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...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4472231?pdf=render |
_version_ | 1811305661297852416 |
---|---|
author | Frida Torell Kate Bennett Silvia Cereghini Stefan Rännar Katrin Lundstedt-Enkel Thomas Moritz Cecile Haumaitre Johan Trygg Torbjörn Lundstedt |
author_facet | Frida Torell Kate Bennett Silvia Cereghini Stefan Rännar Katrin Lundstedt-Enkel Thomas Moritz Cecile Haumaitre Johan Trygg Torbjörn Lundstedt |
author_sort | Frida Torell |
collection | DOAJ |
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. |
first_indexed | 2024-04-13T08:30:31Z |
format | Article |
id | doaj.art-c82fed5c246343d7be0c2f60c7f58a5c |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-13T08:30:31Z |
publishDate | 2015-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-c82fed5c246343d7be0c2f60c7f58a5c2022-12-22T02:54:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01106e012926010.1371/journal.pone.0129260Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling.Frida TorellKate BennettSilvia CereghiniStefan RännarKatrin Lundstedt-EnkelThomas MoritzCecile HaumaitreJohan TryggTorbjörn LundstedtHierarchical 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.http://europepmc.org/articles/PMC4472231?pdf=render |
spellingShingle | Frida Torell Kate Bennett Silvia Cereghini Stefan Rännar Katrin Lundstedt-Enkel Thomas Moritz Cecile Haumaitre Johan Trygg Torbjörn Lundstedt Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling. PLoS ONE |
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 |
url | http://europepmc.org/articles/PMC4472231?pdf=render |
work_keys_str_mv | AT fridatorell multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT katebennett multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT silviacereghini multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT stefanrannar multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT katrinlundstedtenkel multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT thomasmoritz multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT cecilehaumaitre multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT johantrygg multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling AT torbjornlundstedt multiorgancontributiontothemetabolicplasmaprofileusinghierarchicalmodelling |