Literature DB >> 32247527

Depression Heterogeneity and Its Biological Underpinnings: Toward Immunometabolic Depression.

Yuri Milaneschi1, Femke Lamers2, Michael Berk3, Brenda W J H Penninx2.   

Abstract

Epidemiological evidence indicates the presence of dysregulated homeostatic biological pathways in depressed patients, such as increased inflammation and disrupted energy-regulating neuroendocrine signaling (e.g., leptin, insulin). Alterations in these biological pathways may explain the considerable comorbidity between depression and cardiometabolic conditions (e.g., obesity, metabolic syndrome, diabetes) and represent a promising target for intervention. This review describes how immunometabolic dysregulations vary as a function of depression heterogeneity by illustrating that such biological dysregulations map more consistently to atypical behavioral symptoms reflecting altered energy intake/expenditure balance (hyperphagia, weight gain, hypersomnia, fatigue, and leaden paralysis) and may moderate the antidepressant effects of standard or novel (e.g., anti-inflammatory) therapeutic approaches. These lines of evidence are integrated in a conceptual model of immunometabolic depression emerging from the clustering of immunometabolic biological dysregulations and specific behavioral symptoms. The review finally elicits questions to be answered by future research and describes how the immunometabolic depression dimension could be used to dissect the heterogeneity of depression and potentially to match subgroups of patients to specific treatments with higher likelihood of clinical success.
Copyright © 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Heterogeneity; Homeostasis; Inflammation; Metabolism; Treatment

Mesh:

Substances:

Year:  2020        PMID: 32247527     DOI: 10.1016/j.biopsych.2020.01.014

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  38 in total

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Authors:  Mathias V Schmidt; Jan M Deussing; Iven-Alex von Mücke-Heim; Lidia Urbina-Treviño; Joeri Bordes; Clemens Ries
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Review 9.  Biomarkers for Deep Brain Stimulation in Animal Models of Depression.

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10.  Depression-related weight change and incident diabetes in a community sample.

Authors:  Eva Graham; Tristan Watson; Sonya S Deschênes; Kristian B Filion; Mélanie Henderson; Sam Harper; Laura C Rosella; Norbert Schmitz
Journal:  Sci Rep       Date:  2021-06-30       Impact factor: 4.379

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