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The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies

Serum and plasma are commonly used in metabolomic-epidemiology studies. Their metabolome is susceptible to differences in pre-analytical conditions and the impact of this is unclear. Participant-matched EDTA-plasma and serum samples were collected from 37 non-fasting volunteers and profiled using a...

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Autores principales: Santos Ferreira, Diana L., Maple, Hannah J., Goodwin, Matt, Brand, Judith S., Yip, Vikki, Min, Josine L., Groom, Alix, Lawlor, Debbie A., Ring, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523923/
https://www.ncbi.nlm.nih.gov/pubmed/30987180
http://dx.doi.org/10.3390/metabo9040064
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author Santos Ferreira, Diana L.
Maple, Hannah J.
Goodwin, Matt
Brand, Judith S.
Yip, Vikki
Min, Josine L.
Groom, Alix
Lawlor, Debbie A.
Ring, Susan
author_facet Santos Ferreira, Diana L.
Maple, Hannah J.
Goodwin, Matt
Brand, Judith S.
Yip, Vikki
Min, Josine L.
Groom, Alix
Lawlor, Debbie A.
Ring, Susan
author_sort Santos Ferreira, Diana L.
collection PubMed
description Serum and plasma are commonly used in metabolomic-epidemiology studies. Their metabolome is susceptible to differences in pre-analytical conditions and the impact of this is unclear. Participant-matched EDTA-plasma and serum samples were collected from 37 non-fasting volunteers and profiled using a targeted nuclear magnetic resonance (NMR) metabolomics platform (n = 151 traits). Correlations and differences in mean of metabolite concentrations were compared between reference (pre-storage: 4 °C, 1.5 h; post-storage: no buffer addition delay or NMR analysis delay) and four pre-storage blood processing conditions, where samples were incubated at (i) 4 °C, 24 h; (ii) 4 °C, 48 h; (iii) 21 °C, 24 h; and (iv) 21 °C, 48 h, before centrifugation; and two post-storage sample processing conditions in which samples thawed overnight (i) then left for 24 h before addition of sodium buffer followed by immediate NMR analysis; and (ii) addition of sodium buffer, then left for 24 h before NMR profiling. We used multilevel linear regression models and Spearman’s rank correlation coefficients to analyse the data. Most metabolic traits had high rank correlation and minimal differences in mean concentrations between samples subjected to reference and the different conditions tested, that may commonly occur in studies. However, glycolysis metabolites, histidine, acetate and diacylglycerol concentrations may be compromised and this could bias results in association/causal analyses.
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spelling pubmed-65239232019-06-03 The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies Santos Ferreira, Diana L. Maple, Hannah J. Goodwin, Matt Brand, Judith S. Yip, Vikki Min, Josine L. Groom, Alix Lawlor, Debbie A. Ring, Susan Metabolites Article Serum and plasma are commonly used in metabolomic-epidemiology studies. Their metabolome is susceptible to differences in pre-analytical conditions and the impact of this is unclear. Participant-matched EDTA-plasma and serum samples were collected from 37 non-fasting volunteers and profiled using a targeted nuclear magnetic resonance (NMR) metabolomics platform (n = 151 traits). Correlations and differences in mean of metabolite concentrations were compared between reference (pre-storage: 4 °C, 1.5 h; post-storage: no buffer addition delay or NMR analysis delay) and four pre-storage blood processing conditions, where samples were incubated at (i) 4 °C, 24 h; (ii) 4 °C, 48 h; (iii) 21 °C, 24 h; and (iv) 21 °C, 48 h, before centrifugation; and two post-storage sample processing conditions in which samples thawed overnight (i) then left for 24 h before addition of sodium buffer followed by immediate NMR analysis; and (ii) addition of sodium buffer, then left for 24 h before NMR profiling. We used multilevel linear regression models and Spearman’s rank correlation coefficients to analyse the data. Most metabolic traits had high rank correlation and minimal differences in mean concentrations between samples subjected to reference and the different conditions tested, that may commonly occur in studies. However, glycolysis metabolites, histidine, acetate and diacylglycerol concentrations may be compromised and this could bias results in association/causal analyses. MDPI 2019-04-03 /pmc/articles/PMC6523923/ /pubmed/30987180 http://dx.doi.org/10.3390/metabo9040064 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Santos Ferreira, Diana L.
Maple, Hannah J.
Goodwin, Matt
Brand, Judith S.
Yip, Vikki
Min, Josine L.
Groom, Alix
Lawlor, Debbie A.
Ring, Susan
The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title_full The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title_fullStr The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title_full_unstemmed The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title_short The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies
title_sort effect of pre-analytical conditions on blood metabolomics in epidemiological studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523923/
https://www.ncbi.nlm.nih.gov/pubmed/30987180
http://dx.doi.org/10.3390/metabo9040064
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