Evidence map›Paper›PMID 26722641›Full record

ArticleToxicology reports

Sequencing the exposome: A call to action.

Dean P Jones

Open access · goldAbstract read
In one paragraph

Article in Toxicology reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

67 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
  2. Article
  3. Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026
    Review
  4. Will Chemical Exposomics Be Ready for a Human Exposome Project?Environmental science & technology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. High-resolution plasma metabolomics and thiamine status in critically Ill adult patients.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Review

7 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Dean P JonesDepartment of Medicine, Emory University, Atlanta GA 30322 USA.
Emory University · US

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Serious Hazards of Transfusion & Cellular Therapies: Mechanisms and InterventionP01HL086773 · NHLBI · EMORY UNIVERSITY · PI ROBACK, JOHN D · 2008 to 2019
$17.9M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
PROJECT 3: METABOLOMIC BIOMARKERS OF PARKINSON'S DISEASEP01ES016731 · NIEHS · EMORY UNIVERSITY · PI MILLER, GARY W · 2008 to 2012
$6.7M
Metabolomics of subclinical and clinical cardiovascular diseaseP20HL113451 · NHLBI · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2012 to 2016
$4.3M
A metabolomic model of aging in the common marmosetR01AG038746 · NIA · EMORY UNIVERSITY · PI JONES, DEAN PAUL, PROMISLOW, DANIEL EDWARD · 2010 to 2014
$2.5M
Cytoplasmic-nuclear redox signaling: Disruption by dietary cadmium levelsR01ES023485 · NIEHS · EMORY UNIVERSITY · PI GO KANG, YOUNG-MI, JONES, DEAN PAUL · 2014 to 2018
$1.8M
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
NHLBI NIH HHS P01 HL086773NHLBI NIH HHS P20 HL113451NIAID NIH HHS HHSN272201200031CNIA NIH HHS R01 AG038746NIEHS NIH HHS P01 ES016731NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES023485NIEHS NIH HHS T32 ES012870NIH HHS S10 OD018006
6 · The paper itself

Abstract

The exposome is a complement to the genome that includes non-genetic causes of disease. Multiple definitions are available, with salient points being global inclusion of exposures and behaviors, and cumulative integration of associated biologic responses. As such, the concept is both refreshingly simple and dauntingly complex. This article reviews high-resolution metabolomics (HRM) as an affordable approach to routinely analyze samples for a broad spectrum of environmental chemicals and biologic responses. HRM has been successfully used in multiple exposome research paradigms and is suitable to implement in a prototype universal exposure surveillance system. Development of such a structure for systematic monitoring of environmental exposures is an important step toward sequencing the exposome because it builds upon successes of exposure science, naturally connects external exposure to body burden and partitions the exposome into workable components. Practical results would be repositories of quantitative data on chemicals according to geography and biology. This would support new opportunities for environmental health analysis and predictive modeling. Complementary approaches to hasten development of exposome theory and associated biologic response networks could include experimental studies with model systems, analysis of archival samples from longitudinal studies with outcome data and study of relatively short-lived animals, such as household pets (dogs and cats) and non-human primates (common marmoset). International investment and cooperation to sequence the human exposome will advance scientific knowledge and also provide an important foundation to control adverse environmental exposures to sustain healthy living spaces and improve prediction and management of disease.

Indexed as

analytical chemistrybiomonitoringenvironmental surveillanceMass spectrometrymetabolomics

Identifiers

PMID26722641
PMCPMC4692045
OpenAlexW2186889723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.