Background
The purpose of this study is to develop and characterise a reproducible rabbit model
of LVH regression following pressure-induced myocardial hypertrophy.
Materials and methods
Without endotracheal intubation and mechanical ventilation, a median sternotomy was
performed. The median incision was made exactly along the midline of the sternum.
Ascending aortic diameter was reduced 50% above the aortic valve, which lead to an
approximate 75% reduction in crosssectional area. The sham-operated rabbits underwent
the same procedures without actual ligation of the aorta. The animals of early DB
group and late DB group were subjected to the second operation for removing the ligation
eight weeks or 16 weeks after the initial banding surgery, respectively. Echocardiography,
haemodynamic assessment, histology, and electron microscopy were used to assess functional
and structural aspects of myocardial hypertrophy at each time point.
Results
The pressure overload resulted in robust LVH assessed by echocardiography, haemodynamic
assessment, LV weight/body weight ratios, histology, and electron microscopy. Ascending
aortic debanding completely or partially reversed LVH. The degree of LVH regression
was association with the duration of pressure overload, proved by the fact that restoration
of LV structure and function was complete in animals subjected to eight weeks of aortic
banding but incomplete in animals subjected to 16 weeks of aortic banding. The animals
did not experience severe mechanical ventilatory impairment.
Conclusions
These results demonstrate an efficient and reproducible method of promoting LVH regression
in rabbits without endotracheal intubation and mechanical ventilation.
Keywords
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Article info
Publication history
Published online: January 18, 2013
Accepted:
November 8,
2012
Received in revised form:
October 25,
2012
Received:
April 1,
2012
Identification
Copyright
© 2013 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier Inc. All rights reserved.
