Literature DB >> 25323968

Reliable pre-eclampsia pathways based on multiple independent microarray data sets.

Kaoru Kawasaki1, Eiji Kondoh2, Yoshitsugu Chigusa1, Mari Ujita1, Ryusuke Murakami1, Haruta Mogami1, J B Brown3, Yasushi Okuno3, Ikuo Konishi1.   

Abstract

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 pathways were identified by t-test-based screening using data sets, GSE10588, GSE14722 and GSE25906. Additionally, recursive feature elimination was applied 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 = 10, respectively). A panel of ten pathways were found to discriminate women with pre-eclampsia from controls with high accuracy. Among these were pathways not previously associated with pre-eclampsia, such as the GABA receptor 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 pathways were identified based on multiple independent microarray data sets. A pathway-based classification may be a worthwhile approach to elucidate the pathogenesis of pre-eclampsia.
© The Author 2014. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  microarray; pathway; pre-eclampsia

Mesh:

Year:  2014        PMID: 25323968     DOI: 10.1093/molehr/gau096

Source DB:  PubMed          Journal:  Mol Hum Reprod        ISSN: 1360-9947            Impact factor:   4.025


  4 in total

Review 1.  Neurodevelopmental consequences in offspring of mothers with preeclampsia during pregnancy: underlying biological mechanism via imprinting genes.

Authors:  Yoko Nomura; Rosalind M John; Anna Bugge Janssen; Charles Davey; Jackie Finik; Jessica Buthmann; Vivette Glover; Luca Lambertini
Journal:  Arch Gynecol Obstet       Date:  2017-04-05       Impact factor: 2.344

2.  Placental expression of imprinted genes varies with sampling site and mode of delivery.

Authors:  A B Janssen; S J Tunster; N Savory; A Holmes; J Beasley; S A R Parveen; R J A Penketh; R M John
Journal:  Placenta       Date:  2015-07-03       Impact factor: 3.481

3.  IFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer.

Authors:  K Abiko; N Matsumura; J Hamanishi; N Horikawa; R Murakami; K Yamaguchi; Y Yoshioka; T Baba; I Konishi; M Mandai
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

4.  Maternal cardiovascular-related single nucleotide polymorphisms, genes, and pathways associated with early-onset preeclampsia.

Authors:  Paula Benny; Kelly Yamasato; Breck Yunits; Xun Zhu; Travers Ching; Lana X Garmire; Marla J Berry; Dena Towner
Journal:  PLoS One       Date:  2019-09-26       Impact factor: 3.240

  4 in total

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