Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Department of Biobank Research.
J Nutr. 2019 Aug 1;149(8):1413-1423. doi: 10.1093/jn/nxz068.
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.
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.
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.
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.
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.
关于鱼类摄入量与 2 型糖尿病(T2D)发病率之间的关联,存在相互矛盾的证据,这可能是由于自我报告摄入量的测量误差以及鱼类中存在的持久性有机污染物(POPs)的共同暴露所致。
本研究旨在确定与鱼类摄入量相关的血浆代谢物,并评估其与瑞典成年人 T2D 风险的关联,而不受 POPs 的影响。
在瑞典韦斯特博滕干预计划的巢式病例对照研究中,分析了 421 对年龄在 30-60 岁的男性和女性的 T2D 病例对照匹配的空腹血浆样本,以及来自 149 对的亚组的 10 年随访样本,使用非靶向代谢组学进行分析。此外,对于有重复样本的 149 对,分析了 16 种血浆 POPs。使用多元建模和偏相关分析鉴定与鱼类相关的血浆代谢物。通过主成分分析(PCA)衍生的代谢物和代谢物模式的可重复性通过内类相关进行评估。通过使用 2 向正交偏最小二乘回归整合代谢物和 POPs,剖析与 POPs 无关的代谢物的独特成分。使用条件逻辑回归估计 T2D 的 OR。
我们确定了 31 种与鱼类摄入量相关的代谢物,这些代谢物的重现性差到良好。基于 PCA 衍生的代谢物模式与鱼类摄入量呈强相关(ρ=0.37,P<0.001),但与 T2D 风险无关。整合鱼类相关代谢物和 POPs 可得到一个独立于 POPs 的独特代谢物成分,该成分与 T2D 风险呈负相关(OR:0.75;95%CI:0.54,1.02,P=0.07)。该成分主要由反映高脂肪鱼摄入量的代谢物组成。
我们的结果表明,在瑞典成年人中,去除共同暴露于 POPs 的拮抗作用后,高脂肪鱼的摄入可能有益于 T2D 的预防。整合代谢物标志物和 POP 暴露似乎是深入了解鱼类摄入量与 T2D 发病率之间关联的一种有前途的方法。