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This Article Full Text Full Text (PDF) All Versions of this Article: 89/5/573    most recent expphysiol.2004.027573v1 Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Grieve, D. J. Articles by Shah, A. M. Search for Related Content PubMed PubMed Citation Articles by Grieve, D. J. Articles by Shah, A. M. Related Collections Heart/Cardiac Muscle

Department of Cardiology, Guy's, King's and St Thomas' School of Medicine, King's College London (Denmark Hill Campus), Bessemer Road, London SE5 9PJ, UK

The development of microconductance technology to study cardiac pressure–volume relations in mice in vivo has significantly advanced the haemodynamic assessment of gene-modified models of cardiovascular disease. In this study, we describe the application of microconductance analysis of cardiac function to the isolated murine ejecting heart. This ex vivo model is complementary to the previously described in vivo preparation, allows assessment without confounding effects of anaesthetic or neurohumoral influences and enables careful control of cardiac loading (particularly preload). Ex vivo pressure–volume relations in the isolated murine heart are sensitive to changes in myocardial contractility induced by ß-adrenoceptor stimulation or ß-adrenoceptor blockade, as well as the effects of chronic pressure overload induced by aortic banding. We present data for both steady-state analyses of the Frank–Starling relation and for assessment of the left ventricular pressure–volume relation over variably loaded beats, which allows investigation of the end-systolic and end-diastolic pressure–volume relations. The measurement of ventricular volume in addition to pressure under carefully controlled loading conditions in the isolated ejecting heart allows a comprehensive analysis of cardiac contractile function, and provides a useful complementary model for the assessment of cardiac performance in murine models of heart disease.

(Received 2 March 2004; accepted after revision 3 June 2004; first published online 7 June 2004)
Corresponding author D. Grieve: Department of Cardiology, GKT School of Medicine, Bessemer Road, London SE5 9PJ, UK. Email: david.grieve{at}kcl.ac.uk

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