Literature DB >> 19390516

High energy digestion efficiency and altered lipid metabolism contribute to obesity in BFMI mice.

Carola W Meyer1, Asja Wagener, Nadine Rink, Claudia Hantschel, Gerhard Heldmaier, Martin Klingenspor, Gudrun A Brockmann.   

Abstract

To constitute a valuable resource to identify individual genes involved in the development of obesity, a novel mouse model, the Berlin Fat Mouse Inbred line 860 (BFMI860), was established. In order to characterize energy intake and energy expenditure in obese BFMI860 mice, we performed two independent sets of experiments in male BFMI860 and B6 control mice (10 per line). In experiment 1, we analyzed body fat content noninvasively by dual-energy X-ray absorptiometry and measured resting metabolic rate at thermoneutrality (RMRt) and respiratory quotient (RQ) in week 6, 10, and 18. In a second experiment, energy digested (energy intake minus fecal energy loss) was determined by bomb calorimetry from week 6 through week 12. BFMI860 mice were heavier and had higher fat mass (final body fat content was 24.7% compared with 14.6% in B6). They also showed fatty liver syndrome. High body fat accumulation in BFMI860 mice was restricted to weeks 6-10 and was accompanied by hyperphagia, higher energy digestion, higher RQs, and abnormally high blood triglyceride levels. Lean mass-adjusted RMRt was not altered between lines. These results indicate that in BFMI860 mice, the excessive accumulation of body fat is associated with altered lipid metabolism, high energy intake, and energy digestion. Assuming that BFMI860 mice and their obese phenotypes are of polygenic nature, this line is an excellent model for the study of obesity in humans, especially for juvenile obesity and hyperlipidemia.

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Year:  2009        PMID: 19390516     DOI: 10.1038/oby.2009.124

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  8 in total

1.  High-fat diet leads to a decreased methylation of the Mc4r gene in the obese BFMI and the lean B6 mouse lines.

Authors:  S Widiker; S Karst; A Wagener; G A Brockmann
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

2.  Features of the metabolic syndrome in the Berlin Fat Mouse as a model for human obesity.

Authors:  Claudia Hantschel; Asja Wagener; Christina Neuschl; Daniel Teupser; Gudrun A Brockmann
Journal:  Obes Facts       Date:  2011-07-26       Impact factor: 3.942

3.  Fine mapping a major obesity locus (jObes1) using a Berlin Fat Mouse × B6N advanced intercross population.

Authors:  D Arends; S Heise; S Kärst; J Trost; G A Brockmann
Journal:  Int J Obes (Lond)       Date:  2016-08-19       Impact factor: 5.095

4.  Genetic and diet effects on Ppar-α and Ppar-γ signaling pathways in the Berlin Fat Mouse Inbred line with genetic predisposition for obesity.

Authors:  Asja Wagener; Helge F Goessling; Armin O Schmitt; Susanne Mauel; Achim D Gruber; Richard Reinhardt; Gudrun A Brockmann
Journal:  Lipids Health Dis       Date:  2010-09-10       Impact factor: 3.876

5.  A deletion containing a CTCF-element in intron 8 of the Bbs7 gene is partially responsible for juvenile obesity in the Berlin Fat Mouse.

Authors:  Florian Krause; Kourosh Mohebian; Manuel Delpero; Deike Hesse; Ralf Kühn; Danny Arends; Gudrun A Brockmann
Journal:  Mamm Genome       Date:  2021-12-15       Impact factor: 3.224

6.  The age of attaining highest body weight correlates with lifespan in a genetically obese mouse model.

Authors:  A Wagener; U Müller; G A Brockmann
Journal:  Nutr Diabetes       Date:  2013-03-18       Impact factor: 5.097

7.  Changes in metabolite profiles caused by genetically determined obesity in mice.

Authors:  Nadine Schäfer; Zhonghao Yu; Asja Wagener; Marion K Millrose; Monika Reissmann; Ralf Bortfeldt; Christoph Dieterich; Jerzy Adamski; Rui Wang-Sattler; Thomas Illig; Gudrun A Brockmann
Journal:  Metabolomics       Date:  2013-10-19       Impact factor: 4.290

8.  The direction of cross affects [corrected] obesity after puberty in male but not female offspring.

Authors:  Stefan Kärst; Danny Arends; Sebastian Heise; Jan Trost; Marie-Laure Yaspo; Vyacheslav Amstislavskiy; Thomas Risch; Hans Lehrach; Gudrun A Brockmann
Journal:  BMC Genomics       Date:  2015-11-06       Impact factor: 3.969

  8 in total

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