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Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling

Hierarchical modelling was applied in order to identify the organs that contribute to the levels of metabolites in plasma. Plasma and organ samples from gut, kidney, liver, muscle and pancreas were obtained from mice. The samples were analysed using gas chromatography time-of-flight mass spectrometr...

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Autores principales: Torell, Frida, Bennett, Kate, Cereghini, Silvia, Rännar, Stefan, Lundstedt-Enkel, Katrin, Moritz, Thomas, Haumaitre, Cecile, Trygg, Johan, Lundstedt, Torbjörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4472231/
https://www.ncbi.nlm.nih.gov/pubmed/26086868
http://dx.doi.org/10.1371/journal.pone.0129260
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author Torell, Frida
Bennett, Kate
Cereghini, Silvia
Rännar, Stefan
Lundstedt-Enkel, Katrin
Moritz, Thomas
Haumaitre, Cecile
Trygg, Johan
Lundstedt, Torbjörn
author_facet Torell, Frida
Bennett, Kate
Cereghini, Silvia
Rännar, Stefan
Lundstedt-Enkel, Katrin
Moritz, Thomas
Haumaitre, Cecile
Trygg, Johan
Lundstedt, Torbjörn
author_sort Torell, Frida
collection PubMed
description Hierarchical modelling was applied in order to identify the organs that contribute to the levels of metabolites in plasma. Plasma and organ samples from gut, kidney, liver, muscle and pancreas were obtained from mice. The samples were analysed using gas chromatography time-of-flight mass spectrometry (GC TOF-MS) at the Swedish Metabolomics centre, Umeå University, Sweden. The multivariate analysis was performed by means of principal component analysis (PCA) and orthogonal projections to latent structures (OPLS). The main goal of this study was to investigate how each organ contributes to the metabolic plasma profile. This was performed using hierarchical modelling. Each organ was found to have a unique metabolic profile. The hierarchical modelling showed that the gut, kidney and liver demonstrated the greatest contribution to the metabolic pattern of plasma. For example, we found that metabolites were absorbed in the gut and transported to the plasma. The kidneys excrete branched chain amino acids (BCAAs) and fatty acids are transported in the plasma to the muscles and liver. Lactic acid was also found to be transported from the pancreas to plasma. The results indicated that hierarchical modelling can be utilized to identify the organ contribution of unknown metabolites to the metabolic profile of plasma.
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spelling pubmed-44722312015-06-29 Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling Torell, Frida Bennett, Kate Cereghini, Silvia Rännar, Stefan Lundstedt-Enkel, Katrin Moritz, Thomas Haumaitre, Cecile Trygg, Johan Lundstedt, Torbjörn PLoS One Research Article Hierarchical modelling was applied in order to identify the organs that contribute to the levels of metabolites in plasma. Plasma and organ samples from gut, kidney, liver, muscle and pancreas were obtained from mice. The samples were analysed using gas chromatography time-of-flight mass spectrometry (GC TOF-MS) at the Swedish Metabolomics centre, Umeå University, Sweden. The multivariate analysis was performed by means of principal component analysis (PCA) and orthogonal projections to latent structures (OPLS). The main goal of this study was to investigate how each organ contributes to the metabolic plasma profile. This was performed using hierarchical modelling. Each organ was found to have a unique metabolic profile. The hierarchical modelling showed that the gut, kidney and liver demonstrated the greatest contribution to the metabolic pattern of plasma. For example, we found that metabolites were absorbed in the gut and transported to the plasma. The kidneys excrete branched chain amino acids (BCAAs) and fatty acids are transported in the plasma to the muscles and liver. Lactic acid was also found to be transported from the pancreas to plasma. The results indicated that hierarchical modelling can be utilized to identify the organ contribution of unknown metabolites to the metabolic profile of plasma. Public Library of Science 2015-06-18 /pmc/articles/PMC4472231/ /pubmed/26086868 http://dx.doi.org/10.1371/journal.pone.0129260 Text en © 2015 Torell 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
Torell, Frida
Bennett, Kate
Cereghini, Silvia
Rännar, Stefan
Lundstedt-Enkel, Katrin
Moritz, Thomas
Haumaitre, Cecile
Trygg, Johan
Lundstedt, Torbjörn
Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title_full Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title_fullStr Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title_full_unstemmed Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title_short Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
title_sort multi-organ contribution to the metabolic plasma profile using hierarchical modelling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4472231/
https://www.ncbi.nlm.nih.gov/pubmed/26086868
http://dx.doi.org/10.1371/journal.pone.0129260
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