Organ-on-a-chip toxicology

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Authors: Sheng Yang, Tianyi Zhang, Yiling Ge, Yiru Niu, Meng Chen, Lihong Yin, Yuepu Pu, Zaozao Chen, Zhongze Gu, Geyu Liang
Cited by: 7
References: 122

Abstract

Traditional toxicology, with its reliance on animal models and oversimplified cell cultures, often fails to predict human responses due to interspecies differences and limited physiological relevance. Organ-on-a-chip (OoC) technology, as a microengineering breakthrough, enables reconstruction of human-relevant organ functions, providing a powerful tool for toxicity testing. However, OoC remains largely regarded as a technological platform rather than a distinct research discipline. In this review, we propose organ-on-a-chip toxicology (OCT) as a groundbreaking interdisciplinary paradigm that integrates advanced engineering, toxicological science, and biomedical research to redefine toxicological assessment. OCT transcends conventional OoC technology by providing a unified framework for elucidating toxicity effects and mechanisms at molecular, cellular, and organ levels. It uniquely enables comprehensive systemic toxicity modeling, incorporating full absorption-distribution-metabolism-excretion pathways and inter-organ signaling. Leveraging cutting-edge bioengineering, organoid-driven cellular fidelity, and AI-enhanced data analytics, OCT delivers unparalleled precision in drug safety evaluation, personalized toxicology, environmental hazard assessment, and food health. Despite current challenges in standardization, scalability, and regulatory acceptance, OCT holds the potential to revolutionize toxicological science by offering predictive, ethical, and human-centric insights, minimizing animal testing while advancing global health risk assessments.

Fields of Study & Subjects

3D Printing in Biomedical Research Neuroscience and Neural Engineering Microfluidic and Bio-sensing Technologies

Publication details

Journal / source
The Innovation
Publisher
Elsevier BV
Volume
7
Issue
6
Pages
101252–101252
Publication date
5 January 2026
Language
EN