Levels of omega 3 fatty acids, vitamin D, dioxins and dioxin-like PCBs in oily fish; a new perspective on the reporting of nutrient and contaminant data for risk-benefit assessments of oily seafood.


Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
02 2021
Historique:
received: 29 07 2020
revised: 30 11 2020
accepted: 02 12 2020
pubmed: 22 12 2020
medline: 24 4 2021
entrez: 21 12 2020
Statut: ppublish

Résumé

Oily seafood is an important food source which contains several key nutrients beneficial for human health. On the other hand, oily seafood also contains persistent organic pollutants (POPs), including the dioxin-like compounds (DLCs) polychlorinated dibenzo-p-dioxins/polychlorinated dibenzofurans (PCDD/Fs) and dioxin-like-polychlorinated biphenyls (dl-PCBs), potentially detrimental to human health. For a comprehensive comparison of the beneficial and potentially adverse health effects of seafood consumption, risk-benefit analyses are necessary. Risk-benefit analyses require reliable quantitative data and sound knowledge of uncertainties and potential biases. Our dataset comprised more than 4000 analyses of DLCs and more than 1000 analyses each of docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and vitamin D in the three most important Norwegian commercial oily seafood species: Atlantic herring (Clupea harengus), Atlantic mackerel (Scomber scombrus) and farmed Atlantic salmon (Salmo salar). The levels of several DLC congeners were below the limit of quantification (LOQ), making estimation of true levels challenging. We demonstrate that the use of upper bound substitution of censored data will overestimate, while lower bound substitution will underestimate the actual levels of DLCs. Therefore, we implement an alternative robust statistical method by combining Maximum Likelihood Estimation, Regression on Order Statistics and Kaplan-Meier analyses, which is better suited for providing estimations of levels of these contaminants in seafood. Moreover, we illustrate the impact of the toxic equivalency factor (TEF) system on estimation of the sums of DLCs by comparing the TEF system to an alternative system of relative effect potency (REP) factors (Consensus Toxicity Factors). The levels of nutrients and contaminants were related to adequate intake (AI) and tolerable weekly intake (TWI), respectively. We used AI and the TWI values established by the European Food Safety Authority (EFSA). The benefit and the risk were further viewed in the context of the Norwegian average intake of oily fish, and the Norwegian governmental official dietary recommendations of oily fish. Our results showed that both benefit and risk are met at the levels found of nutrients and DLCs in oily seafood. The comprehensive quantitative data presented here will be a key for future risk-benefit assessment of oily fish consumption. Together, our results underline that a refined formalized integrative risk-benefit assessment of oily fish in the diet is warranted, and that the data and methodology presented in this study are highly relevant for future integrated and multidisciplinary assessment of both risks and benefits of seafood consumption for human health.

Identifiants

pubmed: 33348102
pii: S0160-4120(20)32277-7
doi: 10.1016/j.envint.2020.106322
pii:
doi:

Substances chimiques

Dibenzofurans 0
Dioxins 0
Fatty Acids, Omega-3 0
Polychlorinated Dibenzodioxins 0
Vitamin D 1406-16-2
Polychlorinated Biphenyls DFC2HB4I0K

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106322

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

O J Nøstbakken (OJ)

Institute of Marine Research, Bergen, Norway. Electronic address: olejakob.nostbakken@hi.no.

J D Rasinger (JD)

Institute of Marine Research, Bergen, Norway.

R Hannisdal (R)

Institute of Marine Research, Bergen, Norway.

M Sanden (M)

Institute of Marine Research, Bergen, Norway.

L Frøyland (L)

Institute of Marine Research, Bergen, Norway.

A Duinker (A)

Institute of Marine Research, Bergen, Norway.

S Frantzen (S)

Institute of Marine Research, Bergen, Norway.

L M Dahl (LM)

Institute of Marine Research, Bergen, Norway.

A-K Lundebye (AK)

Institute of Marine Research, Bergen, Norway.

L Madsen (L)

Institute of Marine Research, Bergen, Norway; Department of Biology, University of Copenhagen, Denmark.

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Classifications MeSH