Partitioning of Persistent Organic Pollutants between Adipose Tissue and Serum in Human Studies
Metadata
Show full item recordEditorial
MDPI
Materia
Adipose tissue Biomonitoring Meta-regression Partition coefficients Persistent organic pollutants
Date
2022-12-31Referencia bibliográfica
Moriceau, M.-A.; Cano-Sancho, G.; Kim, M.; Coumoul, X.; Emond, C.; Arrebola, J.-P.; Antignac, J.-P.; Audouze, K.; Rousselle, C. Partitioning of Persistent Organic Pollutants between Adipose Tissue and Serum in Human Studies. Toxics 2023, 11, 41. [https://doi.org/10.3390/toxics11010041]
Sponsorship
French National Research Agency (ANR-18-CE34- 0001-01, Creative Project); Ramón y Cajal Program (RYC-2016-20155, Ministerio de Economía, Industria y Competitividad, Spain); Université de Paris; INSERMAbstract
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 POP