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Genetic biomarkers of depression

Depression is a term that has been used to describe a variety of ailments, ranging from minor to incapacitating. Clinically significant depression, termed as major depression, is a serious condition characterized not only by depressed mood but also by a cluster of somatic, cognitive, and motivationa...

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Detalles Bibliográficos
Autores principales: Tamatam, Anand, Khanum, Farhath, Bawa, Amarinder Singh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385174/
https://www.ncbi.nlm.nih.gov/pubmed/22754217
http://dx.doi.org/10.4103/0971-6866.96639
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author Tamatam, Anand
Khanum, Farhath
Bawa, Amarinder Singh
author_facet Tamatam, Anand
Khanum, Farhath
Bawa, Amarinder Singh
author_sort Tamatam, Anand
collection PubMed
description Depression is a term that has been used to describe a variety of ailments, ranging from minor to incapacitating. Clinically significant depression, termed as major depression, is a serious condition characterized not only by depressed mood but also by a cluster of somatic, cognitive, and motivational symptoms. Significant research efforts are aimed to understand the neurobiological as well as psychiatric disorders, and the evaluation of treatment of these disorders is still based solely on the assessment of symptoms. In order to identify the biological markers for depression, we have focused on gathering information on different factors responsible for depression including stress, genetic variations, neurotransmitters, and cytokines and chemokines previously suggested to be involved in the pathophysiology of depression. The present review illustrates the potential of biomarker profiling for psychiatric disorders, when conducted in large collections. The review highlighted the biomarker signatures for depression, warranting further investigation.
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spelling pubmed-33851742012-07-02 Genetic biomarkers of depression Tamatam, Anand Khanum, Farhath Bawa, Amarinder Singh Indian J Hum Genet Review Article Depression is a term that has been used to describe a variety of ailments, ranging from minor to incapacitating. Clinically significant depression, termed as major depression, is a serious condition characterized not only by depressed mood but also by a cluster of somatic, cognitive, and motivational symptoms. Significant research efforts are aimed to understand the neurobiological as well as psychiatric disorders, and the evaluation of treatment of these disorders is still based solely on the assessment of symptoms. In order to identify the biological markers for depression, we have focused on gathering information on different factors responsible for depression including stress, genetic variations, neurotransmitters, and cytokines and chemokines previously suggested to be involved in the pathophysiology of depression. The present review illustrates the potential of biomarker profiling for psychiatric disorders, when conducted in large collections. The review highlighted the biomarker signatures for depression, warranting further investigation. Medknow Publications & Media Pvt Ltd 2012 /pmc/articles/PMC3385174/ /pubmed/22754217 http://dx.doi.org/10.4103/0971-6866.96639 Text en Copyright: © Indian Journal of Human Genetics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Tamatam, Anand
Khanum, Farhath
Bawa, Amarinder Singh
Genetic biomarkers of depression
title Genetic biomarkers of depression
title_full Genetic biomarkers of depression
title_fullStr Genetic biomarkers of depression
title_full_unstemmed Genetic biomarkers of depression
title_short Genetic biomarkers of depression
title_sort genetic biomarkers of depression
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385174/
https://www.ncbi.nlm.nih.gov/pubmed/22754217
http://dx.doi.org/10.4103/0971-6866.96639
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