Evidence map›Paper›PMID 26475350›Full record

ArticleEnvironmental and molecular mutagenesis2015

Using exposomics to assess cumulative risks and promote health.

Martyn T Smith, Rosemarie de la Rosa, Sarah I Daniels

Abstract read
In one paragraph

Article in Environmental and molecular mutagenesis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. The Chemical Exposome of Human Aging.Frontiers in genetics · 2020
    Review
  17. Article
  18. Article
  19. From systems biology to P4 medicine: applications in respiratory medicine.European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  20. Article
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.

Martyn T SmithSuperfund Research Program, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, 94720-7360.
Rosemarie de la RosaSuperfund Research Program, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, 94720-7360.
Sarah I DanielsSuperfund Research Program, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, 94720-7360.

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

Under the exposome paradigm all nongenetic factors contributing to disease are considered to be 'environmental' including chemicals, drugs, infectious agents, and psychosocial stress. We can consider these collectively as environmental stressors. Exposomics is the comprehensive analysis of exposure to all environmental stressors and should yield a more thorough understanding of chronic disease development. We can operationalize exposomics by studying all the small molecules in the body and their influence on biological pathways that lead to impaired health. Here, we describe methods by which this may be achieved and discuss the application of exposomics to cumulative risk assessment in vulnerable populations. Since the goal of cumulative risk assessment is to analyze, characterize, and quantify the combined risks to health from exposures to multiple agents or stressors, it seems that exposomics is perfectly poised to advance this important area of environmental health science. We should therefore support development of tools for exposomic analysis and begin to engage impacted communities in participatory exposome research. A first step may be to apply exposomics to vulnerable populations already studied by more conventional cumulative risk approaches. We further propose that recent migrants, low socioeconomic groups with high environmental chemical exposures, and pregnant women should be high priority populations for study by exposomics. Moreover, exposomics allows us to study interactions between chronic stress and environmental chemicals that disrupt stress response pathways (i.e., 'stressogens'). Exploring the impact of early life exposures and maternal stress may be an interesting and accessible topic for investigation by exposomics using biobanked samples.

Indexed as

Environmental ExposureFemaleHumansInfectionsMetagenomicsPregnancyPublic HealthRisk AssessmentToxicogeneticsToxicologybiomarkersearly life exposureexposomerisk assessmentstress

Identifiers

PMID26475350
PMCPMC4636923

What OpenQuestion holds

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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.