Evaluation of Personalized Skincare Through In-Silico Gene Interactive Networks and Cellular Responses to UVR and Oxidative Stress

The study evaluated personalized skincare by examining gene interactions and cellular responses to UV radiation (UVR) and oxidative stress across different ethnic skin types, identifying 37 biomarkers affected by SNPs. It found that Asian fibroblasts were most sensitive to UVR, European fibroblasts produced the most ROS under oxidative stress, and African fibroblasts accumulated DNA damage in pro-oxidant environments. Resveratrol and Quercetin treatments had varying protective effects, with Asian fibroblasts benefiting the most. The study suggested that integrating SNP sampling with AI and in-vitro assays could enhance personalized skincare solutions, emphasizing the importance of understanding genetic variations and phenotypic traits related to skin ethnicity for developing effective skincare products.