Association of a genetic variant in AKT1 gene with features of the metabolic syndrome

Metabolic syndrome (MetS) is a clustering of metabolic abnormalities that is associated with increased risk of developing cardiovascular disease and type 2 diabetes. There is growing body of data showing the associations of genetic variants of the genes involved in the PI3K/AKT/mTOR pathway with dia...

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Veröffentlicht in:Genes & diseases 2019-09, Vol.6 (3), p.290-295
Hauptverfasser: Eshaghi, Fateme Sadat, Ghazizadeh, Hamideh, Kazami-Nooreini, Sakine, Timar, Ameneh, Esmaeily, Habibollah, Mehramiz, Mehrane, Avan, Amir, Ghayour-Mobarhan, Majid
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Sprache:eng
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Zusammenfassung:Metabolic syndrome (MetS) is a clustering of metabolic abnormalities that is associated with increased risk of developing cardiovascular disease and type 2 diabetes. There is growing body of data showing the associations of genetic variants of the genes involved in the PI3K/AKT/mTOR pathway with diabetes and obesity. We aimed to investigate the association between MetS and its components with the genetic polymorphism in AKT1, rs1130233 (T > C). Total of 618 participants, recruited from Mashhad stroke and heart atherosclerosis disorder cohort (MASHAD study). Patients with MetS were defined by using international diabetes federation (IDF) criteria (n = 326) and those without MetS (n = 261) were recruited. Anthropometric and biochemical parameters were measured in all subjects. Genetic analysis for the rs1130233 polymorphism was performed, using the ABI-StepOne instruments with SDS version-2.0 software. Individuals with MetS had a significantly higher levels of BMI, waist-circumference, total cholesterol, triglyceride, high sensitivity-c reactive protein (hs-CRP) and blood-pressure, and lower concentrations of high density lipoprotein (HDL-C), compared to non-MetS individuals (P  C) polymorphism was associated with major components of MetS such as hs-CRP, and BMI, indicating further investigation in a multi-center setting to explore its value as an emerging biomarker of risk stratification marker.
ISSN:2352-3042
2352-4820
2352-3042
DOI:10.1016/j.gendis.2019.03.002