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Studying Left Ventricular Reverse Remodeling by Aortic Debanding in Rodents
Published on: July 14, 2021
A modified murine model for the study of reverse cardiac remodelling
Xiu Zhang1, Hadi Javan, Ling Li
1Division of Cardiothoracic Surgery, University of Utah, Salt Lake City, Utah, USA.
Experimental and Clinical Cardiology
|August 14, 2013
Summary
A modified titanium clip effectively models left ventricular hypertrophy (LVH) and its regression in mice. This technique offers a simple, reproducible method for studying heart failure and recovery.
Area of Science:
- Cardiovascular Research
- Animal Models
- Physiology
Background:
- Previous murine models of left ventricular hypertrophy (LVH) using suture constriction had limitations.
- A modified approach utilizing a titanium clip was investigated for improved reproducibility and efficacy.
Purpose of the Study:
- To assess a modified murine model of LVH and regression using a titanium clip for aortic banding.
- To evaluate the effectiveness and reproducibility of this technique in inducing and reversing pressure overload.
Main Methods:
- Ninety-five male C57BL/6 mice underwent minimally invasive aortic banding with a titanium clip for 3, 4, or 6 weeks.
- Hearts were assessed structurally and functionally via heart weight/body weight ratios, echocardiography, and catheterization.
- Band removal was performed after each time point to assess regression.
Main Results:
- Titanium clip banding created a significant gradient, inducing concentric LVH that progressed to dilation and impaired function by 6 weeks.
- Removal of the clip after 3 or 4 weeks allowed for LVH regression and functional recovery.
- Removal after 6 weeks resulted in irreversible cardiac dysfunction and pulmonary congestion.
Conclusions:
- The titanium clip model successfully induces and allows for the relief of pressure overload, enabling study of LVH development and regression.
- This method is a simple, effective, and reproducible alternative to suture ligation for studying murine LVH, heart failure, and regression.
