Historic perspectives and recent advances in major animal models of hypertension

Zhong-jie Sun1, Zhong-e Zhang

  • 1Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32610-0274, USA. zsun@phys.med.ufl.edu

Acta Pharmacologica Sinica
|February 18, 2005
PubMed

Insights

This review covers key rodent models for studying hypertension, a complex cardiovascular disease. Understanding these models aids research into hypertension causes and potential new therapies.

Area of Science:

  • Cardiovascular Research
  • Hypertension Pathogenesis
  • Animal Models in Medicine

Background:

  • Hypertension and cardiovascular diseases are leading global causes of mortality.
  • The exact causes of essential hypertension in humans remain largely unknown.
  • Hypertension is considered a complex, multifactorial disease influenced by genetic and environmental interactions.

Purpose of the Study:

  • To provide a concise review of widely utilized rodent models of experimental hypertension.
  • To cover the history and recent advancements in these animal models.
  • To discuss the clinical implications of experimental hypertension models.

Main Methods:

  • Classification of hypertension models into genetically-induced, environmentally-induced, pharmacologically-induced, and renal-induced categories.
  • Review of typical representatives: spontaneous, cold-induced, DOCA-salt-induced, and renal-induced hypertension.
  • Analysis of induction processes, pathogenesis, characteristics, advantages, and limitations of each model.

Main Results:

  • Detailed examination of established rodent models for hypertension research.
  • Comparison of different induction methods and their specific outcomes.
  • Assessment of the utility and drawbacks of each model for studying disease mechanisms.

Conclusions:

  • Rodent models are invaluable tools for investigating hypertension pathogenesis.
  • These models facilitate the exploration of novel therapeutic strategies for hypertension.
  • Understanding the strengths and weaknesses of each model is crucial for effective research translation.

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