Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains

Calorie restriction (CR) has long been used to study lifespan effects and oppose the development of a broad array of age-related biological and pathological changes (increase healthspan). Yet, a comprehensive comparison of the metabolic phenotype across different genetic backgrounds to identify comm...

Full description

Bibliographic Details
Main Authors: Sunil Kochhar, Tomas A. Prolla, Richard Weindruch, Laeticia Da Silva, Ivan Montoliu, Jamie L. Barger, François-Pierre J. Martin, Sebastiano Collino
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:Metabolites
Subjects:
Online Access:http://www.mdpi.com/2218-1989/3/4/881
id doaj-d85efb2cd74649b28e130619f2c1da4c
record_format Article
spelling doaj-d85efb2cd74649b28e130619f2c1da4c2020-11-24T23:30:51ZengMDPI AGMetabolites2218-19892013-10-013488191110.3390/metabo3040881Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse StrainsSunil KochharTomas A. ProllaRichard WeindruchLaeticia Da SilvaIvan MontoliuJamie L. BargerFrançois-Pierre J. MartinSebastiano CollinoCalorie restriction (CR) has long been used to study lifespan effects and oppose the development of a broad array of age-related biological and pathological changes (increase healthspan). Yet, a comprehensive comparison of the metabolic phenotype across different genetic backgrounds to identify common metabolic markers affected by CR is still lacking. Using a system biology approach comprising metabonomics and liver transcriptomics we revealed the effect of CR across multiple mouse strains (129S1/SvlmJ, C57BL6/J, C3H/HeJ, CBA/J, DBA/2J, JC3F1/J). Oligonucleotide microarrays identified 76 genes as differentially expressed in all six strains confirmed. These genes were subjected to quantitative RT-PCR analysis in the C57BL/6J mouse strain, and a CR-induced change expression was confirmed for 14 genes. To fully depict the metabolic pathways affected by CR and complement the changes observed through differential gene expression, the metabolome of C57BL6/J was further characterized in liver tissues, urine and plasma levels using a combination or targeted mass spectrometry and proton nuclear magnetic resonance spectroscopy. Overall, our integrated approach commonly confirms that energy metabolism, stress response, lipids regulators and the insulin/IGF-1 are key determinants factors involved in CR regulation.http://www.mdpi.com/2218-1989/3/4/881metabolomicshealthy ageingcalorie restrictionlipidomics
collection DOAJ
language English
format Article
sources DOAJ
author Sunil Kochhar
Tomas A. Prolla
Richard Weindruch
Laeticia Da Silva
Ivan Montoliu
Jamie L. Barger
François-Pierre J. Martin
Sebastiano Collino
spellingShingle Sunil Kochhar
Tomas A. Prolla
Richard Weindruch
Laeticia Da Silva
Ivan Montoliu
Jamie L. Barger
François-Pierre J. Martin
Sebastiano Collino
Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
Metabolites
metabolomics
healthy ageing
calorie restriction
lipidomics
author_facet Sunil Kochhar
Tomas A. Prolla
Richard Weindruch
Laeticia Da Silva
Ivan Montoliu
Jamie L. Barger
François-Pierre J. Martin
Sebastiano Collino
author_sort Sunil Kochhar
title Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
title_short Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
title_full Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
title_fullStr Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
title_full_unstemmed Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
title_sort transcriptomics and metabonomics identify essential metabolic signatures in calorie restriction (cr) regulation across multiple mouse strains
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2013-10-01
description Calorie restriction (CR) has long been used to study lifespan effects and oppose the development of a broad array of age-related biological and pathological changes (increase healthspan). Yet, a comprehensive comparison of the metabolic phenotype across different genetic backgrounds to identify common metabolic markers affected by CR is still lacking. Using a system biology approach comprising metabonomics and liver transcriptomics we revealed the effect of CR across multiple mouse strains (129S1/SvlmJ, C57BL6/J, C3H/HeJ, CBA/J, DBA/2J, JC3F1/J). Oligonucleotide microarrays identified 76 genes as differentially expressed in all six strains confirmed. These genes were subjected to quantitative RT-PCR analysis in the C57BL/6J mouse strain, and a CR-induced change expression was confirmed for 14 genes. To fully depict the metabolic pathways affected by CR and complement the changes observed through differential gene expression, the metabolome of C57BL6/J was further characterized in liver tissues, urine and plasma levels using a combination or targeted mass spectrometry and proton nuclear magnetic resonance spectroscopy. Overall, our integrated approach commonly confirms that energy metabolism, stress response, lipids regulators and the insulin/IGF-1 are key determinants factors involved in CR regulation.
topic metabolomics
healthy ageing
calorie restriction
lipidomics
url http://www.mdpi.com/2218-1989/3/4/881
work_keys_str_mv AT sunilkochhar transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT tomasaprolla transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT richardweindruch transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT laeticiadasilva transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT ivanmontoliu transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT jamielbarger transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT francoispierrejmartin transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
AT sebastianocollino transcriptomicsandmetabonomicsidentifyessentialmetabolicsignaturesincalorierestrictioncrregulationacrossmultiplemousestrains
_version_ 1725539899338129408