Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1782377025361674240 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4472231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT torellfrida multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT bennettkate multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT cereghinisilvia multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT rannarstefan multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT lundstedtenkelkatrin multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT moritzthomas multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT haumaitrececile multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT tryggjohan multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT lundstedttorbjorn multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling |