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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-8892382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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