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microRNA-Based Biomarkers in Alzheimer’s Disease (AD)

Alzheimer’s disease (AD) is a multifactorial, age-related neurological disease characterized by complex pathophysiological dynamics taking place at multiple biological levels, including molecular, genetic, epigenetic, cellular and large-scale brain networks. These alterations account for multiple pa...

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Autores principales: Zhao, Yuhai, Jaber, Vivian, Alexandrov, Peter N., Vergallo, Andrea, Lista, Simone, Hampel, Harald, Lukiw, Walter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664832/
https://www.ncbi.nlm.nih.gov/pubmed/33192270
http://dx.doi.org/10.3389/fnins.2020.585432
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author Zhao, Yuhai
Jaber, Vivian
Alexandrov, Peter N.
Vergallo, Andrea
Lista, Simone
Hampel, Harald
Lukiw, Walter J.
author_facet Zhao, Yuhai
Jaber, Vivian
Alexandrov, Peter N.
Vergallo, Andrea
Lista, Simone
Hampel, Harald
Lukiw, Walter J.
author_sort Zhao, Yuhai
collection PubMed
description Alzheimer’s disease (AD) is a multifactorial, age-related neurological disease characterized by complex pathophysiological dynamics taking place at multiple biological levels, including molecular, genetic, epigenetic, cellular and large-scale brain networks. These alterations account for multiple pathophysiological mechanisms such as brain protein accumulation, neuroinflammatory/neuro-immune processes, synaptic dysfunction, and neurodegeneration that eventually lead to cognitive and behavioral decline. Alterations in microRNA (miRNA) signaling have been implicated in the epigenetics and molecular genetics of all neurobiological processes associated with AD pathophysiology. These changes encompass altered miRNA abundance, speciation and complexity in anatomical regions of the CNS targeted by the disease, including modified miRNA expression patterns in brain tissues, the systemic circulation, the extracellular fluid (ECF) and the cerebrospinal fluid (CSF). miRNAs have been investigated as candidate biomarkers for AD diagnosis, disease prediction, prognosis and therapeutic purposes because of their involvement in multiple brain signaling pathways in both health and disease. In this review we will: (i) highlight the significantly heterogeneous nature of miRNA expression and complexity in AD tissues and biofluids; (ii) address how information may be extracted from these data to be used as a diagnostic, prognostic and/or screening tools across the entire continuum of AD, from the preclinical stage, through the prodromal, i.e., mild cognitive impairment (MCI) phase all the way to clinically overt dementia; and (iii) consider how specific miRNA expression patterns could be categorized using miRNA reporters that span AD pathophysiological initiation and disease progression.
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spelling pubmed-76648322020-11-13 microRNA-Based Biomarkers in Alzheimer’s Disease (AD) Zhao, Yuhai Jaber, Vivian Alexandrov, Peter N. Vergallo, Andrea Lista, Simone Hampel, Harald Lukiw, Walter J. Front Neurosci Neuroscience Alzheimer’s disease (AD) is a multifactorial, age-related neurological disease characterized by complex pathophysiological dynamics taking place at multiple biological levels, including molecular, genetic, epigenetic, cellular and large-scale brain networks. These alterations account for multiple pathophysiological mechanisms such as brain protein accumulation, neuroinflammatory/neuro-immune processes, synaptic dysfunction, and neurodegeneration that eventually lead to cognitive and behavioral decline. Alterations in microRNA (miRNA) signaling have been implicated in the epigenetics and molecular genetics of all neurobiological processes associated with AD pathophysiology. These changes encompass altered miRNA abundance, speciation and complexity in anatomical regions of the CNS targeted by the disease, including modified miRNA expression patterns in brain tissues, the systemic circulation, the extracellular fluid (ECF) and the cerebrospinal fluid (CSF). miRNAs have been investigated as candidate biomarkers for AD diagnosis, disease prediction, prognosis and therapeutic purposes because of their involvement in multiple brain signaling pathways in both health and disease. In this review we will: (i) highlight the significantly heterogeneous nature of miRNA expression and complexity in AD tissues and biofluids; (ii) address how information may be extracted from these data to be used as a diagnostic, prognostic and/or screening tools across the entire continuum of AD, from the preclinical stage, through the prodromal, i.e., mild cognitive impairment (MCI) phase all the way to clinically overt dementia; and (iii) consider how specific miRNA expression patterns could be categorized using miRNA reporters that span AD pathophysiological initiation and disease progression. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7664832/ /pubmed/33192270 http://dx.doi.org/10.3389/fnins.2020.585432 Text en Copyright © 2020 Zhao, Jaber, Alexandrov, Vergallo, Lista, Hampel and Lukiw. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhao, Yuhai
Jaber, Vivian
Alexandrov, Peter N.
Vergallo, Andrea
Lista, Simone
Hampel, Harald
Lukiw, Walter J.
microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title_full microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title_fullStr microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title_full_unstemmed microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title_short microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
title_sort microrna-based biomarkers in alzheimer’s disease (ad)
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664832/
https://www.ncbi.nlm.nih.gov/pubmed/33192270
http://dx.doi.org/10.3389/fnins.2020.585432
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