PMID- 31209490 OWN - NLM STAT- MEDLINE DCOM- 20200406 LR - 20230216 IS - 1541-6100 (Electronic) IS - 0022-3166 (Linking) VI - 149 IP - 8 DP - 2019 Aug 1 TI - Joint Analysis of Metabolite Markers of Fish Intake and Persistent Organic Pollutants in Relation to Type 2 Diabetes Risk in Swedish Adults. PG - 1413-1423 LID - 10.1093/jn/nxz068 [doi] AB - 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 Vasterbotten 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 (rho = 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. CI - Copyright (c) American Society for Nutrition 2019. FAU - Shi, Lin AU - Shi L AD - Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. FAU - Brunius, Carl AU - Brunius C AD - Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. FAU - Bergdahl, Ingvar A AU - Bergdahl IA AD - Department of Biobank Research. AD - Department of Public Health and Clinical Medicine. FAU - Johansson, Ingegerd AU - Johansson I AD - Department of Odontology, Umea University, Umea, Sweden. FAU - Rolandsson, Olov AU - Rolandsson O AD - Department of Public Health and Clinical Medicine. FAU - Donat Vargas, Carolina AU - Donat Vargas C AD - Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. FAU - Kiviranta, Hannu AU - Kiviranta H AD - Environmental Health Unit, National Institute for Health and Welfare, Kuopio, Finland. FAU - Hanhineva, Kati AU - Hanhineva K AD - LC-MS Metabolomics Center, Kuopio, Finland. AD - Department of Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. FAU - Akesson, Agneta AU - Akesson A AD - Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. FAU - Landberg, Rikard AU - Landberg R AD - Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. AD - Department of Public Health and Clinical Medicine. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - United States TA - J Nutr JT - The Journal of nutrition JID - 0404243 RN - 0 (Biomarkers) RN - 0 (Water Pollutants, Chemical) SB - IM MH - Adult MH - Biomarkers/blood MH - Diabetes Mellitus, Type 2/blood/*epidemiology MH - *Diet MH - Female MH - Humans MH - Male MH - Middle Aged MH - *Seafood MH - Sweden/epidemiology MH - Water Pollutants, Chemical/*blood OTO - NOTNLM OT - O2PLS modeling OT - fish biomarkers OT - metabolomics OT - nested case-control study OT - persistent organic pollutants OT - type 2 diabetes EDAT- 2019/06/19 06:00 MHDA- 2020/04/09 06:00 CRDT- 2019/06/19 06:00 PHST- 2019/01/08 00:00 [received] PHST- 2019/02/13 00:00 [revised] PHST- 2019/03/20 00:00 [accepted] PHST- 2019/06/19 06:00 [pubmed] PHST- 2020/04/09 06:00 [medline] PHST- 2019/06/19 06:00 [entrez] AID - S0022-3166(22)16686-1 [pii] AID - 10.1093/jn/nxz068 [doi] PST - ppublish SO - J Nutr. 2019 Aug 1;149(8):1413-1423. doi: 10.1093/jn/nxz068.