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A new workflow for proteomic analysis of urinary exosomes and assessment in cystinuria patients.
Bourderioux, Matthieu; Nguyen-Khoa, Thao; Chhuon, Cerina; Jeanson, Ludovic; Tondelier, Danielle; Walczak, Marta; Ollero, Mario; Bekri, Soumeya; Knebelmann, Bertrand; Escudier, Estelle; Escudier, Bernard; Edelman, Aleksander; Guerrera, Ida Chiara.
Affiliation
  • Bourderioux M; INSERM U1151 and ‡Proteomics Platform Necker, PPN-3P5, SFR Necker, INSERM US24, Université Paris Descartes, Sorbonne Paris Cité , 75006 Paris, France.
J Proteome Res ; 14(1): 567-77, 2015 Jan 02.
Article in En | MEDLINE | ID: mdl-25365230
ABSTRACT
Cystinuria is a purely renal, rare genetic disease caused by mutations in cystine transporter genes and characterized by defective cystine reabsorption leading to kidney stones. In 14% of cases, patients undergo nephrectomy, but given the difficulty to predict the evolution of the disease, the identification of markers of kidney damage would improve the follow-up of patients with a higher risk. The aim of the present study is to develop a robust, reproducible, and noninvasive methodology for proteomic analysis of urinary exosomes using high resolution mass spectrometry. A clinical pilot study conducted on eight cystinuria patients versus 10 controls highlighted 165 proteins, of which 38 were up-regulated, that separate cystinuria patients from controls and further discriminate between severe and moderate forms of the disease. These proteins include markers of kidney injury, circulating proteins, and a neutrophil signature. Analysis of selected proteins by immunobloting, performed on six additional cystinuria patients, validated the mass spectrometry data. To our knowledge, this is the first successful proteomic study in cystinuria unmasking the potential role of inflammation in this disease. The workflow we have developed is applicable to investigate urinary exosomes in different renal diseases and to search for diagnostic/prognostic markers. Data are available via ProteomeXchange with identifier PXD001430.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Gene Expression Regulation / Cystinuria / Proteomics / Exosomes Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Gene Expression Regulation / Cystinuria / Proteomics / Exosomes Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country:
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