A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells

Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro models are needed to understand doxorubicin-induced cardiac damage and patient-specific responses. Here, human pluripotent stem cell (hPSC)-derived cardiomyocytes (hPSC-CMs), cardiac fibroblasts (hPSC-cFBs), and endothelial cells (hPSC-ECs) were cultured in mono- or multi-cell-type formats and repeatedly treated with doxorubicin to mimic cumulative clinical exposure. A machine learning-based tool enabled continuous quantification of the early toxicity marker caspase-3/7 and accurately identified hPSC-CMs within mixed cultures. Notably, hPSC-ECs were more sensitive to doxorubicin than hPSC-CMs or hPSC-cFBs, with nitric oxide signaling contributing to the elevated cardiomyocyte toxicity observed in co-culture. These results question the conventional in vitro focus on cardiomyocytes regarding drug-induced cardiac damage, highlighting the interplay among different cardiac cell types in mediating the toxic effects of doxorubicin. Furthermore, the work demonstrates the potential of AI-based tools to provide scalable strategies for assessing drug-induced cardiotoxicity.

Authors

Institutions

Publication Details

Journal
Stem Cell Reports
Published
2026-02-12
DOI
https://doi.org/10.1016/j.stemcr.2026.102816
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells

Paul Keselman, Rickard Sjögren, James Gallant, Valeria V. Orlova et al.
Stem Cell Reports
Chemotherapy-induced cardiotoxicity and mitigation
article

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells

Paul Keselman, Rickard Sjögren, James Gallant, Valeria V. Orlova, Jonas Austerjost, Marcella Brescia, Berend J. van Meer, Kalpana Barnes, Richard P. Davis, C. Mummery, Richard Wales, Mervyn P.H. Mol, Michael W. Olszowy, Karine Raymond, Elsa Sorman Paulsson, Andrea Chatrian
article en

Abstract

Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro models are needed to understand doxorubicin-induced cardiac damage and patient-specific responses. Here, human pluripotent stem cell (hPSC)-derived cardiomyocytes (hPSC-CMs), cardiac fibroblasts (hPSC-cFBs), and endothelial cells (hPSC-ECs) were cultured in mono- or multi-cell-type formats and repeatedly treated with doxorubicin to mimic cumulative clinical exposure. A machine learning-based tool enabled continuous quantification of the early toxicity marker caspase-3/7 and accurately identified hPSC-CMs within mixed cultures. Notably, hPSC-ECs were more sensitive to doxorubicin than hPSC-CMs or hPSC-cFBs, with nitric oxide signaling contributing to the elevated cardiomyocyte toxicity observed in co-culture. These results question the conventional in vitro focus on cardiomyocytes regarding drug-induced cardiac damage, highlighting the interplay among different cardiac cell types in mediating the toxic effects of doxorubicin. Furthermore, the work demonstrates the potential of AI-based tools to provide scalable strategies for assessing drug-induced cardiotoxicity.

Stem Cell ReportsVol. 21(3)
Nippon Steel (Japan) (JP), Inserm (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Leiden University Medical Center (NL), CEA Grenoble (FR), Essen BioScience (United States) (US), Sartorius (Germany) (DE), Technology Partnership (United Kingdom) (GB), Université Grenoble Alpes (FR), Umeå University (SE)
Good health and well-being
Openalex Percentile: Top 60%
Chemotherapy-induced cardiotoxicity and mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.