Next Article in Journal
A Rapid Method for the Extraction and Analysis of Carotenoids and Other Hydrophobic Substances Suitable for Systems Biology Studies with Photosynthetic Bacteria
Previous Article in Journal
Comparative Pharmacokinetics of Naringin in Rat after Oral Administration of Chaihu-Shu-Gan-San Aqueous Extract and Naringin Alone
Previous Article in Special Issue
Physiological and Molecular Timing of the Glucose to Acetate Transition in Escherichia coli
Metabolites 2013, 3(4), 881-911; doi:10.3390/metabo3040881
Article

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

1,†,* , 1,†,* , 2, 3
, 1
, 4, 5
 and 2
1 Nestlé Institute of Health Sciences SA, Molecular Biomarkers Core, Campus EPFL, Quartier de l'innovation, bâtiment H, Lausanne 1015, Switzerland 2 Nestlé Research Center, Nestec Ltd., Vers-chez-les-Blanc, CH-1000 Lausanne 26, Switzerland 3 LifeGen Technologies, LLC (Limited Liability Company), Madison, WI 53719, USA 4 Departments of Genetics and Medical Genetics, University of Wisconsin, Madison, WI 53704, USA 5 Department of Medicine, University of Wisconsin and William S. Middleton Veteran's Hospital, Madison, WI 53705, USA These authors contributed equally to this work.
* Authors to whom correspondence should be addressed.
Received: 28 June 2013 / Revised: 23 September 2013 / Accepted: 25 September 2013 / Published: 11 October 2013
(This article belongs to the Special Issue Integrative Metabolomics)
View Full-Text   |   Download PDF [975 KB, 15 October 2013; original version 11 October 2013]   |   Browse Figures

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.
Keywords: metabolomics; healthy ageing; calorie restriction; lipidomics metabolomics; healthy ageing; calorie restriction; lipidomics
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

Collino, S.; Martin, F.-P.J.; Montoliu, I.; Barger, J.L.; Da Silva, L.; Prolla, T.A.; Weindruch, R.; Kochhar, S. Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains. Metabolites 2013, 3, 881-911.

View more citation formats

Supplement

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Metabolites EISSN 2218-1989 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert