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Differences between Human Plasma and Serum Metabolite Profiles
BACKGROUND: Human plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132215/ https://www.ncbi.nlm.nih.gov/pubmed/21760889 http://dx.doi.org/10.1371/journal.pone.0021230 |
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author | Yu, Zhonghao Kastenmüller, Gabi He, Ying Belcredi, Petra Möller, Gabriele Prehn, Cornelia Mendes, Joaquim Wahl, Simone Roemisch-Margl, Werner Ceglarek, Uta Polonikov, Alexey Dahmen, Norbert Prokisch, Holger Xie, Lu Li, Yixue Wichmann, H. -Erich Peters, Annette Kronenberg, Florian Suhre, Karsten Adamski, Jerzy Illig, Thomas Wang-Sattler, Rui |
author_facet | Yu, Zhonghao Kastenmüller, Gabi He, Ying Belcredi, Petra Möller, Gabriele Prehn, Cornelia Mendes, Joaquim Wahl, Simone Roemisch-Margl, Werner Ceglarek, Uta Polonikov, Alexey Dahmen, Norbert Prokisch, Holger Xie, Lu Li, Yixue Wichmann, H. -Erich Peters, Annette Kronenberg, Florian Suhre, Karsten Adamski, Jerzy Illig, Thomas Wang-Sattler, Rui |
author_sort | Yu, Zhonghao |
collection | PubMed |
description | BACKGROUND: Human plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not been fully characterized. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed the concentrations of 163 metabolites in plasma and serum samples collected simultaneously from 377 fasting individuals. To ensure data quality, 41 metabolites with low measurement stability were excluded from further analysis. In addition, plasma and corresponding serum samples from 83 individuals were re-measured in the same plates and mean correlation coefficients (r) of all metabolites between the duplicates were 0.83 and 0.80 in plasma and serum, respectively, indicating significantly better stability of plasma compared to serum (p = 0.01). Metabolite profiles from plasma and serum were clearly distinct with 104 metabolites showing significantly higher concentrations in serum. In particular, 9 metabolites showed relative concentration differences larger than 20%. Despite differences in absolute concentration between the two matrices, for most metabolites the overall correlation was high (mean r = 0.81±0.10), which reflects a proportional change in concentration. Furthermore, when two groups of individuals with different phenotypes were compared with each other using both matrices, more metabolites with significantly different concentrations could be identified in serum than in plasma. For example, when 51 type 2 diabetes (T2D) patients were compared with 326 non-T2D individuals, 15 more significantly different metabolites were found in serum, in addition to the 25 common to both matrices. CONCLUSIONS/SIGNIFICANCE: Our study shows that reproducibility was good in both plasma and serum, and better in plasma. Furthermore, as long as the same blood preparation procedure is used, either matrix should generate similar results in clinical and biological studies. The higher metabolite concentrations in serum, however, make it possible to provide more sensitive results in biomarker detection. |
format | Online Article Text |
id | pubmed-3132215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31322152011-07-14 Differences between Human Plasma and Serum Metabolite Profiles Yu, Zhonghao Kastenmüller, Gabi He, Ying Belcredi, Petra Möller, Gabriele Prehn, Cornelia Mendes, Joaquim Wahl, Simone Roemisch-Margl, Werner Ceglarek, Uta Polonikov, Alexey Dahmen, Norbert Prokisch, Holger Xie, Lu Li, Yixue Wichmann, H. -Erich Peters, Annette Kronenberg, Florian Suhre, Karsten Adamski, Jerzy Illig, Thomas Wang-Sattler, Rui PLoS One Research Article BACKGROUND: Human plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not been fully characterized. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed the concentrations of 163 metabolites in plasma and serum samples collected simultaneously from 377 fasting individuals. To ensure data quality, 41 metabolites with low measurement stability were excluded from further analysis. In addition, plasma and corresponding serum samples from 83 individuals were re-measured in the same plates and mean correlation coefficients (r) of all metabolites between the duplicates were 0.83 and 0.80 in plasma and serum, respectively, indicating significantly better stability of plasma compared to serum (p = 0.01). Metabolite profiles from plasma and serum were clearly distinct with 104 metabolites showing significantly higher concentrations in serum. In particular, 9 metabolites showed relative concentration differences larger than 20%. Despite differences in absolute concentration between the two matrices, for most metabolites the overall correlation was high (mean r = 0.81±0.10), which reflects a proportional change in concentration. Furthermore, when two groups of individuals with different phenotypes were compared with each other using both matrices, more metabolites with significantly different concentrations could be identified in serum than in plasma. For example, when 51 type 2 diabetes (T2D) patients were compared with 326 non-T2D individuals, 15 more significantly different metabolites were found in serum, in addition to the 25 common to both matrices. CONCLUSIONS/SIGNIFICANCE: Our study shows that reproducibility was good in both plasma and serum, and better in plasma. Furthermore, as long as the same blood preparation procedure is used, either matrix should generate similar results in clinical and biological studies. The higher metabolite concentrations in serum, however, make it possible to provide more sensitive results in biomarker detection. Public Library of Science 2011-07-08 /pmc/articles/PMC3132215/ /pubmed/21760889 http://dx.doi.org/10.1371/journal.pone.0021230 Text en Yu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yu, Zhonghao Kastenmüller, Gabi He, Ying Belcredi, Petra Möller, Gabriele Prehn, Cornelia Mendes, Joaquim Wahl, Simone Roemisch-Margl, Werner Ceglarek, Uta Polonikov, Alexey Dahmen, Norbert Prokisch, Holger Xie, Lu Li, Yixue Wichmann, H. -Erich Peters, Annette Kronenberg, Florian Suhre, Karsten Adamski, Jerzy Illig, Thomas Wang-Sattler, Rui Differences between Human Plasma and Serum Metabolite Profiles |
title | Differences between Human Plasma and Serum Metabolite Profiles |
title_full | Differences between Human Plasma and Serum Metabolite Profiles |
title_fullStr | Differences between Human Plasma and Serum Metabolite Profiles |
title_full_unstemmed | Differences between Human Plasma and Serum Metabolite Profiles |
title_short | Differences between Human Plasma and Serum Metabolite Profiles |
title_sort | differences between human plasma and serum metabolite profiles |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132215/ https://www.ncbi.nlm.nih.gov/pubmed/21760889 http://dx.doi.org/10.1371/journal.pone.0021230 |
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