Targeted cellular depletion in an immune-liver-on-a-chip platform elucidates cell-type-specific heterogeneity in drug-induced hepatotoxicity
Drug-induced hepatotoxicity remains a critical challenge in pharmacological safety evaluation; however, the lack of analytical tools to distinguish cell-type-specific hepatotoxic responses hinders mechanistic understanding of toxicity pathways. Herein, we provide proof-of-principle for using an immunocompetent liver-on-a-chip platform that integrates six distinct cell models with a targeted cell depletion strategy to rapidly assess pharmaceutical candidates' hepatotoxic profiles. The platform recapitulated immune cell migration dynamics and stress-responsive behaviors under chemokine induction, while integrated fluidic characterization ensured physiologically relevant microenvironmental control. We applied the targeted depletion strategy to resolve cell population-specific contributions to hepatotoxic outcomes using four mechanistically diverse compounds: acetaminophen, ethinyl estradiol, sulfamethoxazole, and abacavir. Our findings reveal coordinated participation of multiple hepatic cell populations in toxicological processes and identify dominant hepatotoxicity-inducing factors. The immune-dependent toxicity resolution was further validated using a known immune-mediated drug-induced liver injury drug, allopurinol. Overall, this study establishes a targeted cell depletion strategy integrated within an immunocompetent liver-on-a-chip platform, enabling rapid identification of hepatotoxic determinants, and represents a significant advancement in predictive toxicology systems, while providing strategic insights for subsequent pathway analysis.
Authors
- Jiu Deng (ORCID: https://orcid.org/0000-0003-1802-3123)
- Peng Zhang (ORCID: https://orcid.org/0000-0001-6325-4313)
- Juan Chen (ORCID: https://orcid.org/0000-0001-6920-7972)
- Shuai Yuan (ORCID: https://orcid.org/0000-0003-2710-286X)
- Shangwen Yang
- Xiaofeng Mu (ORCID: https://orcid.org/0000-0003-0780-0812)
- Chengjun Wu (ORCID: https://orcid.org/0000-0001-9940-2605)
Institutions
- Qingdao University (CN)
- Politecnico di Torino (IT)
- Affiliated Hospital of Qingdao University (CN)
- Qingdao Municipal Hospital (CN)
Publication Details
- Journal
- Communications Biology
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1038/s42003-025-08928-6
- Citations
- 2
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province