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Related Experiment Video

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Body Composition and Metabolic Caging Analysis in High Fat Fed Mice

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice

Published on: May 24, 2018

Genetic background determines metabolic phenotypes in the mouse.

Marie-France Champy¹, Mohammed Selloum, Valérie Zeitler

¹Institut Clinique de la Souris, BP 10142, 67404, Illkirch Cedex, France. Marie-France.Champy@titus.u-strasbg.fr

Mammalian Genome : Official Journal of the International Mammalian Genome Society

|April 9, 2008

Summary

Genetic background significantly impacts mouse metabolic and hematologic traits, influencing phenotypic variation. Careful strain selection is crucial for reproducible research and identifying disease-related genes.

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Area of Science:

Genetics
Metabolomics
Physiology

Background:

Phenotypic variation is influenced by genetic background.
Understanding strain-specific differences is vital for research reproducibility.
Inbred mouse strains are critical models for human disease research.

Purpose of the Study:

To investigate the impact of genetic background on phenotypic variation.
To compare biochemical, metabolic, and hematologic parameters across four inbred mouse strains.
To highlight the importance of genetic background in phenotypic studies.

Main Methods:

Comparison of biochemical and metabolic parameters.
Analysis across four distinct inbred mouse strains (C57BL/6J, 129SvPas, C3HeB/FeJ, Balb/cByJ).
Evaluation at different ages and across genders.

Main Results:

Significant metabolic, hematologic, and biochemical differences were observed between mouse strains.
These strain-specific differences are largely gender-independent and persist throughout life.
Different strains exhibit varying propensities for specific biochemical, hematologic, and metabolic abnormalities.

Conclusions:

Genetic background is a critical determinant of phenotypic variation in mice.
Careful definition and selection of genetic background are imperative for phenotypic studies.
Strain-specific differences can be leveraged to identify genes contributing to phenotypic abnormalities and guide genetically engineered mouse model development.