Serum peptidome profiling for identifying pathological patterns in patients with primary nephrotic syndrome  被引量:7

Serum peptidome profiling for identifying pathological patterns in patients with primary nephrotic syndrome

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作  者:HUANG Lan-ting WEN Qiong ZHAO Ming-zhe LI Zhi-bin LUO Ning WANG Yong-tao DONG Xiu-qing YU Xue-qing 

机构地区:[1]Department of Nephrology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China

出  处:《Chinese Medical Journal》2012年第24期4418-4423,共6页中华医学杂志(英文版)

基  金:This work was supported by gran'ts from the National Science Fund for Distinguished Young Scholars of China (No. 30925019), the National Natural Science Foundation of China (No. 30871166), and the Key Clinical Research Program, Ministry of Health, China (2007).

摘  要:Background Renal biopsy is necessary for diagnosing the pathological changes of primary nephrotic syndrome (NS). However, it is invasive, time-consuming and can not be performed frequent on the same patient. Thus, development of a non-invasive and rapid diagnostic method may improve clinical patient management. Methods Proteomic tool magnetic bead-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MB-based MALDI TOF MS) was applied to serum to determine peptidome patterns that are characteristic of different pathological changes. Results Serum specimen from 114 patients with NS (62 were minimal change disease (MCD), 30 were membranous nephropathy (MN), and 22 were focal segmental glomerulosclerosis (FSGS)) and 60 normal individuals were analyzed using MB-based MALDI TOF MS. The peptidome pattern was generated by genetic algorithms using a training set of 31 MCD, 15 MN, 11 FSGS and 30 normal individuals and was validated by an independent testing set of the remaining samples. The serum peptidome pattern, based on a panel of 14 peaks, accurately recognized samples from MCD, MN, FSGS and healthy control with sensitivities of 93.5%, 86.7%, 63.6% and 90.0%, and specificities of 98.2%, 94.4%, 100% and 89.5%, respectively. Moreover, one peptide from peptidome pattern was identified by liquid chromatography tandem mass spectrometry (LC MS/MS) as fibrinogen A. Conclusion Detection of the serum peptidome pattern is a rapid, non-invasive, high-throughout, and reproducible method for identifying the pathological patterns of patients with nephrotic syndrome.Background Renal biopsy is necessary for diagnosing the pathological changes of primary nephrotic syndrome (NS). However, it is invasive, time-consuming and can not be performed frequent on the same patient. Thus, development of a non-invasive and rapid diagnostic method may improve clinical patient management. Methods Proteomic tool magnetic bead-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MB-based MALDI TOF MS) was applied to serum to determine peptidome patterns that are characteristic of different pathological changes. Results Serum specimen from 114 patients with NS (62 were minimal change disease (MCD), 30 were membranous nephropathy (MN), and 22 were focal segmental glomerulosclerosis (FSGS)) and 60 normal individuals were analyzed using MB-based MALDI TOF MS. The peptidome pattern was generated by genetic algorithms using a training set of 31 MCD, 15 MN, 11 FSGS and 30 normal individuals and was validated by an independent testing set of the remaining samples. The serum peptidome pattern, based on a panel of 14 peaks, accurately recognized samples from MCD, MN, FSGS and healthy control with sensitivities of 93.5%, 86.7%, 63.6% and 90.0%, and specificities of 98.2%, 94.4%, 100% and 89.5%, respectively. Moreover, one peptide from peptidome pattern was identified by liquid chromatography tandem mass spectrometry (LC MS/MS) as fibrinogen A. Conclusion Detection of the serum peptidome pattern is a rapid, non-invasive, high-throughout, and reproducible method for identifying the pathological patterns of patients with nephrotic syndrome.

关 键 词:nephrotic syndrome SERUM matrix-assisted laser desorption/ionization time-of-flight mass spectrometry  diagnostic model 

分 类 号:S858.28[农业科学—临床兽医学] S512.1[农业科学—兽医学]

 

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