and conformation of a protein predisposes lysine sites to differing reactivity influenced by their steric availability and amino acid microenvironment. The goal of our study was to identify these sites in albumin and measure glycation affinities of lysine residues. We applied a bottom-up approach utilizing a combination of three LC-MS instruments: timsTOF, Orbitrap, and QTRAP. To prove applicability to samples of varying glycemic status, we compared in vitro glycated and non-glycated HSA, as well as diabetic and non-diabetic individual samples. The analysis of lysine glycation affinities based on peptide intensities provide a semi-quantitative approach, as the results depend on the mass spectrometry platform used. We found that glycation levels based on multiple reaction monitoring (MRM) quantitation better reflect individual glycemic status and that the glycation percentage for each site is in linear relation to all other sites. To develop an approach which more accurately reflects glycation affinity, we developed a kinetics model which uses results from stable isotope dilution HPLC-MRM methodology. Through glycation of albumin at different glucose concentrations, we determine the rate constants of glycation for every lysine residue by simultaneous comparative analysis.

摘要

蛋白质中的赖氨酸残基与葡萄糖缓慢反应,形成 Amadori 产物。在高血糖状态下,如糖尿病,这种非酶糖化变得更加普遍,导致严重的医疗并发症。蛋白质的结构和构象使赖氨酸位点具有不同的反应性,这受到其空间可用性和氨基酸微环境的影响。我们研究的目的是确定白蛋白中的这些位点,并测量赖氨酸残基的糖化亲和力。我们采用了一种自下而上的方法,结合了三种 LC-MS 仪器:timsTOF、Orbitrap 和 QTRAP。为了证明该方法适用于不同血糖状态的样本,我们比较了体外糖化和非糖化 HSA,以及糖尿病和非糖尿病个体样本。基于肽强度的赖氨酸糖化亲和力分析提供了一种半定量方法,因为结果取决于所使用的质谱平台。我们发现,基于多重反应监测 (MRM) 定量的糖化水平更好地反映了个体的血糖状态,并且每个位点的糖化百分比与所有其他位点呈线性关系。为了开发一种更能准确反映糖化亲和力的方法,我们开发了一种动力学模型,该模型使用稳定同位素稀释 HPLC-MRM 方法学的结果。通过在不同葡萄糖浓度下糖化白蛋白,我们通过同时进行比较分析,确定每个赖氨酸残基的糖化速率常数。

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