Abstract
Purpose: Saliva is an attractive sample source for the biomarker-based testing of several diseases, especially oral cancer. Here, we sought to apply multiplexed LC-MRM-MS to precisely quantify 90 disease-related proteins and assess their intra- and interindividual variability in saliva samples from healthy donors. Experimental design: We developed two multiplexed LC-MRM-MS assays for 122 surrogate peptides representing a set of disease-related proteins. Saliva samples were collected from 10 healthy volunteers at three different time points (Day 1 morning and afternoon, and Day 2 morning). Each sample was spiked with a constant amount of a 15 N-labeled protein and analyzed by MRM-MS in triplicate. Quantitative results from LC-MRM-MS were calculated by single-point quantification with reference to a known amount of internal standard (heavy peptide). Results: The CVs for assay reproducibility and technical variation were 13 and 11%, respectively. The average concentrations of the 99 successfully quantified proteins ranged from 0.28 ± 0.58 ng mL −1 for profilin-2 (PFN2) to 8.55 ±8.96 μg mL −1 for calprotectin (S100A8). For the 90 proteins detectable in >50% of samples, the average CVs for intraday, interday, intraindividual, and interindividual samples were 38%, 43%, 45%, and 69%, respectively. The fluctuations of most target proteins in individual subjects were found to be within ± twofold. Conclusions and clinical relevance: Our study elucidated the intra- and interindividual variability of 90 disease-related proteins in saliva samples from healthy donors. The findings may facilitate the further development of salivary biomarkers for oral and systemic diseases.
Original language | English |
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Article number | 1700039 |
Journal | Proteomics - Clinical Applications |
Volume | 12 |
Issue number | 2 |
DOIs | |
State | Published - 03 2018 |
Bibliographical note
Publisher Copyright:© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords
- N-labeled recombinant protein
- multiple reaction monitoring-mass spectrometry
- quantitation
- salivary proteins
- variability assessment