LG Household & Health Care Discovers Gene Involved in Skin Pigmentation in Koreans
[Asia Economy Reporter Moon Hyewon] LG Household & Health Care announced on the 22nd that it has discovered seven skin genes involved in pigmentation, a representative skin concern among Korean women.
The results of this research were published in two papers in the Journal of Investigative Dermatology, a world-renowned international journal in the field of dermatology, and four domestic patents and one international patent (PCT) application have been completed.
Existing whitening cosmetics could suppress or reduce melanin pigment production caused by ultraviolet rays, but they could not regulate all melanin pigment production caused by innate human genes. Therefore, even when using the same product, there were differences and limitations in pigmentation improvement efficacy depending on individual skin characteristics.
The research team at LG Household & Health Care’s Future Base Research Institute judged that if the types of individual customer genes related to pigmentation could be identified to overcome the limitations of existing products, they could provide customers with customized cosmetics with excellent whitening effects through the development of effective ingredients that regulate the functions of those genes.
To this end, they secured a ‘skin-gene big data’ consisting of skin characteristics and genetic information of about 50,000 Koreans and conducted a search for pigmentation-related genes. In particular, two of the discovered genes are explained to be ‘the world’s first discovered pigmentation-related genes’ and are highly likely to be genes that act specifically on Korean skin.
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Kang Naekyu, head of the Future Base Research Institute, said, “Based on these research results, we plan to expand the research scope to target representative skin aging factors such as wrinkles and elasticity, and aim to develop total anti-aging solutions tailored to customers’ skin characteristics by accelerating digital research innovation based on large-scale gene data using AI.”
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