Evidence map›Paper›PMID 34435882›Full record

ArticleEnvironmental health perspectives2021

Utilizing a Biology-Driven Approach to Map the Exposome in Health and Disease: An Essential Investment to Drive the Next Generation of Environmental Discovery.

Ming Kei Chung, Stephen M Rappaport, Craig E Wheelock, Vy Kim Nguyen, Thomas P van der Meer, Gary W Miller, Roel Vermeulen, Chirag J Patel

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

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  10. Integrating exposomics into biomedicine.Science (New York, N.Y.) · 2025
    Article
  11. Review
  12. Article
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  20. The Concept of One Health for Allergic Diseases and Asthma.Allergy, asthma & immunology research · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 3 countries.

Ming Kei ChungDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Stephen M RappaportProgram in Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
Craig E WheelockDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.
Vy Kim NguyenDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Thomas P van der MeerDepartment of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Gary W MillerDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.
Roel VermeulenUtrecht University & Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Harvard University · USColumbia University · USKarolinska Institutet · SEUniversity Medical Center Groningen · NLUniversity of California, Berkeley · USUniversity of Michigan · USUtrecht University · NL

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
Epidemiological Integration of Genetic Variants and Metabolomics Profiles in Washington Heights Columbia Aging ProjectRF1AG066107 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, MILLER, GARY W · 2020 to 2022
$11.4M
Dissecting the pathogenesis and outcomes of PSC using multi-omics by studying the exposome and genomeRC2DK118619 · NIDDK · MAYO CLINIC ROCHESTER · PI LAZARIDIS, KONSTANTINOS N · 2018 to 2022
$7.8M
Vesicular Modulation of Dopamine Neuron ToxicityR01ES023839 · NIEHS · EMORY UNIVERSITY · PI MILLER, GARY W · 2015 to 2025
$5.0M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
Project 3 - Prenatal Exposures, Constitutive Genetics, DNA Methylation & Childhood LeukemiaP50ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2015 to 2019
$3.8M
Project 3: Prenatal Exposure, DNA Methylation & Childhood LeukemiaP01ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2009 to 2013
$3.7M
Training Program in BioinformaticsT32GM070449 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID, BURMEISTER, MARGIT · 2005 to 2020
$3.6M
U2C Experimental CoreU2CES030163 · NIEHS · EMORY UNIVERSITY · PI JONES, DEAN PAUL, LI, SHUZHAO · 2018 to 2021
$3.6M
Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan AfricaR01AI127250 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN, PATEL, CHIRAG J. · 2017 to 2020
$2.7M
An environment-wide association study in autism spectrum disorders using novel bioinformatics methods and metabolomics via mass spectrometryR01MH107205 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI KONG, SEK WON · 2015 to 2019
$2.1M
NIAID NIH HHS R01 AI127250NIA NIH HHS RF1 AG066107NIDDK NIH HHS RC2 DK118619NIEHS NIH HHS P01 ES018172NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P50 ES018172NIEHS NIH HHS R01 ES023839NIEHS NIH HHS R01 ES028802NIEHS NIH HHS U2C ES030163NIGMS NIH HHS T32 GM070449NIMH NIH HHS R01 MH107205
6 · The paper itself

Abstract

backgroundRecent developments in technologies have offered opportunities to measure the exposome with unprecedented accuracy and scale. However, because most investigations have targeted only a few exposures at a time, it is hypothesized that the majority of the environmental determinants of chronic diseases remain unknown.

objectivesWe describe a functional exposome concept and explain how it can leverage existing bioassays and high-resolution mass spectrometry for exploratory study. We discuss how such an approach can address well-known barriers to interpret exposures and present a vision of next-generation exposomics. DISCUSSION: The exposome is vast. Instead of trying to capture all exposures, we can reduce the complexity by measuring the functional exposome-the totality of the biologically active exposures relevant to disease development-through coupling biochemical receptor-binding assays with affinity purification-mass spectrometry. We claim the idea of capturing exposures with functional biomolecules opens new opportunities to solve critical problems in exposomics, including low-dose detection, unknown annotations, and complex mixtures of exposures. Although novel, biology-based measurement can make use of the existing data processing and bioinformatics pipelines. The functional exposome concept also complements conventional targeted and untargeted approaches for understanding exposure-disease relationships.

conclusionsAlthough measurement technology has advanced, critical technological, analytical, and inferential barriers impede the detection of many environmental exposures relevant to chronic-disease etiology. Through biology-driven exposomics, it is possible to simultaneously scale up discovery of these causal environmental factors. https://doi.org/10.1289/EHP8327.

Indexed as

ExposomeEnvironmental ExposureEnvironmental HealthHumansMass Spectrometry

Identifiers

PMID34435882
PMCPMC8388254
OpenAlexW3194239209

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.