Literature DB >> 21044967

Gene expression in first trimester preeclampsia placenta.

Sandra A Founds1, Lauren A Terhorst, Kirk P Conrad, W Allen Hogge, Arun Jeyabalan, Yvette P Conley.   

Abstract

BACKGROUND: The goal of this study was to further validate eight candidate genes identified in a microarray analysis of first trimester placentas in preeclampsia. MATERIAL AND
METHOD: Surplus chorionic villus sampling (CVS) specimens of 4 women subsequently diagnosed with preeclampsia (PE) and 8 control women (C) without preeclampsia analyzed previously by microarray and 24 independent additional control samples (AS) were submitted for confirmatory studies by quantitative real-time polymerase chain reaction (qRT-PCR).
RESULTS: Downregulation was significant in FSTL3 in PE as compared to C and AS (p = .04). PAEP was downregulated, but the difference was only significant between C and AS (p = .002) rather than between PE and either of the control groups. Expression levels for CFH, EPAS1, IGFBP1, MMP12, and SEMA3C were not statistically different among groups, but trends were consistent with microarray results; there was no anti-correlation. S100A8 was not measurable in all samples, probably because different probes and primers were needed.
CONCLUSIONS: This study corroborates reduced FSTL3 expression in the first trimester of preeclampsia. Nonsignificant trends in the other genes may require follow-up in studies powered for medium or medium/large effect sizes. qRT-PCR verification of the prior microarray of CVS may support the placental origins of preeclampsia hypothesis. Replication is needed for the candidate genes as potential biomarkers of susceptibility, early detection, and/or individualized care of maternal-infant preeclampsia.

Entities:  

Mesh:

Year:  2010        PMID: 21044967      PMCID: PMC3598011          DOI: 10.1177/1099800410385448

Source DB:  PubMed          Journal:  Biol Res Nurs        ISSN: 1099-8004            Impact factor:   2.522


  22 in total

Review 1.  Microarray technology applied to the complex disorder of preeclampsia.

Authors:  Sandra A Founds; Janice S Dorman; Yvette P Conley
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2008 Mar-Apr

Review 2.  Introducing systems biology for nursing science.

Authors:  Sandra A Founds
Journal:  Biol Res Nurs       Date:  2009-02-15       Impact factor: 2.522

3.  High-throughput quantitative real-time PCR.

Authors:  Zoltan P Arany
Journal:  Curr Protoc Hum Genet       Date:  2008-07

4.  Long term mortality of mothers and fathers after pre-eclampsia: population based cohort study.

Authors:  H U Irgens; L Reisaeter; L M Irgens; R T Lie
Journal:  BMJ       Date:  2001-11-24

Review 5.  WHO analysis of causes of maternal death: a systematic review.

Authors:  Khalid S Khan; Daniel Wojdyla; Lale Say; A Metin Gülmezoglu; Paul Fa Van Look
Journal:  Lancet       Date:  2006-04-01       Impact factor: 79.321

6.  Expression of glycodelin A in decidual tissue of preeclamptic, HELLP and intrauterine growth-restricted pregnancies.

Authors:  U Jeschke; C Kunert-Keil; I Mylonas; A Hammer; B Schiessl; I Lomba; C Kuhn; S Schulze; K Friese
Journal:  Virchows Arch       Date:  2005-03-09       Impact factor: 4.064

7.  A study of placental bed spiral arteries and trophoblast invasion in normal and severe pre-eclamptic pregnancies.

Authors:  J W Meekins; R Pijnenborg; M Hanssens; I R McFadyen; A van Asshe
Journal:  Br J Obstet Gynaecol       Date:  1994-08

Review 8.  The global impact of pre-eclampsia and eclampsia.

Authors:  Lelia Duley
Journal:  Semin Perinatol       Date:  2009-06       Impact factor: 3.300

9.  Cross-platform comparison of SYBR Green real-time PCR with TaqMan PCR, microarrays and other gene expression measurement technologies evaluated in the MicroArray Quality Control (MAQC) study.

Authors:  Emi Arikawa; Yanyang Sun; Jie Wang; Qiong Zhou; Baitang Ning; Stacey L Dial; Lei Guo; Jingping Yang
Journal:  BMC Genomics       Date:  2008-07-11       Impact factor: 3.969

10.  Comparison of the latest commercial short and long oligonucleotide microarray technologies.

Authors:  Aurélien de Reyniès; Daniela Geromin; Jean-Michel Cayuela; Fabien Petel; Philippe Dessen; François Sigaux; David S Rickman
Journal:  BMC Genomics       Date:  2006-03-15       Impact factor: 3.969

View more
  15 in total

1.  Gene expression of four targets in situ of the first trimester maternal-fetoplacental interface.

Authors:  Sandra A Founds; Donna B Stolz
Journal:  Tissue Cell       Date:  2019-11-06       Impact factor: 2.466

2.  Bioinformatics approach reveals evidence for impaired endometrial maturation before and during early pregnancy in women who developed preeclampsia.

Authors:  Maria B Rabaglino; Emiel D Post Uiterweer; Arun Jeyabalan; William A Hogge; Kirk P Conrad
Journal:  Hypertension       Date:  2014-11-24       Impact factor: 10.190

3.  Associating Symptom Phenotype and Genotype in Preeclampsia.

Authors:  Sandra A Founds; Eleni Tsigas; Dianxu Ren; M Michael Barmada
Journal:  Biol Res Nurs       Date:  2018-01-22       Impact factor: 2.522

4.  Variations in discovery-based preeclampsia candidate genes.

Authors:  Sandra A Founds; Haiwen Shi; Yvette P Conley; Arun Jeyabalan; James M Roberts; James Lyons-Weiler
Journal:  Clin Transl Sci       Date:  2012-05-15       Impact factor: 4.689

5.  ARID3A is required for mammalian placenta development.

Authors:  Catherine Rhee; Melissa Edwards; Christine Dang; June Harris; Mark Brown; Jonghwan Kim; Haley O Tucker
Journal:  Dev Biol       Date:  2016-12-11       Impact factor: 3.582

6.  Follistatin-like 3 across gestation in preeclampsia and uncomplicated pregnancies among lean and obese women.

Authors:  Sandra A Founds; Dianxu Ren; James M Roberts; Arun Jeyabalan; Robert W Powers
Journal:  Reprod Sci       Date:  2014-04-03       Impact factor: 3.060

Review 7.  Biomarker development for presymptomatic molecular diagnosis of preeclampsia: feasible, useful or even unnecessary?

Authors:  Sinuhe Hahn; Olav Lapaire; Nandor Gabor Than
Journal:  Expert Rev Mol Diagn       Date:  2015-03-16       Impact factor: 5.225

8.  Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia.

Authors:  Eduardo Tejera; João Bernardes; Irene Rebelo
Journal:  BMC Med Genomics       Date:  2013-11-12       Impact factor: 3.063

9.  Evaluation of current and new biomarkers in severe preeclampsia: a microarray approach reveals the VSIG4 gene as a potential blood biomarker.

Authors:  Julien Textoris; Delphine Ivorra; Amira Ben Amara; Florence Sabatier; Jean-Pierre Ménard; Hélène Heckenroth; Florence Bretelle; Jean-Louis Mege
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

10.  Developing Potential Candidates of Preclinical Preeclampsia.

Authors:  Sandra Founds; Xuemei Zeng; David Lykins; James M Roberts
Journal:  Int J Mol Sci       Date:  2015-11-13       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.