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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.866886/full |
| _version_ | 1811334012975710208 |
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| author | Nicolas Ruffini Nicolas Ruffini Susanne Klingenberg Raoul Heese Susann Schweiger Susanne Gerber |
| author_facet | Nicolas Ruffini Nicolas Ruffini Susanne Klingenberg Raoul Heese Susann Schweiger Susanne Gerber |
| author_sort | Nicolas Ruffini |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T17:01:27Z |
| format | Article |
| id | doaj.art-8426a9caa9104b99a90ee1cade0592c3 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-13T17:01:27Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-8426a9caa9104b99a90ee1cade0592c32022-12-22T02:38:38ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-06-011410.3389/fnagi.2022.866886866886The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based ApproachNicolas Ruffini0Nicolas Ruffini1Susanne Klingenberg2Raoul Heese3Susann Schweiger4Susanne Gerber5Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, GermanyLeibniz Institute for Resilience Research, Leibniz Association, Mainz, GermanyInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, GermanyFraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, GermanyInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, GermanyInstitute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, GermanyThe 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.https://www.frontiersin.org/articles/10.3389/fnagi.2022.866886/fullneurodegenerative diseasesmetastudymulti-omic analysesbioinformaticshub genes and pathways |
| spellingShingle | Nicolas Ruffini Nicolas Ruffini Susanne Klingenberg Raoul Heese Susann Schweiger Susanne Gerber The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach Frontiers in Aging Neuroscience neurodegenerative diseases metastudy multi-omic analyses bioinformatics hub genes and pathways |
| 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 | neurodegenerative diseases metastudy multi-omic analyses bioinformatics hub genes and pathways |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.866886/full |
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