Beyond Family: Modeling Non-hereditary Heart Diseases With Human Pluripotent Stem Cell-Derived Cardiomyocytes

Sebastian Martewicz1, Michael Magnussen2, Nicola Elvassore1,2,3,4

  • 1Shanghai Institute for Advanced Immunochemical Studies (SIAIS), ShanghaiTech University, Shanghai, China.

Insights

Modeling non-genetic heart diseases using human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) is advancing. However, research on these models significantly lags behind genetic heart conditions, despite their prevalence.

Area of Science:

  • Cardiovascular Research
  • Stem Cell Biology
  • Disease Modeling

Background:

  • Non-genetic cardiac pathologies arise from extracellular stress, influenced by intracellular factors and genetics.
  • Modeling conditions like hypertrophy and ischemia in human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) has been challenging due to complex phenotypes.
  • Recent advancements in hPSC-CMs physiology and culture have enabled the creation of stress-responsive models.

Purpose of the Study:

  • To review the literature on hPSC-CM models for non-genetic cardiac conditions.
  • To highlight the underrepresentation of these models compared to monogenic disease models.
  • To emphasize the need for increased research in this area.

Main Methods:

  • Literature review of published articles on hPSC-CMs modeling non-genetic cardiac diseases.
  • Analysis of research trends comparing non-genetic versus monogenic cardiac disease models.
  • Synthesis of current understanding of hPSC-CMs' in vitro physiology and stress responses.

Main Results:

  • Models for non-genetic cardiac conditions using hPSC-CMs are less numerous than those for monogenic diseases.
  • This disparity misrepresents the actual incidence of non-genetic heart disease causes in the human population.
  • Despite challenges, hPSC-CMs are increasingly capable of recapitulating in vivo pathological phenotypes.

Conclusions:

  • hPSC-CMs offer a valuable reductionist model for studying non-genetic cardiac diseases.
  • Further research and publication are needed to balance the representation of cardiac disease models.
  • Addressing this gap is crucial for understanding and treating common heart conditions.