Evidence map›Paper›PMID 28743678›Full record

ArticleEnvironmental health perspectives2017

The Saliva Exposome for Monitoring of Individuals' Health Trajectories.

Vincent Bessonneau, Janusz Pawliszyn, Stephen M Rappaport

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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  7. Salivary Metabolic Pathway Alterations in Brazilian E-Cigarette Users.International journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022
    Review
  15. Article
  16. Article
  17. ACS environmental Au · 2022
    Review
  18. Article
  19. Article
  20. Review
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

3 authors at 2 institutions in 2 countries.

Vincent BessonneauDepartment of Chemistry, University of Waterloo , Waterloo, Ontario, Canada.
Janusz PawliszynDepartment of Chemistry, University of Waterloo , Waterloo, Ontario, Canada.
Stephen M RappaportCenter for Exposure Biology, School of Public Health, University of California, Berkeley , Berkeley, California, USA.
University of Waterloo · CAUniversity of California, Berkeley · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Using Adductomics to Characterize Exposures to CarcinogensR33CA191159 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RAPPAPORT, STEPHEN MORRIS · 2015 to 2017
$1.1M
NCI NIH HHS R33 CA191159NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

backgroundThere is increasing evidence that environmental, rather than genetic, factors are the major causes of most chronic diseases. By measuring entire classes of chemicals in archived biospecimens, exposome-wide association studies (EWAS) are being conducted to investigate associations between a myriad of exposures received during life and chronic diseases.

objectivesBecause the intraindividual variability in biomarker levels, arising from changes in environmental exposures from conception onwards, leads to attenuation of exposure-disease associations, we posit that saliva can be collected repeatedly in longitudinal studies to reduce exposure-measurement errors in EWAS.

methodsFrom the literature and an open-source saliva-metabolome database, we obtained concentrations of 1,233 chemicals that had been detected in saliva. We connected salivary metabolites with human metabolic pathways and PubMed Medical Subject Heading (MeSH) terms, and performed pathway enrichment and pathway topology analyses.

resultsOne hundred ninety-six salivary metabolites were mapped into 49 metabolic pathways and connected with human metabolic diseases, central nervous system diseases, and neoplasms. We found that the saliva exposome represents at least 14 metabolic pathways, including amino acid metabolism, TCA cycle, gluconeogenesis, glutathione metabolism, pantothenate and CoA biosynthesis, and butanoate metabolism.

conclusionsSaliva contains molecular information worthy of interrogation via EWAS. The simplicity of specimen collection suggests that saliva offers a practical alternative to blood for measurements that can be used to characterize individual exposomes. https://doi.org/10.1289/EHP1011.

Indexed as

Chronic DiseaseEnvironmental ExposureMetabolic Networks and PathwaysMetabolomeEnvironmental HealthEnvironmental MonitoringHumansSaliva

Identifiers

PMID28743678
PMCPMC5801473
OpenAlexW2736565862

What OpenQuestion holds

Textmetadata
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.