Evidence map›Paper›PMID 36668767›Full record

ReviewToxics2022

Partitioning of Persistent Organic Pollutants between Adipose Tissue and Serum in Human Studies.

Meg-Anne Moriceau, German Cano-Sancho, MinJi Kim, Xavier Coumoul, Claude Emond, Juan-Pedro Arrebola, Jean-Philippe Antignac, Karine Audouze, Christophe Rousselle

Abstract readReview
In one paragraph

Review in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Breast Cancer Exposomics.Life (Basel, Switzerland) · 2024
    Review
  7. Article
  8. Review
  9. Review
  10. 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

9 authors.

Meg-Anne MoriceauOniris, INRAE, LABERCA, 44300 Nantes, France.
German Cano-SanchoOniris, INRAE, LABERCA, 44300 Nantes, France.
MinJi KimINSERM UMR-S 1124, Université Paris Sorbonne Nord, 93017 Bobigny, France.ORCID 0000-0002-1403-9331
Xavier CoumoulINSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France.ORCID 0000-0003-2928-9648
Claude EmondSchool of Public Health, Department of Environmental and Occupational Health, University of Montreal, Montreal, QC H3C 3J7, Canada.
Juan-Pedro ArrebolaDepartment of Preventive Medicine and Public Health, Universidad de Granada, Campus de Cartuja s/n, 18071 Granada, Spain.
Jean-Philippe AntignacOniris, INRAE, LABERCA, 44300 Nantes, France.ORCID 0000-0001-9512-9314
Karine AudouzeINSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France.
Christophe RousselleANSES, European and International Affairs Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France.ORCID 0000-0003-0460-6192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood is the most widely used matrix for biomonitoring of persistent organic pollutants (POPs). It is assumed that POPs are homogenously distributed within body lipids at steady state; however, the variability underlying the partitioning of POPs between fat compartments is poorly understood. Hence, the objective of this study was to review the state of the science about the relationships of POPs between adipose tissue and serum in humans. We conducted a narrative literature review of human observational studies reporting concentrations of POPs in paired samples of adipose tissue with other lipid-based compartments (e.g., serum lipids). The searches were conducted in SCOPUS and PUBMED. A meta-regression was performed to identify factors responsible for variability. All included studies reported high variability in the partition coefficients of POPs, mainly between adipose tissue and serum. The number of halogen atoms was the physicochemical variable most strongly and positively associated with the partition ratios, whereas body mass index was the main biological factor positively and significantly associated. To conclude, although this study provides a better understanding of partitioning of POPs to refine physiologically based pharmacokinetic and epidemiological models, further research is still needed to determine other key factors involved in the partitioning of POPs.

Indexed as

adipose tissuebiomonitoringmeta-regressionpartition coefficientspersistent organic pollutants

Identifiers

PMID36668767
PMCPMC9866963

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.