Cargando…

Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease

Parkinson’s disease (PD) and Alzheimer’s disease (AD) are the most common neurodegenerative diseases and have been suggested to share common pathological and physiological links. Understanding the cross-talk between them could reveal potentials for the development of new strategies for early diagnos...

Descripción completa

Detalles Bibliográficos
Autores principales: Kelly, Jack, Moyeed, Rana, Carroll, Camille, Albani, Diego, Li, Xinzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396547/
https://www.ncbi.nlm.nih.gov/pubmed/30819229
http://dx.doi.org/10.1186/s13041-019-0436-5
_version_ 1783399274046816256
author Kelly, Jack
Moyeed, Rana
Carroll, Camille
Albani, Diego
Li, Xinzhong
author_facet Kelly, Jack
Moyeed, Rana
Carroll, Camille
Albani, Diego
Li, Xinzhong
author_sort Kelly, Jack
collection PubMed
description Parkinson’s disease (PD) and Alzheimer’s disease (AD) are the most common neurodegenerative diseases and have been suggested to share common pathological and physiological links. Understanding the cross-talk between them could reveal potentials for the development of new strategies for early diagnosis and therapeutic intervention thus improving the quality of life of those affected. Here we have conducted a novel meta-analysis to identify differentially expressed genes (DEGs) in PD microarray datasets comprising 69 PD and 57 control brain samples which is the biggest cohort for such studies to date. Using identified DEGs, we performed pathway, upstream and protein-protein interaction analysis. We identified 1046 DEGs, of which a majority (739/1046) were downregulated in PD. YWHAZ and other genes coding 14–3-3 proteins are identified as important DEGs in signaling pathways and in protein-protein interaction networks (PPIN). Perturbed pathways also include mitochondrial dysfunction and oxidative stress. There was a significant overlap in DEGs between PD and AD, and over 99% of these were differentially expressed in the same up or down direction across the diseases. REST was identified as an upstream regulator in both diseases. Our study demonstrates that PD and AD share significant common DEGs and pathways, and identifies novel genes, pathways and upstream regulators which may be important targets for therapy in both diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13041-019-0436-5) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6396547
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63965472019-03-13 Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease Kelly, Jack Moyeed, Rana Carroll, Camille Albani, Diego Li, Xinzhong Mol Brain Research Parkinson’s disease (PD) and Alzheimer’s disease (AD) are the most common neurodegenerative diseases and have been suggested to share common pathological and physiological links. Understanding the cross-talk between them could reveal potentials for the development of new strategies for early diagnosis and therapeutic intervention thus improving the quality of life of those affected. Here we have conducted a novel meta-analysis to identify differentially expressed genes (DEGs) in PD microarray datasets comprising 69 PD and 57 control brain samples which is the biggest cohort for such studies to date. Using identified DEGs, we performed pathway, upstream and protein-protein interaction analysis. We identified 1046 DEGs, of which a majority (739/1046) were downregulated in PD. YWHAZ and other genes coding 14–3-3 proteins are identified as important DEGs in signaling pathways and in protein-protein interaction networks (PPIN). Perturbed pathways also include mitochondrial dysfunction and oxidative stress. There was a significant overlap in DEGs between PD and AD, and over 99% of these were differentially expressed in the same up or down direction across the diseases. REST was identified as an upstream regulator in both diseases. Our study demonstrates that PD and AD share significant common DEGs and pathways, and identifies novel genes, pathways and upstream regulators which may be important targets for therapy in both diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13041-019-0436-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-28 /pmc/articles/PMC6396547/ /pubmed/30819229 http://dx.doi.org/10.1186/s13041-019-0436-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Kelly, Jack
Moyeed, Rana
Carroll, Camille
Albani, Diego
Li, Xinzhong
Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title_full Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title_fullStr Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title_full_unstemmed Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title_short Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
title_sort gene expression meta-analysis of parkinson’s disease and its relationship with alzheimer’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396547/
https://www.ncbi.nlm.nih.gov/pubmed/30819229
http://dx.doi.org/10.1186/s13041-019-0436-5
work_keys_str_mv AT kellyjack geneexpressionmetaanalysisofparkinsonsdiseaseanditsrelationshipwithalzheimersdisease
AT moyeedrana geneexpressionmetaanalysisofparkinsonsdiseaseanditsrelationshipwithalzheimersdisease
AT carrollcamille geneexpressionmetaanalysisofparkinsonsdiseaseanditsrelationshipwithalzheimersdisease
AT albanidiego geneexpressionmetaanalysisofparkinsonsdiseaseanditsrelationshipwithalzheimersdisease
AT lixinzhong geneexpressionmetaanalysisofparkinsonsdiseaseanditsrelationshipwithalzheimersdisease