Literature DB >> 27591915

Shared Biologic Pathways Between Alzheimer Disease and Major Depression: A Systematic Review of MicroRNA Expression Studies.

Ana Paula Mendes-Silva1, Kelly Silva Pereira1, Gesiane Thamire Tolentino-Araujo1, Eduardo de Souza Nicolau1, Camila Moreira Silva-Ferreira1, Antonio Lucio Teixeira2, Breno S Diniz3.   

Abstract

OBJECTIVE: The clinical-epidemiological relationship between major depressive disorder (MDD) and Alzheimer disease (AD) suggests that they may share common neurobiologic abnormalities.
METHODS: The authors conducted a systematic review and identified microRNAs abnormally expressed in both AD and MDD. The pattern of microRNA regulation in each disorder and the genes regulated by each microRNA and the biologic processes and pathways regulated by these genes were identified.
RESULTS: Seventy-four microRNAs were abnormally expressed in AD and 30 in MDD; 7 were common for both disorders (hsa-let-7f-5p, hsa-miR-664a-3p, hsa-miR-361-5p, hsa-let-7g-5p, hsa-let-7d-5p, hsa-miR-191-5p, hsa-miR-26b-5p). These microRNAs interact with 45 validated genes, and the main biologic pathways and processes regulated by them were proteostasis control, maintenance of genomic integrity, regulation of transcriptional activity, immune-inflammatory control, and neurotrophic support.
CONCLUSION: The current results suggest that the maintenance of genomic integrity, proteostasis control, immune-inflammatory regulation, and neurotrophic support are key neurobiologic links between these conditions. A comprehensive hypothetical model for the interaction between MDD, aging, and the development of AD is provided.
Copyright © 2016 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer disease; biologic pathways; biomarkers; geriatric depression; major depressive disorder; microRNAs

Mesh:

Substances:

Year:  2016        PMID: 27591915     DOI: 10.1016/j.jagp.2016.07.017

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  25 in total

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10.  A Computational Exploration of the Molecular Network Associated to Neuroinflammation in Alzheimer's Disease.

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