Cited by 256Pluripotent Stem Cells ResearchCongenital heart defects researchMesenchymal stem cell research

Disease Modeling and Phenotypic Drug Screening for Diabetic Cardiomyopathy using Human Induced Pluripotent Stem Cells

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Drawnel, Faye M., Boccardo, Stefano, Prummer, Michael, Delobel, Frédéric, Graff, Alexandra, Weber, Michael, Gérard, Régine, Badi, Laura +18 more·2014·Cell Reports

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.

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Crossref · 10.1016/j.celrep.2014.09.055

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  • AI models can simulate the biological effects of potential drug compounds on patients with diabetes, predicting efficacy and side effects before clinical trials.

    “AI models can simulate the biological effects of potential drug compounds on patients with diabetes, predicting efficacy and side effects before clinical trials (60).”

    From Generative artificial intelligence in predictive analysis of diabetes and its complications: a narrative review (2025) · cites this paper as [60]

    The High-Content Phenotypic Screening section reports testing compounds on diabetic cardiomyopathy cell models and measuring improvements in disease-related parameters. The Discussion describes these as patient-specific, iPSC-derived cardiomyocyte models, not AI models, and says testing the assay’s predictive power in vivo remains a future goal. The paper does not establish predictions of efficacy or side effects in patients before clinical trials. (LLM, conf=0.88)

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Authors
Drawnel, F. M., Boccardo, S., Prummer, M., Delobel, F., Graff, A., Weber, M., Gérard, R., Badi, L., Kam-Thong, T., Bu, L., Jiang, X., Hoflack, J.-C., Kiialainen, A., Jeworutzki, E., Aoyama, N., Carlson, C., Burcin, M., Gromo, G., Boehringer, M., Stahlberg, H., Hall, B. J., Magnone, M. C., Kolaja, K., Chien, K. R., Bailly, J., & Iacone, R.
Affiliations
  • F. Hoffmann-La Roche AG (CH)
  • University of Basel (CH)
  • Massachusetts General Hospital (US)
  • Cellular Dynamics International (United States) (US)
  • Harvard University (US)
Corresponding author
Iacone, Roberto
Venue
Cell Reports
Publisher
Elsevier BV
Published
2014-11
Volume
9
Issue
3
Pages
810-820
ISSN
2211-1247 (ISSN-L)
OpenAlex
W2116314385
Cited by
247
References
25
Citations by year
2026: 11 · 2025: 18 · 2024: 14 · 2023: 18 · 2022: 18 · 2021: 28 · 2020: 22 · 2019: 22 · 2018: 27 · 2017: 25 · 2016: 27 · 2015: 17
FWCI
9.44
Type
journal article
Language
en
Open access
Locations
  • Cell Reports (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Congenital heart defects research
  • Health Sciences › Medicine › Genetics › Mesenchymal stem cell research
Keywords
diabetic cardiomyopathy, type 2 diabetes, human induced pluripotent stem cells, iPSC-derived cardiomyocytes, disease modeling, phenotypic screening, patient-specific disease models, cardiomyocyte dysfunction, disease severity
MeSH terms
Cell Differentiation, Drug Evaluation, Preclinical, Humans, Hypertrophy, Models, Biological, Phenotype, Sarcomeres, Lipid Peroxidation, Myocytes, Cardiac, Lipid Metabolism, Small Molecule Libraries, Induced Pluripotent Stem Cells, Diabetic Cardiomyopathies

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