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. 2011 Jan;204(1):84.e1-27.
doi: 10.1016/j.ajog.2010.08.043.

A transcriptional profile of the decidua in preeclampsia

Affiliations

A transcriptional profile of the decidua in preeclampsia

Mari Løset et al. Am J Obstet Gynecol. 2011 Jan.

Abstract

Objective: We sought to obtain insight into possible mechanisms underlying preeclampsia using genomewide transcriptional profiling in decidua basalis.

Study design: Genomewide transcriptional profiling was performed on decidua basalis tissue from preeclamptic (n = 37) and normal (n = 58) pregnancies. Differentially expressed genes were identified and merged into canonical pathways and networks.

Results: Of the 26,504 expressed transcripts detected, 455 were differentially expressed (P < .05; false discovery rate, P < .1). Both novel (ARL5B, SLITRK4) and previously reported preeclampsia-associated (PLA2G7, HMOX1) genes were identified. Pathway analysis revealed that tryptophan metabolism, endoplasmic reticulum stress, linoleic acid metabolism, notch signaling, fatty acid metabolism, arachidonic acid metabolism, and NRF2-mediated oxidative stress response were overrepresented canonical pathways.

Conclusion: In the present study single genes, canonical pathways, and gene-gene networks that are likely to play an important role in the pathogenesis of preeclampsia have been identified. Future functional studies are needed to accomplish a greater understanding of the mechanisms involved.

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Figures

FIGURE I
FIGURE I
The Ingenuity Pathway Analysis (Ingenuity Systems, www.ingenuity.com) generated gene/gene product interaction network of preeclampsia correlated genes. Genes or gene products are represented as nodes, and the biological relationship between two nodes is represented as an edge (line). All edges are supported by at least one published reference. Solid edges represent a direct relationship and dashed edges represent an indirect relationship. Node color represents the correlation of expression level with preeclampsia, and the color intensity indicates the degree of correlation (red is positive and green negative). The shape of each node represents the functional class of the gene product, as shown in the key.

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