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DOI 10.1002/prca.201000100

Медицинская библиотека · Proteomics. Clinical applications · 2011

Urinary proteomics analysis for renal injury in hypertensive disorders of pregnancy with iTRAQ labeling and LC-MS/MS.

Chen Guixiang, Zhang Yang, Jin Xiaohong, Zhang Lihong, Zhou Yunjiao, Niu Jianying, Chen Jing, Gu Yong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

PURPOSE: As a noninvasive examination, urinary proteomics is a very useful tool to identify renal disease. The purpose of the present study was to find differential proteins among women with preeclampsia, gestational hypertension and normal pregnancy, and to screen potential biomarkers for the early diagnosis of preeclampsia.

EXPERIMENTAL

DESIGN

Urinary proteins were identified by iTRAQ labeling coupled with 2-D LC-MS/MS. The bioinformatics analysis was performed with the Metacore software and the International Protein Index (IPI) and the Gene Ontology (GO) Database. The differentially expressed proteins were verified by ELISA.

RESULTS

362 nonredundant proteins were identified, 113 of which were expressed differentially between preeclampsia and normal pregnant group and 31 differential proteins among three groups. These differential proteins were associated with biological processes of blood coagulation, cell adhesion and differentiation, immune response and cytoskeleton development, etc. They interacted with each other in the network. The urinary angiotensinogen (AGT) was downregulated, which was consistent with the ELISA validation results.

CONCLUSIONS AND CLINICAL RELEVANCE: The present study found a multitude of differential proteins that might provide a clue for investigating the mechanism of proteinuria development in preeclampsia. Low urinary angiotensinogen levels were useful for identifying preeclampsia.

Для цитирования: Chen Guixiang, Zhang Yang, Jin Xiaohong, Zhang Lihong, Zhou Yunjiao, Niu Jianying, Chen Jing, Gu Yong. Urinary proteomics analysis for renal injury in hypertensive disorders of pregnancy with iTRAQ labeling and LC-MS/MS.. Proteomics. Clinical applications. 2011. DOI: 10.1002/prca.201000100.

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