Functional interaction of H2-receptors and 5HT4-receptors in atrial tissues isolated from double transgenic mice and from human patients.
Joachim NeumannDenise SchwarzerCharlotte FehseRebecca SchwarzMargareta MarusakovaUwe KirchheferBritt HofmannUlrich GergsPublished in: Naunyn-Schmiedeberg's archives of pharmacology (2021)
In the past, we generated transgenic mice that overexpress the human histamine 2 (H2)-receptor (H2-TG) or that overexpress the human serotonin 4 (5-HT4)-receptor (5-HT4-TG) in the heart. Here, we crossbred these lines of mice to generate double transgenic mice that overexpress both receptors (DT). This was done to study a conceivable interaction between these receptors in the mouse heart as a model for the human heart. When in left atria, initially, force of contraction was elevated maximally with 1 µM serotonin, and subsequently, histamine was cumulatively applied; a biphasic effect of histamine was noted: the force of contraction initially decreased, maximally at 10 nM histamine, and thereafter, the force of contraction increased again at 1 µM histamine. Notably, functional interaction between 5-HT and histamine was also identified in isolated electrically stimulated trabeculae carneae from human right atrium (obtained during cardiac surgery). These functional and biochemical data together are consistent with a joint overexpression of inotropically active H2-receptors and 5-HT4-receptors in the same mouse heart. We also describe an antagonistic interaction on the force of contraction of both receptors in the mouse atrium (DT) and in the human atrial muscle strips. We speculate that via this interaction, histamine might act as a "brake" on the cardiac actions of 5-HT via inhibitory GTP-binding proteins acting on the activity of adenylyl cyclase.
Keyphrases
- endothelial cells
- heart failure
- induced pluripotent stem cells
- cardiac surgery
- atrial fibrillation
- pluripotent stem cells
- end stage renal disease
- single molecule
- chronic kidney disease
- left ventricular
- type diabetes
- metabolic syndrome
- skeletal muscle
- machine learning
- inferior vena cava
- adipose tissue
- pulmonary artery
- electronic health record
- insulin resistance