Why the study?
Experimental animal models are used to investigate the aetiology, pathophysiology, consequences, and treatment of hypertension, and to evaluate antihypertensive drugs.
This review provides a comprehensive summary of various in-vitro and in-vivo animal models used in the research and screening of anti-hypertensive therapies.
Animal models overview aids preclinical antihypertensive screening; leaves open which best predict human efficacy.
One of the main contributors to death or disability from heart attack, stroke, and renal failure is hypertension. Experimental animal models have been extremely useful in learning more about the aetiology, pathophysiology, consequences, and treatment of hypertension and antihypertensive drugs are evaluated. There are several strains of genetically hypertensive rats available today, and most laboratories use these models to conduct therapeutic studies on hypertension. Both traditional and genetic models of hypertension animal models, their characteristics, and their significance are summarized as: In-Vitro Animal Models: Antagonism of Endothelin Receptors in Porcine Isolated Hearts and Monocrotaline induced pulmonary Hypertension. In-Vivo Animal Models: Rat Hypertension Models One-Kidney-Two Clip (Goldblatt hypertension, 2K1C), Rats with Chronic Renal Hypertension (1-kidney-1-clip method), Pithed rats blood pressure, Tail Cuff in rats, Blood pressure measurements using an ingestible catheter in conscious rats, Dahl salt-sensitive rat model, Model of Fructose- induced Hypertension in rats, DOCO Salt rats, Spontaneously Hypertensive Rats, Transgenic Rats Overexpressing Mouse Ren2 Gene (TGR (mRen 2) 27), Models of hypertension in dogs (Renal Chronic Hypertension), Neurogenic hypertension, Hypertension model of a monkey (Inhibition of renin in monkeys), Hypertension transgenic models and Hypertension by chronic inhibition of nitric oxide. Conclusion: In this article, experimental models of hypertension, traditional and genetic gives quick summary of the most popular animal models, their characteristics, and their significance.
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Bhat et al. (2023) studied this question.
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