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

被引:0
作者
Jack Kelly
Rana Moyeed
Camille Carroll
Diego Albani
Xinzhong Li
机构
[1] Plymouth University,Faculty of Medicine and Dentistry
[2] Plymouth University,Faculty of Science and Engineering
[3] IRCCS - Istituto di Ricerche Farmacologiche “Mario Negri” Via La Masa 19,Department of Neuroscience
[4] Teesside University,School of Science, Engineering & Design
来源
Molecular Brain | / 12卷
关键词
Systems analysis; Parkinson’s disease; Alzheimer’s disease; Meta-analysis; Gene expression; Transcriptome analysis;
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摘要
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.
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