Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Collino S 

PROVIDER: S-EPMC3937836 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Collino Sebastiano S   Martin François-Pierre J FP   Montoliu Ivan I   Barger Jamie L JL   Da Silva Laeticia L   Prolla Tomas A TA   Weindruch Richard R   Kochhar Sunil S  

Metabolites 20131011 4


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 (129S  ...[more]

Similar Datasets

| S-EPMC7580877 | biostudies-literature
| S-EPMC7071238 | biostudies-literature
| S-EPMC4519125 | biostudies-literature
| S-EPMC4150907 | biostudies-literature
| S-EPMC3125466 | biostudies-literature
2015-07-14 | E-GEOD-69952 | biostudies-arrayexpress
2015-07-14 | GSE69952 | GEO
2022-03-02 | GSE171322 | GEO
| S-EPMC5371228 | biostudies-literature
| S-EPMC3283719 | biostudies-literature