Genomewide Oligonucleotide Microarray Analysis on Placentae of Pre-Eclamptic Pregnancies

Zhou, Rongrong; Zhu, Qianyong; Wang, Yahui; Ren, Yi; Zhang, Liang; Zhou, Yuxiang

doi:10.1159/000092857

Cited by 31 publications

(30 citation statements)

References 48 publications

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“…Higher methylation was also observed in some genes in the preeclampsia (Jia et al 2012). Here, we showed that the differentially expressed genes in preeclampsia placental tissues were mainly enriched in several pathways associated with pregnancy maintenance, metabolism, oxidative stress and oxidative metabolism, cell cycle regulation, embryogenesis and development, implantation, placentation and decidualization, immune modulation, and vascular function (Zhou et al 2006;Laivuori 2007;Founds et al 2009;Johansson et al 2011;Løset et al 2011;Rajakumar et al 2011;Sado et al 2011;Tsai et al 2011;Jia et al 2012;Lapaire et al 2012). We summarized the major functional categories on the differential gene expression profile between preeclampsia and normal placentas ( Table 1).…”

Section: Preeclampsia Susceptibility Genesmentioning

confidence: 82%

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The Impact of Maternal-Fetal Genetic Conflict Situations on the Pathogenesis of Preeclampsia

Kobayashi

2015

Biochem Genet

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Preeclampsia leads to maternal and perinatal morbidity and mortality. The literature in English was reviewed to summarize recent advances in understanding the global gene expression changes in the pathogenesis of preeclampsia. We identified at least eight consistently enriched categories, relating to pregnancy maintenance, metabolism, oxidative stress, cell cycle regulation, implantation, decidualization, immune modulation, and vascular function. Expression profiling in preeclampsia placenta and normal placenta revealed 140 transcripts that were significantly differentially expressed, 30 (21.4%) of which were evolved for the protection of the mother, approximately three times less than the number of genes evolved for the benefit of the fetus [110 genes (78.6%)] in preeclampsia placenta versus normal placenta. The genome-wide analysis emphasizes the dysfunctional decidualization as the main mechanism involved in the development of preeclampsia. These genetic signaling events may occur from an imbalance in the maternal-fetal genetic response in the affected placenta. This is to our knowledge the first report on the pathogenesis of preeclampsia, in which preeclampsia may occur as a genetic consequence of maternal-fetal conflict situations during the early decidualization process.

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Section: Preeclampsia Susceptibility Genesmentioning

confidence: 82%

“…This review provides a detailed overview of typical genome-wide studies that have been conducted so far on preeclamptic placental tissue samples (Zhou et al 2006;Laivuori 2007;Founds et al 2009;Johansson et al 2011;Løset et al 2011;Rajakumar et al 2011;Sado et al 2011;Tsai et al 2011;Jia et al 2012;Lapaire et al 2012).…”

Section: Review Of the Literaturementioning

confidence: 99%

The Impact of Maternal-Fetal Genetic Conflict Situations on the Pathogenesis of Preeclampsia

Kobayashi

2015

Biochem Genet

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“…Therefore, defining the gene expression of preeclamptic placentas has been the focus of numerous studies (Damiano, 2011;Ornaghi et al, 2011;Shin et al, 2011;Wang et al, 2011). To our knowledge, a number of comprehensive analyses have been conducted on the gene expression in preeclamptic placentas using DNA microarrays Pang and Xing, 2003a, 2003b, 2004Reimer et al, 2002;Sitras et al, 2009;Tsoi et al, 2003;Zhou et al, 2006). These studies revealed a substantial number of molecular players involved in the process of preeclampsia development, and helped defined the role of some of the signaling pathways involved in the pathogenesis of preeclampsia.…”

Section: Discussionmentioning

confidence: 99%

“…To date, a number of microarray studies have been conducted on placental gene expression in preeclampsia and showed that obesity-related genes, cytokine-receptor genes, and apoptosis-related genes are involved in the development of preeclampsia (Centlow et al, 2011;Gack et al, 2005;Han et al, 2006;Heikkila et al, 2005;Herse et al, 2007;Kang et al, 2011;Lee et al, 2010a;Nishizawa et al, 2007;Pang and Xing, 2003a;Reimer et al, 2002;Sitras et al, 2009;Soleymanlou et al, 2005;Tsoi et al, 2003;Zhou et al, 2006;Zhu et al, 2002). However, comparison of different studies done using DNA microarrays has shown poor overlap, and only a minority of differentially-expressed genes are thus shared between them.…”

mentioning

confidence: 99%

Identification of Differential Gene Expression Profiles in Placentas from Preeclamptic Pregnancies Versus Normal Pregnancies by DNA Microarrays

Meng

Chen

Sun

et al. 2012

OMICS: A Journal of Integrative Biology

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The purpose of this study was to perform a comprehensive analysis of gene expression profiles in placentas from preeclamptic pregnancies versus normal placentas. Placental tissues were obtained immediately after delivery from women with normal pregnancies (n = 6) and patients with preeclampsia (n = 6). The gene expression profile was assessed by oligonucleotide-based DNA microarrays and validated by quantitative real-time RT-PCR. Functional relationships and canonical pathways/networks of differentially-expressed genes were evaluated by GeneSpring Ô GX 11.0 software, and ingenuity pathways analysis (IPA). A total of 939 genes were identified that differed significantly in expression: 483 genes were upregulated and 456 genes were downregulated in preeclamptic placentas compared with normal placentas (fold change ‡ 2 and p < 0.05 by unpaired t-test corrected with Bonferroni multiple testing). The IPA revealed that the primary molecular functions of these genes are involved in cellular function and maintenance, cellular development, cell signaling, and lipid metabolism. Pathway analysis provided evidence that a number of biological pathways, including Notch, Wnt, NF-jB, and transforming growth factor-b (TGF-b) signaling pathways, were aberrantly regulated in preeclampsia. In conclusion, our microarray analysis represents a comprehensive list of placental gene expression profiles and various dysregulated signaling pathways that are altered in preeclampsia. These observations may provide the basis for developing novel predictive, diagnostic, and prognostic biomarkers of preeclampsia to improve reproductive outcomes and reduce the risk for subsequent cardiovascular disease.

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“…Although this approach has been used previously for the possible detection of new novel biomarker candidates [10,11,12,13,14,15,16,17,18,19,20], most of these studies were conducted in nonhomogenous collectives, which limited their usefulness or the conclusions that can be drawn from them.…”

Section: Introductionmentioning

confidence: 99%

Microarray Screening for Novel Preeclampsia Biomarker Candidates

Lapaire¹,

Grill²,

Lalevée³

et al. 2012

Fetal Diagn Ther

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Introduction: Our aim was to identify novel biomarker candidates for the near-term prediction of preeclampsia in a homogenous collective. In this study, we screened at the genome-wide level for gene expression in placental villous tissue from patients with severe preeclampsia in comparison to normal healthy pregnancies. Material and Methods: Total RNA was extracted from placental villous tissue from 9 preeclamptic patients and 7 normotensive controls after scheduled cesarean sections. After sample pooling, gene expression analysis was performed using six Affymetrix Human Gene 1.0 ST arrays, followed by quantitative RT-PCR and validation of selected markers in the serum of patients at the protein level. Results: In total, 896 significantly differentially expressed genes were identified (p ≤ 0.05). After restricting these to molecules present in the circulation, 9 upregulated and 5 downregulated genes were selected. Four of them (β-hCG, HTRA4, LHB1, all upregulated; and NOX4, downregulated) were validated by quantitative real-time RT-PCR. Finally, the maternal plasma protein levels of 2 of these genes (LHB and β-hCG) were confirmed to be significantly different between preeclampsia cases and controls. Discussion: We identified 14 potential new biomarker candidates for preeclampsia and validated 4 of them by quantitative RT-PCR and 2 of them with subsequent serum protein analyses. Further studies will assess the optimal marker combination for the imminent prediction of impending preeclampsia.

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Genomewide Oligonucleotide Microarray Analysis on Placentae of Pre-Eclamptic Pregnancies

Cited by 31 publications

References 48 publications

The Impact of Maternal-Fetal Genetic Conflict Situations on the Pathogenesis of Preeclampsia

The Impact of Maternal-Fetal Genetic Conflict Situations on the Pathogenesis of Preeclampsia

Identification of Differential Gene Expression Profiles in Placentas from Preeclamptic Pregnancies Versus Normal Pregnancies by DNA Microarrays

Microarray Screening for Novel Preeclampsia Biomarker Candidates

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