Ultra-high-performance liquid chromatography-mass spectrometry method for neutrophil gelatinase-associated lipocalin as a predictive biomarker in acute kidney injury.
AKI
NGAL
Targeted proteomics
UHPLC-MS/MS
Journal
Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R
Informations de publication
Date de publication:
01 Apr 2019
01 Apr 2019
Historique:
received:
13
07
2018
revised:
14
11
2018
accepted:
16
11
2018
entrez:
11
1
2019
pubmed:
11
1
2019
medline:
21
3
2019
Statut:
ppublish
Résumé
Neutrophil gelatinase associated lipocalin (NGAL) is a protein that was found to be overexpressed in acute kidney injury (AKI). The rise in NGAL concentration, both in urine or plasma, appears earlier than for other classical renal function markers such as serum creatinine, thus making it a suitable marker for early pathology detection. The aim of this study was to develop a method involving tryptic digestion, solid phase extraction and LC-MS/MS analysis to analyze NGAL in plasma medium using an isotope labeled surrogate protein, containing NGAL signature tags, as internal standard (QPrEST). The method was validated for the analysis of NGAL in an analytical range from 50 to 1250 ng/mL using two different proteotypic peptides. The method was further used to quantify the NGAL in human plasma samples for whom elevated NGAL values were expected. NGAL values were between 190.8 and 242.6 ng/mL for control group and between 228.1 and 3526.2 ng/mL for patient group. This study proved that the selection of the right internal standard is of utmost importance in targeted proteomics studies as the digestion steps might cause high variability. This study also confirmed that, although NGAL is highly resistant to proteases such as trypsin, the method could be fully validated according to FDA guidelines and subsequently used to assess NGAL levels in patient plasma with high analytical confidence.
Identifiants
pubmed: 30625599
pii: S0039-9140(18)31201-3
doi: 10.1016/j.talanta.2018.11.050
pii:
doi:
Substances chimiques
Biomarkers
0
LCN2 protein, human
0
Lipocalin-2
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
668-675Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.