Evidence map›Paper›PMID 42148045›Full record

ArticleEmerging contaminants2026

Exposomics as a discovery engine for emerging contaminants and hidden biological risks.

Oluwatobi Kolawole, Atallah Elzein, Tim Marczylo

Abstract read
In one paragraph

Article in Emerging contaminants, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Oluwatobi KolawoleWageningen University & Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, the Netherlands.
Atallah ElzeinToxicology Department, Radiation, Chemicals, Climate and Environmental Hazards Directorate, UK Health Security Agency, Chilton, OX11 0RQ, United Kingdom.
Tim MarczyloToxicology Department, Radiation, Chemicals, Climate and Environmental Hazards Directorate, UK Health Security Agency, Chilton, OX11 0RQ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, exposome science has evolved from a conceptual framework into a practical discovery engine for environmental health. By combining high-resolution mass spectrometry, non-targeted analysis, multi-omics integration, wearable sensors, and computational tools, exposomics can capture the complexity of real-world chemical mixtures and uncover exposures missed by conventional monitoring. We conducted a scoping review following PRISMA-ScR guidelines to map how exposomic approaches have been applied to the detection and characterisation of under-regulated or previously unknown contaminants. Searches of four bibliographic databases and targeted grey literature (2015-2025) yielded 67 eligible studies, of which 42 were charted quantitatively. The evidence was heavily concentrated in high-income countries and focused on pesticides, PFAS, and heavy metals, with metabolic, developmental, and epigenetic outcomes most frequently reported. Across this landscape, 17 priority compounds emerged where exposomics revealed either new detections or novel biological effects, including halobenzoquinones, GenX, bisphenol S, microplastics, tungsten, and 3-hydroxyoctanedioic acid. These case exemplars illustrate how exposomics can expand hazard characterisation and provide early warning of risks that are invisible to targeted surveillance. At the same time, critical gaps persist, particularly in geographic coverage, longitudinal cohorts, data infrastructures, and mixture analysis tools. Scaling exposomics through harmonised biomonitoring systems and embedding it within One Health frameworks will be essential to accelerate discovery and to translate emerging evidence into more proactive and equitable chemical risk governance.

Indexed as

Emerging contaminantsEnvironmental healthExposomeHealth risk assessmentMixture toxicityRegulatory frameworks

Identifiers

PMID42148045
PMCPMC13175957

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.