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VEGF gene polymorphism interactions with dietary trace elements intake in determining the risk of metabolic syndrome
Authors:Zohreh Hoseini  Mohsen Azimi-Nezhad  Majid Ghayour-Mobarhan  Amir Avan  Saeed Eslami  Mohsen Nematy  Seyed Reza Mirhafez  Hamed Ghazavi  Gordon A. Ferns  Mohammad Safarian
Affiliation:1. Metabolic syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran;2. Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran;3. Pharmaceutical Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran;4. Department of Basic Medical Sciences, Neyshabur University of Medical Sciences, Neyshabur, Iran;5. Department of Medical Biotechnology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran;6. Brighton & Sussex Medical School, Division of Medical Education, Brighton, UK
Abstract:There is a complex association among genetic, metabolic, and environmental factors in determining the risk of metabolic syndrome (MetS). The aim of this study was to investigate the role of the association between the dietary intake of iron, copper, zinc, manganese, selenium, and iodine (assessed by 24 recall) with vascular endothelial growth factor variants (rs6921438, rs4416670, rs6993770, and rs10738760), on the risk of MetS. Two-hundred and forty-eight individuals with MetS and 100 individuals without MetS were recruited. The dietary intake and the daily average of energy and nutrient intake were obtained by a questionnaire and quantified using Diet Plan 6 software. DNA was extracted from EDTA anticoagulated whole blood. The SNPs were assessed using using a Sequenom iPLEX Gold assay. Data analysis was undertaken using the Student t test, χ2 test and logistic regression using SPSS 11.5 software. There was a significant association between low dietary iron intake and rs6993770 (β = .10, P < .05), and a low dietary zinc and a high manganese intake with rs6921438 in relation to the presence of MetS (β = −.17, P < .05, β = −.30, P < .05, respectively). Our data showed the association of rs6993770 with iron intake and rs6921438 with zinc and manganese intake, indicating further investigation in a larger population to evaluate their values.
Keywords:metabolic syndrome (MetS)  polymorphism  single-nucleotide polymorphisMetS (SNPs)  trace element  vascular endothelial growth factor receptor (VEGF)
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