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Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population

BACKGROUND: The type 2 diabetes is one of the most common autoimmune diseases. Due to a key role in the metabolism of unsaturated fatty acids such as arachidonic acid, one of the most important precursors of immunity mediators, fatty acid desaturase (FADS) genes could have an important impact in the...

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Autores principales: Mansouri, Vahid, Javanmard, Shaghayegh Haghjooy, Mahdavi, Manijeh, Tajedini, Mohammad Hasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036782/
https://www.ncbi.nlm.nih.gov/pubmed/30050886
http://dx.doi.org/10.4103/abr.abr_131_17
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author Mansouri, Vahid
Javanmard, Shaghayegh Haghjooy
Mahdavi, Manijeh
Tajedini, Mohammad Hasan
author_facet Mansouri, Vahid
Javanmard, Shaghayegh Haghjooy
Mahdavi, Manijeh
Tajedini, Mohammad Hasan
author_sort Mansouri, Vahid
collection PubMed
description BACKGROUND: The type 2 diabetes is one of the most common autoimmune diseases. Due to a key role in the metabolism of unsaturated fatty acids such as arachidonic acid, one of the most important precursors of immunity mediators, fatty acid desaturase (FADS) genes could have an important impact in the development of type 2 diabetes. MATERIALS AND METHODS: This study aimed to determine the relationship between polymorphisms rs174537 in FADS1 gene and rs174575 in FADS2 gene with type 2 diabetes in Iranian population. After extracting genomic DNA, the locations of mutations and allele types were identified with high-resolution melting (HRM)-polymerase chain reaction method. Then, association between these mutations with metabolic syndrome, dyslipidemia, and type 2 diabetes was investigated using χ(2) correlation coefficients for variables and logistic regression. RESULTS: The results showed that among 50 diabetic participants, 68% of patients have the mutant allele for rs174537 in FADS1 gene. This rate is 26% for rs174575 in FADS2 gene. Based on the results, it seems that participants having rs174537 mutant allele are more prone to become diabetic but it has a beneficial effect on total and low-density lipoprotein cholesterol and participants having rs174575 mutant are less prone to become diabetic, and also, it leads to higher triglycerides and body mass index (obesity). CONCLUSIONS: Detecting FADS1 and FADS2, gene polymorphisms using HRM can be an anticipating tool for making decision on initiating lifestyle modifications to prevent type 2 diabetes.
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spelling pubmed-60367822018-07-26 Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population Mansouri, Vahid Javanmard, Shaghayegh Haghjooy Mahdavi, Manijeh Tajedini, Mohammad Hasan Adv Biomed Res Original Article BACKGROUND: The type 2 diabetes is one of the most common autoimmune diseases. Due to a key role in the metabolism of unsaturated fatty acids such as arachidonic acid, one of the most important precursors of immunity mediators, fatty acid desaturase (FADS) genes could have an important impact in the development of type 2 diabetes. MATERIALS AND METHODS: This study aimed to determine the relationship between polymorphisms rs174537 in FADS1 gene and rs174575 in FADS2 gene with type 2 diabetes in Iranian population. After extracting genomic DNA, the locations of mutations and allele types were identified with high-resolution melting (HRM)-polymerase chain reaction method. Then, association between these mutations with metabolic syndrome, dyslipidemia, and type 2 diabetes was investigated using χ(2) correlation coefficients for variables and logistic regression. RESULTS: The results showed that among 50 diabetic participants, 68% of patients have the mutant allele for rs174537 in FADS1 gene. This rate is 26% for rs174575 in FADS2 gene. Based on the results, it seems that participants having rs174537 mutant allele are more prone to become diabetic but it has a beneficial effect on total and low-density lipoprotein cholesterol and participants having rs174575 mutant are less prone to become diabetic, and also, it leads to higher triglycerides and body mass index (obesity). CONCLUSIONS: Detecting FADS1 and FADS2, gene polymorphisms using HRM can be an anticipating tool for making decision on initiating lifestyle modifications to prevent type 2 diabetes. Medknow Publications & Media Pvt Ltd 2018-06-25 /pmc/articles/PMC6036782/ /pubmed/30050886 http://dx.doi.org/10.4103/abr.abr_131_17 Text en Copyright: © 2018 Advanced Biomedical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Mansouri, Vahid
Javanmard, Shaghayegh Haghjooy
Mahdavi, Manijeh
Tajedini, Mohammad Hasan
Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title_full Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title_fullStr Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title_full_unstemmed Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title_short Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population
title_sort association of polymorphism in fatty acid desaturase gene with the risk of type 2 diabetes in iranian population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036782/
https://www.ncbi.nlm.nih.gov/pubmed/30050886
http://dx.doi.org/10.4103/abr.abr_131_17
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