title: Differential placental gene expression in severe preeclampsia.
abstract: We investigated the global placental gene expression profile in severe preeclampsia. Twenty-one women were randomly selected from 50 participants with uncomplicated pregnancies to match 21 patients with severe preeclampsia. A 30K Human Genome Survey Microarray v.2.0 (Applied Biosystems) was used to evaluate the gene expression profile. After RNA isolation, five preeclamptic placentas were excluded due to poor RNA quality. The series composed of 37 hybridizations in a one-channel detection system of chemiluminescence emitted by the microarrays. An empirical Bayes analysis was applied to find differentially expressed genes. In preeclamptic placentas 213 genes were significantly (fold-change>or=2 and p<or=0.01) up-regulated and 82 were down-regulated, compared with normal placentas. Leptin (40 fold), laeverin (10 fold), different isoforms of beta-hCG (3-6 fold), endoglin (4 fold), FLT1 (3 fold) and FLT4 (2 fold) were up-regulated. PDGFD was down-regulated (2 fold). Several differentially expressed genes were associated with Alzheimer disease, angiogenesis, Notch-, TGFbeta- and VEGF-signalling pathways. Sixteen genes best discriminated preeclamptic from normal placentas. Comparison between early- (<34 weeks) and late-onset preeclampsia showed 168 differentially expressed genes with oxidative stress, inflammation, and endothelin signalling pathways mainly involved in early-onset disease. Validation of the microarray results was performed by RT-PCR, quantitative urine hCG measurement and placental histopathologic examination. In summary, placental gene expression is altered in preeclampsia and we provide a comprehensive list of the differentially expressed genes. Placental gene expression is different between early- and late-onset preeclampsia, suggesting differences in pathophysiology.
authors.affiliation: Department of Obstetrics and Gynecology, University Hospital of Northern Norway, University of Tromsø, Tromsø, Norway. vasilis.sitras@unn.no
authors.forename: V
authors.initials: V
authors.lastname: Sitras
authors.forename: R H
authors.initials: RH
authors.lastname: Paulssen
authors.forename: H
authors.initials: H
authors.lastname: Grønaas
authors.forename: J
authors.initials: J
authors.lastname: Leirvik
authors.forename: T A
authors.initials: TA
authors.lastname: Hanssen
authors.forename: A
authors.initials: A
authors.lastname: Vårtun
authors.forename: G
authors.initials: G
authors.lastname: Acharya
mesh_terms: D000328:Adult; D043925:Angiogenesis Inducing Agents / Q000378:metabolism; D006063:Chorionic Gonadotropin / Q000235:genetics; D015536:Down-Regulation; D005260:Female; D020869:Gene Expression Profiling; D018507:Gene Expression Regulation, Developmental; D006801:Humans; D020738:Leptin / Q000235:genetics; D045726:Metalloproteases / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D010298:Parity; D010920:Placenta / Q000378:metabolism*; D011225:Pre-Eclampsia / Q000235:genetics* / Q000378:metabolism; D011247:Pregnancy; D051880:Receptors, Notch / Q000235:genetics; D020133:Reverse Transcriptase Polymerase Chain Reaction; D015854:Up-Regulation
chemical_list: D043925:Angiogenesis Inducing Agents; D006063:Chorionic Gonadotropin; D020738:Leptin; D051880:Receptors, Notch; C482089:LVRN protein, human; D045726:Metalloproteases