Literature DB >> 25976242

GCKR polymorphism influences liver fat content in patients with type 2 diabetes.

Jean-Michel Petit1,2, David Masson3, Boris Guiu3,4, Fabien Rollot3, Laurence Duvillard3, Benjamin Bouillet3,5, Marie-Claude Brindisi3,5, Perrine Buffier5, Patrick Hillon3,6, Jean-Pierre Cercueil4, Bruno Verges3,5.   

Abstract

AIMS: It has recently been shown that an allele in the glucokinase regulatory protein (GCKR) gene was associated with increased liver fat content in obese children. In this study, we set out to determine whether GCKR rs1260326 polymorphism was associated with liver fat content in patients with type 2 diabetes.
METHODS: Three hundred and eight patients with type 2 diabetes were included in this study. Liver fat content was evaluated using 1H-MR spectroscopy.
RESULTS: In our population, carriers of the rs1260326 minor T allele had a higher liver fat content than did carriers of the C allele homozygote (12.4 ± 9.6 vs. 10.3 ± 9.1 %, p = 0.03). The number of patients with steatosis was significantly higher in minor T allele carriers than in C allele homozygote carriers (70.7 vs. 55.4 %; p = 0.008). In multivariate analysis, the predictive variables for steatosis were BMI [odds ratio (OR) 1.08; 95 % confidence interval (CI) 1.03-1.13; p = 0.002], statin therapy (yes) [OR 0.54; 95 % CI 0.31-0.94; p = 0.03], metformin therapy (yes) [OR 2.67; 95 % CI 1.50-4.75; p < 0.001], and rs1260326 GCKR polymorphism (TT+CT) [OR 1.99; 95 % CI 1.14-3.47; p = 0.01].
CONCLUSIONS: This study shows that in patients with type 2 diabetes who were not selected for liver abnormalities, liver fat content was related to GCKR rs1260326 polymorphism independent of BMI, triglyceride levels, and age.

Entities:  

Keywords:  1H-MR spectroscopy; GCKR; Non-alcoholic fatty liver disease; Steatosis; Type 2 diabetes

Mesh:

Substances:

Year:  2015        PMID: 25976242     DOI: 10.1007/s00592-015-0766-4

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  4 in total

1.  Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk prediction.

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Journal:  Sci Rep       Date:  2017-03-06       Impact factor: 4.379

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Authors:  Glen James; Sulev Reisberg; Kaido Lepik; Nicholas Galwey; Paul Avillach; Liis Kolberg; Reedik Mägi; Tõnu Esko; Myriam Alexander; Dawn Waterworth; A Katrina Loomis; Jaak Vilo
Journal:  PLoS One       Date:  2019-04-12       Impact factor: 3.240

Review 3.  PNPLA3-A Potential Therapeutic Target for Personalized Treatment of Chronic Liver Disease.

Authors:  Xiaocheng Charlie Dong
Journal:  Front Med (Lausanne)       Date:  2019-12-17

4.  A Multi-Gene Panel to Identify Lipedema-Predisposing Genetic Variants by a Next-Generation Sequencing Strategy.

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Journal:  J Pers Med       Date:  2022-02-11
  4 in total

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