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Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives

INTRODUCTION: Analysis of blood for the evaluation of clinically relevant biomarkers requires precise collection and sample handling by phlebotomists and laboratory staff. An important consideration for the clinical application of metabolomics are the different anticoagulants utilized for sample col...

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Autores principales: Kennedy, Adam D., Ford, Lisa, Wittmann, Bryan, Conner, Jesse, Wulff, Jacob, Mitchell, Matthew, Evans, Anne M., Toal, Douglas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031419/
https://www.ncbi.nlm.nih.gov/pubmed/33831088
http://dx.doi.org/10.1371/journal.pone.0249797
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author Kennedy, Adam D.
Ford, Lisa
Wittmann, Bryan
Conner, Jesse
Wulff, Jacob
Mitchell, Matthew
Evans, Anne M.
Toal, Douglas R.
author_facet Kennedy, Adam D.
Ford, Lisa
Wittmann, Bryan
Conner, Jesse
Wulff, Jacob
Mitchell, Matthew
Evans, Anne M.
Toal, Douglas R.
author_sort Kennedy, Adam D.
collection PubMed
description INTRODUCTION: Analysis of blood for the evaluation of clinically relevant biomarkers requires precise collection and sample handling by phlebotomists and laboratory staff. An important consideration for the clinical application of metabolomics are the different anticoagulants utilized for sample collection. Most studies that have characterized differences in metabolite levels in various blood collection tubes have focused on single analytes. We define analyte levels on a global metabolomics platform following blood sampling using five different, but commonly used, clinical laboratory blood collection tubes (i.e., plasma anticoagulated with either EDTA, lithium heparin or sodium citrate, along with no additive (serum), and EDTA anticoagulated whole blood). METHODS: Using an untargeted metabolomics platform we analyzed five sample types after all had been collected and stored at -80°C. The biochemical composition was determined and differences between the samples established using matched-pair t-tests. RESULTS: We identified 1,117 biochemicals across all samples and detected a mean of 1,036 in the sample groups. Compared to the levels of metabolites in EDTA plasma, the number of biochemicals present at statistically significant different levels (p<0.05) ranged from 452 (serum) to 917 (whole blood). Several metabolites linked to screening assays for rare diseases including acylcarnitines, bilirubin and heme metabolites, nucleosides, and redox balance metabolites varied significantly across the sample collection types. CONCLUSIONS: Our study highlights the widespread effects and importance of using consistent additives for assessing small molecule levels in clinical metabolomics. The biochemistry that occurs during the blood collection process creates a reproducible signal that can identify specimens collected with different anticoagulants in metabolomic studies. IMPACT STATEMENT: In this manuscript, normal/healthy donors had peripheral blood collected using multiple anticoagulants as well as serum during a fasted blood draw. Global metabolomics is a new technology being utilized to draw clinical conclusions and we interrogated the effects of different anticoagulants on the levels of biochemicals from each of the donors. Characterizing the effects of the anticoagulants on biochemical levels will help researchers leverage the information using global metabolomics in order to make conclusions regarding important disease biomarkers.
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spelling pubmed-80314192021-04-14 Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives Kennedy, Adam D. Ford, Lisa Wittmann, Bryan Conner, Jesse Wulff, Jacob Mitchell, Matthew Evans, Anne M. Toal, Douglas R. PLoS One Research Article INTRODUCTION: Analysis of blood for the evaluation of clinically relevant biomarkers requires precise collection and sample handling by phlebotomists and laboratory staff. An important consideration for the clinical application of metabolomics are the different anticoagulants utilized for sample collection. Most studies that have characterized differences in metabolite levels in various blood collection tubes have focused on single analytes. We define analyte levels on a global metabolomics platform following blood sampling using five different, but commonly used, clinical laboratory blood collection tubes (i.e., plasma anticoagulated with either EDTA, lithium heparin or sodium citrate, along with no additive (serum), and EDTA anticoagulated whole blood). METHODS: Using an untargeted metabolomics platform we analyzed five sample types after all had been collected and stored at -80°C. The biochemical composition was determined and differences between the samples established using matched-pair t-tests. RESULTS: We identified 1,117 biochemicals across all samples and detected a mean of 1,036 in the sample groups. Compared to the levels of metabolites in EDTA plasma, the number of biochemicals present at statistically significant different levels (p<0.05) ranged from 452 (serum) to 917 (whole blood). Several metabolites linked to screening assays for rare diseases including acylcarnitines, bilirubin and heme metabolites, nucleosides, and redox balance metabolites varied significantly across the sample collection types. CONCLUSIONS: Our study highlights the widespread effects and importance of using consistent additives for assessing small molecule levels in clinical metabolomics. The biochemistry that occurs during the blood collection process creates a reproducible signal that can identify specimens collected with different anticoagulants in metabolomic studies. IMPACT STATEMENT: In this manuscript, normal/healthy donors had peripheral blood collected using multiple anticoagulants as well as serum during a fasted blood draw. Global metabolomics is a new technology being utilized to draw clinical conclusions and we interrogated the effects of different anticoagulants on the levels of biochemicals from each of the donors. Characterizing the effects of the anticoagulants on biochemical levels will help researchers leverage the information using global metabolomics in order to make conclusions regarding important disease biomarkers. Public Library of Science 2021-04-08 /pmc/articles/PMC8031419/ /pubmed/33831088 http://dx.doi.org/10.1371/journal.pone.0249797 Text en © 2021 Kennedy et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kennedy, Adam D.
Ford, Lisa
Wittmann, Bryan
Conner, Jesse
Wulff, Jacob
Mitchell, Matthew
Evans, Anne M.
Toal, Douglas R.
Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title_full Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title_fullStr Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title_full_unstemmed Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title_short Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
title_sort global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031419/
https://www.ncbi.nlm.nih.gov/pubmed/33831088
http://dx.doi.org/10.1371/journal.pone.0249797
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