Comparative proteomic analysis of renal tissue in IgA nephropathy with iTRAQ quantitative proteomics

Sui,Weiguo; Cui,Zhenzhen; Zhang,Ruohan; Xue,Wen; Ou,Minglin; Zou,Guimian; Chen,Jiejing; Dai,Yong

doi:10.3892/br.2014.318

Comparative proteomic analysis of renal tissue in IgA nephropathy with iTRAQ quantitative proteomics

Authors:
- Weiguo Sui
- Zhenzhen Cui
- Ruohan Zhang
- Wen Xue
- Minglin Ou
- Guimian Zou
- Jiejing Chen
- Yong Dai
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Affiliations: Nephrology Department of the 181st Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541002, P.R. China, Clinical Medical Research Center, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong 518020, P.R. China
Published online on: July 23, 2014 https://doi.org/10.3892/br.2014.318
Pages: 793-798

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Abstract

Immunoglobulin (Ig) A nephropathy (IgAN) is the most common form of glomerulonephritis. In clinical practice, it is difficult to monitor the repeating relapse in patients suffering from IgAN, which usually occurs within 10 years of end‑stage renal disease. In order to identify and quantify the total protein content in the renal tissue of patients with IgAN, isobaric tags for relative and absolute quantification (iTRAQ) technology was performed. iTRAQ coupled with multiple chromatographic fractionation and tandem mass spectrometry was used to analyze the total protein of normal renal tissue in IgAN and healthy patients. The individual proteins were identified by the Mascot search engine and any that were differentially expressed were monitored. A total of 574 different proteins were identified, and 287 proteins were up‑ or downregulated by >1 fold alteration in levels. The results showed that iTRAQ‑based quantitative proteomic technology for the identification and relative quantitation of the renal tissue proteome is efficiently applicable. The differential expression of the proteome profiles for IgAN patients was determined. Further studies using large cohorts of patient samples with long‑term clinical follow‑up data should be conducted to evaluate the usefulness of the pathogenesis and novel biomarker candidates of IgAN, which may develop a novel technique for the diagnosis of IgAN.

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