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Diet- Induced Disease Models

Most all of us are aware that certain dietary choices can increase or decrease the likelihood
of developing certain diseases. Our diets can also change our metabolism as well as the levels of circulating factors (hormones, lipids, etc.) which may be markers for disease risk. What is often overlooked is the fact that these concepts also apply to laboratory animals, making diet a critical part of study design.

Nutritional science research during the 20th century has shown that diet is a powerful environmental tool capable of changing the phenotype of an animal. Diet-induced disease models rely on diet to drive the desired phenotype. Examples include diet-induced obesity, diabetes, dyslipidemia, hepatosteatosis, atherosclerosis, and hypertension, to name a few. Diet also plays an extremely important role even when it is not being used purposefully to develop a disease state. For one, diets fed during pregnancy and lactation can have long-term effects on the phenotype of the offspring. Additionally, diets fed during a toxicology study can affect how the test compound manifests its toxicological effects. Hence, conclusions drawn about the toxicology of a compound
may vary depending on the type of diet fed during the study.

Research Diets, Inc. pioneered the formulation and production of open formula purified diets leading to diet induced disease models such as these, as well as others.

Diet- Induced
Disease Models

  
 
 
 

Continuity of Animal Models
Establish continuity of your animal models across all facilities worldwide and across therapeutic areas by using the same OpenSource Diets. The known nutritional content and lack of batch-to-batch variability in purified OpenSource Diets means researchers around the world can reliably report, repeat and revise their studies. The very nature of open source diets argues for their use in all lab animal research.

Report, Repeat and Revise
When choosing a diet, one should ask three questions: Can I report it (can I tell others exactly what my animals were fed)? Can I repeat it (is there diet variability and will I be able to get the same results next year)? Can I revise it (as my hypotheses change, can I easily change the dietary components while keeping it otherwise matched to previous diets)? The answer should be “yes” to all three. OpenSource Diets answer "yes" to all three.
 
 
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