33576 How lifestyle-based environmental exposures impact skin health through microbiome

Abstract

Precise skin care receives increasing attention to provide targeted solutions and communication for consumers with different lifestyles and unique skin needs. However, systematic research on their relationships is limited. Here we aim to create a knowledge network through systematically analyzing the correlations of environmental exposure (UV, pollution, temperature, humidity), skin conditions and microbiome. In an 8-week clinical trial, healthy women with dry skin used a portable device (AirRadio) to track personal real-life environment (temperature, humidity, air pollutants), and daily recorded lifestyle-based environment exposures. Skin microbiome was collected and quantified based on 16S sequencing, and skin signs were measured by non-invasive instruments and dermatologist grading. Subjects were clustered into C1-C4 based on their distinct skin conditions of acne, tone, texture. Environmental exposure variables and microbiome characteristics of each cluster were identified and correlated with skin conditions. Bayesian network was then applied to construct regulatory networks, which were validated by literature scraping using data collected from publications. 3682 relationships across 5 domains were identified, and 499 relationships were validated, which reveals skin microbiome mediated lifestyle-based environmental aggressors’ impact on skin health. For example, subjects with dull, rough, and acne-free skin (C3) expose more sunshine and automobile exhaust, whereas subjects with dull, rough, and acne skin (C4) have the highest kitchen fumes exposure. The microbiome in C3 consisted of Polycyclic Aromatic Hydrocarbon degraders which may contribute to less acne. This knowledge network can provide novel insights into the next-generation skin care development to consumers with different lifestyle exposures and skin conditions.