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首页> 外文期刊>Analytical methods >Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based profiling as a step forward in the characterization of peritoneal dialysis effluent
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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based profiling as a step forward in the characterization of peritoneal dialysis effluent

机译:基于基质辅助激光解吸/电离飞行时间质谱的分析,这是表征腹膜透析流出物的新进展

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摘要

The aim of this study was to differentiate patients with glomerulonephritis and diabetic nephropathy using (i) peritoneal dialysate effluent, (ii) matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and (iii) bioinformatics tools. Profiles of peritoneal dialysate effluent were obtained using (a) sample preparation consisting of protein concentration through centrifugal concentrators and chemical-assisted protein depletion using DL-dithiothreitol, and (b) MALDI-TOF MS. A free open-source bioinformatics tool, Mass-UP, was used to classify such profiles using principal component analysis and hierarchical clustering. The methodology proposed here allows for classifying two different groups of patients with kidney failure, one with chronic glomerulonephritis and other with diabetic nephropathy.
机译:这项研究的目的是使用(i)腹膜透析液,(ii)基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)和(iii)生物信息学来区分肾小球肾炎和糖尿病肾病患者工具。使用以下方法获得腹膜透析液流出物的轮廓:(a)样品制备,其中包括通过离心浓缩器浓缩蛋白质和使用DL-二硫苏糖醇的化学辅助蛋白质消耗法,以及(b)MALDI-TOF MS。一个免费的开放源代码生物信息学工具Mass-UP被用于使用主成分分析和层次聚类对这些概况进行分类。此处提出的方法可以对患有肾衰竭的两组不同患者进行分类,一组患有慢性肾小球肾炎,另一组患有糖尿病肾病。

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