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

被引:16
作者
Torell, Frida [1 ,2 ]
Bennett, Kate [3 ]
Cereghini, Silvia [4 ,5 ,6 ]
Raennar, Stefan [3 ]
Lundstedt-Enkel, Katrin [3 ]
Moritz, Thomas [3 ]
Haumaitre, Cecile [4 ,5 ,6 ]
Trygg, Johan [1 ]
Lundstedt, Torbjoern [3 ]
机构
[1] Umea Univ, Dept Chem, Computat Life Sci Cluster CLiC, Umea, Sweden
[2] Karlsruhe Inst Technol, D-76021 Karlsruhe, Germany
[3] AcureOmics AB, Umea, Sweden
[4] CNRS, UMR7622, F-75005 Paris, France
[5] Univ Paris 06, Sorbonne Univ, UMR7622, F-75005 Paris, France
[6] INSERM, U1156, Paris, France
来源
PLOS ONE | 2015年 / 10卷 / 06期
基金
瑞典研究理事会;
关键词
AMINO-ACID-TRANSPORT; SMALL-INTESTINE; FATTY-ACIDS; RAT-KIDNEY; IN-VIVO; MUSCLE; MOUSE; STIMULATION; LIVER; GUT;
D O I
10.1371/journal.pone.0129260
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:18
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