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Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale
Published on: May 28, 2021
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Optimizing photopollution assessment: Insights from a reconstructed human epidermis model
Maria da Graça Landim Bravo1, Isadora de Jesus da Silva1, Nayara Fernanda Tokashike de Araújo1
1University of São Paulo, School of Pharmaceutical Sciences of Ribeirão Preto, Department of Pharmaceutical Sciences, Ribeirão Preto, Brazil.
International Journal of Pharmaceutics
|December 15, 2025
Summary
The Reconstructed Human Epidermis model effectively simulates combined UVA and particulate matter exposure, revealing synergistic oxidative stress and inflammation in skin. This in vitro model aids in evaluating skin-environment interactions and antioxidant efficacy.
Area of Science:
- Dermatology and toxicology
- In vitro skin models
- Environmental exposure studies
Background:
- Reconstructed Human Epidermis (RHE) models provide ethical, in vitro alternatives for cosmetic safety testing.
- RHE models are crucial for studying skin responses to stressors like UV radiation and air pollution.
- Oxidative stress and inflammation are key responses to environmental skin stressors.
Purpose of the Study:
- To optimize a photopollution model using SkinEthic™ RHE for evaluating oxidative stress biomarkers.
- To assess antioxidant protection under combined UVA and airborne particulate matter (PM) exposure.
- To investigate the synergistic effects of PM2.5 and UVA on RHE models.
Main Methods:
- RHE models were exposed to nebulized PM2.5 followed by UVA radiation.
- Reactive oxygen species (ROS) were quantified using the DCFH2-DA probe.
- Gene expression (NRF2, IL-18) and cytokine secretion (IL-18) were assessed at 4h and 24h post-exposure.
Main Results:
- Combined PM2.5 and UVA exposure induced a synergistic 95% increase in intracellular ROS.
- UVA exposure alone caused a 45% rise in ROS; PM2.5 alone did not significantly increase ROS.
- Co-exposure significantly upregulated NRF2 and IL-18 gene expression and induced IL-18 secretion, with IL-18 being the most responsive inflammatory marker.
Conclusions:
- The developed RHE exposure model effectively simulates photopollution-induced oxidative stress.
- The model demonstrates predictive capacity for evaluating oxidative stress biomarkers and inflammatory responses.
- This RHE model supports further research into skin-environment interactions and potential protective strategies.

