Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29860
Title: Current animal models for the study of congestion in heart failure: an overview
Authors: COPS, Jirka 
HAESEN, Sibren 
DE MOOR, Bart 
MULLENS, Wilfried 
HANSEN, Dominique 
Issue Date: 2019
Source: HEART FAILURE REVIEWS, 24(3), p. 387-397
Abstract: Congestion (i.e., backward failure) is an important culprit mechanism driving disease progression in heart failure. Nevertheless, congestion remains often underappreciated and clinicians underestimate the importance of congestion on the pathophysiology of decompensation in heart failure. In patients, it is however difficult to study how isolated congestion contributes to organ dysfunction, since heart failure and chronic kidney disease very often coexist in the so-called cardiorenal syndrome. Here, we review the existing relevant and suitable backward heart failure animal models to induce congestion, induced in the left- (i.e., myocardial infarction, rapid ventricular pacing) or right-sided heart (i.e., aorta-caval shunt, mitral valve regurgitation, and monocrotaline), and more specific animal models of congestion, induced by saline infusion or inferior vena cava constriction. Next, we examine critically how representative they are for the clinical situation. After all, a relevant animal model of isolated congestion offers the unique possibility of studying the effects of congestion in heart failure and the cardiorenal syndrome, separately from forward failure (i.e., impaired cardiac output). In this respect, new treatment options can be discovered.
Notes: Since this is a review article, this article does not contain any studies with human participants or animals performed by any of the authors.
Keywords: Animal model; Congestion; Inferior vena cava constriction; Central venous pressure
Document URI: http://hdl.handle.net/1942/29860
Link to publication/dataset: https://link.springer.com/article/10.1007/s10741-018-9762-4
ISSN: 1382-4147
e-ISSN: 1573-7322
DOI: 10.1007/s10741-018-9762-4
ISI #: 000465250100009
Rights: The Author(s) 2019 article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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