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Skin aging-related microbial types separated by Cutibacterium and α-diversity.
Leem, Sangseob; Keum, Hye Lim; Song, Hae Jung; Gu, Ki-Nam; Kim, Yunkwan; Seo, Jung Yeon; Shin, Joong-Gon; Lee, Seo-Gyeong; Lee, Seon Mi; Sul, Woo Jun; Kang, Nae Gyu.
Afiliação
  • Leem S; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Keum HL; Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea.
  • Song HJ; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Gu KN; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Kim Y; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Seo JY; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Shin JG; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Lee SG; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
  • Lee SM; Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea.
  • Sul WJ; Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea.
  • Kang NG; Research & Innovation Center, LG Household & Health Care (LG H&H), Seoul, South Korea.
J Cosmet Dermatol ; 23(3): 1066-1074, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37990779
ABSTRACT

BACKGROUND:

Studies on the skin microbiome have been conducted to uncover the relationship between skin microbes and the host. However, most of these studies have primarily focused on analyzing individual microbial compositions, which has resulted in a limited understanding of the overall relationship.

METHODS:

We analyzed the facial skin characteristics and microbial profiles of 100 healthy Korean female volunteers using the V1-V2 region of the 16S ribosomal RNA gene.

RESULTS:

The two most prominent features of the facial skin microbiome, the proportion of Cutibacterium and α-diversity, were associated with most of the skin characteristics. Based on clustering results, we proposed four types of facial skin microbiome type C for Cutibacterium, type B for balanced, type CB for those between types C and B, and type O for others. Type C, which has a high proportion of Cutibacterium, showed high levels of pigmentation, wrinkles, pores, and sagging pores, indicating a tendency for severe skin aging. Type B, which has no dominant species and high microbial diversity, had lower values for pigmentation and wrinkles indicating less severe skin aging. Type CB was an intermediate type between type C and type B in terms of microbial composition and the level of skin aging. Type O dominated by microorganisms other than Cutibacterium, had high levels of sebum and pores but low levels of wrinkles.

CONCLUSION:

We proposed a criterion for classifying facial skin microbial types, each of which showed distinct facial skin aging features. Our simplified microbial types will contribute to a better understanding of facial skin microbial studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento da Pele / Microbiota Limite: Female / Humans Idioma: En Revista: J Cosmet Dermatol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento da Pele / Microbiota Limite: Female / Humans Idioma: En Revista: J Cosmet Dermatol Ano de publicação: 2024 Tipo de documento: Article