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Implantation of an Isoproterenol Mini-Pump to Induce Heart Failure in Mice
Published on: October 3, 2019
Biased β2-adrenoceptor signalling in heart failure: pathophysiology and drug discovery
Anthony Yiu-Ho Woo1,2, Ying Song1, Rui-Ping Xiao1,3
1Institute of Molecular Medicine, Centre for Life Sciences, Peking University, Beijing, China.
Insights
Heart failure involves hyperstimulated beta-adrenoceptors. Targeting specific signaling pathways, like Gi-biased beta2-adrenoceptor signaling, offers a novel therapeutic strategy for heart failure treatment.
Area of Science:
- Cardiovascular Physiology
- Pharmacology
- Molecular Biology
Background:
- The heart adjusts cardiac output via catecholamines and beta-adrenoceptors.
- Heart failure is characterized by insufficient cardiac output and hyperstimulated beta-adrenoceptors.
- Beta-adrenoceptor subtypes (β1 and β2) signal through different pathways (Gs, Gi, β-arrestin) with varying effects on contractility and cardiotoxicity.
Purpose of the Study:
- To review the dysregulation of beta-adrenoceptor subtype signaling in the failing heart.
- To discuss the pathogenic role of Gi-biased beta2-adrenoceptor signaling in heart failure.
- To explore a novel therapeutic approach using biased signaling in heart failure.
Main Methods:
- Review of existing literature on beta-adrenoceptor signaling in cardiomyocytes.
- Analysis of beta-adrenoceptor localization and signaling pathways (Gs, Gi, β-arrestin).
- Discussion of a novel combination therapy involving a Gs-biased β2-adrenoceptor agonist and a β1-adrenoceptor antagonist.
Main Results:
- Gi-biased β2-adrenoceptor signaling is identified as a pathogenic pathway in heart failure, contributing to cardiac remodeling.
- β2-adrenoceptor-Gs signaling enhances cardiomyocyte contractility without cardiotoxicity.
- Combination therapy demonstrated superior therapeutic effects in animal models compared to traditional treatments.
Conclusions:
- Dysregulated beta-adrenoceptor signaling, particularly Gi-biased β2-adrenoceptor signaling, plays a critical role in heart failure pathophysiology.
- Targeting biased signaling offers a promising therapeutic avenue for heart failure.
- A combination therapy approach shows potential for normalizing beta-adrenoceptor signaling and improving heart function.
Abstract:
The body is constantly faced with a dynamic requirement for blood flow. The heart is able to respond to these changing needs by adjusting cardiac output based on cues emitted by circulating catecholamine levels. Cardiac β-adrenoceptors transduce the signal produced by catecholamine stimulation via Gs proteins to their downstream effectors to increase heart contractility. During heart failure, cardiac output is insufficient to meet the needs of the body; catecholamine levels are high and β-adrenoceptors become hyperstimulated. The hyperstimulated β1-adrenoceptors induce a cardiotoxic effect, which could be counteracted by the cardioprotective effect of β2-adrenoceptor-mediated Gi signalling. However, β2-adrenoceptor-Gi signalling negates the stimulatory effect of the Gs signalling on cardiomyocyte contraction and further exacerbates cardiodepression. Here, further to the localization of β1- and β2-adrenoceptors and β2-adrenoceptor-mediated β-arrestin signalling in cardiomyocytes, we discuss features of the dysregulation of β-adrenoceptor subtype signalling in the failing heart, and conclude that Gi-biased β2-adrenoceptor signalling is a pathogenic pathway in heart failure that plays a crucial role in cardiac remodelling. In contrast, β2-adrenoceptor-Gs signalling increases cardiomyocyte contractility without causing cardiotoxicity. Finally, we discuss a novel therapeutic approach for heart failure using a Gs-biased β2-adrenoceptor agonist and a β1-adrenoceptor antagonist in combination. This combination treatment normalizes the β-adrenoceptor subtype signalling in the failing heart and produces therapeutic effects that outperform traditional heart failure therapies in animal models. The present review illustrates how the concept of biased signalling can be applied to increase our understanding of the pathophysiology of diseases and in the development of novel therapies.
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