Precision environmental health monitoring by longitudinal exposome and multi-omics profiling

Abstract

Conventional environmental health studies primarily focused on limited environmental stressors at the population level, which lacks the power to dissect the complexity and heterogeneity of individualized environmental exposures. Here we integrated deep-profiled longitudinal personal exposome and internal multi-omics to systematically investigate how the exposome shapes an individuals phenome. We annotated thousands of chemical and biological components in the personal exposome cloud and found they were significantly correlated with thousands of internal biomolecules, which was further cross validated using corresponding clinical data. In particular, our results showed that agrochemicals (e.g., carcinogenic pesticides, fungicides, and herbicides) and fungi predominated in the highly diverse and dynamic personal exposome, and the biomolecules and pathways related to the individuals immune system, kidneys, and liver were highly correlated with the personal external exposome. Overall, our findings demonstrate dynamic interactions between the personal exposome and internal multi-omics and provide important insights into the impact of the environmental exposome on precision health.