edoc-vmtest

Quantitative proteomic (iTRAQ) analysis of 1st trimester maternal plasma samples in pregnancies at risk for preeclampsia

Kolla, V. and Jeno, P. and Moes, S. and Lapaire, O. and Hoesli, I. and Hahn, S.. (2012) Quantitative proteomic (iTRAQ) analysis of 1st trimester maternal plasma samples in pregnancies at risk for preeclampsia. Journal of biomedicine and biotechnolgy, Vol. 2012 , 305964.

[img]
Preview
PDF - Published Version
Available under License CC BY (Attribution).

1409Kb

Official URL: http://edoc.unibas.ch/dok/A6212392

Downloads: Statistics Overview

Abstract

A current major obstacle is that no reliable screening markers exist to detect pregnancies at risk for preeclampsia. Quantitative proteomic analysis employing isobaric labelling (iTRAQ) has been suggested to be suitable for the detection of potential plasma biomarkers, a feature we recently verified in analysis of pregnancies with Down syndrome foetuses. We have now examined whether this approach could yield biomarkers to screen pregnancies at risk for preeclampsia. In our study, we used maternal plasma samples obtained at 12 weeks of gestation, six from women who subsequently developed preeclampsia and six with uncomplicated deliveries. In our analysis, we observed elevations in 10 proteins out of 64 proteins in the preeclampsia study group when compared to the healthy control group. These proteins included clusterin, fibrinogen, fibronectin, and angiotensinogen, increased levels of which are known to be associated with preeclampsia. An elevation in the immune-modulatory molecule, galectin 3 binding protein, was also noted. Our pilot study, therefore, indicates that quantitative proteomic iTRAQ analysis could be a useful tool for the detection of new preeclampsia screening markers.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedizin > Department of Biomedicine, University Hospital Basel > Prenatal Medicine (Hahn)
05 Faculty of Science > Departement Biozentrum > Former Organization Units Biozentrum > Mass Spectrometry (Jenö)
UniBasel Contributors:Jenö, Paul and Hahn, Sinuhe
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Hindawi
ISSN:1110-7243
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Related URLs:
Identification Number:
edoc DOI:
Last Modified:31 Dec 2015 10:54
Deposited On:31 Jan 2014 09:49

Repository Staff Only: item control page