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

Abstract

Conventional environmental health studies have 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, as a pilot case study, we integrated deep-profiled longitudinal personal exposome and internal multi-omics to systematically investigate how the exposome shapes a single individual’s 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. Our results showed that agrochemicals and fungi predominated in the highly diverse and dynamic personal exposome, and the biomolecules and pathways related to the individual’s immune system, kidney, and liver were highly …

Publication
Genome Research
Peng GAO
Peng GAO
Assistant Professor
Xiaotao SHEN
Xiaotao SHEN
Nanyang Assistant Professor

Metabolomics, Multi-omics, Bioinformatics, Systems Biology.

Xin-Yue ZHANG
Xin-Yue ZHANG
Master Student (2025)

Artificial Intelligence, Machine learning , Bioinformatics.

Chao Jiang
Chao Jiang
Professor
Sai ZHANG
Sai ZHANG
Assistant Professor
Xin ZHOU
Xin ZHOU
Professor
Michael SNYDER
Michael SNYDER
Professor