New Insights Into the Skin Microbial Communities and Skin Aging

Frontiers in Microbiology
Zichao LiDahai Hu

Abstract

Although it is well-known that human skin aging is accompanied by an alteration in the skin microbiota, we know little about how the composition of these changes during the course of aging and the effects of age-related skin microbes on aging. Using 16S ribosomal DNA and internal transcribed spacer ribosomal DNA sequencing to profile the microbiomes of 160 skin samples from two anatomical sites, the cheek and the abdomen, on 80 individuals of varying ages, we developed age-related microbiota profiles for both intrinsic skin aging and photoaging to provide an improved understanding of the age-dependent variation in skin microbial composition. According to the landscape, the microbial composition in the Children group was significantly different from that in the other age groups. Further correlation analysis with clinical parameters and functional prediction in each group revealed that high enrichment of nine microbial communities (i.e., Cyanobacteria, Staphylococcus, Cutibacterium, Lactobacillus, Corynebacterium, Streptococcus, Neisseria, Candida, and Malassezia) and 18 pathways (such as biosynthesis of antibiotics) potentially affected skin aging, implying that skin microbiomes may perform key functions in skin aging by regulat...Continue Reading

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Citations

Mar 16, 2021·Biogerontology·Sophia Letsiou
Aug 14, 2021·Experimental Dermatology·Harri AleniusStephan Weidinger

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Datasets Mentioned

BETA
PRJNA630834
PRJNA630117

Methods Mentioned

BETA
PCR
Illumina sequencing

Software Mentioned

R
LEfSe
Mothur
UCHIME
Tax4FUN
UCLUST
ANOSIM
Circlize
VISIA Complexion Analysis System
ABI 7500 Real - Time PCR

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