Abstract
Background:Metabolic disorders are commonly investigated using knockout and transgenic mouse models on the C57BL/6N genetic background due to its genetic susceptibility to the deleterious metabolic effects of high-fat diet (HFD). There is growing awareness of the need to consider sex in disease progression, but limited attention has been paid to sexual dimorphism in mouse models and its impact in metabolic phenotypes. We assessed the effect of HFD and the impact of sex on metabolic variables in this strain.Methods:We generated a reference data set encompassing glucose tolerance, body composition and plasma chemistry data from 586 C57BL/6N mice fed a standard chow and 733 fed a HFD collected as part of a high-throughput phenotyping pipeline. Linear mixed model regression analysis was used in a dual analysis to assess the effect of HFD as an absolute change in phenotype, but also as a relative change accounting for the potential confounding effect of body weight.Results:HFD had a significant impact on all variables tested with an average absolute effect size of 29%. For the majority of variables (78%), the treatment effect was modified by sex and this was dominated by male-specific or a male stronger effect. On average, there was a 13.2% difference in the effect size between the male and female mice for sexually dimorphic variables. HFD led to a significant body weight phenotype (24% increase), which acts as a confounding effect on the other analysed variables. For 79% of the variables, body weight was found to be a significant source of variation, but even after accounting for this confounding effect, similar HFD-induced phenotypic changes were found to when not accounting for weight.Conclusion:HFD and sex are powerful modifiers of metabolic parameters in C57BL/6N mice. We also demonstrate the value of considering body size as a covariate to obtain a richer understanding of metabolic phenotypes.
Highlights
BACKGROUNDMetabolic disorders are commonly investigated using knockout and transgenic mouse models on the C57BL/6N genetic background due to its genetic susceptibility to the deleterious metabolic effects of high-fat diet (HFD)
The development of transgenic and knockout mouse technologies has facilitated the production of in vivo models that have greatly enhanced our understanding of disease mechanisms and have become commonplace in medical research
The analysis presented here assumes that the omission of these screens in the MGP Select pipeline does not impact the outcomes of the intraperitoneal glucose tolerance test (ipGTT), dual-energy X-ray absorptiometry (DEXA) and clinical chemistry screens
Summary
Metabolic disorders are commonly investigated using knockout and transgenic mouse models on the C57BL/6N genetic background due to its genetic susceptibility to the deleterious metabolic effects of high-fat diet (HFD). There is growing awareness of the need to consider sex in disease progression, but limited attention has been paid to sexual dimorphism in mouse models and its impact in metabolic phenotypes. We assessed the effect of HFD and the impact of sex on metabolic variables in this strain. Linear mixed model regression analysis was used in a dual analysis to assess the effect of HFD as an absolute change in phenotype, and as a relative change accounting for the potential confounding effect of body weight. RESULTS: HFD had a significant impact on all variables tested with an average absolute effect size of 29%. HFD led to a significant body weight phenotype (24% increase), which acts as a confounding effect on the other analysed variables. CONCLUSION: HFD and sex are powerful modifiers of metabolic parameters in C57BL/6N mice. Nutrition & Diabetes (2017) 7, e261; doi:10.1038/nutd.2017.6; published online 10 April 2017
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.