Optimizing charge state distribution is a prerequisite for accurate protein biomarker quantification with LC-MS/MS, as illustrated by hepcidin measurement
-
Ellen M.H. Schmitz
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.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
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Supplementary Material:
The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2018-0013).
©2018 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Editorials
- Clinical Chemistry and Laboratory Medicine continues to shine brightly in the constellation of laboratory medicine
- The Theranos saga and the consequences
- Innovative approaches in diabetes diagnosis and monitoring: less invasive, less expensive… but less, equally or more efficient?
- Reviews
- Exploring the microbiota to better understand gastrointestinal cancers physiology
- Linking type 2 diabetes and gynecological cancer: an introductory overview
- Mini Reviews
- MicroRNAs as predictive biomarkers of response to tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma
- Salivary biomarkers and cardiovascular disease: a systematic review
- Opinion Paper
- The meteoric rise and dramatic fall of Theranos: lessons learned for the diagnostic industry
- General Clinical Chemistry and Laboratory Medicine
- Uncertainty evaluation in clinical chemistry, immunoassay, hematology and coagulation analytes using only external quality assessment data
- Measurement uncertainty and metrological traceability of whole blood cyclosporin A mass concentration results obtained by UHPLC-MS/MS
- Computer-assisted interventions in the clinical laboratory process improve the diagnosis and treatment of severe vitamin B12 deficiency
- Trueness, precision and stability of the LIAISON 1-84 parathyroid hormone (PTH) third-generation assay: comparison to existing intact PTH assays
- Fibroblast growth factor 23 and renal function among young and healthy individuals
- Optimizing charge state distribution is a prerequisite for accurate protein biomarker quantification with LC-MS/MS, as illustrated by hepcidin measurement
- Quantification of human complement C2 protein using an automated turbidimetric immunoassay
- EE score: an index for simple differentiation of homozygous hemoglobin E and hemoglobin E-β0-thalassemia
- Reference Values and Biological Variations
- Algorithm on age partitioning for estimation of reference intervals using clinical laboratory database exemplified with plasma creatinine
- A simple transformation independent method for outlier definition
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- Quantification of vanillylmandelic acid, homovanillic acid and 5-hydroxyindoleacetic acid in urine using a dilute-and-shoot and ultra-high pressure liquid chromatography tandem mass spectrometry method
- Cardiovascular Diseases
- Sialylated isoforms of apolipoprotein C-III and plasma lipids in subjects with coronary artery disease
- Diabetes
- Analysis of protein glycation in human fingernail clippings with near-infrared (NIR) spectroscopy as an alternative technique for the diagnosis of diabetes mellitus
- Letter to the Editor
- Preanalytical errors before and after implementation of an automatic blood tube labeling system in two outpatient phlebotomy centers
- Hemolysis interference studies: freeze method should be used in the preparation of hemolyzed samples
- The curious case of postprandial glucose less than fasting glucose: little things that matter much
- Finding best practice in internal quality control procedures using external quality assurance performance
- Evaluation of the analytical performance of a new ADVIA immunoassay using the Centaur XPT platform system for the measurement of cardiac troponin I
- Reference ranges of the Sebia free light chain ratio in patients with chronic kidney disease
- Antigen excess detection by automated assays for free light chains
- Multiple myeloma and macro creatine kinase type 1: the first case report
- Comparison of five cell-free DNA isolation methods to detect the EGFR T790M mutation in plasma samples of patients with lung cancer
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