Research output: Contribution to journal › Article › peer-review
Original language | English |
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Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Methods in molecular biology (Clifton, N.J.) |
Volume | 2128 |
DOIs | |
Published | 1 Jan 2020 |
Additional links |
Mouse models of diabetes are important tools used in preclinical diabetes research. However, when working with these models, it is important to consider factors that could influence experimental outcome. This is particularly important given the wide variety of models available, each with specific characteristics that could be influenced by extrinsic or intrinsic factors. Blood glucose concentrations, a commonly used and valid endpoint in these models, are particularly susceptible to manipulation by these factors. These include potential effects of intrinsic factors such as strain, sex, and age and extrinsic factors such as husbandry practices and experimental protocols. These variables should therefore be taken into consideration when the model is chosen and the experiments are designed. This chapter outlines common variables that can impact the phenotype of a model, as well as describes the methods used for assessing onset of diabetes and monitoring diabetic mice.
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