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International Journal of Bioprinting                                3D bioprinting for translational toxicology
















































            Figure 1. Technological evolution and research trends. (A) The exponential growth of PubMed-listed publications on “toxicology testing” and “toxicology
            evaluation” since 2000, reflecting the field’s rapid transition toward engineered models. (B) Key milestones across four epochs: (i) foundational theory
            era (16th–early 20th century): dominated by observational studies and median lethal dose (LD ) standardization, (ii) animal model dominance era (mid-
                                                                        50
            20th century–1970s): emergence of cellular assays and early 3R-driven innovations, (iii) in vitro organ simulation era (1980s–2010s): rise of organoids and
            microphysiological systems, and (iv) technological convergence era (2015–present): integration of bioprinting, artificial intelligence-driven design, and multi-
            omics validation. Created with Biorender [û, NP. (2025). https://BioRender.com/mu9mwhw. Abbreviation: 3Rs, replacement, reduction, and refinement.


            drug metabolism, distribution, and toxicity, improving the   have successfully replicated the spatial alignment of
            reliability and precision of toxicological predictions.    myocardial fibers, offering improved spatial precision for
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                                                               evaluating cardiac toxicity. 66,67  Single-cell transcriptomics
            2.4. The era of technological convergence:         has revealed the diverse responses of pulmonary
            The emergence of precision and systems toxicology  epithelial cell subpopulations to NP exposure, such as
            Contemporary toxicological research is characterized   the upregulation of inflammation-specific factors in
            by the convergence of multiple advanced technologies,   basal cells.  Meanwhile, machine learning algorithms
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            prompting  a  paradigm  shift  from  organ-specific   have integrated high-throughput in vitro data—including
            evaluations to comprehensive system-level biological   reactive oxygen species (ROS) generation and cell cycle
            analyses. 3D bioprinting techniques, employing     arrest—to forecast organ-level toxicity in vivo. 69,70
            extrusion-based processes and sacrificial materials
            such as Pluronic F127, have facilitated the development   In 2022, the United States Food and  Drug
            of vascular networks, extending the viability of liver   Administration released the “Strategic Roadmap for
            models to over 30 days while maintaining fluctuations   Alternative Methods,” integrating organ-on-a-chip data as
            in drug-metabolizing enzyme activity within 15%. 63–65    part of the evaluation framework for investigational new
            Photocuring technologies, with a resolution of 5 μm,   drug applications. Despite these advancements, challenges


            Volume 11 Issue 4 (2025)                       103                            doi: 10.36922/IJB025210209
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