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Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population
OBJECTIVES: Depressive symptoms are common among patients with obesity. Abnormalities in dopamine signaling involved in the reward circuit may ensue excessive consumption of food, resulting in obesity and leading to neuropsychiatric disorders such as depression. This study sought to investigate the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571853/ https://www.ncbi.nlm.nih.gov/pubmed/28860780 http://dx.doi.org/10.2147/NDT.S138565 |
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author | Bieliński, Maciej Jaracz, Marcin Lesiewska, Natalia Tomaszewska, Marta Sikora, Marcin Junik, Roman Kamińska, Anna Tretyn, Andrzej Borkowska, Alina |
author_facet | Bieliński, Maciej Jaracz, Marcin Lesiewska, Natalia Tomaszewska, Marta Sikora, Marcin Junik, Roman Kamińska, Anna Tretyn, Andrzej Borkowska, Alina |
author_sort | Bieliński, Maciej |
collection | PubMed |
description | OBJECTIVES: Depressive symptoms are common among patients with obesity. Abnormalities in dopamine signaling involved in the reward circuit may ensue excessive consumption of food, resulting in obesity and leading to neuropsychiatric disorders such as depression. This study sought to investigate the association of polymorphisms in the genes encoding DAT1/SLC6A3 and COMT with the intensity of depressive symptoms in obese subjects. PARTICIPANTS AND METHODS: Prevalence and severity of depressive symptoms were assessed in a group of 364 obese patients using the Beck Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HDRS). Genetic polymorphisms in DAT1 and COMT were evaluated in peripheral blood samples. RESULTS: The results indicated an association between DAT1 alleles and depressive symptoms, as well as severity of obesity. Subjects homozygous for the nine-repeat allele scored higher in BDI (P=0.022) and HDRS (P=0.00001), suggesting higher intensity of depression in both sexes. This allele was also associated with the highest body mass index (BMI; P=0.001). Carriers of the Val158Met allele of COMT scored higher on both depression scales (BDI, P=0.0005; HRDS, P=0.002) and had the highest BMI values. CONCLUSION: Polymorphisms in the DAT1 and COMT genes are associated with a greater intensity of depressive symptoms in the obese population. |
format | Online Article Text |
id | pubmed-5571853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55718532017-08-31 Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population Bieliński, Maciej Jaracz, Marcin Lesiewska, Natalia Tomaszewska, Marta Sikora, Marcin Junik, Roman Kamińska, Anna Tretyn, Andrzej Borkowska, Alina Neuropsychiatr Dis Treat Original Research OBJECTIVES: Depressive symptoms are common among patients with obesity. Abnormalities in dopamine signaling involved in the reward circuit may ensue excessive consumption of food, resulting in obesity and leading to neuropsychiatric disorders such as depression. This study sought to investigate the association of polymorphisms in the genes encoding DAT1/SLC6A3 and COMT with the intensity of depressive symptoms in obese subjects. PARTICIPANTS AND METHODS: Prevalence and severity of depressive symptoms were assessed in a group of 364 obese patients using the Beck Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HDRS). Genetic polymorphisms in DAT1 and COMT were evaluated in peripheral blood samples. RESULTS: The results indicated an association between DAT1 alleles and depressive symptoms, as well as severity of obesity. Subjects homozygous for the nine-repeat allele scored higher in BDI (P=0.022) and HDRS (P=0.00001), suggesting higher intensity of depression in both sexes. This allele was also associated with the highest body mass index (BMI; P=0.001). Carriers of the Val158Met allele of COMT scored higher on both depression scales (BDI, P=0.0005; HRDS, P=0.002) and had the highest BMI values. CONCLUSION: Polymorphisms in the DAT1 and COMT genes are associated with a greater intensity of depressive symptoms in the obese population. Dove Medical Press 2017-08-18 /pmc/articles/PMC5571853/ /pubmed/28860780 http://dx.doi.org/10.2147/NDT.S138565 Text en © 2017 Bieliński et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Bieliński, Maciej Jaracz, Marcin Lesiewska, Natalia Tomaszewska, Marta Sikora, Marcin Junik, Roman Kamińska, Anna Tretyn, Andrzej Borkowska, Alina Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title_full | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title_fullStr | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title_full_unstemmed | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title_short | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population |
title_sort | association between comt val158met and dat1 polymorphisms and depressive symptoms in the obese population |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571853/ https://www.ncbi.nlm.nih.gov/pubmed/28860780 http://dx.doi.org/10.2147/NDT.S138565 |
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