期刊
ANALYTICA CHIMICA ACTA
卷 996, 期 -, 页码 88-97出版社
ELSEVIER
DOI: 10.1016/j.aca.2017.09.026
关键词
Oxidative stress biomarkers
资金
- Instituto Carlos III [FISPI14/0433]
- Institute of Translational Medicine & Therapeutics (ITMAT), National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), Imperial College London [P60743]
- Research Network on Maternal and Child Health and Development Retic Red SAMID [RD12/0026/11]
- FEDER - European Union (Instituto Carlos III, Ministry of Economy and Competitiveness, Spain)
- Conselleria de Educacion, Investigacion, Cultura y Deporte of the Generalitat Valenciana [GV 2016/062]
- Instituto Carlos III (Ministry of Economy and Competitiveness, Spain) [CP16/00034, FI16/00380]
- Spanish Ministry of Health, Social Services and Equality [EC11-246]
- MRC [MR/R001375/1] Funding Source: UKRI
- Medical Research Council [MR/R001375/1] Funding Source: researchfish
- National Institute for Health Research [NIHR/CS/010/022] Funding Source: researchfish
Oxidative stress derived from perinatal asphyxia appears to be closely linked to neonatal brain damage and lipid peroxidation biomarkers have shown to provide predictive power of oxidative stress related pathologies in situations of hypoxia and reoxygenation in the newborn. The objective of this work was to develop and validate of a comprehensive liquid chromatography tandem mass spectrometry approach for the quantitative profiling of 28 isoprostanoids in newborn plasma samples covering a broad range of lipid peroxidation product classes. The method was developed taking into account the specific requirements for its use in neonatology (i.e. limited sample volumes, straightforward sample processing and high analytical throughput). The method was validated following stringent FDA guidelines and was then applied to the analysis of 150 plasma samples collected from newborns. Information obtained from the quantitative analysis of isoprostanoids was critically compared to that provided by a previously developed approach aiming at the semi-quantitative detection of total parameters of fatty acid derived lipid peroxidation biomarkers. (C) 2017 Elsevier B.V. All rights reserved.
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