Differential placental gene expression in preeclampsia

Objective Candidate genes that are associated with preeclampsia have not been described fully. We conducted microarray and confirmatory quantitative real time polymerase chain reaction studies to investigate global placental gene expression in preeclampsia. Study Design RNA was extracted from placen...

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Bibliographic Details
Published in:American journal of obstetrics and gynecology 2008-11, Vol.199 (5), p.566.e1-566.e11
Main Authors: Enquobahrie, Daniel A., MD, PhD, Meller, Margaret, PhD, Rice, Kenneth, PhD, Psaty, Bruce M., MD, PhD, Siscovick, David S., MD, MPH, Williams, Michelle A., ScD
Format: Article
Language:English
Subjects:
Adult
Biological and medical sciences
Diseases of mother, fetus and pregnancy
Female
Gene Expression
global gene expression
Gynecology. Andrology. Obstetrics
Humans
Medical sciences
microarray
Microarray Analysis
Obstetrics and Gynecology
placenta
Placenta - chemistry
Pre-Eclampsia - genetics
preeclampsia
Pregnancy
Pregnancy. Fetus. Placenta
RNA - analysis
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Summary:Objective Candidate genes that are associated with preeclampsia have not been described fully. We conducted microarray and confirmatory quantitative real time polymerase chain reaction studies to investigate global placental gene expression in preeclampsia. Study Design RNA was extracted from placental samples that were collected from 18 preeclampsia cases and 18 normotensive control subjects. Oligonucleotide probes that represented 22,000 genes were used to measure gene expression in each sample. Differential gene expression was evaluated with the Student t test, fold change assessment, and significance analysis of microarrays. Functions and functional relationships of differentially expressed genes were evaluated. Results Genes (n = 58) that participated in immune system, inflammation, oxidative stress, signaling, growth, and development pathways were expressed differentially in preeclampsia. These genes included previously described candidate genes (such as leptin), potential candidate genes with related functions (such as CYP11A) and novel genes (such as CDKN1C). Conclusion Expression of genes (both candidate and novel) with diverse functions is associated with preeclampsia risk, which reflects the complex pathogenesis.
ISSN:0002-9378
1097-6868
DOI:10.1016/j.ajog.2008.04.020