在EPIC-InterAct和PREDIMED研究中,坚果摄入量、亚油酸和α-亚麻酸摄入量和遗传学:脂肪酸去饱和酶1如何影响血浆脂肪酸和2型糖尿病风险。

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Susanne Jäger, Olga Kuxhaus, Marcela Prada, Inge Huybrechts, Tammy Y N Tong, Nita G Forouhi, Cristina Razquin, Dolores Corella, Miguel A Martinez-Gonzalez, Christina C Dahm, Daniel B Ibsen, Anne Tjønneland, Jytte Halkjær, Chloé Marques, Claire Cadeau, Xuan Ren, Verena Katzke, Benedetta Bendinelli, Claudia Agnoli, Alberto Catalano, Marta Farràs, Maria-Jose Sánchez, María Dolores Chirlaque López, Marcela Guevara, Dagfinn Aune, Stephen J Sharp, Nicholas J Wareham, Matthias B Schulze
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引用次数: 0

摘要

背景:膳食指南建议用不饱和脂肪酸,特别是多不饱和脂肪酸代替饱和脂肪酸。队列研究并未表明摄入更多的多不饱和脂肪酸有明显的益处,但相反,较高的循环亚油酸(LA)水平(反映饮食中LA的摄入量)与2型糖尿病风险降低有关。然而,脂肪酸去饱和酶1基因(FADS1)的遗传变异可能影响个体对植物性脂肪的反应。在一项大规模队列研究和随机对照试验中,我们探讨了FADS1变异是否影响LA和α-亚麻酸(ALA)摄入量和坚果摄入量与血浆磷脂脂肪酸谱和2型糖尿病风险的关系。方法:在EPIC-InterAct病例队列(7,498例2型糖尿病患者,10,087名亚队列参与者)中,我们使用加权Cox回归研究了饮食和血浆磷脂脂肪酸以及坚果摄入量与FADS1 rs174547的相互作用与2型糖尿病发病率的关系。在PREDIMED(地中海饮食+坚果干预组492名参与者,对照组436名参与者)中,我们比较了从基线到第1年血浆磷脂FAs的变化。结果:在EPIC-InterAct和PREDIMED中,坚果食用量与LA血浆水平呈正相关,与花生四烯酸水平呈负相关,后者随着次要rs174547 C等位基因数量的增加而增强(p互作EPIC-InterAct: 0.030, PREDIMED: 0.003)。虽然在rs174547 cc -基因型的参与者中,坚果摄入与糖尿病的负相关(HR: 0.73, 95% CI: 0.54-1.00)似乎比在EPIC-InterAct中CT(0.94, 0.81-1.10)或TT(0.90, 0.78-1.05)更强,但这种相互作用没有统计学意义。结论:FADS1变异改变了坚果摄取量对循环FAs的影响。我们没有观察到明确的证据表明它改变了坚果摄入与2型糖尿病风险之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nut consumption, linoleic and α-linolenic acid intakes, and genetics: how fatty acid desaturase 1 impacts plasma fatty acids and type 2 diabetes risk in EPIC-InterAct and PREDIMED studies.

Background: Dietary guidelines recommend replacing saturated fatty acid with unsaturated fats, particularly polyunsaturated fatty acids. Cohort studies do not suggest a clear benefit of higher intake of polyunsaturated fatty acids but, in contrast, higher circulating linoleic acid (LA) levels-reflective of dietary LA intake, are associated with a reduced risk of type 2 diabetes. However, genetic variants in the fatty acid desaturase 1 gene (FADS1) may influence individual responses to plant-based fats. We explored whether FADS1 variants influence the relationships of LA and α-linolenic acid (ALA) intakes and nut consumption with plasma phospholipid fatty acid profiles and type 2 diabetes risk in a large-scale cohort study and a randomized controlled trial.

Methods: In the EPIC-InterAct case-cohort (7,498 type 2 diabetes cases, 10,087 subcohort participants), we investigated interactions of dietary and plasma phospholipid fatty acids and nut consumption with FADS1 rs174547 in relation to incident type 2 diabetes using weighted Cox regression. In PREDIMED (492 participants in the Mediterranean Diet + Nuts intervention group, 436 participants in the control group), we compared changes in plasma phospholipid FAs from baseline to year 1.

Results: In EPIC-InterAct and PREDIMED, nut consumption was positively associated with LA plasma levels and inversely with arachidonic acid, the latter becoming stronger with increasing number of the minor rs174547 C allele (p interaction EPIC-InterAct: 0.030, PREDIMED: 0.003). Although the inverse association of nut consumption with diabetes seemed stronger in participants with rs174547 CC-genotype (HR: 0.73, 95% CI: 0.54-1.00) compared with CT (0.94, 0.81-1.10) or TT (0.90, 0.78-1.05) in EPIC-InterAct, this interaction was not statistically significant.

Conclusions: FADS1 variation modified the effect of nut consumption on circulating FAs. We did not observe clear evidence that it modified the association between nut consumption and type 2 diabetes risk.

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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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