Leveraging multi-organ models for drug combination therapy safety

In this study, we developed a streamlined in vitro platform to assess the systemic toxicity of multidrug combinations within a clinically relevant timeframe, facilitating its application in personalized medicine. By incorporating cellular models that represent major toxicity-sensitive organs, such as the kidney, liver, and heart, we evaluated two previously optimized multidrug combinations (C2 and REMP). Our findings revealed distinct organ-specific toxicity profiles, with some drug-induced toxicities exacerbated upon combination. To evaluate the influence of model complexity, we compared responses between simple proliferative cell lines and more advanced models. Proliferative cell models, while useful for initial toxicity screenings, frequently failed to predict the severity of drug-induced toxicity. For instance, the C2 combination decreased cell viability by 50 % in patient-derived kidney organoids but only by 20 % in HEK293T cells. However, the C2 combination caused a 77 % viability reduction in differentiated hepatocyte spheroids, 32 % more than its effect on non-differentiated hepatocyte-like cells. C2 showed significant release of lactate dehydrogenase compared to 0.1 % DMSO. These findings underscore the critical need for systemic and biologically relevant drug safety assessments in the development of novel drug combinations, regardless of known single-drug safety. Despite some limitations, the platform accurately reproduced known single-drug toxicity profiles, confirming its translational potential. Overall, this biologically relevant approach enables efficient early-stage toxicity screening of drug combinations, supporting a safer development of personalized cancer therapy.

Authors

Institutions

Publication Details

Journal
Biomedicine & Pharmacotherapy
Published
2025-12-01
DOI
https://doi.org/10.1016/j.biopha.2025.118847
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging multi-organ models for drug combination therapy safety

Filippo Molica, Jakub Gubała, Valentin Mieville, Patrycja Nowak‐Sliwinska et al.
1 citations
Biomedicine & Pharmacotherapy
3D Printing in Biomedical Research
0.67
article

Leveraging multi-organ models for drug combination therapy safety

Filippo Molica, Jakub Gubała, Valentin Mieville, Patrycja Nowak‐Sliwinska, Massimo Valério, Brenda R. Kwak, Daniel Benamran, Seungsu Han, M. Ota, Mireia Andreu-Carbó
article en
1 citations

Abstract

In this study, we developed a streamlined in vitro platform to assess the systemic toxicity of multidrug combinations within a clinically relevant timeframe, facilitating its application in personalized medicine. By incorporating cellular models that represent major toxicity-sensitive organs, such as the kidney, liver, and heart, we evaluated two previously optimized multidrug combinations (C2 and REMP). Our findings revealed distinct organ-specific toxicity profiles, with some drug-induced toxicities exacerbated upon combination. To evaluate the influence of model complexity, we compared responses between simple proliferative cell lines and more advanced models. Proliferative cell models, while useful for initial toxicity screenings, frequently failed to predict the severity of drug-induced toxicity. For instance, the C2 combination decreased cell viability by 50 % in patient-derived kidney organoids but only by 20 % in HEK293T cells. However, the C2 combination caused a 77 % viability reduction in differentiated hepatocyte spheroids, 32 % more than its effect on non-differentiated hepatocyte-like cells. C2 showed significant release of lactate dehydrogenase compared to 0.1 % DMSO. These findings underscore the critical need for systemic and biologically relevant drug safety assessments in the development of novel drug combinations, regardless of known single-drug safety. Despite some limitations, the platform accurately reproduced known single-drug toxicity profiles, confirming its translational potential. Overall, this biologically relevant approach enables efficient early-stage toxicity screening of drug combinations, supporting a safer development of personalized cancer therapy.

Biomedicine & PharmacotherapyVol. 193
University of Geneva (CH), University Hospital of Geneva (CH), Geneva College (US)
Openalex Percentile: Top 24%
3D Printing in Biomedical Research
0.67
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.