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: | , , , , , |
|---|---|
| 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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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/article info:eu-repo/semantics/publishedVersion |
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article |
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http://hdl.handle.net/10230/48650 http://dx.doi.org/10.3390/jcm9082668 |
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http://hdl.handle.net/10230/48650 http://dx.doi.org/10.3390/jcm9082668 |
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Inglés |
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Inglés |
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info:eu-repo/grantAgreement/EC/H2020/634143 |
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http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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MDPI |
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