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...
Main Authors: | , , , , , , , |
---|---|
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 |