Harpa Oskarsdottir, Arnar Palsson, Erla B Olafsdottir, Vilmantas Giedraitis, Salahuddin Mohammad, Ulf Risérus, Helgi B Schiöth, Gudrun V Skuladottir, Jessica Mwinyi
{"title":"遗传学和脂肪酸代谢的相互作用：探索它们对瑞典男性代谢综合征的影响。","authors":"Harpa Oskarsdottir, Arnar Palsson, Erla B Olafsdottir, Vilmantas Giedraitis, Salahuddin Mohammad, Ulf Risérus, Helgi B Schiöth, Gudrun V Skuladottir, Jessica Mwinyi","doi":"10.1186/s12937-025-01168-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":19203,"journal":{"name":"Nutrition Journal","volume":"24 1","pages":"99"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210471/pdf/","citationCount":"0","resultStr":"{\"title\":\"The interplay of genetics and fatty acid metabolism: exploring their impact on metabolic syndrome in Swedish men.\",\"authors\":\"Harpa Oskarsdottir, Arnar Palsson, Erla B Olafsdottir, Vilmantas Giedraitis, Salahuddin Mohammad, Ulf Risérus, Helgi B Schiöth, Gudrun V Skuladottir, Jessica Mwinyi\",\"doi\":\"10.1186/s12937-025-01168-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":19203,\"journal\":{\"name\":\"Nutrition Journal\",\"volume\":\"24 1\",\"pages\":\"99\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210471/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12937-025-01168-8\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12937-025-01168-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
The interplay of genetics and fatty acid metabolism: exploring their impact on metabolic syndrome in Swedish men.
Background: 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.
Method: 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.
Results: 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.
Conclusion: 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.
期刊介绍：
Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered.
Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies.
In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.
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