Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse

Abstract Regulation between the fed and fasted states in mammals is partially controlled by peroxisome proliferator‐activated receptor‐α (PPAR‐α). Expression of the receptor is high in the liver, heart and skeletal muscle, but decreases with age. A combined 1H nuclear magnetic resonance (NMR) spectr...

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Main Authors: Helen J Atherton, Melanie K Gulston, Nigel J Bailey, Kian‐Kai Cheng, Wen Zhang, Kieran Clarke, Julian L Griffin
Format: Article
Language:English
Published: Springer Nature 2009-04-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.1038/msb.2009.18
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author Helen J Atherton
Melanie K Gulston
Nigel J Bailey
Kian‐Kai Cheng
Wen Zhang
Kieran Clarke
Julian L Griffin
author_facet Helen J Atherton
Melanie K Gulston
Nigel J Bailey
Kian‐Kai Cheng
Wen Zhang
Kieran Clarke
Julian L Griffin
author_sort Helen J Atherton
collection DOAJ
description Abstract Regulation between the fed and fasted states in mammals is partially controlled by peroxisome proliferator‐activated receptor‐α (PPAR‐α). Expression of the receptor is high in the liver, heart and skeletal muscle, but decreases with age. A combined 1H nuclear magnetic resonance (NMR) spectroscopy and gas chromatography‐mass spectrometry metabolomic approach has been used to examine metabolism in the liver, heart, skeletal muscle and adipose tissue in PPAR‐α‐null mice and wild‐type controls during ageing between 3 and 13 months. For the PPAR‐α‐null mouse, multivariate statistics highlighted hepatic steatosis, reductions in the concentrations of glucose and glycogen in both the liver and muscle tissue, and profound changes in lipid metabolism in each tissue, reflecting known expression targets of the PPAR‐α receptor. Hepatic glycogen and glucose also decreased with age for both genotypes. These findings indicate the development of age‐related hepatic steatosis in the PPAR‐α‐null mouse, with the normal metabolic changes associated with ageing exacerbating changes associated with genotype. Furthermore, the combined metabolomic and multivariate statistics approach provides a robust method for examining the interaction between age and genotype.
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publishDate 2009-04-01
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spelling doaj-art-7fd1df8b9ef84f619f302a0d683873152025-08-24T11:59:37ZengSpringer NatureMolecular Systems Biology1744-42922009-04-015111010.1038/msb.2009.18Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouseHelen J Atherton0Melanie K Gulston1Nigel J Bailey2Kian‐Kai Cheng3Wen Zhang4Kieran Clarke5Julian L Griffin6Department of Biochemistry & Cambridge Systems Biology Centre, University of CambridgeDepartment of Biochemistry & Cambridge Systems Biology Centre, University of CambridgeSelcia Ltd, Fyfield Business and Research ParkDepartment of Biochemistry & Cambridge Systems Biology Centre, University of CambridgeUniversity Laboratory of Physiology, University of OxfordUniversity Laboratory of Physiology, University of OxfordDepartment of Biochemistry & Cambridge Systems Biology Centre, University of CambridgeAbstract Regulation between the fed and fasted states in mammals is partially controlled by peroxisome proliferator‐activated receptor‐α (PPAR‐α). Expression of the receptor is high in the liver, heart and skeletal muscle, but decreases with age. A combined 1H nuclear magnetic resonance (NMR) spectroscopy and gas chromatography‐mass spectrometry metabolomic approach has been used to examine metabolism in the liver, heart, skeletal muscle and adipose tissue in PPAR‐α‐null mice and wild‐type controls during ageing between 3 and 13 months. For the PPAR‐α‐null mouse, multivariate statistics highlighted hepatic steatosis, reductions in the concentrations of glucose and glycogen in both the liver and muscle tissue, and profound changes in lipid metabolism in each tissue, reflecting known expression targets of the PPAR‐α receptor. Hepatic glycogen and glucose also decreased with age for both genotypes. These findings indicate the development of age‐related hepatic steatosis in the PPAR‐α‐null mouse, with the normal metabolic changes associated with ageing exacerbating changes associated with genotype. Furthermore, the combined metabolomic and multivariate statistics approach provides a robust method for examining the interaction between age and genotype.https://doi.org/10.1038/msb.2009.18functional genomicshepatic steatosismetabonomicsobesity
spellingShingle Helen J Atherton
Melanie K Gulston
Nigel J Bailey
Kian‐Kai Cheng
Wen Zhang
Kieran Clarke
Julian L Griffin
Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
Molecular Systems Biology
functional genomics
hepatic steatosis
metabonomics
obesity
title Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
title_full Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
title_fullStr Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
title_full_unstemmed Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
title_short Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
title_sort metabolomics of the interaction between ppar α and age in the ppar α null mouse
topic functional genomics
hepatic steatosis
metabonomics
obesity
url https://doi.org/10.1038/msb.2009.18
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