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A review of new insights into existing major depressive disorder biomarkers

As major depressive disorder (MDD) is such a diverse condition, there are currently no clear ways for determining its severity, endophenotype, or therapy response. The distinctive nature of depression, the variability of analysis in literature and the large number of conceptually complicated biomark...

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Autores principales: Rimti, Fahmida Hoque, Shahbaz, Reemal, Bhatt, Kunj, Xiang, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469054/
https://www.ncbi.nlm.nih.gov/pubmed/37664743
http://dx.doi.org/10.1016/j.heliyon.2023.e18909
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author Rimti, Fahmida Hoque
Shahbaz, Reemal
Bhatt, Kunj
Xiang, Alex
author_facet Rimti, Fahmida Hoque
Shahbaz, Reemal
Bhatt, Kunj
Xiang, Alex
author_sort Rimti, Fahmida Hoque
collection PubMed
description As major depressive disorder (MDD) is such a diverse condition, there are currently no clear ways for determining its severity, endophenotype, or therapy response. The distinctive nature of depression, the variability of analysis in literature and the large number of conceptually complicated biomarkers are some of the many reasons for the lack of progress. Markers are involved in the process of neurotrophic, metabolic, and inflammation as well as neuroendocrine and neurotransmitter systems’ components. Some clinical indicators are strong enough so that can be measured using assessments of proteomic, genetic, metabolomics, neuroimaging, epigenetic and transcriptomic. Markers of oxidative stress, endocrine, inflammatory, proteomic, and growth indicators are currently among the promising biologic systems/markers identified in this analysis. This narrative review examines succinct studies which investigated cytokines of inflammatory factors, peripheral factors of development, metabolic and endocrine markers as pathophysiological biomarkers of MDD, and treatment responses. Endocrine and metabolic alterations have also been linked to MDD in various studies. So, this study summarizes all of the numerous biomarkers that are significant in the detection or treatment of MDD patients. The paper also provides an overview of various biomarkers which are important for the regulation and its effects on MDD.
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spelling pubmed-104690542023-09-01 A review of new insights into existing major depressive disorder biomarkers Rimti, Fahmida Hoque Shahbaz, Reemal Bhatt, Kunj Xiang, Alex Heliyon Review Article As major depressive disorder (MDD) is such a diverse condition, there are currently no clear ways for determining its severity, endophenotype, or therapy response. The distinctive nature of depression, the variability of analysis in literature and the large number of conceptually complicated biomarkers are some of the many reasons for the lack of progress. Markers are involved in the process of neurotrophic, metabolic, and inflammation as well as neuroendocrine and neurotransmitter systems’ components. Some clinical indicators are strong enough so that can be measured using assessments of proteomic, genetic, metabolomics, neuroimaging, epigenetic and transcriptomic. Markers of oxidative stress, endocrine, inflammatory, proteomic, and growth indicators are currently among the promising biologic systems/markers identified in this analysis. This narrative review examines succinct studies which investigated cytokines of inflammatory factors, peripheral factors of development, metabolic and endocrine markers as pathophysiological biomarkers of MDD, and treatment responses. Endocrine and metabolic alterations have also been linked to MDD in various studies. So, this study summarizes all of the numerous biomarkers that are significant in the detection or treatment of MDD patients. The paper also provides an overview of various biomarkers which are important for the regulation and its effects on MDD. Elsevier 2023-08-09 /pmc/articles/PMC10469054/ /pubmed/37664743 http://dx.doi.org/10.1016/j.heliyon.2023.e18909 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Rimti, Fahmida Hoque
Shahbaz, Reemal
Bhatt, Kunj
Xiang, Alex
A review of new insights into existing major depressive disorder biomarkers
title A review of new insights into existing major depressive disorder biomarkers
title_full A review of new insights into existing major depressive disorder biomarkers
title_fullStr A review of new insights into existing major depressive disorder biomarkers
title_full_unstemmed A review of new insights into existing major depressive disorder biomarkers
title_short A review of new insights into existing major depressive disorder biomarkers
title_sort review of new insights into existing major depressive disorder biomarkers
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469054/
https://www.ncbi.nlm.nih.gov/pubmed/37664743
http://dx.doi.org/10.1016/j.heliyon.2023.e18909
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