Using an Isolated Rat Kidney Model to Identify Kidney Origin Proteins in Urine

被引：12

作者：

Jia, Lulu ^{[1
]}

Li, Xundou ^{[1
]}

Shao, Chen ^{[1
]}

Wei, Lilong ^{[1
]}

Li, Menglin ^{[1
]}

Guo, Zhengguang ^{[1
]}

Liu, Zhihong ^{[2
]}

Gao, Youhe ^{[1
]}

机构：

[1] Peking Union Med Coll, Chinese Acad Med Sci, Inst Basic Med Sci, Natl Key Lab Med Mol Biol,Dept Physiol & Pathophy, Beijing 100021, Peoples R China

[2] Nanjing Univ, Sch Med, Jinling Hosp, Res Inst Nephrol, Nanjing 210008, Jiangsu, Peoples R China

来源：

PLOS ONE | 2013年 / 8卷 / 06期

基金：

国家高技术研究发展计划(863计划);

关键词：

TARGETED PROTEOMICS; BIOMARKERS; ORTHOLOGS; PARALOGS;

D O I：

10.1371/journal.pone.0066911

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid the interference of serum proteins. It may provide better sample throughput, higher sensitivity, and specificity. Knowing which urinary proteins to target is essential. By analyzing the urine from perfused isolated rat kidneys, 990 kidney origin proteins with human analogs were identified in urine. Of these proteins, 128 were not found in normal human urine and may become biomarkers with zero background. A total of 297 proteins were not found in normal human plasma. These proteins will not be influenced by other normal organs and will be kidney specific. The levels of 33 proteins increased during perfusion with an oxygen-deficient solution compared to those perfused with oxygen. The 75 proteins in the perfusion-driven urine have a significantly increased abundance ranking compared to their ranking in normal human urine. When compared with existing candidate biomarkers, over ninety percent of the kidney origin proteins in urine identified in this study have not been examined as candidate biomarkers of kidney diseases.

引用

页数：7

共 30 条

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