Hsu Te-Yao, Hsieh T'sang-T'ang, Yang Kuender D, Tsai Ching-Chang, Ou Chia-Yu, Cheng Bi-Hua, Wong Yi-Hsun, Hung Hsuan-Ning, Chou An-Kuo, Hsiao Chang-Chun, Lin Hao
Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan.
Taiwan J Obstet Gynecol. 2015 Oct;54(5):499-504. doi: 10.1016/j.tjog.2014.01.007.
Preeclampsia is a major cause of mortality in pregnant women but the underlying mechanism remains unclear to date. In this study, we attempted to identify candidate proteins that might be associated with preeclampsia in pregnant women by means of proteomics tools.
Differentially expressed proteins in serum samples obtained from pregnant women with severe preeclampsia (n = 8) and control participants (n = 8) were identified using two-dimensional gel electrophoresis (2-DE) followed by peptide mass fingerprinting using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS). Additional serum samples from 50 normal and 41 pregnant women with severe preeclampsia were analyzed by immunoassay for validation.
Ten protein spots were found to be upregulated significantly in women with severe preeclampsia. These protein spots had the peptide mass fingerprints matched to α1-antitrypsin, α1-microglobulin, clusterin, and haptoglobin. Immunoassays in an independent series of serum samples showed that serum α1-antitrypsin, α1-microglobulin, and clusterin levels of severe preeclampsia patients (n = 41) were significantly higher than those in the normal participants (n = 50; α1-antitrypsin 295.95 ± 50.94 mg/dL vs. 259.31 ± 33.90 mg/dL, p = 0.02; α1-microglobulin 0.029 ± 0.004 mg/mL vs. 0.020 ± 0.004 mg/mL, p < 0.0001; clusterin 77.6 ± 16.15 μg/dL vs. 67.6 ± 15.87 μg/dL, p < 0.05).
Identification of these proteins by proteomics analysis enables further understanding of the pathophysiology of preeclampsia. Further studies are warranted to investigate the role of these biomarkers in prediction of this disease.
子痫前期是孕妇死亡的主要原因,但迄今为止其潜在机制仍不清楚。在本研究中,我们试图通过蛋白质组学工具鉴定可能与孕妇子痫前期相关的候选蛋白质。
采用二维凝胶电泳(2-DE),随后使用基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF/MS)进行肽质量指纹分析,鉴定重度子痫前期孕妇(n = 8)和对照参与者(n = 8)血清样本中差异表达的蛋白质。通过免疫测定分析另外50名正常孕妇和41名重度子痫前期孕妇的血清样本进行验证。
发现10个蛋白点在重度子痫前期女性中显著上调。这些蛋白点的肽质量指纹与α1-抗胰蛋白酶、α1-微球蛋白、簇集素和触珠蛋白匹配。在独立的血清样本系列中进行的免疫测定显示,重度子痫前期患者(n = 41)的血清α1-抗胰蛋白酶、α1-微球蛋白和簇集素水平显著高于正常参与者(n = 50;α1-抗胰蛋白酶295.95±50.94mg/dL对259.31±33.90mg/dL,p = 0.02;α1-微球蛋白0.029±0.004mg/mL对0.020±0.004mg/mL,p < 0.0001;簇集素77.6±16.15μg/dL对67.6±15.87μg/dL,p < 0.05)。
通过蛋白质组学分析鉴定这些蛋白质有助于进一步了解子痫前期的病理生理学。有必要进行进一步研究以调查这些生物标志物在该疾病预测中的作用。