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Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders

Major depressive disorder (MDD) is associated with increased suicidal risk and reduced productivity at work. Neuroimmunology, the study of the immune system and nervous system, provides further insight into the pathogenesis and outcome of MDD. Cytokines are the main modulators of neuroimmunology, an...

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Detalles Bibliográficos
Autores principales: Chi, Suhyuk, Lee, Moon-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916349/
https://www.ncbi.nlm.nih.gov/pubmed/33578686
http://dx.doi.org/10.3390/jpm11020114
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author Chi, Suhyuk
Lee, Moon-Soo
author_facet Chi, Suhyuk
Lee, Moon-Soo
author_sort Chi, Suhyuk
collection PubMed
description Major depressive disorder (MDD) is associated with increased suicidal risk and reduced productivity at work. Neuroimmunology, the study of the immune system and nervous system, provides further insight into the pathogenesis and outcome of MDD. Cytokines are the main modulators of neuroimmunology, and their levels are somewhat entangled in depressive disorders as they affect depressive symptoms and are affected by antidepressant treatment. The use of cytokine-derived medication as a treatment option for MDD is currently a topic of interest. Although not very promising, cytokines are also considered as possible prognostic or diagnostic markers for depression. The machine learning approach is a powerful tool for pattern recognition and has been used in psychiatry for finding useful patterns in data that have translational meaning and can be incorporated in daily clinical practice. This review focuses on the current knowledge of neuroimmunology and depression and the possible use of machine learning to widen our understanding of the topic.
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spelling pubmed-79163492021-03-01 Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders Chi, Suhyuk Lee, Moon-Soo J Pers Med Review Major depressive disorder (MDD) is associated with increased suicidal risk and reduced productivity at work. Neuroimmunology, the study of the immune system and nervous system, provides further insight into the pathogenesis and outcome of MDD. Cytokines are the main modulators of neuroimmunology, and their levels are somewhat entangled in depressive disorders as they affect depressive symptoms and are affected by antidepressant treatment. The use of cytokine-derived medication as a treatment option for MDD is currently a topic of interest. Although not very promising, cytokines are also considered as possible prognostic or diagnostic markers for depression. The machine learning approach is a powerful tool for pattern recognition and has been used in psychiatry for finding useful patterns in data that have translational meaning and can be incorporated in daily clinical practice. This review focuses on the current knowledge of neuroimmunology and depression and the possible use of machine learning to widen our understanding of the topic. MDPI 2021-02-10 /pmc/articles/PMC7916349/ /pubmed/33578686 http://dx.doi.org/10.3390/jpm11020114 Text en © 2021 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 Review
Chi, Suhyuk
Lee, Moon-Soo
Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title_full Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title_fullStr Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title_full_unstemmed Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title_short Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders
title_sort personalized medicine using neuroimmunological biomarkers in depressive disorders
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916349/
https://www.ncbi.nlm.nih.gov/pubmed/33578686
http://dx.doi.org/10.3390/jpm11020114
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