Evidence map›Paper›PMID 33828161›Full record

ArticleScientific reports2021

Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites.

Vincent Bessonneau, Roy R Gerona, Jessica Trowbridge, Rachel Grashow, Thomas Lin, Heather Buren, Rachel Morello-Frosch, Ruthann A Rudel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. The role of total polysaccharides fromFrontiers in pharmacology · 2025
    Article
  5. Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.Journal of occupational medicine and toxicology (London, England) · 2024
    Review
  6. Observational
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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 at 5 institutions in 2 countries.

Vincent BessonneauSilent Spring Institute, 320 Nevada Street, Newton, MA, 02460, USA.
Roy R GeronaClinical Toxicology and Environmental Biomonitoring Lab, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Jessica TrowbridgeSchool of Public Health, University of California, 130 Mulford, Hall #3144, Berkeley, CA, 94720, USA.
Rachel GrashowDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Thomas LinClinical Toxicology and Environmental Biomonitoring Lab, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Heather BurenUnited Fire Service Women, San Francisco, CA, USA.
Rachel Morello-FroschSchool of Public Health, University of California, 130 Mulford, Hall #3144, Berkeley, CA, 94720, USA. rmf@berkeley.edu.
Ruthann A RudelSilent Spring Institute, 320 Nevada Street, Newton, MA, 02460, USA. rudel@silentspring.org.
Silent Spring Institute · USUniversity of California, Berkeley · USUniversity of California, San Francisco · USHarvard University · USUnited Fire Service Women · US

Funding

Transdisciplinary Approach to Rapidly Identify Reproductive Toxics in Pregnant Women and NewbornsR01ES027051 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Dimitri Abrahamsson, Tracey J. Woodruff · 2016 to 2026
$6.6M
NIEHS NIH HHS R01 ES027051
6 · The paper itself

Abstract

Given the complex exposures from both exogenous and endogenous sources that an individual experiences during life, exposome-wide association studies that interrogate levels of small molecules in biospecimens have been proposed for discovering causes of chronic diseases. We conducted a study to explore associations between environmental chemicals and endogenous molecules using Gaussian graphical models (GGMs) of non-targeted metabolomics data measured in a cohort of California women firefighters and office workers. GGMs revealed many exposure-metabolite associations, including that exposures to mono-hydroxyisononyl phthalate, ethyl paraben and 4-ethylbenzoic acid were associated with metabolites involved in steroid hormone biosynthesis, and perfluoroalkyl substances were linked to bile acids-hormones that regulate cholesterol and glucose metabolism-and inflammatory signaling molecules. Some hypotheses generated from these findings were confirmed by analysis of data from the National Health and Nutrition Examination Survey. Taken together, our findings demonstrate a novel approach to discovering associations between chemical exposures and biological processes of potential relevance for disease causation.

Indexed as

Administrative PersonnelAdultComputational BiologyEnvironmental ExposureEnvironmental MonitoringExposomeFemaleFirefightersHumansMetabolomeMetabolomicsMiddle AgedNormal DistributionSerum

Identifiers

PMID33828161
PMCPMC8027000
OpenAlexW3143080718

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.