Pre-eclampsia is a multifactorial disorder characterized by heterogeneous clinical manifestations. Gene expression profiling of preeclamptic placenta have provided different and even opposite results, partly due to data compromised by various experimental artefacts. Here we aimed to identify reliable pre-eclampsia-specific pathways using multiple independent microarray data sets. Gene expression data of control and preeclamptic placentas were obtained from Gene Expression Omnibus. Single-sample gene-set enrichment analysis was performed to generate gene-set activation scores of 9707 pathways obtained from the Molecular Signatures Database. Candidate pathwayswere identified by t-test-based screening using data sets, GSE10588, GSE14722 and GSE25906. Additionally, recursive feature elimination wasapplied to arrive at a further reduced set of pathways. To assess the validity of the pre-eclampsia pathways, a statistically-validated protocol was executed using five data sets including two independent other validation data sets, GSE30186, GSE44711. Quantitative real-time PCR was performed for genes in a panel of potential pre-eclampsia pathways using placentas of 20 women with normal or severe preeclamptic singleton pregnancies (n 1/4 10, respectively). Apanel of ten pathwayswere found to discriminate women with pre-eclampsia fromcontrols with high accuracy. Among thesewere pathways not previously associated with pre-eclampsia, such as theGABAreceptor pathway, as well as pathways that have already been linked to pre-eclampsia, such as the glutathione and CDKN1C pathways. mRNA expression of GABRA3 (GABA receptor pathway), GCLC and GCLM (glutathione metabolic pathway), and CDKN1C was significantly reduced in the preeclamptic placentas. In conclusion, ten accurate and reliable pre-eclampsia pathwayswere identified based on multiple independent microarray data sets. Apathway-based classification maybe a worthwhile approach to elucidate the pathogenesis of pre-eclampsia.
CITATION STYLE
Kawasaki, K., Kondoh, E., Chigusa, Y., Ujita, M., Murakami, R., Mogami, H., … Konishi, I. (2014). Reliable pre-eclampsia pathways based on multiple independent microarray data sets. Molecular Human Reproduction, 21(2), 217–224. https://doi.org/10.1093/molehr/gau096
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