Рет қаралды 40
RESEARCH ARTICLE
Open Access
Culture dependent and independent approaches reveal the role of specific bacteria in human skin aging
Jing-jing Xia, Qian Zhong, Zhi-ming Li, Qing-zhen Wei, Liu-yi-qi Jiang, Cheng Duan, Hui-jue Jia, Yi-mei Tan, Lian-yi Han, Jean Krutmann, Jiucun Wang, Xiao Liu
First published: 10 September 2024 doi.org/10.100...
Jing-jing Xia, Qian Zhong, Zhi-ming Li, and Qing-zhen Wei contributed equally.
Abstract
Skin aging is a dynamic process involving a spectrum of phenotypic changes, making it an attractive model for studying microbiome-phenotype interactions. Therefore, 822 facial microbial samples and 14 skin phenotypes from corresponding areas were assessed in a Chinese cohort. Porphyrins and the chronological age exhibited the most significant microbial variability. We further profiled the dynamics of the skin microbiome associated with age and aging phenotypes. Using a multiple linear regression model, we predicted premature/delayed aging-related microbial species, mainly Moraxella osloensis and Cutibacterium acnes. We also validated the biological functions of the host-microbe interactions in vitro. Moraxella osloensis isolated from healthy skin regulates collagen metabolism and extracellular matrix assembly, and promotes cell senescence in human keratinocytes and fibroblasts, making it potentially applicable in the development of antiaging interventions.
Highlights
Age-and aging phenotype-related skin microbiome dynamics were profiled using a shotgun metagenomic sequencing data set.
Moraxella osloensis and Cutibacterium acnes were predicted to be premature/delayed aging-related microbial species using machine learning modeling.
Moraxella osloensis isolated from healthy skin regulates collagen metabolism and extracellular matrix assembly in vitro.
Age had a relatively minor influence on the variation in the fungal community compared to that in the bacterial community. Age-related fungal taxa were analyzed in this study.