PXD020722-2

PXD020722 is an original dataset announced via ProteomeXchange.

Title	Urinary proteome profiling in Parkinson’s disease
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.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:15:38.363.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mario Oroshi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	iodoacetamide derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2020-08-04 02:00:52	ID requested
1	2020-11-24 00:15:10	announced
⏵ 2	2024-10-22 05:15:38	announced	2024-10-22: Updated project metadata.

Dataset with its publication pending

submitter keyword: urine, proteomics, DIA, mass spectrometry, neurodegeneration,Parkinson’s disease, body fluid, biomarker, LC-MS/MS

Matthias Mann
contact affiliation	Head of Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry
contact email	mmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliation	Proteomics
contact email	oroshi@biochem.mpg.de
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD020722
     1. Label: PRIDE project
     2. Name: Urinary proteome profiling in Parkinson’s disease