ArticleFrontiers in pharmacology2025
Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women.
Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Clinical trials in a dish: cardiometabolic drug development with biological and digital twins.The Journal of clinical investigation · 2026Review
- PBPK Models for Fetal Drug Exposure: A Critical Assessment of Current Approaches and Regulatory Readiness.Journal of clinical pharmacology · 2026Review
- From Adaptive Resilience to Catastrophic Systems Collapse: Endothelial Entropy, Ferroptotic Propagation, and the Maternal Point of No Return in Emergency Peripartum Hysterectomy.International journal of molecular sciences · 2026Review
- Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation.Biosensors · 2026Review
- Novel emerging cell and organoid systems for the study of drug metabolism and toxicity in humans.Drug metabolism and disposition: the biological fate of chemicals · 2025Review
- Advances in Cytotoxicity Testing: From In Vitro Assays to In Silico Models.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
14 authors.
Funding
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Abstract
Background: Pregnant women represent a vulnerable group in pharmaceutical research due to limited knowledge about drug metabolism and safety of commonly used corticosteroids like prednisone due to ethical and practical constraints. Current preclinical models, including animal studies, fail to accurately replicate human pregnancy conditions, resulting in gaps in drug safety and pharmacokinetics predictions. To address this issue, we used a three-organ microphysiological system (MPS) combined with a digital twin framework, to predict pharmacokinetics and fetal drug exposure. Methods: The here shown human MPS integrated gut, liver, and placenta models, interconnected via the corresponding vasculature. Using prednisone as a model compound, we simulate oral drug administration and track its metabolism and transplacental transfer. To translate the generated data from MPS to human physiology, computational modelling techniques were developed. Results: Our results demonstrate that the system maintains cellular integrity and accurately mimics Conclusion: This approach may provide a potential non-animal alternative that could contribute to our understanding of drug behavior during pregnancy and may support early-stage drug safety assessment for vulnerable populations.
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