Literature DB >> 27510505

The Neurobiology of Depression: an Integrated Overview from Biological Theories to Clinical Evidence.

F Ferrari1, R F Villa2.   

Abstract

Depressive disorders are heterogeneous diseases, and the complexity of symptoms has led to the formulation of several aethiopathological hypotheses. This heterogeneity may account for the following open issues about antidepressant therapy: (i) antidepressants show a time lag between pharmacological effects, within hours from acute drug administration, and therapeutic effects, within two-four weeks of subchronic treatment; (ii) this latency interval is critical for the patient because of the possible further mood worsening that may result in suicide attempts for the seemingly ineffective therapy and for the apparent adverse effects; (iii) and only 60-70 % of treated patients successfully respond to therapy. In this review, the complexity of the biological theories that try to explain the molecular mechanisms of these diseases is considered, encompassing (i) the classic "monoaminergic hypothesis" alongside the updated hypothesis according to which long-term therapeutical action of antidepressants is mediated by intracellular signal transduction pathways and (ii) the hypothalamic-pituitary-adrenal axis involvement. Although these models have guided research efforts in the field for decades, they have not generated a compelling and conclusive model either for depression pathophysiology or for antidepressant drugs' action. So, other emerging theories are discussed: (iii) the alterations of neuroplasticity and neurotrophins in selective vulnerable cerebral areas; (iv) the involvement of inflammatory processes; (v) and the alterations in mitochondrial function and neuronal bioenergetics. The focus is put on the molecular and theoretical links between all these hypotheses, which are not mutually exclusive but otherwise tightly correlated, giving an integrated and comprehensive overview of the neurobiology of depressive disorders.

Entities:  

Keywords:  Aethiopathological hypotheses; Antidepressant therapy; Depressive disorders; Mitochondrial bioenergetics; Molecular pharmacology; Neuroimaging

Mesh:

Substances:

Year:  2016        PMID: 27510505     DOI: 10.1007/s12035-016-0032-y

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  185 in total

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2.  [Predictive value of inflammatory indicators for post-stroke depression in patients with ischemic stroke].

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4.  Neuroprotective Effect of Apigenin on Depressive-Like Behavior: Mechanistic Approach.

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Journal:  Neurochem Res       Date:  2021-10-27       Impact factor: 3.996

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Authors:  Ingrid Prata Mendonça; Igor Henrique Rodrigues de Paiva; Eduardo Pereira Duarte-Silva; Michel Gomes de Melo; Rodrigo S da Silva; Maria Isabelly Xavier do Nascimento; Christina Alves Peixoto
Journal:  Inflammopharmacology       Date:  2022-08-06       Impact factor: 5.093

6.  TMS Database Registry Consortium Research Project in Japan (TReC-J) for Future Personalized Psychiatry.

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Journal:  J Pers Med       Date:  2022-05-22

Review 7.  Depression in Patients with Parkinson's Disease: Current Understanding of its Neurobiology and Implications for Treatment.

Authors:  Stéphane Prange; Hélène Klinger; Chloé Laurencin; Teodor Danaila; Stéphane Thobois
Journal:  Drugs Aging       Date:  2022-06-16       Impact factor: 4.271

8.  Modulation of Monoaminergic Systems by Antidepressants in the Frontal Cortex of Rats After Chronic Mild Stress Exposure.

Authors:  David Martín-Hernández; Marta P Pereira; Hiram Tendilla-Beltrán; José L M Madrigal; Borja García-Bueno; Juan C Leza; Javier R Caso
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Review 9.  Neuroimaging Biomarkers of New-Onset Psychiatric Disorders Following Traumatic Brain Injury.

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10.  The Association Between Systemic Inflammatory Markers and Post-Stroke Depression: A Prospective Stroke Cohort.

Authors:  Jingjie Hu; Liuyuan Wang; Kaili Fan; Wenwei Ren; Qiongzhang Wang; Yiting Ruan; Chengxiang Yuan; Guiqian Huang; Jincai He
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