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Alcohol Induced Depression: Clinical, Biological and Genetic Features
Background: In clinical practice, there is the need to have clinical and biological markers to identify induced depression. The objective was to investigate clinical, biological and genetic differences between Primary Major Depression (Primary MD) and Alcohol Induced MD (AI-MD). Methods: Patients, o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465278/ https://www.ncbi.nlm.nih.gov/pubmed/32824737 http://dx.doi.org/10.3390/jcm9082668 |
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author | Farré, Adriana Tirado, Judit Spataro, Nino Alías-Ferri, María Torrens, Marta Fonseca, Francina |
author_facet | Farré, Adriana Tirado, Judit Spataro, Nino Alías-Ferri, María Torrens, Marta Fonseca, Francina |
author_sort | Farré, Adriana |
collection | PubMed |
description | Background: In clinical practice, there is the need to have clinical and biological markers to identify induced depression. The objective was to investigate clinical, biological and genetic differences between Primary Major Depression (Primary MD) and Alcohol Induced MD (AI-MD). Methods: Patients, of both genders, were recruited from psychiatric hospitalisation units. The PRISM instrument was used to establish the diagnoses. Data on socio-demographic/family history, clinical scales for depression, anxiety, personality and stressful life events were recorded. A blood test was performed analysing biochemical parameters and a Genome Wide Association Study (GWAS) to identify genetic markers associated with AI-MD. Results: A total of 80 patients were included (47 Primary MD and 33 AI-MD). The AI-MD group presented more medical comorbidities and less family history of depression. There were differences in traumatic life events, with higher scores in the AI-MD (14.21 ± 11.35 vs. 9.30 ± 7.38; p = 0.021). DSM-5 criteria were different between groups with higher prevalence of weight changes and less anhedonia, difficulties in concentration and suicidal thoughts in the AI-MD. None of the genetic variants reached significance beyond multiple testing thresholds; however, some suggestive variants were observed. Conclusions: This study has found clinical and biological features that may help physicians to identify AI-MD and improve its therapeutic approach. |
format | Online Article Text |
id | pubmed-7465278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74652782020-09-04 Alcohol Induced Depression: Clinical, Biological and Genetic Features Farré, Adriana Tirado, Judit Spataro, Nino Alías-Ferri, María Torrens, Marta Fonseca, Francina J Clin Med Article Background: In clinical practice, there is the need to have clinical and biological markers to identify induced depression. The objective was to investigate clinical, biological and genetic differences between Primary Major Depression (Primary MD) and Alcohol Induced MD (AI-MD). Methods: Patients, of both genders, were recruited from psychiatric hospitalisation units. The PRISM instrument was used to establish the diagnoses. Data on socio-demographic/family history, clinical scales for depression, anxiety, personality and stressful life events were recorded. A blood test was performed analysing biochemical parameters and a Genome Wide Association Study (GWAS) to identify genetic markers associated with AI-MD. Results: A total of 80 patients were included (47 Primary MD and 33 AI-MD). The AI-MD group presented more medical comorbidities and less family history of depression. There were differences in traumatic life events, with higher scores in the AI-MD (14.21 ± 11.35 vs. 9.30 ± 7.38; p = 0.021). DSM-5 criteria were different between groups with higher prevalence of weight changes and less anhedonia, difficulties in concentration and suicidal thoughts in the AI-MD. None of the genetic variants reached significance beyond multiple testing thresholds; however, some suggestive variants were observed. Conclusions: This study has found clinical and biological features that may help physicians to identify AI-MD and improve its therapeutic approach. MDPI 2020-08-18 /pmc/articles/PMC7465278/ /pubmed/32824737 http://dx.doi.org/10.3390/jcm9082668 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Farré, Adriana Tirado, Judit Spataro, Nino Alías-Ferri, María Torrens, Marta Fonseca, Francina Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title | Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title_full | Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title_fullStr | Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title_full_unstemmed | Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title_short | Alcohol Induced Depression: Clinical, Biological and Genetic Features |
title_sort | alcohol induced depression: clinical, biological and genetic features |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465278/ https://www.ncbi.nlm.nih.gov/pubmed/32824737 http://dx.doi.org/10.3390/jcm9082668 |
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