CircRNAs microarray analysis in plasma of Parkinson’s Disease
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE174052 | GEO | 2023/05/01
REPOSITORIES: GEO
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Project description:The degenerative process in Parkinson’s disease (PD) causes a progressive loss of dopaminergic neurons (DaNs) in the nigrostriatal system. Resolving the differences in neuronal susceptibility warrants an amenable PD model that, in comparison to post-mortem human specimens, controls for environmental and genetic differences in PD pathogenesis. At present study, we generated a primate model of PD by carotid artery injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine MPTP and sampled substantia nigra and putamen of macaque for single cell sequencing analysis.
2023-11-19 | E-MTAB-13437 | biostudies-arrayexpress
Project description:Hemispheric asymmetry in neuronal processes is a fundamental feature of the human brain and drives symptom lateralization in Parkinson's disease (PD), but its molecular determinants are unknown. Here, we determine epigenetic changes and genes involved in hemispheric asymmetry in the healthy and PD brain. Neurons of healthy individuals exhibit numerous hemispheric differences in DNA methylation, affecting genes implicated in neurodegenerative diseases. In PD patients, hemispheric asymmetry in DNA methylation is even greater and involves many PD risk genes. Moreover, the lateralization of clinical PD symptoms involves epigenetic, transcriptional, and proteomic differences across hemispheres that affect neurodevelopment, immune activation, and synaptic transmission. In aging, healthy neurons demonstrate a progressive loss of hemisphere asymmetry in epigenomes that is amplified in PD. For PD patients, a long disease course is associated with retaining more hemispheric asymmetry in neuronal epigenomes. Hemispheric differences in epigenetic gene regulation are prevalent in neurons and may affect the progression and symptoms of PD.
2020-03-26 | PXD015239 | Pride
Project description:The molecular mechanism underlying Parkinson's disease (PD), an increasingly common neurodegenerative disease, remains unclear. Long non-coding RNA (lncRNA) plays essential roles in gene expression and human disease. We hypothesize that lncRNAs are involved in the pathogenesis of PD. We profiled the expression of lncRNA in circulating leukocytes of 5 PD patients and 5 healthy controls using microarray.
2019-12-04 | GSE133347 | GEO
Project description:Detailed analysis of disease-affected tissue provides insight into molecular mechanisms contributing to pathogenesis. Substantia nigra, striatum and cortex are functionally connected with increasing degrees of alpha-synuclein pathology in Parkinson's disease. Functional and causal pathway analysis of gene expression and proteomic alterations in these three regions revealed pathways that correlated with deposition of alpha-synuclein. Microarray and RNAseq experiments revealed previously unidentified causal changes related to oligodendrocyte function and synaptic vesicle release and other changes were reflected across all brain regions. Importantly a subset of these changes were replicated in Parkinson's disease blood. Proteomic assessment revealed alterations in mitochondria and vesicular transport proteins that preceded gene gene expression changes indicating defects in translation and/or protein turnover. Our combined approach of proteomics, RNAseq and microarray analyses provides a comprehensive view of the molecular changes that accompany alpha-synculein pathology in Parkinson's disease, and may be instrumental in understanding and diagnosing Parkinson's disease progression. Substantia Nigra (3 normal, 3 PD), Striatum (6 normal, 6 PD), Cortex (5 normal, 5 PD), Cortex non-PD neurodegeneration (2 normal, 3 DLB). Note Sample X201264 was used both for Cortex normal and for Cortex nonPD normal
2014-09-01 | E-GEOD-54282 | biostudies-arrayexpress
Project description:Introduction: Parkinson's disease (PD), typically developing between the ages of 55 and 65 years, is a common neurodegenerative disorder caused by a progressive loss of dopaminergic neurons due to the accumulation of α-synuclein in the substantia nigra. Mitochondria are known to play a key role in cell respiratory function and bioenergetic. Indeed, mitochondrial dysfunction causes an insufficient energy production required to satisfy the needs of several organs, especially the nervous system. Material and methods: The present study explored the mRNA expression of mitochondrial DNA (mtDNA) encoded respiratory chain (RC) subunits in PD patients by using the next generation sequencing analysis (NGS) and the quantitative real-time PCR (qRT-PCR) assay for the confirmation of the NGS results. Results: All tested mitochondrial RC subunits was significantly over-expressed in subjects with PD compared to normal controls . In qRT-PCR the mean expression of all mitochondrial subunits had an expression level of at least 7 times compared to controls. Conclusion: The over-expression of mitochondrial subunits in PD subjects might be secondary to a degeneration-related alteration of the mitochondrial structure or dynamics or to the occurrence of a compensatory mechanism. The study of specific mRNA by peripheral blood mononuclear cells (PBMCs) may provide a better diagnostic frame to early detect PD cases.
2022-01-01 | E-MTAB-9950 | biostudies-arrayexpress
Project description:Parkinson's disease (PD) progresses relentlessly and affects five million people worldwide. Laboratory tests for PD are critically needed for developing treatments designed to slow or prevent progression of the disease. We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular marker here identified is strongly associated with risk of PD in 66 samples of the training set (third tertile cross-validated odds ratio of 5.7 {P for trend 0.005}). It is further validated in 39 independent test samples (third tertile odds ratio of 5.1 {P for trend 0.04}). The genes differentially expressed in patients with PD, or Alzheimer's or progressive supranuclear palsy offer unique insights into disease-linked processes detectable in peripheral blood. Combining gene expression scans in blood and linked clinical data will facilitate the rapid characterization of candidate biomarkers as demonstrated here with respect to PD. Experiment Overall Design: Whole blood expression data from 50 patients with Parkinson's disease, 33 with neurodegenerative diseases other than PD, and 23 healthy controls.
2008-11-22 | E-GEOD-6613 | biostudies-arrayexpress
Project description:Parkinson's disease (PD) is a growing burden worldwide, and despite ongoing efforts to find reliable biomarkers for early and differential diagnosis, prognosis and disease monitoring, there is no biofluid biomarker used in clinical routine to date. Cerebrospinal fluid (CSF) is collected often and should closely reflect structural and functional alterations in PD patients' brains. Here we describe a scalable and sensitive mass spectrometry (MS)-based proteomics workflow for CSF proteome profiling to find specific biomarkers and identify disease-related changes in CSF protein levels in PD. From two independent cohorts consisting of more than 200 individuals, our workflow reproducibly quantified over 1,700 proteins from minimal sample amounts. Combined with machine learning, this identified a group of several proteins, including OMD, CD44, VGF, PRL, and MAN2B1 that were altered in PD patients or significantly correlate with clinical scores, indicative of disease progression. Interestingly, we uncovered signatures of enhanced neuroinflammation in patients with familial PD (LRRK2 G2019S carriers) as indicated by increased levels of CTSS, PLD4, HLA-DRA, HLA-DRB1, and HLA-DPA1. A comparison with urinary proteome changes in PD patients revealed a large overlap in protein composition PD-associated changes in these body fluids, including lysosomal factors like CTSS. Our results validate MS-based proteomics of CSF as a valuable strategy for biomarker discovery and patient stratification in a neurodegenerative disease like PD. Consistent proteomic signatures across two independent CSF cohorts and previously acquired urinary proteome profiles open up new avenues to improve our understanding of PD pathogenesis.
2022-06-01 | PXD026491 | Pride
Project description:The prevalence of Parkinson's disease (PD) is increasing but the development of novel treatment strategies and therapeutics altering the course of the disease would benefit from specific, sensitive and non-invasive biomarkers to detect PD early. Here, we describe a scalable and sensitive proteomics workflow for urinary proteome profiling by combining high-throughput sample preparation with state-of-the-art mass spectrometry (MS)-based proteomics. Our workflow enabled the reproducible quantification of more than 2,000 proteins in more than 200 urine samples using minimal volumes from two independent cohorts. The urinary proteome was significantly different between PD patients and healthy controls as well as between LRRK2 G2019S carriers and non-carriers in both cohorts. Interestingly, our data revealed lysosomal dysregulation in individuals with the LRRK2 G2019S mutation. Machine learning on the urinary proteome data alone classified mutation status and especially disease manifestation in mutation carriers remarkably well (ROC AUCs 0.87 and 0.94, respectively), identifying VGF, ENPEP and other PD-associated proteins as the most discriminating features. Our results validate urinary proteomics as a valuable strategy for biomarker discovery and patient stratification in PD.
2020-11-24 | PXD020722 | Pride
Project description:In order to investigate the effect of Alpha-Ketoglutarate (AKG) on p-α-synuclein in substantia nigra of Parkinson's disease (PD) model mice (C57BL/6), we profiled substantia nigra from wild-type (WT), AAV-α-synuclein (α-Syn), AKG and α-Syn-AKG in male mice by RNA sequencing (RNA-seq).
2022-10-02 | GSE214446 | GEO
Project description:Background Hemispheric asymmetry in neuronal processes is a fundamental feature of the human brain and drives symptom lateralization in Parkinson's disease (PD), but its molecular determinants are unknown. Here, we identify divergent epigenetic patterns involved in hemispheric asymmetry by profiling DNA methylation in isolated prefrontal cortex neurons from control and PD brain hemispheres. DNA methylation is fine-mapped at enhancers and promoters, genome-wide, by targeted bisulfite sequencing in two independent sample cohorts. Results We find that neurons of the human prefrontal cortex exhibit hemispheric differences in DNA methylation. Hemispheric asymmetry in neuronal DNA methylation patterns is largely mediated by differential CpH methylation, and chromatin conformation analysis finds that it targets thousands of genes. With aging, there is a loss of hemispheric asymmetry in neuronal epigenomes, such that hemispheres epigenetically converge in late life. In neurons of PD patients, hemispheric asymmetry in DNA methylation is greater than in controls and involves many PD risk genes. Epigenetic, transcriptomic, and proteomic differences between PD hemispheres correspond to the lateralization of PD symptoms, with abnormalities being most prevalent in the hemisphere matched to side of symptom predominance. Hemispheric asymmetry and symptom lateralization in PD is linked to genes affecting neurodevelopment, immune activation, and synaptic transmission. PD patients with a long disease course have greater hemispheric asymmetry in neuronal epigenomes than those with a short disease course. Conclusions Hemispheric differences in epigenetic gene regulation are prevalent in neurons and may affect the progression and symptoms of PD.
2020-02-12 | GSE135037 | GEO