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1 Laboratory for Physiology, Institute for Cardiovascular Research, VU University Medical Center, Amsterdam, The Netherlands
2 Micro-array core Facility, VU University Medical Center, Amsterdam, The Netherlands
3 Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands
* To whom correspondence should be addressed. E-mail: ws.simonides{at}vumc.nl.
Myocardial right-ventricular (RV) hypertrophy due to pulmonary hypertension is aimed at normalizing ventricular wall stress. Depending on the degree of pressure overload, RV hypertrophy may progress to a state of impaired contractile function and heart failure, but this can not be discerned during the early stages of ventricular remodeling. We tested whether critical differences in gene-expression profiles exist between ventricles before the ultimate development of either a compensated or decompensated hypertrophic phenotype. Both phenotypes were selectively induced in Wistar rats by a single subcutaneous injection of either a low or a high dose of the pyrrolizidine alkaloid monocrotaline (MCT). Spotted oligonucleotide micro-arrays were used to investigate pressure-dependent cardiac gene-expression profiles at two weeks after the MCT injections, between control rats and rats that would ultimately develop either compensated or decompensated hypertrophy. Clustering of significantly regulated genes revealed specific expression profiles for each group, although the degree of hypertrophy was still similar in both. The ventricles destined to progress to failure showed activation of pro-apoptotic pathways, particularly related to mitochondria, while the group developing compensated hypertrophy showed blocked pro-death effector signalling via p38 MAPK, through upregulation of MKP1. In summary, we show that already at an early time point, pivotal differences in gene expression exist between ventricles that will ultimately develop either a compensated or a decompensated phenotype, depending on the degree of pressure overload. These data reveal genes that may provide markers for the early prediction of clinical outcome as well as potential targets for early intervention.
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