Cargando…
The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271745/ https://www.ncbi.nlm.nih.gov/pubmed/35832065 http://dx.doi.org/10.3389/fnagi.2022.866886 |
_version_ | 1784744737341702144 |
---|---|
author | Ruffini, Nicolas Klingenberg, Susanne Heese, Raoul Schweiger, Susann Gerber, Susanne |
author_facet | Ruffini, Nicolas Klingenberg, Susanne Heese, Raoul Schweiger, Susann Gerber, Susanne |
author_sort | Ruffini, Nicolas |
collection | PubMed |
description | The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration. |
format | Online Article Text |
id | pubmed-9271745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92717452022-07-12 The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach Ruffini, Nicolas Klingenberg, Susanne Heese, Raoul Schweiger, Susann Gerber, Susanne Front Aging Neurosci Aging Neuroscience The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration. Frontiers Media S.A. 2022-06-27 /pmc/articles/PMC9271745/ /pubmed/35832065 http://dx.doi.org/10.3389/fnagi.2022.866886 Text en Copyright © 2022 Ruffini, Klingenberg, Heese, Schweiger and Gerber. 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 Ruffini, Nicolas Klingenberg, Susanne Heese, Raoul Schweiger, Susann Gerber, Susanne The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title_full | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title_fullStr | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title_full_unstemmed | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title_short | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach |
title_sort | big picture of neurodegeneration: a meta study to extract the essential evidence on neurodegenerative diseases in a network-based approach |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271745/ https://www.ncbi.nlm.nih.gov/pubmed/35832065 http://dx.doi.org/10.3389/fnagi.2022.866886 |
work_keys_str_mv | AT ruffininicolas thebigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT klingenbergsusanne thebigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT heeseraoul thebigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT schweigersusann thebigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT gerbersusanne thebigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT ruffininicolas bigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT klingenbergsusanne bigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT heeseraoul bigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT schweigersusann bigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach AT gerbersusanne bigpictureofneurodegenerationametastudytoextracttheessentialevidenceonneurodegenerativediseasesinanetworkbasedapproach |