| Title |
Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2017
|
| DOI | 10.2147/ndt.s138565 |
| Pubmed ID | |
| Authors |
Maciej Bieliński, Marcin Jaracz, Natalia Lesiewska, Marta Tomaszewska, Marcin Sikora, Roman Junik, Anna Kamińska, Andrzej Tretyn, Alina Borkowska |
| Abstract |
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. 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. 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. Polymorphisms in the DAT1 and COMT genes are associated with a greater intensity of depressive symptoms in the obese population. |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 12% |
| Student > Postgraduate | 4 | 12% |
| Student > Master | 4 | 12% |
| Researcher | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 18% |
| Nursing and Health Professions | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Neuroscience | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 August 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#287,031
of 327,503 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#68
of 80 outputs
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