Dataset Information

Proteomes of Placenta from Pregnant Women with Intrahepatic Cholestasis of Pregnancy

ABSTRACT: The iTRAQ analysis combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to separate differentially expressed placental proteins from 4 pregnant women with ICP and 4 healthy pregnant women.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Placenta

SUBMITTER: Ruirui Dong

LAB HEAD: Ting Zhang

PROVIDER: PXD028734 | Pride | 2021-09-24

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	checksum.txt	Txt
	placenta-ZhangTing-iTRAQ8plex-240ug-205min-1-2.raw	Raw
	placenta-ZhangTing-iTRAQ8plex-240ug-205min-11-12.raw	Raw
	placenta-ZhangTing-iTRAQ8plex-240ug-205min-13-14.raw	Raw
	placenta-ZhangTing-iTRAQ8plex-240ug-205min-15-16.raw	Raw

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Publications

Comparative proteomics analysis of placenta from pregnant women with intrahepatic cholestasis of pregnancy.

Zhang Ting T Guo Yueshuai Y Guo Xuejiang X Zhou Tao T Chen Daozhen D Xiang Jingying J Zhou Zuomin Z

PloS one 20131231 12

<h4>Introduction</h4>Intrahepatic cholestasis of pregnancy (ICP) usually occurs in the third trimester and associated with increased risks in fetal complications. Currently, the exact cause of this disease is unknown. In this study we aim to investigate the potential proteins in placenta, which may participate in the molecular mechanisms of ICP-related fetal complications using iTRAQ-based proteomics approach.<h4>Methods</h4>The iTRAQ analysis combined with liquid chromatography-tandem mass spec ...[more]

PMID: 24391750

Similar Datasets

Project description:<p><strong>OBJECTIVE:</strong> Intrahepatic cholestasis of pregnancy (ICP) is associated with an increased risk of adverse pregnancy outcomes to the mother and fetus. As yet, the metabolic profiles and the association of the clinical features remain obscure.</p><p><strong>METHODS:</strong> Fifty seven healthy pregnant women and 52 patients with ICP were recruited in this study. Plasma samples were obtained from pregnancies who received prenatal care between the 30-36 weeks. Untargeted metabolomics to portray metabolic profiles were performed by LC/MS. Mul- combined with univariate data analysis and statistical analysis were performed to select differential metabolites between ICP and control group. Debiased sparse partial correlation (DSPC) network analysis of differential metabolites was performed to explore the potential mutual regulation among metabolites on the basis of de-sparsified graphical lasso modeling procedure. Pathway analysis was performed using MetaboAnalyst. Linear regression and Pearson correlation analysis were applied to analyze correlations associated with bile acid levels, metabolites, newborn weight and pregnancy outcome in ICP patients.</p><p><strong>RESULTS:</strong> Conspicuous metabolic changes and choreographed metabolic profiles were disclosed: 125 annotated metabolites and eighteen metabolic pathways were disturbed in ICP patients. DSPC networks indicated dense interactions among amino acids and their derivatives, bile acids, carbohydrates and organic acids. The levels of total bile acid were increased in ICP patients with meconium-stained amniotic fluid compared with those without MSAF. Abnormal tryptophan metabolism, elevated long chain saturated fatty acid and estrone sulfate levels, and low antioxidant capacity were relevant to increasing bile acid levels. Correlation analysis showed that newborn body weights were significant correlated with the levels of several bile acids and some metabolites of amino acids.</p><p><strong>CONCLUSION:</strong> The ICP patient showed metabolic disorder, and the levels of a number of metabolites were correlated with TBA levels and neonatal body weights. These results provide us important information to further understand the metabolic characteristics of patients with ICP and adverse pregnancy outcomes.</p>