Peptidome analysis of amniotic fluid from pregnancies with preeclampsia.

Peptidome analysis of amniotic fluid from pregnancies with preeclampsia.
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先兆子痫妊娠羊水的肽组分析

DOI:
10.3892/mmr.2017.7582
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发表时间:
2017-11
影响因子:
3.4
通讯作者:
Jia R
Jia R
中科院分区:
医学4区
文献类型:
--
作者:
Qian Y;Zhang L;Rui C;Ding H;Mao P;Ruan H;Jia R

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子痫前期(Preeclampsia,PE)是一种严重威胁生命的复杂妊娠相关疾病,近年来已成为产科的研究热点。然而,对PE患者羊水中的肽组的研究很少。本研究使用肽组分析法对正常妊娠和PE妊娠之间的人羊水进行比较分析。离心超滤和液相色谱-串联质谱(LC-MS/MS)与同位素二甲基标记相结合,以更深入地了解蛋白质和肽组在PE发病中的作用。在超滤和LC-MS/MS之后,鉴定了352个肽。其中,观察到23种肽显著差异表达(6种下调,17种上调; P<0.05)。利用Gene Ontology和Blastp分析,鉴定了这23个肽的功能和生物学活性,并揭示其包括自噬、信号转导、受体活性、酶活性和核酸结合。此外,文献检索显示,一些已鉴定的肽,包括肌联蛋白,对PE的发病机制至关重要。本研究确定了23种肽在PE和正常妊娠的羊水中以显著不同的水平表达。在揭示缺陷和提高疾病检测率方面,全面的肽组分析比简单的生物标志物分析更有效。因此,这些分析在旨在发现疾病特异性生物标志物的应用中提供了实质性优势。
Preeclampsia (PE), a life-threatening, complicated pregnancy-associated disease, has recently become a research focus in obstetrics. However, the peptidome of the amniotic fluid in PE patients has rarely been investigated. The present study used peptidomic profiling to perform a comparative analysis of human amniotic fluid between normal and PE pregnancies. Centrifugal ultrafiltration and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was combined with isotopomeric dimethyl labels to gain a deeper understanding of the role of proteins and the peptidome in the onset of PE. Following ultrafiltration and LC-MS/MS, 352 peptides were identified. Of these, 23 peptides were observed to be significantly differentially expressed (6 downregulated and 17 upregulated; P<0.05). Using Gene Ontology and Blastp analyses, the functions and biological activities of these 23 peptides were identified and revealed to include autophagy, signal transduction, receptor activity, enzymatic activity and nucleic acid binding. In addition, a bibliographic search revealed that some of the identified peptides, including Titin, are crucial to the pathogenesis underlying PE. The present study identified 23 peptides expressed at significantly different levels in the amniotic fluid of PE and normal pregnancies. A comprehensive peptidome analysis is more efficient than a simple biomarker analysis at revealing deficiencies and improving the detection rate in diseases. These analyses therefore provide a substantial advantage in applications aimed at the discovery of disease-specific biomarkers.
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