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Discovering and validating between-subject variations in plasma lipids in healthy subjects

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 poor...

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Autores principales: Begum, Husna, Li, Bowen, Shui, Guanghou, Cazenave-Gassiot, Amaury, Soong, Richie, Ong, Rick Twee-Hee, Little, Peter, Teo, Yik-Ying, Wenk, Markus R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705481/
https://www.ncbi.nlm.nih.gov/pubmed/26743939
http://dx.doi.org/10.1038/srep19139
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author Begum, Husna
Li, Bowen
Shui, Guanghou
Cazenave-Gassiot, Amaury
Soong, Richie
Ong, Rick Twee-Hee
Little, Peter
Teo, Yik-Ying
Wenk, Markus R.
author_facet Begum, Husna
Li, Bowen
Shui, Guanghou
Cazenave-Gassiot, Amaury
Soong, Richie
Ong, Rick Twee-Hee
Little, Peter
Teo, Yik-Ying
Wenk, Markus R.
author_sort Begum, Husna
collection PubMed
description 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.
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spelling pubmed-47054812016-01-19 Discovering and validating between-subject variations in plasma lipids in healthy subjects Begum, Husna Li, Bowen Shui, Guanghou Cazenave-Gassiot, Amaury Soong, Richie Ong, Rick Twee-Hee Little, Peter Teo, Yik-Ying Wenk, Markus R. Sci Rep Article 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. Nature Publishing Group 2016-01-08 /pmc/articles/PMC4705481/ /pubmed/26743939 http://dx.doi.org/10.1038/srep19139 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Begum, Husna
Li, Bowen
Shui, Guanghou
Cazenave-Gassiot, Amaury
Soong, Richie
Ong, Rick Twee-Hee
Little, Peter
Teo, Yik-Ying
Wenk, Markus R.
Discovering and validating between-subject variations in plasma lipids in healthy subjects
title Discovering and validating between-subject variations in plasma lipids in healthy subjects
title_full Discovering and validating between-subject variations in plasma lipids in healthy subjects
title_fullStr Discovering and validating between-subject variations in plasma lipids in healthy subjects
title_full_unstemmed Discovering and validating between-subject variations in plasma lipids in healthy subjects
title_short Discovering and validating between-subject variations in plasma lipids in healthy subjects
title_sort discovering and validating between-subject variations in plasma lipids in healthy subjects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705481/
https://www.ncbi.nlm.nih.gov/pubmed/26743939
http://dx.doi.org/10.1038/srep19139
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