Disease modeling and phenotypic drug screening for diabetic cardiomyopathy using human induced pluripotent stem cells

Cell Rep. 2014 Nov 6;9(3):810-21. doi: 10.1016/j.celrep.2014.09.055. Epub 2014 Oct 30.

Abstract

Diabetic cardiomyopathy is a complication of type 2 diabetes, with known contributions of lifestyle and genetics. We develop environmentally and genetically driven in vitro models of the condition using human-induced-pluripotent-stem-cell-derived cardiomyocytes. First, we mimic diabetic clinical chemistry to induce a phenotypic surrogate of diabetic cardiomyopathy, observing structural and functional disarray. Next, we consider genetic effects by deriving cardiomyocytes from two diabetic patients with variable disease progression. The cardiomyopathic phenotype is recapitulated in the patient-specific cells basally, with a severity dependent on their original clinical status. These models are incorporated into successive levels of a screening platform, identifying drugs that preserve cardiomyocyte phenotype in vitro during diabetic stress. In this work, we present a patient-specific induced pluripotent stem cell (iPSC) model of a complex metabolic condition, showing the power of this technique for discovery and testing of therapeutic strategies for a disease with ever-increasing clinical significance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Differentiation / drug effects
  • Diabetic Cardiomyopathies / pathology*
  • Drug Evaluation, Preclinical*
  • Humans
  • Hypertrophy
  • Induced Pluripotent Stem Cells / cytology*
  • Induced Pluripotent Stem Cells / drug effects
  • Lipid Metabolism / drug effects
  • Lipid Peroxidation / drug effects
  • Models, Biological*
  • Myocytes, Cardiac / drug effects
  • Myocytes, Cardiac / pathology
  • Phenotype
  • Sarcomeres / drug effects
  • Sarcomeres / pathology
  • Small Molecule Libraries / analysis
  • Small Molecule Libraries / chemistry
  • Small Molecule Libraries / pharmacology

Substances

  • Small Molecule Libraries

Associated data

  • GEO/GSE62203