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A review of new insights into existing major depressive disorder biomarkers

期刊

HELIYON
卷 9, 期 8, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.heliyon.2023.e18909

关键词

Major depressive disorder; Insulin -like growth factor I; Brain -derived neurotrophic factor; Mood disorders; IL-1b

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Due to the diverse nature of major depressive disorder (MDD), there is currently a lack of clear methods for determining its severity, endophenotype, or therapy response. This study examines various biomarkers involved in neurotrophic, metabolic, inflammation, neuroendocrine, and neurotransmitter systems, and identifies promising biologic systems/markers for MDD detection and treatment. The paper also highlights the importance of endocrine and metabolic alterations in MDD.
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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