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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6523923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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