Proteomic Analysis of Urinary Extracellular Vesicles Reveals a Role for the Complement System in Medullary Sponge Kidney Disease

被引:21
作者
Bruschi, Maurizio [1 ]
Granata, Simona [2 ]
Candiano, Giovanni [1 ]
Fabris, Antonia [2 ]
Petretto, Andrea [3 ]
Ghiggeri, Gian Marco [4 ]
Gambaro, Giovanni [2 ]
Zaza, Gianluigi [2 ]
机构
[1] IRCCS Ist Giannina Gaslini, Lab Mol Nephrol, I-16147 Genoa, Italy
[2] Univ Hosp Verona, Dept Med, Renal Unit, Piazzale A Stefani 1, I-37126 Verona, Italy
[3] IRCCS Ist Giannina Gaslini, Lab Mass Spectrometry Core Facil, I-16147 Genoa, Italy
[4] IRCCS Ist Giannina Gaslini, Div Nephrol Dialysis & Transplantat, I-16147 Genoa, Italy
关键词
medullary sponge kidney; idiopathic calcium nephrolithiasis; complement system; proteomics; PATTERN-RECOGNITION MOLECULES; CELL-PROLIFERATION; OSTEOPONTIN; EXOSOMES; EXPRESSION; FICOLINS; PATHWAY; BINDING; PROTEIN; LECTIN;
D O I
10.3390/ijms20215517
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Medullary sponge kidney (MSK) disease is a rare and neglected kidney condition often associated with nephrocalcinosis/nephrolithiasis and cystic anomalies in the precalyceal ducts. Little is known about the pathogenesis of this disease, so we addressed the knowledge gap using a proteomics approach. The protein content of microvesicles/exosomes isolated from urine of 15 MSK and 15 idiopathic calcium nephrolithiasis (ICN) patients was investigated by mass spectrometry, followed by weighted gene co-expression network analysis, support vector machine (SVM) learning, and partial least squares discriminant analysis (PLS-DA) to select the most discriminative proteins. Proteomic data were verified by ELISA. We identified 2998 proteins in total, 1764 (58.9%) of which were present in both vesicle types in both diseases. Among the MSK samples, only 65 (2.2%) and 137 (4.6%) proteins were exclusively found in the microvesicles and exosomes, respectively. Similarly, among the ICN samples, only 75 (2.5%) and 94 (3.1%) proteins were exclusively found in the microvesicles and exosomes, respectively. SVM learning and PLS-DA revealed a core panel of 20 proteins that distinguished extracellular vesicles representing each clinical condition with an accuracy of 100%. Among them, three exosome proteins involved in the lectin complement pathway maximized the discrimination between MSK and ICN: Ficolin 1, Mannan-binding lectin serine protease 2, and Complement component 4-binding protein beta. ELISA confirmed the proteomic results. Our data show that the complement pathway is involved in the MSK, revealing a new range of potential therapeutic targets and early diagnostic biomarkers.
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页数:15
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