SRA

Human health is heavily dependent upon environmental exposures, yet the diversity and variation in human environmental exposures is poorly understood. We developed a novel approach to monitor personal airborne biological and chemical exposures (collectively referred to as the exposome) longitudinally with high sensitivity by integrating a wearable device and multiple-omics approaches. By following personal exposomes of 15 individuals for up to 890 days and over 66 distinct geographical locations, we demonstrated that individuals are exposed to over 1000 species across diverse phyla and hundreds of chemical compounds, including insecticides and carcinogens. In aggregate, over 2500 species were identified with great intraspecies diversity. We found that personal biological and chemical exposomes are highly dynamic and vary greatly with geographical locations and seasons, even for individuals located in the same general geographical region. We were able to construct a season-predictive model based on the pan-domain genera profile. Numerous fungi-, plant-, insect-based allergens were detected that vary by season. Integrated analysis of biological and chemical exposomes revealed strong location-dependent relationships. Importantly, we built an exposome interaction cloud and demonstrated the presence of interconnected human- and environment-centric exposomes, depicting extensive inter-species relationships derived from various interacting ecosystems such as human, flora, pets and arthropods. Overall, we describe a method to capture and analyze personal environmental exposures and demonstrate that human exposomes are diverse, dynamic, and spatiotemporally-driven interconnected clouds that have the potential to greatly impact human health.