Literature DB >> 17634253

Interleukin1beta genetic polymorphisms interact with polyunsaturated fatty acids to modulate risk of the metabolic syndrome.

Jian Shen1, Donna K Arnett, James M Peacock, Laurence D Parnell, Aldi Kraja, James E Hixson, Michael Y Tsai, Chao-Qiang Lai, Edmond K Kabagambe, Robert J Straka, Jose M Ordovas.   

Abstract

Chronic inflammation has been identified as an important component of the metabolic syndrome (MetS). Therefore, environmental and genetic factors contributing to the variation of inflammatory responses could affect individuals' susceptibility to MetS. We investigated the association between common IL1beta genetic polymorphisms, inflammation, and the MetS, and the modulation of diet-related variables (i.e., erythrocyte membrane fatty acid composition) in a white U.S. population. IL1beta single nucleotide polymorphisms (SNP) (-1473G > C, -511G > A, -31T > C, 3966C > T, 6054G > A), clinical and biochemical measurements were characterized in a total of 1120 subjects (540 males and 580 females) participating in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study. The 6054 G > A SNP was significantly associated with plasma C-reactive protein (P = 0.054), adiponectin (P = 0.021), and the prevalence of MetS (P = 0.004). Moreover, there was a significant interaction between the 6054G > A SNP and erythrocyte membrane (n-3) PUFA (P = 0.019). Among subjects with low (n-3) PUFA content (below the median), the 6054 G allele was associated with increased risk of the MetS (OR = 3.29, 95%CI = 1.49-7.26 for GG and OR = 1.95, 95%CI = 0.85-4.46 for GA, P < 0.001) compared with the AA genotype, but there were no significant genotype associations among subjects with high (n-3) PUFA content (above the median). Further analyses supported a significant haplotype global effect on the MetS (P = 0.017) among subjects with low (n-3) PUFA content. These results suggested that IL1beta genetic variants were associated with measures of chronic inflammation and the MetS risk, and that genetic influences were more evident among subjects with low (n-3) PUFA intake.

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Year:  2007        PMID: 17634253     DOI: 10.1093/jn/137.8.1846

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  26 in total

Review 1.  The metabolic syndrome.

Authors:  Marc-Andre Cornier; Dana Dabelea; Teri L Hernandez; Rachel C Lindstrom; Amy J Steig; Nicole R Stob; Rachael E Van Pelt; Hong Wang; Robert H Eckel
Journal:  Endocr Rev       Date:  2008-10-29       Impact factor: 19.871

2.  Smoking, inflammatory patterns and postprandial hypertriglyceridemia.

Authors:  Edmond K Kabagambe; Jose M Ordovas; Michael Y Tsai; Ingrid B Borecki; Paul N Hopkins; Stephen P Glasser; Donna K Arnett
Journal:  Atherosclerosis       Date:  2008-08-13       Impact factor: 5.162

3.  REV-ERB-ALPHA circadian gene variant associates with obesity in two independent populations: Mediterranean and North American.

Authors:  Marta Garaulet; Caren E Smith; Purificación Gomez-Abellán; María Ordovás-Montañés; Yu-Chi Lee; Laurence D Parnell; Donna K Arnett; José M Ordovás
Journal:  Mol Nutr Food Res       Date:  2013-10-31       Impact factor: 5.914

4.  More than inflammation: interleukin-1beta polymorphisms and the lipid metabolism.

Authors:  Mihai G Netea; Charles A Dinarello
Journal:  J Clin Endocrinol Metab       Date:  2011-05       Impact factor: 5.958

5.  The effects of omega-3 polyunsaturated fatty acids and genetic variants on methylation levels of the interleukin-6 gene promoter.

Authors:  Yiyi Ma; Caren E Smith; Chao-Qiang Lai; Marguerite R Irvin; Laurence D Parnell; Yu-Chi Lee; Lucia D Pham; Stella Aslibekyan; Steven A Claas; Michael Y Tsai; Ingrid B Borecki; Edmond K Kabagambe; José M Ordovás; Devin M Absher; Donna K Arnett
Journal:  Mol Nutr Food Res       Date:  2015-11-23       Impact factor: 5.914

6.  Personalized nutrition and cardiovascular disease prevention: From Framingham to PREDIMED.

Authors:  Valentini Konstantinidou; Lidia Daimiel; Lidia Angeles Daimiel Ruiz; Jose M Ordovás
Journal:  Adv Nutr       Date:  2014-05-14       Impact factor: 8.701

Review 7.  Gene-environment interactions and susceptibility to metabolic syndrome and other chronic diseases.

Authors:  Jose M Ordovas; Jian Shen
Journal:  J Periodontol       Date:  2008-08       Impact factor: 6.993

8.  CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and North American.

Authors:  Hassan S Dashti; Caren E Smith; Yu-Chi Lee; Laurence D Parnell; Chao-Qiang Lai; Donna K Arnett; José M Ordovás; Marta Garaulet
Journal:  Chronobiol Int       Date:  2014-02-18       Impact factor: 2.877

9.  CLOCK genetic variation and metabolic syndrome risk: modulation by monounsaturated fatty acids.

Authors:  Marta Garaulet; Yu-Chi Lee; Jian Shen; Laurence D Parnell; Donna K Arnett; Michael Y Tsai; Chao-Qiang Lai; Jose M Ordovas
Journal:  Am J Clin Nutr       Date:  2009-10-21       Impact factor: 7.045

10.  The effect of IL6-174C/G polymorphism on postprandial triglyceride metabolism in the GOLDN studyboxs.

Authors:  Jian Shen; Donna K Arnett; Pablo Pérez-Martínez; Laurence D Parnell; Chao-Qiang Lai; James M Peacock; James E Hixson; Michael Y Tsai; Robert J Straka; Paul N Hopkins; José M Ordovás
Journal:  J Lipid Res       Date:  2008-04-16       Impact factor: 5.922

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