Enhancing Maturation and Translatability of Human Pluripotent Stem Cell-Derived Cardiomyocytes through a Novel Medium Containing Acetyl-CoA Carboxylase 2 Inhibitor.
Cláudia CorreiaJonas ChristofferssonSandra TejedorSaïd El-HaouMeztli Matadamas-GuzmanSyam NairPierre DönnesGentian MusaMattias RohmanMonika SundqvistRebecca B RiddleBramasta NugrahaIoritz Sorzabal BellidoMarkus JohanssonQing-Dong WangAlejandro HidalgoKarin JennbackenJane SynnergrenDaniela SpäterPublished in: Cells (2024)
Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) constitute an appealing tool for drug discovery, disease modeling, and cardiotoxicity screening. However, their physiological immaturity, resembling CMs in the late fetal stage, limits their utility. Herein, we have developed a novel, scalable cell culture medium designed to enhance the maturation of hPSC-CMs. This medium facilitates a metabolic shift towards fatty acid utilization and augments mitochondrial function by targeting Acetyl-CoA carboxylase 2 (ACC2) with a specific small molecule inhibitor. Our findings demonstrate that this maturation protocol significantly advances the metabolic, structural, molecular and functional maturity of hPSC-CMs at various stages of differentiation. Furthermore, it enables the creation of cardiac microtissues with superior structural integrity and contractile properties. Notably, hPSC-CMs cultured in this optimized maturation medium display increased accuracy in modeling a hypertrophic cardiac phenotype following acute endothelin-1 induction and show a strong correlation between in vitro and in vivo target engagement in drug screening efforts. This approach holds promise for improving the utility and translatability of hPSC-CMs in cardiac disease modeling and drug discovery.
Keyphrases
- drug discovery
- endothelial cells
- fatty acid
- small molecule
- left ventricular
- high glucose
- randomized controlled trial
- induced pluripotent stem cells
- liver failure
- skeletal muscle
- heart failure
- pluripotent stem cells
- emergency department
- drug induced
- machine learning
- intensive care unit
- respiratory failure
- big data
- electronic health record
- smooth muscle