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...

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Autores: Farré Martínez, Adriana, Tirado Muñoz, Judit, Spataro, Nino, Alías i Ferri, María, Torrens, Marta, Fonseca Casals, Francina, 1972-
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Recursos:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/48650
Acesso em linha:http://hdl.handle.net/10230/48650
http://dx.doi.org/10.3390/jcm9082668
Access Level:acceso abierto
Palavra-chave:GWAS
Alcohol induced major depression
Alcohol use disorder
Biomarkers
Clinical characteristics
comorbidity
Primary major depression
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spelling Alcohol induced depression: clinical, biological and genetic featuresFarré Martínez, AdrianaTirado Muñoz, JuditSpataro, NinoAlías i Ferri, MaríaTorrens, MartaFonseca Casals, Francina, 1972-GWASAlcohol induced major depressionAlcohol use disorderBiomarkersClinical characteristicscomorbidityPrimary major depressionBackground: 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.This project has received funding from the European Union’s Horizon 2020 research and innovation programme 2014–2020 under Grant Agreement No. 634143 (MedBioinformatics) and ISCIII-Red de Trastornos Adictivos-RTA-FEDER (RD12/0028/0009 and RD16/0017/0010). Acció instrumental d’Intensificació de Professionals de la Salut—Facultatius especialistes (PERIS: SLT006/17/00014).MDPI202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/48650http://dx.doi.org/10.3390/jcm9082668reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésinfo:eu-repo/grantAgreement/EC/H2020/634143Copyright © 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/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/486502026-06-12T07:21:37Z
dc.title.none.fl_str_mv Alcohol induced depression: clinical, biological and genetic features
title Alcohol induced depression: clinical, biological and genetic features
spellingShingle Alcohol induced depression: clinical, biological and genetic features
Farré Martínez, Adriana
GWAS
Alcohol induced major depression
Alcohol use disorder
Biomarkers
Clinical characteristics
comorbidity
Primary major depression
title_short 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_sort Alcohol induced depression: clinical, biological and genetic features
dc.creator.none.fl_str_mv Farré Martínez, Adriana
Tirado Muñoz, Judit
Spataro, Nino
Alías i Ferri, María
Torrens, Marta
Fonseca Casals, Francina, 1972-
author Farré Martínez, Adriana
author_facet Farré Martínez, Adriana
Tirado Muñoz, Judit
Spataro, Nino
Alías i Ferri, María
Torrens, Marta
Fonseca Casals, Francina, 1972-
author_role author
author2 Tirado Muñoz, Judit
Spataro, Nino
Alías i Ferri, María
Torrens, Marta
Fonseca Casals, Francina, 1972-
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv GWAS
Alcohol induced major depression
Alcohol use disorder
Biomarkers
Clinical characteristics
comorbidity
Primary major depression
topic GWAS
Alcohol induced major depression
Alcohol use disorder
Biomarkers
Clinical characteristics
comorbidity
Primary major depression
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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
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info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/48650
http://dx.doi.org/10.3390/jcm9082668
url http://hdl.handle.net/10230/48650
http://dx.doi.org/10.3390/jcm9082668
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/634143
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info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
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