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A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery
Cardiovascular disease is the leading cause of death worldwide and cardiac surgery is a key treatment. This study explores metabolite changes as a consequence of ischemia-reperfusion due to cardiac surgery with the use of cardiopulmonary bypass (CPB). To describe the ischemia-reperfusion injury, met...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314852/ https://www.ncbi.nlm.nih.gov/pubmed/32581368 http://dx.doi.org/10.1038/s41597-020-0545-0 |
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author | Maltesen, Raluca Georgiana Wimmer, Reinhard Rasmussen, Bodil Steen |
author_facet | Maltesen, Raluca Georgiana Wimmer, Reinhard Rasmussen, Bodil Steen |
author_sort | Maltesen, Raluca Georgiana |
collection | PubMed |
description | Cardiovascular disease is the leading cause of death worldwide and cardiac surgery is a key treatment. This study explores metabolite changes as a consequence of ischemia-reperfusion due to cardiac surgery with the use of cardiopulmonary bypass (CPB). To describe the ischemia-reperfusion injury, metabolite changes were monitored in fifty patients before and after CPB at multiple time points. We describe a longitudinal metabolite dataset containing nearly 600 serum nuclear magnetic resonance (NMR) spectra obtained from samples collected simultaneously from the pulmonary artery (deoxygenated blood) and left atrium (oxygenated blood) before ischemia (pre-CPB), immediately after reperfusion (end-CPB), and the following 2, 4, 8, and 20 hours postoperatively. In addition, a longitudinal dataset including 57 quantified metabolites is also provided. These datasets will help researchers studying ischemia-reperfusion injury, as well as the time-dependent alterations related to the surgical trauma and the subsequent processes required in regaining metabolite balance. The datasets could also be used for the development of processing algorithms for NMR-based metabolomics studies and methods for the analysis of longitudinal multivariate data. |
format | Online Article Text |
id | pubmed-7314852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73148522020-06-26 A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery Maltesen, Raluca Georgiana Wimmer, Reinhard Rasmussen, Bodil Steen Sci Data Data Descriptor Cardiovascular disease is the leading cause of death worldwide and cardiac surgery is a key treatment. This study explores metabolite changes as a consequence of ischemia-reperfusion due to cardiac surgery with the use of cardiopulmonary bypass (CPB). To describe the ischemia-reperfusion injury, metabolite changes were monitored in fifty patients before and after CPB at multiple time points. We describe a longitudinal metabolite dataset containing nearly 600 serum nuclear magnetic resonance (NMR) spectra obtained from samples collected simultaneously from the pulmonary artery (deoxygenated blood) and left atrium (oxygenated blood) before ischemia (pre-CPB), immediately after reperfusion (end-CPB), and the following 2, 4, 8, and 20 hours postoperatively. In addition, a longitudinal dataset including 57 quantified metabolites is also provided. These datasets will help researchers studying ischemia-reperfusion injury, as well as the time-dependent alterations related to the surgical trauma and the subsequent processes required in regaining metabolite balance. The datasets could also be used for the development of processing algorithms for NMR-based metabolomics studies and methods for the analysis of longitudinal multivariate data. Nature Publishing Group UK 2020-06-24 /pmc/articles/PMC7314852/ /pubmed/32581368 http://dx.doi.org/10.1038/s41597-020-0545-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Maltesen, Raluca Georgiana Wimmer, Reinhard Rasmussen, Bodil Steen A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title | A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title_full | A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title_fullStr | A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title_full_unstemmed | A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title_short | A longitudinal serum NMR-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
title_sort | longitudinal serum nmr-based metabolomics dataset of ischemia-reperfusion injury in adult cardiac surgery |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314852/ https://www.ncbi.nlm.nih.gov/pubmed/32581368 http://dx.doi.org/10.1038/s41597-020-0545-0 |
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