PXD026709 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Glomerular proteomic profiling of kidney biopsies with hypertensive nephropathy reveals a signature of disease progression |
Description | Background and Objective: Hypertensive nephropathy (HN) requires a kidney biopsy as gold-standard for its diagnosis but histological findings are not entirely specific and lack specific prognostic markers. We aimed at defining prognostic candidate markers based on glomerular protein signatures. Method: We included adult patients (n=17) with an eGFR >30 ml/min/1.73m2 and proteinuria <3g/d from the Norwegian Kidney Biopsy Registry: stable patients (n=9) and subjects with HN progression (n=8) leading to end-stage renal disease (ESRD) within 20 years of follow-up. Glomerular cross-sections were microdissected from archival kidney biopsy sections and processed for protein extraction. Proteomic analyses were performed using Q-exactive HF mass spectrometer and relative glomerular protein abundance were compared between progressive vs non-progressive patients. Results: Amongst 1870 quality filtered proteins, we identified 58 proteins with an absolute fold change (FC)>1.5, p<0.05, including 17 proteins with absolute FC >2, indicative of HN progression (highest FC: Cadherin 16 and UDP-glucuronosyl-transferase 2B7). Hierarchical cluster and principal component analysis (PCA) with the 17 proteins showed clear separation of samples into HN progressors and non-progressors. Supervised classifier analysis (K nearest neighbour) identified a set of five proteins which classified 16/17 samples correctly. Applying Geneset Enrichment Analysis (GSEA), in general metabolic pathways were enriched in progressors, and structural cell pathways enriched in non-progressors. Pathway analysis identified Epithelial Adherens Junction Signaling as the most affected canonical pathway. The signature of HN progression is different from the respective signature of IgA progression. Conclusion: Glomerular proteomic profiling can be used to discriminate progressors from non-progressors in HN. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:48:14.473.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Kenneth Finne |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-06-15 03:18:58 | ID requested | |
1 | 2023-05-23 08:28:57 | announced | |
⏵ 2 | 2023-11-14 08:48:15 | announced | 2023-11-14: Updated project metadata. |
Publication List
Mikkelsen H, Vikse BE, Eikrem O, Scherer A, Finne K, Osman T, Marti HP, Glomerular proteomic profiling of kidney biopsies with hypertensive nephropathy reveals a signature of disease progression. Hypertens Res, 46(1):144-156(2023) [pubmed] |
Keyword List
submitter keyword: Human, Microdissection, Hypertensive nephropathy, Kidney, Glomerulus, Proteomics |
Contact List
Hans Peter Marti |
contact affiliation | Renal Research Group, Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Norway |
contact email | Hans-Peter.Marti@uib.no |
lab head | |
Kenneth Finne |
contact affiliation | University of Bergen |
contact email | kenneth.finne@uib.no |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD026709
- Label: PRIDE project
- Name: Glomerular proteomic profiling of kidney biopsies with hypertensive nephropathy reveals a signature of disease progression