Joint Analysis of Metabolite Markers of Fish Intake and Persistent Organic Pollutants in Relation to Type 2 Diabetes Risk in Swedish Adults
Journal article, 2019
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.
persistent organic pollutants
nested case-control study
type 2 diabetes
O2PLS modeling
metabolomics
fish biomarkers
Author
Lin Shi
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Carl Brunius
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Ingvar A. Bergdahl
Umeå University
Ingegerd Johansson
Umeå University
Olov Rolandsson
Umeå University
Carolina Donat Vargas
Karolinska Institutet
Hannu Kiviranta
National Institute for Health and Welfare
K. Hanhineva
University of Eastern Finland
Agneta Åkesson
Karolinska Institutet
Rikard Landberg
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Journal of Nutrition
0022-3166 (ISSN) 1541-6100 (eISSN)
Vol. 149 8 1413-1423Subject Categories
Environmental Health and Occupational Health
Public Health, Global Health, Social Medicine and Epidemiology
Nutrition and Dietetics
DOI
10.1093/jn/nxz068
PubMed
31209490