Literature DB >> 30995512

Depression in neurodegenerative diseases: Common mechanisms and current treatment options.

Ciaran P C Galts1, Luis E B Bettio2, David C Jewett1, Charles C Yang1, Patricia S Brocardo3, Ana Lucia S Rodrigues4, Jonathan S Thacker2, Joana Gil-Mohapel5.   

Abstract

Major depressive disorder (MDD) is a highly prevalent psychiatric disorder and a major cause of disability worldwide. This neurological condition is commonly associated with neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD) and Huntington's disease (HD), and has a significant impact on the increasing burden of these neuropathologies. Over the past decades, some of the pathophysiological and molecular mechanisms that contribute to these diseases have been elucidated and these findings indicate that, despite presenting distinct features, there are several similarities between the neurobiological alterations that lead to MDD and neurodegeneration in AD, PD, and HD. For instance, disturbances in monoaminergic transmission and the hypothalamic-pituitary-adrenal (HPA) axis, increased oxidative and neuroinflammatory events, and impaired trophic support are thought to contribute to neuronal atrophy and death in all these diseases. In addition, neuroimaging findings have helped elucidate the structural and functional changes implicated in the relationship between depression and neurodegeneration, thus establishing a neuroanatomical signature to explain, at least in part, the comorbidity between MDD and AD, PD, and HD. The present review summarizes these findings and the current evidence regarding the effectiveness of common antidepressant therapies for the treatment of MDD in patients with these neurodegenerative diseases. This population is particularly vulnerable to the drawdowns of conventional antidepressant therapy (namely inadequate response and high risk of side effects), and the development of emerging therapeutic approaches to treat MDD in patients with AD, PD, and HD is thus of paramount importance to improve the quality of life of these individuals.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Clinical study; Depression; Huntington's disease; Neurodegeneration; Parkinson's disease; Preclinical study

Mesh:

Year:  2019        PMID: 30995512     DOI: 10.1016/j.neubiorev.2019.04.002

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  36 in total

Review 1.  The cellular and molecular basis of major depressive disorder: towards a unified model for understanding clinical depression.

Authors:  Eleni Pitsillou; Sarah M Bresnehan; Evan A Kagarakis; Stevano J Wijoyo; Julia Liang; Andrew Hung; Tom C Karagiannis
Journal:  Mol Biol Rep       Date:  2019-10-14       Impact factor: 2.316

Review 2.  Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update-I. Hypokinetic-rigid movement disorders.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2019-06-18       Impact factor: 3.575

3.  Plasma neurofilament light chain levels are associated with depressive and anxiety symptoms in Parkinson's disease.

Authors:  Weifang Yin; Yongyun Zhu; Baiyuan Yang; Fang Wang; Kangfu Yin; Chuanbin Zhou; Hui Ren; Xinglong Yang
Journal:  Neurol Sci       Date:  2022-01-27       Impact factor: 3.307

Review 4.  The effects of ketamine and classic hallucinogens on neurotrophic and inflammatory markers in unipolar treatment-resistant depression: a systematic review of clinical trials.

Authors:  Giordano Novak Rossi; Jaime E C Hallak; Glen Baker; Serdar M Dursun; Rafael G Dos Santos
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-07-13       Impact factor: 5.760

Review 5.  Spermatozoan Metabolism as a Non-Traditional Model for the Study of Huntington's Disease.

Authors:  Meghan Lawlor; Michal Zigo; Karl Kerns; In Ki Cho; Charles A Easley Iv; Peter Sutovsky
Journal:  Int J Mol Sci       Date:  2022-06-28       Impact factor: 6.208

6.  Temporal Characterization of Behavioral and Hippocampal Dysfunction in the YAC128 Mouse Model of Huntington's Disease.

Authors:  Cristine de Paula Nascimento-Castro; Elisa C Winkelmann-Duarte; Gianni Mancini; Priscilla Gomes Welter; Evelini Plácido; Marcelo Farina; Joana Gil-Mohapel; Ana Lúcia S Rodrigues; Andreza Fabro de Bem; Patricia S Brocardo
Journal:  Biomedicines       Date:  2022-06-17

7.  Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression.

Authors:  Junhao Wen; Cynthia H Y Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Ioanna Skampardoni; Ashish Singh; Hema Nawani; Jingxuan Bao; Guray Erus; Haochang Shou; Mohamad Habes; Jimit Doshi; Erdem Varol; R Scott Mackin; Aristeidis Sotiras; Yong Fan; Andrew J Saykin; Yvette I Sheline; Li Shen; Marylyn D Ritchie; David A Wolk; Marilyn Albert; Susan M Resnick; Christos Davatzikos
Journal:  JAMA Psychiatry       Date:  2022-05-01       Impact factor: 25.911

Review 8.  Together from the start: A transdiagnostic framework for early dyadic interventions for neurodegenerative diseases.

Authors:  Sarah M Bannon; Victoria A Grunberg; Heena R Manglani; Ethan G Lester; Christine Ritchie; Ana-Maria Vranceanu
Journal:  J Am Geriatr Soc       Date:  2022-04-18       Impact factor: 7.538

Review 9.  Glutamate and GABA Homeostasis and Neurometabolism in Major Depressive Disorder.

Authors:  Ajay Sarawagi; Narayan Datt Soni; Anant Bahadur Patel
Journal:  Front Psychiatry       Date:  2021-04-27       Impact factor: 4.157

Review 10.  Insights into the Pathophysiology of Psychiatric Symptoms in Central Nervous System Disorders: Implications for Early and Differential Diagnosis.

Authors:  Giulia Menculini; Elena Chipi; Federico Paolini Paoletti; Lorenzo Gaetani; Pasquale Nigro; Simone Simoni; Andrea Mancini; Nicola Tambasco; Massimiliano Di Filippo; Alfonso Tortorella; Lucilla Parnetti
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

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