Development of a reliable analytical method to determine lipid peroxidation biomarkers in newborn plasma samples

被引：16
作者：
Chafer-Pericas, C. [1 ]
Torres-Cuevas, I. [1 ]
Sanchez-Illana, A. [1 ]
Escobar, J. [1 ]
Kuligowski, J. [1 ]
Solberg, R. [3 ]
Garberg, H. T. [3 ]
Huun, M. U. [3 ]
Saugstad, O. D. [3 ]
Vento, M. [1 ,2 ]
机构：
[1] Hlth Res Inst La Fe, Neonatal Res Grp, Valencia, Spain
[2] Univ & Polytech Hosp La Fe, Div Neonatol, Valencia, Spain
[3] Univ Oslo, Oslo Univ Hosp, Dept Pediat Res, N-0316 Oslo, Norway
来源：
TALANTA | 2016年 / 153卷
关键词：
Isoprostanes; Liquid chromatography; Mass spectrometry; Plasma; Newborn; OXIDATIVE STRESS; F-2-ISOPROSTANES; PRODUCTS; RESUSCITATION; INFANTS; MARKERS;
D O I：
10.1016/j.talanta.2016.03.010
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
This paper describes a reliable analytical method based on ultra-performance liquid chromatography coupled to tandem mass spectrometry to determine F2-isoprostanes and other total byproducts (isoprostanes, isofurans, neuroprostanes and neurofurans) as lipid peroxidation biomarkers in newborn plasma samples. The proposed procedure is characterized by a simple sample treatment employing a reduced sample volume (100 mu L). Also, it shows a high throughput and high selectivity to determine simultaneously different isoprostane isomers in a large number of samples. The reliability of the described method was demonstrated by analysis of spiked plasma samples, obtaining recoveries between 70% and 130% for most of the analytes. Taking into account the implementation of further clinical studies, it was demonstrated the proper sensitivity of the method by means of the analysis of few human newborn plasma samples. In addition to this, newborn piglet plasma samples (n=80) were analyzed observing that the developed method was suitable to determine the analyte levels present in this kind of samples. Therefore, this analytical method could be applied in further clinical research about establishment of reliable lipid peroxidation biomarkers employing this experimental model. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：152 / 157
页数：6
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