{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T10:47:32Z","timestamp":1791974852610,"version":"4.4.0"},"reference-count":34,"publisher":"Institute of Physiology of the Czech Academy of Sciences","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Physiol Res"],"published-print":{"date-parts":[[2017,8,31]]},"abstract":"<jats:p>Proteinuria is often used as a surrogate marker in monitoring and predicting outcome in patients with chronic kidney diseases, but it is non-specific. IgAN belongs to the most common primary glomerulonephritis worldwide with serious prognosis. The main aim of this work was to assess differences in urine proteins in patients with IgA nephropathy and to identify abnormal proteins as potential biomarkers of IgA nephropathy or the renal disease. In our pilot project, we selected 20 patients and compared them with 20 healthy volunteers. Protein quantification was performed using iTRAQ (isobaric tag for relative and absolute quantitation) labeling method. The peptides were separated by the isoelectric focusing method (IEF) and nano-LC with C18 column and identified by mass spectrometry using MALDI-TOF\/TOF MS. Proteins\u00b4 lists obtained from IEF-LC-MS-MS\/MS analysis were combined and contained 201 proteins. It was found out that 113 proteins were common in both experiments. 30 urinary proteins were significantly up- or down-regulated in patients with IgA nephropathy. We characterized potential biomarkers such as alpha-1-antitrypsin, apolipoprotein A-I, CD44 antigen or kininogen. Potential biomarkers of IgAN should be validated in further studies.<\/jats:p>","DOI":"10.33549\/physiolres.933380","type":"journal-article","created":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T03:15:22Z","timestamp":1579144522000},"page":"621-632","source":"Crossref","is-referenced-by-count":21,"title":["Proteomic Approach for Identification of IgA Nephropathy-Related Biomarkers in Urine"],"prefix":"10.33549","author":[{"given":"P.","family":"PRIKRYL","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"VOJTOVA","sequence":"additional","affiliation":[{"name":"Institute of Clinical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"MAIXNEROVA","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"VOKURKA","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"NEPRASOVA","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.","family":"ZIMA","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"TESAR","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"19169","published-online":{"date-parts":[[2017,8,15]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","unstructured":"ALAMARTINE E, SAURON C, LAURENT B, SURY A, SEFFERT A, MARIAT C: The use of Oxford classification of IgA nephropathy to predict renal survival. 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