Biomarkers for depression: recent insights, current challenges and future prospects

Rebecca Strawbridge,1 Allan H Young,1,2 Anthony J Cleare1,2 1Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 2South London and Maudsley NHS Foundation Trust, London, UK Abstract: A plethora...

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Autores principales: Strawbridge R, Young AH, Cleare AJ
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Publicado: Dove Medical Press 2017
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spelling oai:doaj.org-article:f59815e2d52047cea9e4c56191c869f22021-12-02T04:46:27ZBiomarkers for depression: recent insights, current challenges and future prospects1178-2021https://doaj.org/article/f59815e2d52047cea9e4c56191c869f22017-05-01T00:00:00Zhttps://www.dovepress.com/biomarkers-for-depression-recent-insights-current-challenges-and-futur-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Rebecca Strawbridge,1 Allan H Young,1,2 Anthony J Cleare1,2 1Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 2South London and Maudsley NHS Foundation Trust, London, UK Abstract: A plethora of research has implicated hundreds of putative biomarkers for depression, but has not yet fully elucidated their roles in depressive illness or established what is abnormal in which patients and how biologic information can be used to enhance diagnosis, treatment and prognosis. This lack of progress is partially due to the nature and heterogeneity of depression, in conjunction with methodological heterogeneity within the research literature and the large array of biomarkers with potential, the expression of which often varies according to many factors. We review the available literature, which indicates that markers involved in inflammatory, neurotrophic and metabolic processes, as well as neurotransmitter and neuroendocrine system components, represent highly promising candidates. These may be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomic and neuroimaging assessments. The use of novel approaches and systematic research programs is now required to determine whether, and which, biomarkers can be used to predict response to treatment, stratify patients to specific treatments and develop targets for new interventions. We conclude that there is much promise for reducing the burden of depression through further developing and expanding these research avenues. Keywords: mood disorder, major depressive disorder, inflammation, treatment response, stratification, personalized medicineStrawbridge RYoung AHCleare AJDove Medical Pressarticlemood disordermajor depressive disorderinflammationtreatment responsestratificationpersonalized medicineNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 13, Pp 1245-1262 (2017)
institution DOAJ
collection DOAJ
language EN
topic mood disorder
major depressive disorder
inflammation
treatment response
stratification
personalized medicine
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
spellingShingle mood disorder
major depressive disorder
inflammation
treatment response
stratification
personalized medicine
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Strawbridge R
Young AH
Cleare AJ
Biomarkers for depression: recent insights, current challenges and future prospects
description Rebecca Strawbridge,1 Allan H Young,1,2 Anthony J Cleare1,2 1Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 2South London and Maudsley NHS Foundation Trust, London, UK Abstract: A plethora of research has implicated hundreds of putative biomarkers for depression, but has not yet fully elucidated their roles in depressive illness or established what is abnormal in which patients and how biologic information can be used to enhance diagnosis, treatment and prognosis. This lack of progress is partially due to the nature and heterogeneity of depression, in conjunction with methodological heterogeneity within the research literature and the large array of biomarkers with potential, the expression of which often varies according to many factors. We review the available literature, which indicates that markers involved in inflammatory, neurotrophic and metabolic processes, as well as neurotransmitter and neuroendocrine system components, represent highly promising candidates. These may be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomic and neuroimaging assessments. The use of novel approaches and systematic research programs is now required to determine whether, and which, biomarkers can be used to predict response to treatment, stratify patients to specific treatments and develop targets for new interventions. We conclude that there is much promise for reducing the burden of depression through further developing and expanding these research avenues. Keywords: mood disorder, major depressive disorder, inflammation, treatment response, stratification, personalized medicine
format article
author Strawbridge R
Young AH
Cleare AJ
author_facet Strawbridge R
Young AH
Cleare AJ
author_sort Strawbridge R
title Biomarkers for depression: recent insights, current challenges and future prospects
title_short Biomarkers for depression: recent insights, current challenges and future prospects
title_full Biomarkers for depression: recent insights, current challenges and future prospects
title_fullStr Biomarkers for depression: recent insights, current challenges and future prospects
title_full_unstemmed Biomarkers for depression: recent insights, current challenges and future prospects
title_sort biomarkers for depression: recent insights, current challenges and future prospects
publisher Dove Medical Press
publishDate 2017
url https://doaj.org/article/f59815e2d52047cea9e4c56191c869f2
work_keys_str_mv AT strawbridger biomarkersfordepressionrecentinsightscurrentchallengesandfutureprospects
AT youngah biomarkersfordepressionrecentinsightscurrentchallengesandfutureprospects
AT cleareaj biomarkersfordepressionrecentinsightscurrentchallengesandfutureprospects
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