Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolomics unveils disrupted pathways in Parkinson's disease: towards biomarker-based diagnosis

ABSTRACT: Traditional clinical observation methods often result in misdiagnosis, highlighting the need for biomarker-based diagnostic approaches. This study utilizes UPLC-ESI-QTOF untargeted metabolomics combined with biochemometrics to identify novel serum biomarkers for PD. Analyzing a Brazilian cohort of serum samples from 39 PD patients and 15 healthy controls, we identified fifteen metabolites significantly associated with PD

INSTRUMENT(S): Xevo G2-S QTof

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Albert Katchborian Neto

PROVIDER: MSV000095323 | MassIVE | Sat Jul 13 05:44:00 BST 2024

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

GNPS - Metabolomics unveils disrupted pathways in Parkinson's disease: towards biomarker-based diagnosis

Project description:Traditional clinical observation methods often result in misdiagnosis, highlighting the need for biomarker-based diagnostic approaches. This study utilizes UPLC-ESI-QTOF untargeted metabolomics combined with biochemometrics to identify novel serum biomarkers for PD. Analyzing a Brazilian cohort of serum samples from 39 PD patients and 15 healthy controls, we identified fifteen metabolites significantly associated with PD

2024-07-13 | MSV000095323 | GNPS

Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles

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

Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles

2012-02-27 | GSE29654 | GEO

Potential tear biomarkers for the early diagnosis of Parkinson's disease- A pilot study

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

Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles defines putative diagnosis biosignatures for Parkinson's Disease

Project description:Background: Mutations in the leucine-rich repeat kinase 2 (LRRK2) gene have been recognized as genetic risk factors for Parkinson’s disease (PD). However, compared to cancer, fewer genetic mutations contribute to the cause of PD, propelling the search for protein biomarkers for early detection of the disease. Methods: Utilizing 138 urine samples from four groups, healthy individuals (control), healthy individuals with G2019S mutation in the LRRK2 gene (non-manifesting carrier/NMC), PD individuals without G2019S mutation (idiopathic PD/iPD), and PD individuals with G2019S mutation (LRRK2 PD), we applied a proteomics strategy to determine potential diagnostic biomarkers for PD from urinary extracellular vesicles (EVs). Results: After efficient isolation of urinary EVs through chemical affinity followed by mass spectrometric analyses of EV peptides and enriched phosphopeptides, we identify and quantify 4476 unique proteins and 2680 unique phosphoproteins. We detect multiple proteins and phosphoproteins elevated in PD EVs that are known to be involved in important PD pathways, in particular the autophagy pathway, as well as neuronal cell death, neuroinflammation, and formation of amyloid fibrils. We establish a panel of proteins and phosphoproteins as novel candidates for disease biomarkers and substantiate the biomarkers using machine learning, ROC, clinical correlation, and in-depth network analysis. Several putative disease biomarkers are further partially validated in patients with PD using parallel reaction monitoring (PRM) and immunoassay for targeted quantitation. Conclusions: These findings demonstrate a general strategy of utilizing biofluid EV proteome/phosphoproteome as an outstanding and non-invasive source for a wide range of disease exploration.

2020-07-21 | MSV000085800 | MassIVE

Diagnosis of Early-Stage Parkinson's Disease Using Autoantibodies as Blood-based Biomarkers

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

Effect of rasagiline on the serum exosome miRNA transcriptome of Parkinson's disease patients (2023)

Project description:Background: Parkinson's disease (PD), a neurodegenerative disease characterised by bradykinesia, rest tremor and rigidit, affects approximately 6.1 million people worldwide. Although its aetiology was attributed to accumulation of misfolded alpha-synuclein species and subsequent loss of dopaminergic neurons in the substantia nigra, recently, systemic factors contributing to its initiation and progression have gained increasing recognition. Specifically, exosomes, a kind of extracellular vesicles in the size range of ∼30 to ∼200 nm, have been highlighted as crucial mediators in orchestrating the intricate intercellular communication in PD. Among its cargos, miRNAs, with its ability to promote target mRNA degradation and inihibit translation, have been identiifed as promising biomarkers and therpaeutic targets. Nonetheless, the effect of anti-parkinsonism medication on the serum exosome miRNA profiles of PD patients remain lagrely unexplored. Objective: To examine the effects of rasagiline, a potentially neuroprotective monoamine oxidase B inihibitor, on the serum exosome miRNA profile of PD patients.

2024-07-26 | GSE269779 | GEO

Effect of rasagiline on the serum exosome miRNA transcriptome of Parkinson's disease patients (2022)

2024-07-26 | GSE269777 | GEO

Effect of rasagiline on the serum exosome miRNA transcriptome of Parkinson's disease patients (2021)

2024-07-26 | GSE269776 | GEO

Effect of rasagiline on the serum exosome miRNA transcriptome of Parkinson's disease patients (2020)

2024-07-26 | GSE269775 | GEO