Experimental models in diabetes research

Lalit P Dewalkar1

  • 1Department of Zoology, Guru Nanak College of Science, Affiliated with Gondwana University Gadchiroli, Ballarpur, Maharashtra, 442701, India. lalit.dewalkar@gncollege.co.in.

Insights

Understanding diabetes requires diverse experimental models. This review compares chemical, dietary, genetic, and in vitro models to guide research and improve diabetes therapies.

Area of Science:

  • Endocrinology and Metabolism
  • Pharmacology and Toxicology

Background:

  • Diabetes mellitus is a significant global health issue affecting over 11% of adults, with many cases undiagnosed.
  • The complex pathogenesis of diabetes necessitates ongoing research for advanced therapeutic strategies.
  • Experimental models are crucial for dissecting disease mechanisms and assessing interventions, though no single model perfectly mirrors human diabetes.

Purpose of the Study:

  • To review and compare various experimental models used in diabetes research.
  • To highlight the strengths, limitations, and translational relevance of different modeling platforms.
  • To guide the rational selection of experimental models for efficient diabetes research and therapeutic innovation.

Main Methods:

  • Review of evidence from diverse experimental platforms including chemical, dietary, genetic, and in vitro models.
  • Analysis of models simulating beta-cell loss (streptozotocin, alloxan).
  • Evaluation of models reflecting insulin resistance and metabolic disturbances (dietary, obesity-induced, ob/ob, db/db mice).
  • Consideration of in vitro systems for mechanistic studies and drug screening.

Main Results:

  • Chemical models (streptozotocin, alloxan) mimic beta-cell destruction.
  • Dietary, obesity-induced, and genetic models (ob/ob, db/db) offer insights into insulin resistance, obesity, and autoimmune aspects.
  • In vitro systems facilitate controlled mechanistic investigations and high-throughput drug screening.
  • Each model type presents unique advantages and disadvantages for studying specific facets of diabetes.

Conclusions:

  • Diverse experimental models are essential for advancing diabetes research and therapeutic development.
  • Understanding the comparative strengths and limitations of each model is key to selecting the most appropriate platform.
  • Rational model selection can significantly enhance the efficiency and translational success of diabetes research.

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