Molecular Integration in Neurological Diagnosis - Parkinson's Disease
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PROVIDER: PRJNA1064228 | ENA |
REPOSITORIES: ENA
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Project description:Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease. The purpose of this study was to analyze the profile of the tear proteome of patients with idiopathic PD (iPD), carriers of the E46K-SNCA mutation and healthy subjects (CT) and to identify biomarkers for the early diagnosis of PD. An observational, prospective and case-control pilot study was carried out in 24 patients with iPD, 3 carriers of the E46K-SNCA mutation and 27 CT subjects. The patients' neurological involvement was scored and their tear samples were analyzed using nano-liquid chromatography-mass spectrometry (nLC-MS/MS). These analyses led to the identification of 560 tear proteins in which some of the deregulated proteins were involved in immune response, apoptosis, collagen degradation, protein synthesis, defense and altered lysosomal function. Of these proteins, six related to neurodegenerative processes, showed a good capacity to classify patients and controls. These findings revealed that some proteins were upregulated in the tears of PD patients, mainly those involved in lysosomal function. It is worth highlighting the importance of this study in identifying tear proteins implicated in neurodegeneration and its relationship with PD patients with an aggressive disease phenotype.
2022-02-14 | PXD028811 | Pride
Project description:Parkinson's Disease (PD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators.
2012-02-27 | GSE29654 | GEO
Project description:BackgroundObservational studies in Parkinson's disease (PD) have focused on relatively small numbers of research participants who are studied extensively. The Molecular Integration in Neurological Diagnosis Initiative at the University of Pennsylvania aims to characterize molecular and clinical features of PD in every patient in a large academic center.ObjectiveTo determine the feasibility and interest in a global-capture biomarker research protocol. Additionally, to describe the clinical characteristics and GBA and LRRK2 variant carrier status among participants.MethodsAll patients at UPenn with a clinical diagnosis of PD were eligible. Informed consent included options for access to the medical record, future recontact, and use of biosamples for additional studies. A blood sample and a completed questionnaire were obtained from participants. Targeted genotyping for four GBA and eight LRRK2 variants was performed, with plasma and DNA banked for future research.ResultsBetween September 2018 and December 2019, 704 PD patients were approached for enrollment; 652 (92.6%) enrolled, 28 (3.97%) declined, and 24 (3.41%) did not meet eligibility criteria. Median age was 69 (IQR 63_75) years, disease duration was 5.41 (IQR 2.49_9.95) years, and 11.10%of the cohort was non-white. Disease risk-associated variants in GBA were identified in 39 participants (5.98%) and in LRRK2 in 16 participants (2.45%).ConclusionsWe report the clinical and genetic characteristics of PD patients in an all-comers, global capture protocol from an academic center. Patient interest in participation and yield for identification of GBA and LRRK2 mutation carriers is high, demonstrating feasibility of PD clinic-wide molecular characterization.
| S-EPMC8058284 | biostudies-literature
Project description:National Institute of Neurological Disorders and Stroke (NINDS) Repository Parkinson's Disease Collection
| PRJNA75381 | ENA
Project description:Parkinson's Disease (PD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 29 PD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of PD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Alzheimer's disease, multiple sclerosis, and breast cancer) confirmed their specificity.
2012-02-27 | E-GEOD-29654 | biostudies-arrayexpress
Project description:Identification of early Parkinson's disease events by developing methodology that utilizes recent innovations in human pluripotent stem cells and chemical sensors of HSP90-incorporating chaperome networks.
2018-02-22 | MSV000082091 | MassIVE
Project description:Parkinson's disease is the second most prevalent neurodegenerative disorder, characterized by the degeneration of dopaminergic neurons. Significant improvements in gait balance, particularly step length and velocity, were revealed by less-invasive wireless cortical stimulation. Transcriptome sequencing was performed to demonstrate the cellular mechanism, specifically targeting the primary motor cortex where the stimulation was applied. Our findings indicated that the differentially expressed genes (DEGs), initially down-regulated following Parkinson's disease induction, were subsequently restored to normal levels after cortical stimulation. We propose these DEGs as a potential target for motor disorder treatment in Parkinson's disease. These genes are implicated in crucial processes such as astrocyte-mediated blood vessel development and microglia-mediated phagocytosis of damaged motor neurons, suggesting their significant roles in improvement of behavior disorder. Moreover, these biomarkers not only facilitate rapid and accurate diagnosis of Parkinson's disease but also assist precision medicine approaches.
2024-07-11 | GSE271930 | GEO
Project description:Dog neurological disease-identification of mutation
| PRJEB71373 | ENA
Project description:Human serum samples from early-stage Parkinson's disease and non-diseased controls were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. Other neurodegenerative and non-neurodegenerative diseases were also used to help measure the specificity of the selected biomarkers.
2015-09-30 | GSE62283 | GEO
Project description:Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms. This SuperSeries is composed of the following subset Series: GSE20168: Transcriptional analysis of prefrontal area 9 in Parkinson's disease GSE20291: Transcriptional analysis of putamen in Parkinson's disease GSE20292: Transcriptional analysis of whole substantia nigra in Parkinson's disease Refer to individual Series
2010-03-23 | E-GEOD-20295 | biostudies-arrayexpress