Evidence map›Paper›PMID 39407251›Full record

ReviewJournal of occupational medicine and toxicology (London, England)2024

Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.

Carlos Ochoa-Leite, Sara Rodrigues, Ana Sofia Ramos, Flávio Ribeiro, João Barbosa, Carmen Jerónimo, Paula Guedes de Pinho, Ricardo Jorge Dinis-Oliveira, José Torres Costa

Abstract readReview
In one paragraph

Review in Journal of occupational medicine and toxicology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

9 authors.

Carlos Ochoa-LeiteFaculty of Engineering, University of Porto, Porto, 4200-465, Portugal. carlos.ochoa.leite@ipoporto.min-saude.pt.
Sara RodriguesFaculty of Engineering, University of Porto, Porto, 4200-465, Portugal.
Ana Sofia RamosOccupational Medicine Office, Portuguese Oncology Institute of Porto (IPO Porto), Porto, 4200-072, Portugal.
Flávio RibeiroOccupational Medicine Office, Portuguese Oncology Institute of Porto (IPO Porto), Porto, 4200-072, Portugal.
João BarbosaOccupational Medicine Office, Portuguese Oncology Institute of Porto (IPO Porto), Porto, 4200-072, Portugal.
Carmen JerónimoDepartment of Pathology & Molecular Immunology, ICBAS-School of Medicine & Biomedical Sciences, University of Porto, Porto, 4050-313, Portugal.
Paula Guedes de PinhoAssociate Laboratory i4HB - Institute for Health and Bioeconomy, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, 4050-313, Portugal.
Ricardo Jorge Dinis-OliveiraAssociate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, Gandra, 4585-116, Portugal. ricardo.dinis@iucs.cespu.pt.
José Torres CostaFaculty of Engineering, University of Porto, Porto, 4200-465, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational biomonitoring is essential for assessing health risks linked to workplace exposures. The use of 'omics' technologies, such as metabolomics and proteomics, has become crucial in detecting subtle biological alterations induced by occupational hazards, thereby opening novel avenues for biomarker discovery.

aimsThis systematic review aims to evaluate the application of metabolomics and proteomics in occupational health.

methodsFollowing the PRISMA guidelines, we conducted a comprehensive search on PubMed, Scopus, and Web of Science for original human studies that use metabolomics or proteomics to assess occupational exposure biomarkers. The risk of bias was assessed by adapting the Cochrane Collaboration tool and the Newcastle-Ottawa Quality Assessment Scale.

resultsOf 2311 initially identified articles, 85 met the eligibility criteria. These studies were mainly conducted in China, Europe, and the United States of America, covering a wide range of occupational exposures. The findings revealed that metabolomics and proteomics approaches effectively identified biomarkers related to chemical, physical, biomechanical, and psychosocial hazards. Analytical methods varied, with mass spectrometry-based techniques emerging as the most prevalent. The risk of bias was generally low to moderate, with specific concerns about exposure measurement and confounding factors.

conclusionsIntegrating metabolomics and proteomics in occupational health biomonitoring significantly advances our understanding of exposure effects and facilitates the development of personalized preventive interventions. However, challenges remain regarding the complexity of data analysis, biomarker specificity, and the translation of findings into preventive measures. Future research should focus on longitudinal studies and biomarker validation across diverse populations to improve the reliability and applicability of occupational health interventions.

Indexed as

BiomonitoringMetabolomicsOccupational MedicineProteomics

Identifiers

PMID39407251
PMCPMC11479568

What OpenQuestion holds

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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.