Open AccessEvaluation of Personalized Skincare Through in-silico Gene Interactive Networks and Cellular Responses to UVR and Oxidative Stress
Author(s) -
Ewa Markiewicz,
Olusola Idowu
Publication year - 2022
Publication title -
clinical, cosmetic and investigational dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 35
ISSN - 1178-7015
DOI - 10.2147/ccid.s383790
Subject(s) - in silico , oxidative stress , skin aging , biology , gene , single nucleotide polymorphism , snp , phenotype , genetics , computational biology , dna damage , medicine , dna , biochemistry , dermatology , genotype
Personalized approaches in dermatology are designed to match the specific requirements based on the individual genetic makeup. One major factor accounting for the differences in skin phenotypes is single nucleotide polymorphism (SNP) within several genes with diverse roles that extend beyond skin tone and pigmentation. Therefore, the cellular sensitivities to the environmental stress and damage linked to extrinsic aging could also underlie the individual characteristics of the skin and dictate the unique skin care requirements. This study aimed to identify the likely biomarkers and molecular signatures expressed in skin cells of different ethnic backgrounds, which could aid further the design of personalized skin products based on specific demands.