Comparative study on the expression of cytokine – receptor genes in normal and preeclamptic human placentas using DNA microarrays

Pang, Zhan-Jun; Xing, Fu-qi

doi:10.1515/jpm.2003.021

Cited by 32 publications

(37 citation statements)

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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%

“…The search for genes involved in the development of preeclampsia therefore needs to continue in order to better understand the events leading to preeclampsia. In addition, most previous studies addressed the molecular profile of preeclamptic pregnancies by using low-density cDNA arrays that included a limited number of genes (Gack et al, 2005;Han et al, 2006;Herse et al, 2007;Pang and Xing, 2003a;Soleymanlou et al, 2005;Tsoi et al, 2003). Therefore, the comprehensive analysis of the gene expression profile of preeclamptic pregnancies is needed to identify novel aberrant expression genes, which may represent novel molecular targets for therapeutic intervention in this disease.…”

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confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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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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“…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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“…Research of Pang and Xing [6][7][8][9] , Tsoi et al [10] , and Reimer et al [11] have shown that within the placenta from pre-eclamptic patients, microarray analysis can detect specifi c genes of signifi cance that are either up-or down-regulated compared with normal placentae. Also, Soleymanlou et al [12] highlighted a striking global gene expression similarity between 3% O 2 -treated explants, high-altitude placentae, and importantly placentae from pre-eclamptic pregnancies thus providing molecular evidence that aberrant global placental gene expression changes in pre-eclampsia may be due to reduced oxygenation.…”

mentioning

confidence: 99%

Genomewide Oligonucleotide Microarray Analysis on Placentae of Pre-Eclamptic Pregnancies

Zhou

Zhu²,

Wang³

et al. 2006

Gynecol Obstet Invest

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Objective: Human placentae from normal and pre-eclamptic pregnancies were evaluated for possible changes in gene expression by microarray analysis to uncover new clues for the research of the etiology of pre-eclampsia. Methods: Placentae from five normal pregnancies and five pregnancies complicated by pre-eclampsia were collected. mRNA levels of five pre-eclamptic placentae were examined using genome-wide 70-mer oligonucleotide microarrays (CapitalBio, Beijing, China) in comparison with the pooled control consisting of total RNA from five normotensive placentae. Results: Ninety-six genes were found consistently down- or up-regulated in at least four pre-eclamptic samples. Most of them were related to an imbalance of reactive oxygen metabolites in placenta, abnormal trophoblast invasion, disorders of lipoprotein metabolism and signal transduction, or some that have been reported to have close correlation to the pathology of pre-eclampsia. The microarray data were also confirmed by the measurement of real-time PCR. Conclusion: DNA microarray is a high throughput and time-saving method to monitor altered gene expression. The results could provide interesting clues to the etiology of pre-eclampsia and lead to further studies in a more targeted fashion.

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Comparative study on the expression of cytokine – receptor genes in normal and preeclamptic human placentas using DNA microarrays

Abstract: The up-regulation of cytokine-associated genes including interleukin and TNF (receptor) superfamily expression in placenta might be intensively related to the pathogenesis of pre-eclampsia.

Cited by 32 publications

References 33 publications

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

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

Microarray Screening for Novel Preeclampsia Biomarker Candidates

Genomewide Oligonucleotide Microarray Analysis on Placentae of Pre-Eclamptic Pregnancies

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