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.