Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep19139
Title: Discovering and validating between-subject variations in plasma lipids in healthy subjects
Authors: Begum, Husna 
Li, Bowen
Shui, Guanghou
Cazenave-Gassiot, Amaury
Soong, Richie
Ong, Rick Twee-Hee
Little, Peter
Teo, Yik-Ying 
Wenk, Markus R 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
METABOLIC PHENOTYPES
SPECTROMETRY
LIPIDOMICS
HUMANS
Issue Date: 2016
Publisher: NATURE PUBLISHING GROUP
Citation: Begum, Husna, Li, Bowen, Shui, Guanghou, Cazenave-Gassiot, Amaury, Soong, Richie, Ong, Rick Twee-Hee, Little, Peter, Teo, Yik-Ying, Wenk, Markus R (2016). Discovering and validating between-subject variations in plasma lipids in healthy subjects. SCIENTIFIC REPORTS 6 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/srep19139
Abstract: © 2015, Nature Publishing Group. All rights reserved. Lipid levels are commonly used in clinical settings as disease biomarkers, and the advent of mass spectrometry-based (MS) lipidomics heralds the possibility of identifying additional lipids that can inform disease predispositions. However, the degree of natural variation for many lipids remains poorly understood, thus confounding downstream investigations on whether a specific intervention is driving observed lipid fluctuations. Here, we performed targeted mass spectrometry with multiple reaction monitoring across a comprehensive spectrum of 192 plasma lipids on eight subjects across three time-points separated by six hours and two standardized meals. A validation study to confirm the initial discoveries was performed in a further set of nine subjects, subject to the identical study design. Technical variation of the MS was assessed using duplicate measurements in the validation study, while biological variation was measured for lipid species with coefficients of variation <20%. We observed that eight lipid species from the phosphatidylethanolamine and phosphatidylcholine lipid classes were discovered and validated to vary consistently across the three time-points, where the within-subject variance can be up to 1.3-fold higher than between-subject variance. These findings highlight the importance of understanding the range of biological variation in plasma lipids as a precursor to their use in clinical biochemistry.
Source Title: SCIENTIFIC REPORTS
URI: https://scholarbank.nus.edu.sg/handle/10635/170642
ISSN: 20452322
20452322
DOI: 10.1038/srep19139
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