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Proteome analysis reveals elevated serum levels of clusterin in patients with preeclampsia
Author(s) -
Watanabe Hideki,
Hamada Hiromi,
Yamada Naoki,
Sohda Satoshi,
YamakawaKobayashi Kimiko,
Yoshikawa Hiroyuki,
Arinami Tadao
Publication year - 2004
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200300565
Subject(s) - clusterin , preeclampsia , proteome , western blot , proteomics , peptide mass fingerprinting , pathophysiology , medicine , immunoassay , pregnancy , andrology , endocrinology , immunology , chemistry , biology , bioinformatics , biochemistry , antibody , apoptosis , gene , genetics
Preeclampsia is a pregnancy‐specific syndrome and a major cause of maternal mortality. The pathophysiology of preeclampsia is unknown, and no proteome analysis of preeclampsia has been reported. We sought to identify proteins associated with preeclampsia using a proteomic technique and performed two‐dimensional electrophoresis (2‐DE) on sera from six patients with preeclampsia and six normal pregnant women, followed by comparison of the SYPRO Ruby‐stained 2‐DE profiles. A group of overexpressed spots was identified in the limited study set. Overexpressed spots were identified as clusterin by matrix‐assisted laser desorption/ionization‐time of flight‐mass spectrometry (MALDI‐TOF‐MS) followed by peptide mass fingerprinting, a protein database search, and Western blot analysis. Additionally, sera of 80 preeclamptic women and 80 normal pregnant women were processed by immunoassay methods to confirm changes in clusterin concentrations quantitatively. Immunoassays showed that clusterin levels in the 80 preeclamptic women were significantly higher than those in the 80 controls (mean ± SD; 1.62 ± 0.46 times reference level in preeclamptic women vs. 1.30 ± 0.46 times reference level in controls, P < 0.001). Proteomic analysis of serum proteins is a promising tool for studying preeclampsia pathophysiology and identifying proteins associated with preeclampsia.