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000301905 037__ $$aDKFZ-2025-01175
000301905 041__ $$aEnglish
000301905 082__ $$a610
000301905 1001_ $$aJäger, Susanne$$b0
000301905 245__ $$aNut 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.
000301905 260__ $$aLondon$$bBioMed Central$$c2025
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000301905 520__ $$aDietary 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.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.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.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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000301905 650_7 $$2Other$$aCohort study
000301905 650_7 $$2Other$$aFatty acid desaturase
000301905 650_7 $$2Other$$aPlasma phospholipid fatty acids
000301905 650_7 $$2Other$$aPolyunsaturated fatty acids
000301905 650_7 $$2Other$$aRandomized controlled trial
000301905 650_7 $$0EC 1.14.19.-$$2NLM Chemicals$$aFatty Acid Desaturases
000301905 650_7 $$2NLM Chemicals$$aDelta-5 Fatty Acid Desaturase
000301905 650_7 $$0EC 1.14.19.3$$2NLM Chemicals$$aFADS1 protein, human
000301905 650_7 $$00RBV727H71$$2NLM Chemicals$$aalpha-Linolenic Acid
000301905 650_7 $$09KJL21T0QJ$$2NLM Chemicals$$aLinoleic Acid
000301905 650_7 $$2NLM Chemicals$$aFatty Acids
000301905 650_2 $$2MeSH$$aHumans
000301905 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2: genetics
000301905 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2: blood
000301905 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2: epidemiology
000301905 650_2 $$2MeSH$$aFatty Acid Desaturases: genetics
000301905 650_2 $$2MeSH$$aDelta-5 Fatty Acid Desaturase
000301905 650_2 $$2MeSH$$aalpha-Linolenic Acid: administration & dosage
000301905 650_2 $$2MeSH$$aMale
000301905 650_2 $$2MeSH$$aFemale
000301905 650_2 $$2MeSH$$aLinoleic Acid: administration & dosage
000301905 650_2 $$2MeSH$$aLinoleic Acid: blood
000301905 650_2 $$2MeSH$$aMiddle Aged
000301905 650_2 $$2MeSH$$aAged
000301905 650_2 $$2MeSH$$aNuts
000301905 650_2 $$2MeSH$$aFatty Acids: blood
000301905 650_2 $$2MeSH$$aCohort Studies
000301905 650_2 $$2MeSH$$aPolymorphism, Single Nucleotide
000301905 650_2 $$2MeSH$$aRisk Factors
000301905 7001_ $$aKuxhaus, Olga$$b1
000301905 7001_ $$aPrada, Marcela$$b2
000301905 7001_ $$aHuybrechts, Inge$$b3
000301905 7001_ $$aTong, Tammy Y N$$b4
000301905 7001_ $$aForouhi, Nita G$$b5
000301905 7001_ $$aRazquin, Cristina$$b6
000301905 7001_ $$aCorella, Dolores$$b7
000301905 7001_ $$aMartinez-Gonzalez, Miguel A$$b8
000301905 7001_ $$aDahm, Christina C$$b9
000301905 7001_ $$aIbsen, Daniel B$$b10
000301905 7001_ $$aTjønneland, Anne$$b11
000301905 7001_ $$aHalkjær, Jytte$$b12
000301905 7001_ $$aMarques, Chloé$$b13
000301905 7001_ $$aCadeau, Claire$$b14
000301905 7001_ $$aRen, Xuan$$b15
000301905 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b16$$udkfz
000301905 7001_ $$aBendinelli, Benedetta$$b17
000301905 7001_ $$aAgnoli, Claudia$$b18
000301905 7001_ $$aCatalano, Alberto$$b19
000301905 7001_ $$aFarràs, Marta$$b20
000301905 7001_ $$aSánchez, Maria-Jose$$b21
000301905 7001_ $$aLópez, María Dolores Chirlaque$$b22
000301905 7001_ $$aGuevara, Marcela$$b23
000301905 7001_ $$aAune, Dagfinn$$b24
000301905 7001_ $$aSharp, Stephen J$$b25
000301905 7001_ $$aWareham, Nicholas J$$b26
000301905 7001_ $$aSchulze, Matthias B$$b27
000301905 773__ $$0PERI:(DE-600)2131669-7$$a10.1186/s12916-025-04187-8$$gVol. 23, no. 1, p. 344$$n1$$p344$$tBMC medicine$$v23$$x1741-7015$$y2025
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