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Combinatorial Chemistry & High Throughput Screening

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ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

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Research Article

FABP1 Gene Variant is Associated with Risk of Metabolic Syndrome

Author(s): Reza Zare-Feyzabadi, Majid Mozaffari*, Majid Ghayour-Mobarhan* and Mohsen Valizadeh

Volume 25, Issue 8, 2022

Published on: 03 June, 2021

Page: [1355 - 1360] Pages: 6

DOI: 10.2174/1386207324666210603114434

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Abstract

Background: Metabolic Syndrome (MetS) is defined by a clustering of metabolic abnormalities associated with an increased risk of cardiovascular disease and type 2 diabetes mellitus. There has been an increasing interest in the associations of genetic variant involved in diabetes and obesity in the FABP1 pathway. The relationship between the rs2241883 polymorphism of FABP1 and risk of MetS remains unclear.

Objective: We aimed to examine the association between this genetic polymorphism and the presence of MetS and its constituent factors.

Methods: A total of 942 participants were recruited as part of the Mashhad Stroke and Heart Atherosclerosis Disorders (MASHAD study) Cohort. Patients with MetS were identified using the International Diabetes Federation (IDF) criteria (n=406) and those without MetS (n=536) were also recruited. DNA was extracted from peripheral blood samples that was used for genotyping for the FABP1 rs2241883T/C polymorphism using Tetra-Amplification Refractory Mutation System Polymerase Chain Reaction (Tetra-ARMS PCR). Genetic analysis was confirmed by gel electrophoresis and DNA sequencing.

Results: Using both univariate and multivariate analyses after adjusting for age, sex and physical activity, carriers of C allele (CT/CC genotypes) in FABP1 variant was related to an increased risk of MetS, compared to non-carriers (OR: 1.38, 95%CI: 1.04,1.82, p=0.026).

Conclusion: The present study shows that C allele in FABP1 variant can be associated with an increased risk of MetS. The evaluation of these factors in a larger population may help further confirm these findings.

Keywords: FABP1, metabolic syndrome, genetic variants, diabetes, cardiovascular disease, polymorphism

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