Open Access Green as soon as Postprint is submitted to ZB.
Changes in metabolite profiles caused by genetically determined obesity in mice.
Catal. Lett. 10, 461-472 (2014)
The Berlin Fat Mouse Inbred (BFMI) line harbors a major recessive gene defect on chromosome 3 (jobes1) leading to juvenile obesity and metabolic syndrome. The present study aimed at the identification of metabolites that might be linked to recessively acting genes in the obesity locus. Firstly, serum metabolites were analyzed between obese BFMI and lean B6 and BFMI × B6 F1 mice to identify metabolites that are different. In a second step, a metabolite-protein network analysis was performed linking metabolites typical for BFMI mice with genes of the jobes1 region. The levels of 22 diacyl-phosphatidylcholines (PC aa), two lyso-PC and three carnitines were found to be significantly lower in obese mice compared with lean mice, while serine, glycine, arginine and hydroxysphingomyelin were higher for the same comparison. The network analysis identified PC aa C42:1 as functionally linked with the genes Ccna2 and Trpc3 via the enzymes choline kinase alpha and phospholipase A2 group 1B (PLA2G1B), respectively. Gene expression analysis revealed elevated Ccna2 expression in adipose tissue of BFMI mice. Furthermore, unique mutations were found in the Ccna2 promoter of BFMI mice which are located in binding sites for transcription factors or micro RNAs and could cause differential Ccna2 mRNA levels between BFMI and B6 mice. Increased expression of Ccna2 was consistent with higher mitotic activity of adipose tissue in BFMI mice. Therefore, we suggest a higher demand for PC necessary for adipose tissue growth and remodeling. This study highlights the relationship between metabolite profiles and the underlying genetics of obesity in the BFMI line.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Adiposity; Metabolism; Phosphatidylcholine; Berlin Fat Mouse; Multivariate Statistical-analysis; Body-composition Analysis; Mass-spectrometry; Tof Ms; Metabolomics; Plasma; Metabonomics; Perspective; Association
ISSN (print) / ISBN
1011-372X
e-ISSN
1572-879X
Journal
Catalysis Letters
Quellenangaben
Volume: 10,
Issue: 3,
Pages: 461-472
Publisher
Springer
Publishing Place
New York, NY
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Molekulare Endokrinologie und Metabolismus (MEM)
Research Unit Molecular Epidemiology (AME)
Institute of Experimental Genetics (IEG)
Research Unit Molecular Epidemiology (AME)
Institute of Experimental Genetics (IEG)