Abstract
Abstract Background and Aims As a severe progressive acute renal injury, crescentic glomerulonephritis requires timely pathology diagnosis and treatment. New non-invasive biomarkers will be crucial when the renal biopsy is not available or unacceptable. Urinary proteomics, specifically data-independent acquisition (DIA) proteomics, might provide some potential indicators. Method Urine proteomics examination was on patients with crescentic glomerulonephritis(n = 15), chronic glomerulonephritis (n = 15), acute kidney injury (AKI) without glomerular crescentic(n = 10), and 15 healthy controls. The crescentic glomerulonephritis group is the patients with extensive glomerular crescents over 50%. We performed LC-MS/MS analysis to identify differentially expressed proteins (DEPs), Ingenuity Pathway Analysis (IPA), and the proteome map for significant pathways and crucial proteins among patients and controls. The signature proteins were validated using enzyme-linked immunosorbent assay (ELISA) analysis. Results A total of 55 population, males occupied 45.45%, with the average age being 53 ± 13 years old. A volcano plot among crescentic glomerulonephritis and control groups is in Fig. 1. IPA analysis showed that neutrophil degranulation and complement cascade were the top two pathways in crescentic glomerulonephritis but not in the healthy and nephritis groups. The activated neddylation pathway in patients with crescentic glomerulonephritis compared with AKI patients. After integrating the DEPs among three groups via the Venn plot, we observed eight DEPs significantly associated with the crescentic glomerulonephritis, among which Coagulation factor V (F5), Phospholipid transfer protein (PLTP), and Alcohol dehydrogenase 1C (ADH1C) were significant proteins. Biomarker analysis showed the area under the curve values for predicting crescentic glomerulonephritis were 0.867, 0.851, and 0.815, respectively (P < 0.001). Conclusion Urine proteomics holds promise in identifying the crescentic glomerulonephritis patient, thus providing a potential value as a noninvasive biomarker.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have