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Explora's scientific team has extensive hands-on working experience in diabetes and obesity drug development. We can assist you with experiment design, animal model selection, study conduct, data analysis and report writing.
Explora's research team has:
- Hands-on experience with a variety of animal metabolic models

- Extensive experience in diabetes and obesity drug development
- Excellent technical and surgical capability
- Established IACUC protocols
We can assist with:
- Model selection and study design
- In vivo drug screening
- General technical report (GTR) generation for IND filing
- On-site technical support and training
- Explora Rodent Diabetes/Obesity Models
Genetic Models: Many genetic changes can cause obesity and diabetic phenotypes. Several commercially available models are commonly used in diabetes/obesity research:
- Zucker rat model
- db/db mouse model
- NOD mouse model
- Other genetic models, such as Tubby
Non-Genetic Models: Experimental procedures can be used to produce animals with obesity and diabetic phenotypes. The following models, which can be produced by Explora, are commonly used in diabetes research:
- Diet induced obesity (DIO) model, which is a model for type II diabetes
- STZ (streptozotocin) induced diabetic model, which is a model for type I diabetes
Assays and Endpoints
While many therapeutics have acute effects, others achieve their full effects after chronic treatment. Explora can help you design protocols that yield high-quality, meaningful data from every study. Common assays used in diabetes studies include:
In Vivo Assays for Glucose Metabolism
- Resting Glucose levels
- Glucose Tolerance Test (GTT)
- Insulin Tolerance Test (ITT)
Additional Parameters
- Clinical observations
- Body weight
- In-life collection of blood, serum, plasma, urine or feces for metabolite analysis
- Necropsy with histopathology and immunostaining
Contact us to find out how Explora can help you design meaningful experiments, contain costs, meet timelines, and achieve your preclinical research goals.