Key result
Combining animal models and omics technologies helps identify novel biomarkers and therapeutic targets in HF.
Animal models combined with omics technologies are crucial for understanding the progression of heart failure and identifying novel biomarkers and therapeutic targets.
Supports preclinical heart failure research; leaves open clinical translation of identified biomarkers and targets.
It is now accepted that heart failure (HF) is a complex multifunctional disease rather than simply a hemodynamic dysfunction. Despite its complexity, stressed cardiomyocytes often follow conserved patterns of structural remodelling in order to adapt, survive, and regenerate. When cardiac adaptations cannot cope with mechanical, ischemic, and metabolic loads efficiently or become chronically activated, as, for example, after infection, then the ongoing structural remodelling and dedifferentiation often lead to compromised pump function and patient death. It is, therefore, of major importance to understand key events in the progression from a compensatory left ventricular (LV) systolic dysfunction to a decompensatory LV systolic dysfunction and HF. To achieve this, various animal models in combination with an "omics" toolbox can be used. These approaches will ultimately lead to the identification of an arsenal of biomarkers and therapeutic targets which have the potential to shape the medicine of the future.
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Hou et al. (2015) conducted a review in Heart failure. Animal models and omics technologies was evaluated. Animal models combined with omics technologies can help understand key events in heart failure progression and identify novel biomarkers and therapeutic targets.
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