Validation of a predictive method for sunscreen formula evaluation using gene expression analysis in a Chinese reconstructed full‐thickness skin model

Abstract

Objective

The present study aimed to establish a predictive in vitro method for assessing the photoprotective properties of sunscreens using a reconstructed full‐thickness skin model.

Materials And Methods

A full‐thickness skin model reconstructed with human fibroblasts and keratinocytes isolated from Chinese skin was exposed to daily UV radiation (DUVR). We examined the transcriptomic response, identifying genes for which expression was modulated by DUVR in a dose‐dependent manner. We then validated the methodology for efficacy evaluation of different sunscreens formulas.

Results

The reconstructed skin model was histologically consistent with human skin, and upon DUVR exposure, the constituent fibroblasts and keratinocytes exhibited transcriptomic alterations in pathways associated with oxidative stress, inflammation and extracellular matrix remodeling. When used to evaluate sunscreen protection on the model, the observed level of protection from UV‐induced gene expression was consistent with the corresponding protection factors determined clinically and allowed for statistical ranking of sunscreen efficacy.

Conclusions

Within the present study we show that quantification of gene modulation within the reconstructed skin model is a biologically‐relevant approach with sensitivity and predictability to evaluate photoprotection products.

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