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Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease

Amnestic mild cognitive impairment (aMCI) and sporadic Alzheimer’s disease (AD) are multifactorial conditions resulting from a complex crosstalk among multiple molecular and biological processes. The present study investigates the association of variants localized in genes and miRNAs with aMCI and A...

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Autores principales: Strafella, Claudia, Caputo, Valerio, Termine, Andrea, Fabrizio, Carlo, Calvino, Giulia, Megalizzi, Domenica, Ruffo, Paola, Toppi, Elisa, Banaj, Nerisa, Bassi, Andrea, Bossù, Paola, Caltagirone, Carlo, Spalletta, Gianfranco, Giardina, Emiliano, Cascella, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892382/
https://www.ncbi.nlm.nih.gov/pubmed/35250545
http://dx.doi.org/10.3389/fnagi.2022.821789
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author Strafella, Claudia
Caputo, Valerio
Termine, Andrea
Fabrizio, Carlo
Calvino, Giulia
Megalizzi, Domenica
Ruffo, Paola
Toppi, Elisa
Banaj, Nerisa
Bassi, Andrea
Bossù, Paola
Caltagirone, Carlo
Spalletta, Gianfranco
Giardina, Emiliano
Cascella, Raffaella
author_facet Strafella, Claudia
Caputo, Valerio
Termine, Andrea
Fabrizio, Carlo
Calvino, Giulia
Megalizzi, Domenica
Ruffo, Paola
Toppi, Elisa
Banaj, Nerisa
Bassi, Andrea
Bossù, Paola
Caltagirone, Carlo
Spalletta, Gianfranco
Giardina, Emiliano
Cascella, Raffaella
author_sort Strafella, Claudia
collection PubMed
description Amnestic mild cognitive impairment (aMCI) and sporadic Alzheimer’s disease (AD) are multifactorial conditions resulting from a complex crosstalk among multiple molecular and biological processes. The present study investigates the association of variants localized in genes and miRNAs with aMCI and AD, which may represent susceptibility, prognostic biomarkers or multi-target treatment options for such conditions. We included 371 patients (217 aMCI and 154 AD) and 503 healthy controls, which were genotyped for a panel of 120 single nucleotide polymorphisms (SNPs) and, subsequently, analyzed by statistical, bioinformatics and machine-learning approaches. As a result, 21 SNPs were associated with aMCI and 13 SNPs with sporadic AD. Interestingly, a set of variants shared between aMCI and AD displayed slightly higher Odd Ratios in AD with respect to aMCI, highlighting a specific risk trajectory linking aMCI to AD. Some of the associated genes and miRNAs were shown to interact within the signaling pathways of APP (Amyloid Precursor Protein), ACE2 (Angiotensin Converting Enzyme 2), miR-155 and PPARG (Peroxisome Proliferator Activated Receptor Gamma), which are known to contribute to neuroinflammation and neurodegeneration. Overall, results of this study increase insights concerning the genetic factors contributing to the neuroinflammatory and neurodegenerative mechanisms underlying aMCI and sporadic AD. They have to be exploited to develop personalized approaches based on the individual genetic make-up and multi-target treatments.
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spelling pubmed-88923822022-03-04 Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease Strafella, Claudia Caputo, Valerio Termine, Andrea Fabrizio, Carlo Calvino, Giulia Megalizzi, Domenica Ruffo, Paola Toppi, Elisa Banaj, Nerisa Bassi, Andrea Bossù, Paola Caltagirone, Carlo Spalletta, Gianfranco Giardina, Emiliano Cascella, Raffaella Front Aging Neurosci Aging Neuroscience Amnestic mild cognitive impairment (aMCI) and sporadic Alzheimer’s disease (AD) are multifactorial conditions resulting from a complex crosstalk among multiple molecular and biological processes. The present study investigates the association of variants localized in genes and miRNAs with aMCI and AD, which may represent susceptibility, prognostic biomarkers or multi-target treatment options for such conditions. We included 371 patients (217 aMCI and 154 AD) and 503 healthy controls, which were genotyped for a panel of 120 single nucleotide polymorphisms (SNPs) and, subsequently, analyzed by statistical, bioinformatics and machine-learning approaches. As a result, 21 SNPs were associated with aMCI and 13 SNPs with sporadic AD. Interestingly, a set of variants shared between aMCI and AD displayed slightly higher Odd Ratios in AD with respect to aMCI, highlighting a specific risk trajectory linking aMCI to AD. Some of the associated genes and miRNAs were shown to interact within the signaling pathways of APP (Amyloid Precursor Protein), ACE2 (Angiotensin Converting Enzyme 2), miR-155 and PPARG (Peroxisome Proliferator Activated Receptor Gamma), which are known to contribute to neuroinflammation and neurodegeneration. Overall, results of this study increase insights concerning the genetic factors contributing to the neuroinflammatory and neurodegenerative mechanisms underlying aMCI and sporadic AD. They have to be exploited to develop personalized approaches based on the individual genetic make-up and multi-target treatments. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8892382/ /pubmed/35250545 http://dx.doi.org/10.3389/fnagi.2022.821789 Text en Copyright © 2022 Strafella, Caputo, Termine, Fabrizio, Calvino, Megalizzi, Ruffo, Toppi, Banaj, Bassi, Bossù, Caltagirone, Spalletta, Giardina and Cascella. https://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 Aging Neuroscience
Strafella, Claudia
Caputo, Valerio
Termine, Andrea
Fabrizio, Carlo
Calvino, Giulia
Megalizzi, Domenica
Ruffo, Paola
Toppi, Elisa
Banaj, Nerisa
Bassi, Andrea
Bossù, Paola
Caltagirone, Carlo
Spalletta, Gianfranco
Giardina, Emiliano
Cascella, Raffaella
Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title_full Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title_fullStr Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title_full_unstemmed Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title_short Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
title_sort identification of genetic networks reveals complex associations and risk trajectory linking mild cognitive impairment to alzheimer’s disease
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892382/
https://www.ncbi.nlm.nih.gov/pubmed/35250545
http://dx.doi.org/10.3389/fnagi.2022.821789
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