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Joint Analysis of Metabolite Markers of Fish Intake and Persistent Organic Pollutants in Relation to Type 2 Diabetes Risk in Swedish Adults
Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden..
Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden..
Umeå University, Faculty of Medicine, Department of Biobank Research. Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Sustainable Health.ORCID iD: 0000-0003-1227-6859
Umeå University, Faculty of Medicine, Department of Odontology.ORCID iD: 0000-0002-9227-8434
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2019 (English)In: Journal of Nutrition, ISSN 0022-3166, E-ISSN 1541-6100, Vol. 149, no 8, p. 1413-1423Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: There is conflicting evidence regarding the association between fish intake and type 2 diabetes (T2D) incidence, possibly owing to measurement errors in self-reported intake and coexposure to persistent organic pollutants (POPs) present in fish.

OBJECTIVE: The aim of this study was to identify plasma metabolites associated with fish intake and to assess their association with T2D risk, independently of POPs, in Swedish adults.

METHODS: In a case-control study nested in the Swedish Västerbotten Intervention Programme, fasting plasma samples from 421 matched T2D case-control pairs of men and women aged 30-60 y at baseline and 10-y follow-up samples from a subset of 149 pairs were analyzed using untargeted metabolomics. Moreover, 16 plasma POPs were analyzed for the 149 pairs who had repeated samples available. Fish-related plasma metabolites were identified using multivariate modelling and partial correlation analysis. Reproducibility of metabolites and metabolite patterns, derived via principal component analysis (PCA), was assessed by intraclass correlation. A unique component of metabolites unrelated to POPs was dissected by integrating metabolites and POPs using 2-way orthogonal partial least squares regression. ORs of T2D were estimated using conditional logistic regression.

RESULTS: We identified 31 metabolites associated with fish intake that had poor to good reproducibility. A PCA-derived metabolite pattern strongly correlated with fish intake (ρ = 0.37, P < 0.001) but showed no association with T2D risk. Integrating fish-related metabolites and POPs led to a unique metabolite component independent of POPs, which tended to be inversely associated with T2D risk (OR: 0.75; 95% CI: 0.54, 1.02, P = 0.07). This component mainly consisted of metabolites reflecting fatty fish intake.

CONCLUSIONS: Our results suggest that fatty fish intake may be beneficial for T2D prevention, after removing the counteractive effects of coexposure to POPs in Swedish adults. Integrating metabolite markers and POP exposures appears a promising approach to advance the understanding of associations between fish intake and T2D incidence.

Place, publisher, year, edition, pages
2019. Vol. 149, no 8, p. 1413-1423
Keywords [en]
O2PLS modeling, fish biomarkers, metabolomics, nested case-control study, persistent organic pollutants, type 2 diabetes
National Category
Nutrition and Dietetics
Identifiers
URN: urn:nbn:se:umu:diva-162531DOI: 10.1093/jn/nxz068PubMedID: 31209490OAI: oai:DiVA.org:umu-162531DiVA, id: diva2:1344664
Available from: 2019-08-21 Created: 2019-08-21 Last updated: 2019-08-23Bibliographically approved

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Bergdahl, IngvarJohansson, IngegerdRolandsson, Olov

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Department of Biobank ResearchSection of Sustainable HealthDepartment of OdontologyDepartment of Public Health and Clinical Medicine
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