PEER-REVIEWED PUBLICATION

2026

Bioprinting of a human neuron model for quantifying pollutant toxicity

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Yao E, Chen S, Lu G, Sun C, Nguyen QT

International Journal of Bioprinting

University of California – San Diego

RESEARCH SUMMARY
This study developed a 3D bioprinted human neural progenitor cell model for studying the neurotoxicity of environmental pollutants in a mechanically tunable human-relevant tissue environment. Human iPSC-derived neural progenitor cells were encapsulated at high density in gelatin methacrylate bioink and patterned into brain-shaped scaffolds using an in-house digital light processing bioprinter. By changing DLP light exposure, the authors created mechanically distinct soft and stiff GelMA constructs with Young’s moduli of approximately 2 and 4 kPa, respectively. The mechanically tuned models were then exposed to the organophosphate pesticide chlorpyrifos and its metabolite chlorpyrifos-oxon. Increasing chlorpyrifos concentration reduced cell viability, and prolonged 5-day exposure caused greater toxicity than 3-day exposure. Matrix stiffness also influenced the response to toxic injury: the stiffer constructs generally showed greater viability after chlorpyrifos exposure, while the soft and stiff models exhibited different transcriptional responses. Stiff constructs showed greater PAX6 and Nestin expression, whereas softer constructs showed greater SOX2 expression and stronger trends in Alzheimer’s disease-associated markers. Chlorpyrifos-oxon produced a distinct response characterized by approximately 20-fold Nestin upregulation, increased beta-amyloid-associated expression, and significant AChE downregulation despite causing less overall viability loss than the parent chlorpyrifos compound. To demonstrate broader toxicology-screening utility, the authors also exposed the model to benzo[a]pyrene. Stiffer constructs again showed better short-term viability, while benzo[a]pyrene exposure increased SOX2 and reduced AChE expression. Overall, the study shows that DLP bioprinting can generate neural tissue models with controlled mechanical stiffness and that matrix mechanics can influence cellular susceptibility and transcriptional responses to environmental neurotoxins, providing a scalable platform for human-relevant toxicology studies.
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CELLSCALE INSTRUMENT USED

MicroTester

A CellScale MicroTester was used to quantify the compressive Young’s modulus of the DLP-bioprinted GelMA neural tissue constructs. The samples consisted of high-density human neural progenitor cells encapsulated in GelMA scaffolds fabricated using two different DLP exposure conditions to create mechanically distinct soft and stiff tissue models. Soft constructs were printed using 136 mJ/cm² exposure for 20 seconds, while stiff constructs were printed using 324 mJ/cm² exposure for 30 seconds. For mechanical characterization, each scaffold underwent three compression cycles using a 0.3048 mm diameter stainless steel MicroTester beam and platens. Force and displacement data collected by the MicroTester were processed using custom MATLAB scripts to calculate the overall compressive modulus. The measurements confirmed that the printing conditions generated two mechanically distinct neural microenvironments, with the soft scaffolds measuring approximately 2 kPa and the stiff scaffolds approximately 4 kPa in Young’s modulus. These MicroTester-derived stiffness values were central to the experimental design because the authors subsequently compared pollutant-induced cell viability and gene-expression responses between the soft and stiff constructs. The mechanically stiffer neural models generally maintained greater viability following chlorpyrifos and benzo[a]pyrene exposure, while the two stiffness conditions produced different expression patterns in neural progenitor and Alzheimer’s disease-associated markers. The MicroTester therefore provided the quantitative mechanical validation needed to establish matrix stiffness as an experimental variable in the 3D bioprinted neurotoxicity platform.
AUTHORS

Emmie Yao, Steven Chen, Grace Lu, Changyu Sun, Quyen T. Nguyen.

PUBLICATION DETAILS
JOURNAL

International Journal of Bioprinting

YEAR

2026

INSTITUTIONS

University of California – San Diego

COUNTRIES

United States

INSTRUMENT USED

MicroTester

TESTING METHODS

Compression TestingMicro-Mechanical Testing

RESEARCH APPLICATIONS

3D Bioprinting & Bioink Materials TestingHydrogel Mechanical TestingNeural Tissue & CNS MechanicsOrganoid and Tissue Mimetic Systems

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