Due to unforeseen circumstances, this webinar has been temporarily postponed. Please stay tuned for a new date!
In this webinar, Dr. Jonathan Brestoff discusses his research on metabolism and a new method to quantify metabolic data known as Clambake.
Changes in energy expenditure are observed in a wide variety of disease and physiologic states. The most frequently used method to estimate energy expenditure in small animal models is indirect calorimetry, which is utilized in metabolic cage systems. However, total energy expenditure is a composite of four major parameters: basal metabolic rate, activity-induced energy expenditure, the thermic effect of food, and adaptive thermogenesis. This presentation describes a new bioinformatic approach called Clambake that estimates these four parameters using metabolic cage data. Clambake is sufficiently robust to analyze data from new experimental conditions and can reveal hidden phenotypes that might otherwise be overlooked. Therefore, Clambake provides an unprecedented level of detail in metabolic cage data and has the potential to enable novel insights about energy homeostasis in mouse models of physiology or disease.
Key Topics Include:
- To learn how metabolic cage systems function and their value in studying health and disease
- To identify the 4 major parameters that make up total energy expenditure
- To understand the basis of Clambake and the ability of this method to estimate the 4 major energy expenditure parameters using metabolic cage data
- Categories: Cell & Molecular Biology, Human Physiology, Metabolic Function, Obesity
- Tags: algorithm, basal metabolic rate, cellular function, cold stress, energy expenditure, exercise, food intake, metabolic disease, metabolism, obesity, Physiology, thermal activity, uncoupling protein
Presenters
Jonathan Brestoff, MD, PhD, MPH
Assistant Professor
Department of Pathology and Immunology
Washington University School of Medicine
Production Partner
Columbus Instruments
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