Evidence map›Paper›PMID 35667843›Full record

ArticleGenome research2022

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

Peng Gao, Xiaotao Shen, Xinyue Zhang, Chao Jiang, Sai Zhang, Xin Zhou, Sophia Miryam Schüssler-Fiorenza Rose, Michael Snyder

Abstract read
In one paragraph

Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Identifying environmental chemicals impacting neurodevelopment using a random mixture-based screening approach.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peng Gao *Department of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.ORCID 0000-0002-4311-584X
Xiaotao Shen *Department of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.
Xinyue ZhangDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.
Chao JiangLife Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Sai ZhangDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.
Xin ZhouDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.
Sophia Miryam Schüssler-Fiorenza RoseDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.
Michael SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94304, USA.ORCID 0000-0003-0784-7987

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI ZOU, JAMES · 2018 to 2025
$4.9M
Integrating the Exposome into Longitudinal Multiomics ProfilingK08ES028825 · NIEHS · STANFORD UNIVERSITY · PI ROSE, SOPHIA MIRYAM SCHÜSSLER-FIORENZA · 2018 to 2022
$1.0M
Computational appliance: a supercomputer for modern biomedical researchS10OD023452 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2017 to 2017
$600k
NIA NIH HHS P30 AG059307NIEHS NIH HHS K08 ES028825NIH HHS S10 OD023452
6 · The paper itself

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 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.

Indexed as

ExposomeEnvironmental ExposureEnvironmental HealthEnvironmental MonitoringHumans

Identifiers

PMID35667843
PMCPMC9248886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.