The interplay of genetics and fatty acid metabolism: exploring their impact on metabolic syndrome in Swedish men.
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Oskarsdottir H, Palsson A, Olafsdottir EB, Giedraitis V, Mohammad S, Risérus U, Schiöth HB, Skuladottir GV, Mwinyi J
Nutr J 24 (1) 99 [2025-07-01; online 2025-07-01]
Genetic risk variants for obesity and metabolic syndrome (MetS) have been identified, but their link to relevant metabolic health parameters warrants further attention. This study aimed to investigate the extent to which single-nucleotide polymorphisms (SNPs) associated with obesity are linked to changes in fatty acid (FA) profiles in serum cholesteryl esters, lipid metabolism, and MetS risk. Data from the Uppsala Longitudinal Study of Adult Men (ULSAM), conducted in men at age 50 (N = 1973) and age 70 (N = 982), were used to investigate SNPs associated with body mass index (BMI) in genome-wide association studies with metabolic parameters at age 50. The significant SNPs and associated lipid parameters were then used as predictors of MetS over a 20-year follow-up period, at age 70 in binary regression models. The two genes, the brain-derived neurotrophic factor gene (BDNF) (rs7103411) and the fat mass and obesity-associated gene (FTO) (rs1558902), together with delta-5-desaturase (D5D) activity, 20:5n-3 in serum cholesteryl esters (CE), fasting blood glucose, abdominal skinfold thickness, apolipoprotein-B, and high-density lipoprotein cholesterol (HDL-C) at age 50, significantly predicted the risk of MetS at age 70. The findings suggest a considerable contribution of the SNPs BDNF rs7103411, FTO rs1558902, and ETV5 rs9816226, along with low D5D activities and serum levels of HDL-C in men at age 50, to the risk for MetS 20 years later.
NGI Uppsala (SNP&SEQ Technology Platform) [Service]
National Genomics Infrastructure [Service]
PubMed 40598589
DOI 10.1186/s12937-025-01168-8
Crossref 10.1186/s12937-025-01168-8
pmc: PMC12210471
pii: 10.1186/s12937-025-01168-8