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Association of MEP1A gene variants with insulin metabolism in central European women with polycystic ovary syndrome.
- Source :
-
Gene . Mar2014, Vol. 537 Issue 2, p245-252. 8p. - Publication Year :
- 2014
-
Abstract
- Abstract: Polycystic ovary syndrome (PCOS) shows not only hyperandrogenemia, hirsutism and fertility problems, but also metabolic disturbances including obesity, cardiovascular events and type-2 diabetes. Accumulating evidence suggests some degree of inflammation associated with prominent aspects of PCOS. We aimed to investigate the association of genetic variants 3′UTR rs17468190 (G/T) of the inflammation-associated gene MEP1A (GenBank ID: NM_005588.2) with metabolic disturbances in PCOS and healthy control women. Genetic variants rs17468190 (G/T) of MEP1A gene were analyzed in 576 PCOS women and 206 controls by using the Taqman fluorogenic 5′-exonuclease assay. This polymorphism was tested for association with anthropometric, metabolic, hormonal, and functional parameters of PCOS. There was a borderline significant difference in genotype distribution between PCOS and control women (p=0.046). In overweight/obese PCOS patients, the variants rs17468190 (G/T) in the MEP1A gene are associated with glucose and insulin metabolism. In a dominant model, the GG genotype of the MEP1A gene was more strongly associated with insulin metabolism in overweight/obese PCOS women (body mass index, BMI>25kg/m2), than in GT+TT genotypes. The MEP1A GG-carriers showed a significantly increased homeostatic model assessment — insulin resistance (HOMA-IR) (p=0.003), elevation of fasting insulin (p=0.004) and stimulated insulin (30min, p<0.001; 60min, p=0.009; 120min, p=0.009) as well as triglyceride (p=0.032) levels. MEP1A is a possible target gene for disease modification in PCOS. It might contribute to the abnormalities of glucose metabolism and insulin sensitivity and serve as a diagnostic or therapeutic target gene for PCOS. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03781119
- Volume :
- 537
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Gene
- Publication Type :
- Academic Journal
- Accession number :
- 94150866
- Full Text :
- https://doi.org/10.1016/j.gene.2013.12.055