Metabolic researchers need simultaneous multi-parameter measurements of Respiratory Exchange Ratio (RER), animal activity and food intake to properly asses metabolism. However, selecting the correct equipment and aligning data can be challenging. This webinar discusses the essential elements of metabolic research and how they are to be applied.
In this exclusive event sponsored by Columbus Instruments, Chris Adams provides an overview of essential parameters for studying energy expenditure in laboratory rodents. He reviews gas exchange using open circuit indirect calorimetry to measure VO2, VCO2, RER and energy expenditure; food/water intake using direct mass measurement for accumulative and/or bout monitoring for controlling caloric intake and for identifying diet preference; and activity using an IR photo-cell array and/or running wheel rotation for scoring locomotion, stereotypic behavior (grooming/scratching), resting behavior and wheel running behavior.
In addition, Dr. Marta Fiorotto presents quantitative data acquired in her lab such as energy intake and energy expenditure while highlighting qualitative measurements such as spontaneous cage activity, voluntary activity and dietary-induced thermogenesis. She discusses the value of “secondary data” as well with a focus on RER and behaviors such as eating patterns, sleeping and exploratory drive. Finally, Dr. Fiorotto highlights key considerations for proper experimental design and to ensure data validity including habituation, animal-to-animal individuality, diets, environmental factors, instrument setup, timing of measurement and normalization protocols.
Key topics in this webinar include…
- Essential tools and approaches for monitoring energy expenditure and energy intake in laboratory rodents
- Pros and cons of assorted methodologies and measurement approaches
- How various parameters measured relate to the components of energy balance
- How to approach experimental design to ensure data validity
- Mining secondary data outcomes that can contribute to understanding primary outcome responses
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