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Future Perspective of Diabetic Animal Models
Shashank Pandey1, Magdalena C Dvorakova1,2
1Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Endocrine, Metabolic & Immune Disorders Drug Targets
|June 27, 2019
Summary
Developing reliable diabetic animal models is crucial for understanding diabetes and improving therapies. This review ranks popular models and proposes future advancements for better human translation.
Area of Science:
- * Endocrinology and immunology research.
- * Pre-clinical research and drug discovery.
Background:
- * Diabetic animal models are vital for understanding disease pathogenesis, genetic factors, and microbiota influences.
- * Many immunotherapies successful in animals fail in human clinical trials due to model limitations.
- * Inconsistent animal models lead to low success rates for drug candidates in clinical trials.
Purpose of the Study:
- * To evaluate the significance of existing diabetic animal models.
- * To rank popular models based on PubMed literature.
- * To propose future directions for developing advanced diabetic models.
Main Methods:
- * Literature review and analysis of published data on PubMed.
- * Selection and ranking of six prominent diabetic animal models.
- * Discussion of future concepts for next-generation diabetic models.
Main Results:
- * Six key diabetic animal models were identified and ranked: BioBreeding rat, LEW IDDM rat, Nonobese Diabetic (NOD) mouse, STZ RAT, LEPR Mouse, and Zucker Diabetic Fatty (ZDF) rat.
- * The review highlights the strengths and limitations of these models in pre-clinical research.
- * A vision for a 21st-century diabetic model, including the
- one mouse-one human
- concept and organs-on-chips, was presented.
Conclusions:
- * Existing animal models have contributed significantly but require validation for consistency.
- * Ranking models based on literature aids in selecting appropriate tools for research.
- * Future models should aim for improved human relevance, potentially integrating advanced technologies.
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