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Knuth MM, Campos CV, Smith K, Hutchins EK, Lewis S, York M, Coghill LM, Franklin C, MacFarlane AJ, Ericsson AC, Magnuson T, Ideraabdullah F. Timing of standard chow exposure determines the variability of mouse phenotypic outcomes and gut microbiota profile. Lab Anim (NY) 2025; 54:24-36. [PMID: 39639104 DOI: 10.1038/s41684-024-01477-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 11/07/2024] [Indexed: 12/07/2024]
Abstract
Standard chow diets influence reproducibility in animal model experiments because chows have different nutrient compositions, which can independently influence phenotypes. However, there is little evidence of the role of timing in the extent of variability caused by chow exposure. Here we measured the impact of different diets (5V5M, 5V0G, 2920X and 5058) and timing of exposure (adult exposure (AE), lifetime exposure (LE) and developmental exposure (DE)) on growth and development, metabolic health indicators and gut bacterial microbiota profiles across genetically identical C57BL/6J mice. Diet drove differences in macro- and micronutrient intake for all exposure models. AE had no effect on phenotypic outcomes. However, LE mice exhibited significant sex-dependent diet effects on growth, body weight and body composition. LE effects were mostly absent in the DE model, where mice were exposed to chow differences only from conception to weaning. Both AE and LE models exhibited similar diet-driven beta diversity profiles for the gut bacterial microbiota, with 5058 diet driving the most distinct profile. However, compared with AE, LE effects on beta diversity were sex dependent, and LE mice exhibited nine times more differentially abundant bacterial genera, the majority of which were inversely affected by 2920X and 5058 diets. Our findings demonstrate that LE to different chow diets has the greatest impact on the reproducibility of several experimental measures commonly used in preclinical mouse model studies. Importantly, weaning mice from different diets onto the same diet for maturation may be an effective way to reduce unwanted phenotypic variability among experimental models.
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Affiliation(s)
- Megan M Knuth
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carolina Vieira Campos
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Kirsten Smith
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth K Hutchins
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shantae Lewis
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mary York
- University of Missouri Bioinformatics and Analytics Core, Bond Life Sciences Center, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Lyndon M Coghill
- University of Missouri Bioinformatics and Analytics Core, Bond Life Sciences Center, Columbia, MO, USA
- Department of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA
| | - Craig Franklin
- Department of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA
- Mutant Mouse Resource and Research Center at the University of Missouri, Columbia, MO, USA
- MU Metagenomics Center, University of Missouri, Columbia, MO, USA
| | - Amanda J MacFarlane
- Texas A&M Agriculture, Food and Nutrition Evidence Center, Fort Worth, TX, USA
- Department of Nutrition, Texas A&M University, College Station, TX, USA
| | - Aaron C Ericsson
- Department of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA
- Mutant Mouse Resource and Research Center at the University of Missouri, Columbia, MO, USA
- MU Metagenomics Center, University of Missouri, Columbia, MO, USA
| | - Terry Magnuson
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Mutant Mouse Resource and Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Folami Ideraabdullah
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Mutant Mouse Resource and Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Knuth MM, Campos CV, Smith K, Hutchins EK, Lewis S, York M, Coghill LM, Franklin C, MacFarlane A, Ericsson AC, Magnuson T, Ideraabdullah F. Timing of standard chow exposure determines the variability of mouse phenotypic outcomes and gut microbiota profile. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.28.587032. [PMID: 38585881 PMCID: PMC10996631 DOI: 10.1101/2024.03.28.587032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Standard chow diet contributes to reproducibility in animal model experiments since chows differ in nutrient composition, which can independently influence phenotypes. However, there is little evidence of the role of timing in the extent of variability caused by chow exposure. Here, we measured the impact of diet (5V5M, 5V0G, 2920X, and 5058) and timing of exposure (adult exposure (AE), lifetime exposure (LE), and developmental exposure (DE)) on growth & development, metabolic health indicators, and gut bacterial microbiota profiles across genetically identical C57BL6/J mice. Diet drove differences in macro- and micronutrient intake for all exposure models. AE had no effect on measured outcomes. However, LE mice exhibited significant sex-dependent diet effects on growth, body weight, and body composition. LE effects were mostly absent in the DE model, where mice were exposed to chow differences from conception to weaning. Both AE and LE models exhibited similar diet-driven beta diversity profiles for the gut bacterial microbiota, with 5058 diet driving the most distinct profile. Diet-induced beta diversity profiles were sex-dependent for LE mice. Compared to AE, LE drove 9X more diet-driven differentially abundant genera, majority of which were the result of inverse effects of 2920X and 5058. Our findings demonstrate that lifetime exposure to different chow diets has the greatest impact on reproducibility of experimental measures that are common components of preclinical mouse model studies. Importantly, weaning DE mice onto a uniform diet is likely an effective way to reduce unwanted phenotypic variability among experimental models.
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Affiliation(s)
- Megan M. Knuth
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Carolina Vieira Campos
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-881, Brazil
| | - Kirsten Smith
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Postbaccalaureate Research Education Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Elizabeth K. Hutchins
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Shantae Lewis
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Postbaccalaureate Research Education Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Mary York
- University of Missouri (MU) Bioinformatics and Analytics Core, Bond Life Sciences Center, Columbia, MO 65201, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Lyndon M. Coghill
- University of Missouri (MU) Bioinformatics and Analytics Core, Bond Life Sciences Center, Columbia, MO 65201, USA
- Department of Veterinary Pathobiology, MU, Columbia, MO 65201, USA
| | - Craig Franklin
- Department of Veterinary Pathobiology, MU, Columbia, MO 65201, USA
- Mutant Mouse Resource and Research Center at the University of Missouri (MU MMRRC), Columbia, MO 65201, USA
- MU Metagenomics Center (MUMC), University of Missouri, Columbia, MO 65201, USA
| | - Amanda MacFarlane
- Texas A&M Agriculture, Food, and Nutrition Evidence Center, Fort Worth, TX 76102, USA
- Department of Nutrition, Texas A&M University, College Station TX 77843, USA
| | - Aaron C. Ericsson
- Department of Veterinary Pathobiology, MU, Columbia, MO 65201, USA
- Mutant Mouse Resource and Research Center at the University of Missouri (MU MMRRC), Columbia, MO 65201, USA
- MU Metagenomics Center (MUMC), University of Missouri, Columbia, MO 65201, USA
| | - Terry Magnuson
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Mutant Mouse Resource and Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Folami Ideraabdullah
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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