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Analytical validation of protein biomarkers for risk of spontaneous preterm birth
Author(s) -
Chad Bradford,
Rob Severinsen,
Trina Pugmire,
Matison Rasmussen,
Kathryn Stoddard,
Yuta Uemura,
Spencer Wheelwright,
Marija Mentinova,
Daniel Chelsky,
Stephen W. Hunsucker,
Paul Kearney,
Durlin E. Hickok,
Tracey C. Fleischer,
Ilia Ichetovkin,
J. Jay Boniface,
Gregory C. Critchfield,
John M. Peltier
Publication year - 2017
Publication title -
clinical mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.473
H-Index - 8
eISSN - 2376-9998
pISSN - 2213-8005
DOI - 10.1016/j.clinms.2017.06.002
Subject(s) - analyte , detection limit , chromatography , tandem mass spectrometry , peptide , chemistry , mass spectrometry , computational biology , biology , biochemistry
Presented are the validation results of a second-generation assay for determining the relative abundances of two protein biomarkers found in maternal serum that predict an individual’s risk of spontaneous preterm birth. The sample preparation workflow is complex, consisting of immuno-depletion of high-abundance serum proteins, tryptic digestion of the immuno-depleted fraction to generate surrogate peptide analytes, and detection by tandem mass spectrometry. The method was determined to be robust on observation of the following characteristics: classifier peptide detection precision was excellent; results were accurate when compared to a reference method; results were linear over a clinically relevant range; the limits of quantitation encompassed the range of expected results; and the method demonstrated analytical specificity and resilience to differences in patient serum and common endogenous interferents.

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