PXD054170 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteomic analysis identifies dysregulated proteins in albuminuria: a South African pilot study |
Description | Chronic kidney disease remains an unmet clinical challenge. It is only detected at advanced stages by current markers. Therefore, early detection of chronic kidney disease is vital. In this study, we profiled the urinary proteome in patients with albuminuria with well-preserved eGFR. We identi-fied 80 proteins that were differentially abundant between cases (albuminuria) and controls (normoalbuminuria). Among these, 12 proteins (SERPINA1, ALB, SERPINC1, AFM, PIGR, A1BG, COL6A1, MYG, LV39, MUC1, ICOSLG, and UMOD) had the highest discriminating abilities (area under curve > 0.8) between cases and controls. When differentially abundant proteins were com-bined into an 80-protein model, the model was able to predict cases from controls with predictive accuracy of 91.3%. The top five enriched biological pathways associated with differentially abundant proteins included insulin growth factor functions, innate immunity, platelet degranula-tion, and extracellular matrix organization. |
HostingRepository | PRIDE |
AnnounceDate | 2025-05-07 |
AnnouncementXML | Submission_2025-05-06_23:25:59.199.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Ireshyn Govender |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-07-24 01:09:58 | ID requested | |
⏵ 1 | 2025-05-06 23:26:00 | announced | |
Publication List
10.3390/ijms26041740; |
Khoza S, George JA, Naicker P, Stoychev SH, Mokoena RJ, Govender IS, Fabian J, Distinct Urinary Proteome Changes Across Estimated Glomerular Filtration Rate Stages in a Cohort of Black South Africans. Int J Mol Sci, 26(4):(2025) [pubmed] |
Keyword List
submitter keyword: urinary proteomics |
albuminuria |
chronic kidney disease |
biomarker,ne |
Contact List
Previn Naicker |
contact affiliation | Council for Scientific and Industrial Research |
contact email | pnaicker1@csir.co.za |
lab head | |
Ireshyn Govender |
contact affiliation | Council for Scientific and Industrial Research |
contact email | igovender@csir.co.za |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/05/PXD054170 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD054170
- Label: PRIDE project
- Name: Proteomic analysis identifies dysregulated proteins in albuminuria: a South African pilot study