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- Cooney, Gregory J2
- Fazakerley, Daniel J2
- Meoli, Christopher C2
- Stöckli, Jacqueline2
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- Andrikopoulos, Sofianos1
- Baldock, Paul A1
- Biden, Trevor J1
- Burchfield, James G1
- Cantley, James1
- Chaudhuri, Rima1
- Enriquez, Ronaldo F1
- Fisher-Wellman, Kelsey H1
- Hoehn, Kyle L1
- Ilkayeva, Olga1
- Kebede, Melkam A1
- Khor, Ee-Cheng1
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- Ma, Xiuquan1
- Mangiafico, Salvatore P1
- Minard, Annabel Y1
- Muoio, Deborah M1
- Nelson, Marin E1
Metabolism
2 Results
- MetabolismOpen Access
High dietary fat and sucrose result in an extensive and time-dependent deterioration in health of multiple physiological systems in mice
Journal of Biological ChemistryVol. 293Issue 15p5731–5745Published online: February 13, 2018- James G. Burchfield
- Melkam A. Kebede
- Christopher C. Meoli
- Jacqueline Stöckli
- P. Tess Whitworth
- Amanda L. Wright
- and others
Cited in Scopus: 48Obesity is associated with metabolic dysfunction, including insulin resistance and hyperinsulinemia, and with disorders such as cardiovascular disease, osteoporosis, and neurodegeneration. Typically, these pathologies are examined in discrete model systems and with limited temporal resolution, and whether these disorders co-occur is therefore unclear. To address this question, here we examined multiple physiological systems in male C57BL/6J mice following prolonged exposure to a high-fat/high-sucrose diet (HFHSD). - MetabolismOpen Access
Metabolomic analysis of insulin resistance across different mouse strains and diets
Journal of Biological ChemistryVol. 292Issue 47p19135–19145Published online: October 5, 2017- Jacqueline Stöckli
- Kelsey H. Fisher-Wellman
- Rima Chaudhuri
- Xiao-Yi Zeng
- Daniel J. Fazakerley
- Christopher C. Meoli
- and others
Cited in Scopus: 25Insulin resistance is a major risk factor for many diseases. However, its underlying mechanism remains unclear in part because it is triggered by a complex relationship between multiple factors, including genes and the environment. Here, we used metabolomics combined with computational methods to identify factors that classified insulin resistance across individual mice derived from three different mouse strains fed two different diets. Three inbred ILSXISS strains were fed high-fat or chow diets and subjected to metabolic phenotyping and metabolomics analysis of skeletal muscle.