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Precision environmental health monitoring by longitudinal exposome and multi-omics profiling
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 longitudi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248886/ https://www.ncbi.nlm.nih.gov/pubmed/35667843 http://dx.doi.org/10.1101/gr.276521.121 |
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author | Gao, Peng Shen, Xiaotao Zhang, Xinyue Jiang, Chao Zhang, Sai Zhou, Xin Schüssler-Fiorenza Rose, Sophia Miryam Snyder, Michael |
author_facet | Gao, Peng Shen, Xiaotao Zhang, Xinyue Jiang, Chao Zhang, Sai Zhou, Xin Schüssler-Fiorenza Rose, Sophia Miryam Snyder, Michael |
author_sort | Gao, Peng |
collection | PubMed |
description | 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 associated with the personal external exposome. Overall, this data-driven longitudinal monitoring study shows the potential dynamic interactions between the personal exposome and internal multi-omics, as well as the impact of the exposome on precision health by producing abundant testable hypotheses. |
format | Online Article Text |
id | pubmed-9248886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92488862022-07-18 Precision environmental health monitoring by longitudinal exposome and multi-omics profiling Gao, Peng Shen, Xiaotao Zhang, Xinyue Jiang, Chao Zhang, Sai Zhou, Xin Schüssler-Fiorenza Rose, Sophia Miryam Snyder, Michael Genome Res Resource 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 associated with the personal external exposome. Overall, this data-driven longitudinal monitoring study shows the potential dynamic interactions between the personal exposome and internal multi-omics, as well as the impact of the exposome on precision health by producing abundant testable hypotheses. Cold Spring Harbor Laboratory Press 2022-06 /pmc/articles/PMC9248886/ /pubmed/35667843 http://dx.doi.org/10.1101/gr.276521.121 Text en © 2022 Gao et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by/4.0/This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Resource Gao, Peng Shen, Xiaotao Zhang, Xinyue Jiang, Chao Zhang, Sai Zhou, Xin Schüssler-Fiorenza Rose, Sophia Miryam Snyder, Michael Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title | Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title_full | Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title_fullStr | Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title_full_unstemmed | Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title_short | Precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
title_sort | precision environmental health monitoring by longitudinal exposome and multi-omics profiling |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248886/ https://www.ncbi.nlm.nih.gov/pubmed/35667843 http://dx.doi.org/10.1101/gr.276521.121 |
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