Control of cytokinesis by β-adrenergic receptors indicates an approach for regulating cardiomyocyte endowment.
Honghai LiuCheng-Hai ZhangNiyatie AmmanamanchiSangita SureshChristopher LewarchikKrithika RaoGerrida M UysLu HanMaryline AbrialDean YimlamaiBalakrishnan GanapathyChristelle GuillermierNathalie ChenMugdha KhaladkarJennifer SpaethlingJames H EberwineJunhyong KimStuart WalshSangita ChoudhuryKathryn LittleKimberly FrancisMahesh SharmaMelita ViegasAbha S BaisDennis KostkaJun DingZiv Bar-JosephYijen L WuVijay K YechoorMousumi MoulikJennifer JohnsonJacqueline G WeinbergMiguel Reyes-MugicaMatthew L SteinhauserBernhard KühnPublished in: Science translational medicine (2020)
One million patients with congenital heart disease (CHD) live in the United States. They have a lifelong risk of developing heart failure. Current concepts do not sufficiently address mechanisms of heart failure development specifically for these patients. Here, analysis of heart tissue from an infant with tetralogy of Fallot with pulmonary stenosis (ToF/PS) labeled with isotope-tagged thymidine demonstrated that cardiomyocyte cytokinesis failure is increased in this common form of CHD. We used single-cell transcriptional profiling to discover that the underlying mechanism of cytokinesis failure is repression of the cytokinesis gene ECT2, downstream of β-adrenergic receptors (β-ARs). Inactivation of the β-AR genes and administration of the β-blocker propranolol increased cardiomyocyte division in neonatal mice, which increased the number of cardiomyocytes (endowment) and conferred benefit after myocardial infarction in adults. Propranolol enabled the division of ToF/PS cardiomyocytes in vitro. These results suggest that β-blockers could be evaluated for increasing cardiomyocyte division in patients with ToF/PS and other types of CHD.
Keyphrases
- heart failure
- mass spectrometry
- single cell
- end stage renal disease
- angiotensin ii
- ms ms
- ejection fraction
- newly diagnosed
- prognostic factors
- left ventricular
- transcription factor
- high throughput
- type diabetes
- dna methylation
- angiotensin converting enzyme
- genome wide identification
- heat stress
- tandem mass spectrometry