Evidence map›Paper›PMID 33569731›Full record

ReviewCurrent environmental health reports2021

Use of Exposomic Methods Incorporating Sensors in Environmental Epidemiology.

Brett T Doherty, Jeremy P Koelmel, Elizabeth Z Lin, Megan E Romano, Krystal J Godri Pollitt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current environmental health reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Addressing systemic problems with exposure assessments to protect the public's health.Environmental health : a global access science source · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Applying the exposome concept to working life health: The EU EPHOR project.Environmental epidemiology (Philadelphia, Pa.) · 2022
    Article
  17. Article
  18. Article
  19. Review
  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

5 authors.

Brett T DohertyDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA.
Jeremy P KoelmelDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 510, New Haven, CT, 06510, USA.
Elizabeth Z LinDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 510, New Haven, CT, 06510, USA.
Megan E RomanoDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA.
Krystal J Godri PollittDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 510, New Haven, CT, 06510, USA. krystal.pollitt@yale.edu.ORCID 0000-0001-7332-2228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe exposome is a recently coined concept that comprises the totality of nongenetic factors that affect human health. It is recognized as a major conceptual advancement in environmental epidemiology, and there is increased demand for technologies that capture the spatial, temporal, and chemical variability of exposures across individuals (i.e., "exposomic sensors"). We review a selection of these tools, highlighting their strengths and limitations with regard to epidemiological research. RECENT

findingsWearable passive samplers are emerging as promising exposomic sensors for individuals. In conjunction with targeted and untargeted assays, these sensors enable the measurement of complex multipollutant mixtures, which can include both known and previously unknown environmental contaminants. Because of their minimally burdensome and noninvasive nature, they are deployable among sensitive populations, such as seniors, pregnant women, and children. The integration of exposomic data captured by these sensors with other omic data (e.g., transcriptomic and metabolomic) presents exciting opportunities for investigating disease risk factors. For example, the linkage of exposomic sensor data with other omic data may indicate perturbation by multipollutant mixtures at multiple physiological levels, which would strengthen evidence of their effects and potentially indicate targets for interventions. However, there remain considerable theoretical and methodological challenges that must be overcome to realize the potential promise of omic integration. Through continued investment and improvement in exposomic sensor technologies, it may be possible to refine their application and reduce their outstanding limitations to advance the fields of exposure science and epidemiology.

Indexed as

Environmental ExposureEnvironmental HealthChildFemaleHumansPregnancyContaminantsEnvironmental healthExposomeExposure assessmentWearable sensorsWristbands

Identifiers

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.