Optimizing charge state distribution is a prerequisite for accurate protein biomarker quantification with LC-MS/MS, as illustrated by hepcidin measurement

Author:

Schmitz Ellen M.H.1234,Leijten Niels M.123,van Dongen Joost L.J.13,Broeren Maarten A.C.14,Milroy Lech G.3,Brunsveld Luc13,Scharnhorst Volkher123,van de Kerkhof Daan125

Affiliation:

1. Expert Center Clinical Chemistry Eindhoven , Eindhoven , The Netherlands

2. Catharina Hospital Eindhoven , Clinical Laboratory , Eindhoven , The Netherlands

3. Eindhoven University of Technology , Department of Biomedical Engineering , Laboratory of Chemical Biology and Institute for Complex Molecular Systems , Eindhoven , The Netherlands

4. Máxima Medical Center Veldhoven , Clinical Laboratory , Veldhoven , The Netherlands

5. Algemeen Klinisch Laboratorium Catharina Ziekenhuis , Michelangelolaan 2 , 5623 EJ Eindhoven , The Netherlands

Abstract

Abstract Background: Targeted quantification of protein biomarkers with liquid chromatography-tandem mass spectrometry (LC-MS/MS) has great potential, but is still in its infancy. Therefore, we elucidated the influence of charge state distribution and matrix effects on accurate quantification, illustrated by the peptide hormone hepcidin. Methods: An LC-MS/MS assay for hepcidin, developed based on existing literature, was improved by using 5 mM ammonium formate buffer as mobile phase A and as an elution solution for solid phase extraction (SPE) to optimize the charge state distribution. After extensive analytical validation, focusing on interference and matrix effects, the clinical consequence of this method adjustment was studied by performing receiving operating characteristic (ROC)-curve analysis in patients with iron deficiency anemia (IDA, n=44), anemia of chronic disease (ACD, n=42) and non-anemic patients (n=93). Results: By using a buffered solution during sample preparation and chromatography, the most abundant charge state was shifted from 4+ to 3+ and the charge state distribution was strongly stabilized. The matrix effects which occurred in the 4+ state were therefore avoided, eliminating bias in the low concentration range of hepcidin. Consequently, sensitivity, specificity and positive predictive value (PPV) for detection of IDA patients with the optimized assay (96%, 97%, 91%, respectively) were much better than for the original assay (73%, 70%, 44%, respectively). Conclusions: Fundamental improvements in LC-MS/MS assays greatly impact the accuracy of protein quantification. This is urgently required for improved diagnostic accuracy and clinical value, as illustrated by the validation of our hepcidin assay.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry, medical,Clinical Biochemistry,General Medicine

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