ArticleScientific reports2017
Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Increased Prolylcarboxypeptidase Expression Can Serve as a Biomarker of Senescence in Culture.Molecules (Basel, Switzerland) · 2024Article
- Serum and urine metabolomic biomarkers for predicting prognosis in patients with immunoglobulin A nephropathy.Kidney research and clinical practice · 2023Article
- Omics are Getting Us Closer to Understanding IgA Nephropathy.Archivum immunologiae et therapiae experimentalis · 2023Review
- Cytoplasmic WT1 in IgA nephropathy, an indicator of poor prognosis associated with mesangial/peri-mesangial C4d.International urology and nephrology · 2023Article
- How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?Seminars in immunopathology · 2021Review
- The Clinical Significance and Potential Role of Cathepsin S in IgA Nephropathy.Frontiers in pediatrics · 2021Article
- ShcA expression in podocytes is dispensable for glomerular development but its upregulation is associated with kidney disease.American journal of translational research · 2021Article
- Comparative proteomic analysis of renal proteins from IgA nephropathy model mice and control mice.Clinical and experimental nephrology · 2020Article
- Matrix-assisted laser desorption/ionization mass spectrometry imaging to uncover protein alterations associated with the progression of IgA nephropathy.Virchows Archiv : an international journal of pathology · 2020Article
- Chronic kidney disease: a review of proteomic and metabolomic approaches to membranous glomerulonephritis, focal segmental glomerulosclerosis, and IgA nephropathy biomarkers.Proteome science · 2019Review
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Authors and funding
12 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
IgA nephropathy (IgAN) is the most prevalent among primary glomerular diseases worldwide. Although our understanding of IgAN has advanced significantly, its underlying biology and potential drug targets are still unexplored. We investigated a combinatorial approach for the analysis of IgAN-relevant -omics data, aiming at identification of novel molecular signatures of the disease. Nine published urinary proteomics datasets were collected and the reported differentially expressed proteins in IgAN vs. healthy controls were integrated into known biological pathways. Proteins participating in these pathways were subjected to multi-step assessment, including investigation of IgAN transcriptomics datasets (Nephroseq database), their reported protein-protein interactions (STRING database), kidney tissue expression (Human Protein Atlas) and literature mining. Through this process, from an initial dataset of 232 proteins significantly associated with IgAN, 20 pathways were predicted, yielding 657 proteins for further analysis. Step-wise evaluation highlighted 20 proteins of possibly high relevance to IgAN and/or kidney disease. Experimental validation of 3 predicted relevant proteins, adenylyl cyclase-associated protein 1 (CAP1), SHC-transforming protein 1 (SHC1) and prolylcarboxypeptidase (PRCP) was performed by immunostaining of human kidney sections. Collectively, this study presents an integrative procedure for -omics data exploitation, giving rise to biologically relevant results.
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