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A big-data approach to understanding metabolic rate and response to obesity in laboratory mice.
Corrigan, June K; Ramachandran, Deepti; He, Yuchen; Palmer, Colin J; Jurczak, Michael J; Chen, Rui; Li, Bingshan; Friedline, Randall H; Kim, Jason K; Ramsey, Jon J; Lantier, Louise; McGuinness, Owen P; Banks, Alexander S.
Afiliación
  • Corrigan JK; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States.
  • Ramachandran D; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States.
  • He Y; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States.
  • Palmer CJ; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States.
  • Jurczak MJ; Division of Endocrinology, Yale University School of Medicine, New Haven, United States.
  • Chen R; Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, United States.
  • Li B; Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, United States.
  • Friedline RH; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.
  • Kim JK; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.
  • Ramsey JJ; Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Massachusetts Medical School, Worcester, United States.
  • Lantier L; Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, United States.
  • McGuinness OP; Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, United States.
Elife ; 92020 05 01.
Article en En | MEDLINE | ID: mdl-32356724
Maintaining a healthy weight requires the body to balance energy intake and expenditure. The body converts food to energy through a process called energy metabolism. Genetic and environmental factors can affect energy metabolism and energy balance contributing to conditions like obesity. To better understand metabolism, scientists often study mice in laboratories, but mice from different laboratories appear to convert food to energy at different rates. This makes it hard to determine what is 'normal' for mouse metabolism. These discrepancies could be due to small differences between how mice are kept in different laboratories. For example, the temperatures of the mouse cages or how active the mice are might differ depending on the laboratory. Identifying the effects of such differences is essential, but it requires looking at data from hundreds of mice. Corrigan et al. examined data from more than 30,000 mice at laboratories around the world to show that room temperatures and the amount of muscle and fat in a mouse's body have the biggest influence on energy balance. These two factors affected the metabolism of both typical mice and mice with mutations that affect their energy balance. These results suggest that it is important for scientists to report factors like room temperatures, the body make-up of the mice, or the animals' activity levels in metabolism studies. This can help scientists compare results and repeat experiments, which could speed up research into mouse metabolism. Corrigan et al. also found that other unknown factors also affect mouse metabolism in different laboratories. Further studies are needed to identify these factors.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolismo Energético / Adiposidad / Macrodatos / Obesidad Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Elife Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolismo Energético / Adiposidad / Macrodatos / Obesidad Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Elife Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos