Evidence map›Paper›PMID 27629808›Full record

ReviewChemical research in toxicology2016

Computational Metabolomics: A Framework for the Million Metabolome.

Karan Uppal, Douglas I Walker, Ken Liu, Shuzhao Li, Young-Mi Go, Dean P Jones

Abstract readReview
In one paragraph

Review in Chemical research in toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.

0numbers the graph read from it
0cells of the map it votes in
159citing 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

159 citing papers in PubMed.

  1. Trial
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  6. Changes in Metabolites Present in Lung-Lining Fluid Following Exposure of Humans to Ozone.Toxicological sciences : an official journal of the Society of Toxicology · 2018
    Trial
  7. Trial
  8. Assessing the metabolomics "dark matter" by a detectable khipu model.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

99 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

6 authors.

Karan UppalClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.
Douglas I WalkerClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.
Ken LiuClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.
Shuzhao LiClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.
Young-Mi GoClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.
Dean P JonesClinical Biomarkers Laboratory, Department of Medicine, Emory University , Atlanta, Georgia 30322, United States.

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 JONES, DEAN PAUL · 2008 to 2019
$17.9M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
National Exposure Assessment Laboratory at EmoryU2CES026560 · NIEHS · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2015 to 2015
$8.3M
Graduate Training in the Pharmacological StudiesT32GM008602 · NIGMS · EMORY UNIVERSITY · PI HALL, RANDY A. · 1996 to 2021
$5.1M
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
Mitochondria Environmental Stress Signaling NetworksR21ES025632 · NIEHS · EMORY UNIVERSITY · PI GO KANG, YOUNG-MI, JONES, DEAN PAUL · 2015 to 2017
$576k
NHLBI NIH HHS P01 HL086773NHLBI NIH HHS P20 HL113451NIAID NIH HHS HHSN272201200031CNIA NIH HHS R01 AG038746NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES023485NIEHS NIH HHS R21 ES025632NIEHS NIH HHS T32 ES012870NIEHS NIH HHS U2C ES026560NIGMS NIH HHS T32 GM008602NIH HHS S10 OD018006
6 · The paper itself

Abstract

"Sola dosis facit venenum." These words of Paracelsus, "the dose makes the poison", can lead to a cavalier attitude concerning potential toxicities of the vast array of low abundance environmental chemicals to which humans are exposed. Exposome research teaches that 80-85% of human disease is linked to environmental exposures. The human exposome is estimated to include >400,000 environmental chemicals, most of which are uncharacterized with regard to human health. In fact, mass spectrometry measures >200,000 m/z features (ions) in microliter volumes derived from human samples; most are unidentified. This crystallizes a grand challenge for chemical research in toxicology: to develop reliable and affordable analytical methods to understand health impacts of the extensive human chemical experience. To this end, there appears to be no choice but to abandon the limitations of measuring one chemical at a time. The present review looks at progress in computational metabolomics to provide probability-based annotation linking ions to known chemicals and serve as a foundation for unambiguous designation of unidentified ions for toxicologic study. We review methods to characterize ions in terms of accurate mass m/z, chromatographic retention time, correlation of adduct, isotopic and fragment forms, association with metabolic pathways and measurement of collision-induced dissociation products, collision cross section, and chirality. Such information can support a largely unambiguous system for documenting unidentified ions in environmental surveillance and human biomonitoring. Assembly of this data would provide a resource to characterize and understand health risks of the array of low-abundance chemicals to which humans are exposed.

Indexed as

Computational BiologyMetabolomicsCluster AnalysisEnvironmental ExposureEnvironmental MonitoringHumans

Identifiers

PMID27629808
PMCPMC5376098

What OpenQuestion holds

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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.