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Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling
Umeå University, Faculty of Science and Technology, Department of Chemistry.
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2015 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 10, no 6, e0129260Article in journal (Refereed) Published
Abstract [en]

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, Umea 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.

Place, publisher, year, edition, pages
2015. Vol. 10, no 6, e0129260
National Category
Organic Chemistry
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URN: urn:nbn:se:umu:diva-106564DOI: 10.1371/journal.pone.0129260ISI: 000356567500041PubMedID: 26086868OAI: oai:DiVA.org:umu-106564DiVA: diva2:842495
Funder
Swedish Research Council, 2011-6044
Available from: 2015-07-20 Created: 2015-07-20 Last updated: 2017-12-04Bibliographically approved

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Torell, FridaTrygg, Johan

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