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The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry

Liquid-chromatography mass spectrometry is commonly used to identify and quantify metabolites from biological samples to gain insight into human physiology and pathology. Metabolites and their abundance in biological samples are labile and sensitive to variations in collection conditions, handling a...

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Autores principales: Khadka, Manoj, Todor, Andrei, Maner-Smith, Kristal M., Colucci, Jennifer K., Tran, ViLinh, Gaul, David A., Anderson, Evan J., Natrajan, Muktha S., Rouphael, Nadine, Mulligan, Mark J., McDonald, Circe E., Suthar, Mehul, Li, Shuzhao, Ortlund, Eric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571950/
https://www.ncbi.nlm.nih.gov/pubmed/31126114
http://dx.doi.org/10.3390/biom9050200
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author Khadka, Manoj
Todor, Andrei
Maner-Smith, Kristal M.
Colucci, Jennifer K.
Tran, ViLinh
Gaul, David A.
Anderson, Evan J.
Natrajan, Muktha S.
Rouphael, Nadine
Mulligan, Mark J.
McDonald, Circe E.
Suthar, Mehul
Li, Shuzhao
Ortlund, Eric A.
author_facet Khadka, Manoj
Todor, Andrei
Maner-Smith, Kristal M.
Colucci, Jennifer K.
Tran, ViLinh
Gaul, David A.
Anderson, Evan J.
Natrajan, Muktha S.
Rouphael, Nadine
Mulligan, Mark J.
McDonald, Circe E.
Suthar, Mehul
Li, Shuzhao
Ortlund, Eric A.
author_sort Khadka, Manoj
collection PubMed
description Liquid-chromatography mass spectrometry is commonly used to identify and quantify metabolites from biological samples to gain insight into human physiology and pathology. Metabolites and their abundance in biological samples are labile and sensitive to variations in collection conditions, handling and processing. Variations in sample handling could influence metabolite levels in ways not related to biology, ultimately leading to the misinterpretation of results. For example, anticoagulants and preservatives modulate enzyme activity and metabolite oxidization. Temperature may alter both enzymatic and non-enzymatic chemistry. The potential for variation induced by collection conditions is particularly important when samples are collected in remote locations without immediate access to specimen processing. Data are needed regarding the variation introduced by clinical sample collection processes to avoid introducing artifact biases. In this study, we used metabolomics and lipidomics approaches paired with univariate and multivariate statistical analyses to assess the effects of anticoagulant, temperature, and time on healthy human plasma samples collected to provide guidelines on sample collection, handling, and processing for vaccinology. Principal component analyses demonstrated clustering by sample collection procedure and that anticoagulant type had the greatest effect on sample metabolite variation. Lipids such as glycerophospholipids, acylcarnitines, sphingolipids, diacylglycerols, triacylglycerols, and cholesteryl esters are significantly affected by anticoagulant type as are amino acids such as aspartate, histidine, and glutamine. Most plasma metabolites and lipids were unaffected by storage time and temperature. Based on this study, we recommend samples be collected using a single anticoagulant (preferably EDTA) with sample processing at <24 h at 4 °C.
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spelling pubmed-65719502019-06-18 The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry Khadka, Manoj Todor, Andrei Maner-Smith, Kristal M. Colucci, Jennifer K. Tran, ViLinh Gaul, David A. Anderson, Evan J. Natrajan, Muktha S. Rouphael, Nadine Mulligan, Mark J. McDonald, Circe E. Suthar, Mehul Li, Shuzhao Ortlund, Eric A. Biomolecules Article Liquid-chromatography mass spectrometry is commonly used to identify and quantify metabolites from biological samples to gain insight into human physiology and pathology. Metabolites and their abundance in biological samples are labile and sensitive to variations in collection conditions, handling and processing. Variations in sample handling could influence metabolite levels in ways not related to biology, ultimately leading to the misinterpretation of results. For example, anticoagulants and preservatives modulate enzyme activity and metabolite oxidization. Temperature may alter both enzymatic and non-enzymatic chemistry. The potential for variation induced by collection conditions is particularly important when samples are collected in remote locations without immediate access to specimen processing. Data are needed regarding the variation introduced by clinical sample collection processes to avoid introducing artifact biases. In this study, we used metabolomics and lipidomics approaches paired with univariate and multivariate statistical analyses to assess the effects of anticoagulant, temperature, and time on healthy human plasma samples collected to provide guidelines on sample collection, handling, and processing for vaccinology. Principal component analyses demonstrated clustering by sample collection procedure and that anticoagulant type had the greatest effect on sample metabolite variation. Lipids such as glycerophospholipids, acylcarnitines, sphingolipids, diacylglycerols, triacylglycerols, and cholesteryl esters are significantly affected by anticoagulant type as are amino acids such as aspartate, histidine, and glutamine. Most plasma metabolites and lipids were unaffected by storage time and temperature. Based on this study, we recommend samples be collected using a single anticoagulant (preferably EDTA) with sample processing at <24 h at 4 °C. MDPI 2019-05-23 /pmc/articles/PMC6571950/ /pubmed/31126114 http://dx.doi.org/10.3390/biom9050200 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
Khadka, Manoj
Todor, Andrei
Maner-Smith, Kristal M.
Colucci, Jennifer K.
Tran, ViLinh
Gaul, David A.
Anderson, Evan J.
Natrajan, Muktha S.
Rouphael, Nadine
Mulligan, Mark J.
McDonald, Circe E.
Suthar, Mehul
Li, Shuzhao
Ortlund, Eric A.
The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title_full The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title_fullStr The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title_full_unstemmed The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title_short The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
title_sort effect of anticoagulants, temperature, and time on the human plasma metabolome and lipidome from healthy donors as determined by liquid chromatography-mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571950/
https://www.ncbi.nlm.nih.gov/pubmed/31126114
http://dx.doi.org/10.3390/biom9050200
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