We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Blood Test Predicts Risk of Pregnancy Complications

By LabMedica International staff writers
Posted on 19 Sep 2013
Proteins identified in the blood could be used to predict whether a woman in her first pregnancy is at increased risk of developing pre-eclampsia.

The high specificity, sensitivity, and multiplexed nature of selected reaction monitoring (SRM) has great potential as a tool for verification and validation of putative biomarkers for diseases.

An international team of scientists at the University of Manchester (UK) analyzed early pregnancy plasma samples from a prospective cohort of nulliparous women. More...
The developed a semiautomated high-performance liquid chromatography (HPLC)-based preparation workflow prior to a label free SRM approach. They used isobaric tagging to identify several potential biomarkers for pre-eclampsia (PE). Two of the proteins found were verified in 58 PE women and 42 controls.

SRM is a method in which an ion of a particular mass is selected in the first stage of a tandem mass spectrometer and an ion product of a fragmentation reaction of the precursor ion is selected in the second mass spectrometer stage for detection. The SRM data was correlated with a commercial enzyme linked immunosorbent assay (RayBiotech; Norcross, GA, USA). Two proteins, which have not previously been linked to pre-eclampsia risk, were shown to be at least as good a predictor of disease risk as the current best marker, placental growth factor. These two new potential markers are called pregnancy specific glycoprotein 5 and 9 (PSG5 and PSG9).

Richard D. Unwin , PhD, from the Center for Advanced Discovery and Experimental Therapeutics at the Manchester Biomedical Research Center and a lead author of the study, said, “What we have also done here is to develop a suite of laboratory methods which can identify and begin to validate real disease markers from patient blood samples, even before symptoms have developed, and we are hoping to continue applying these methods to other major diseases, such as diabetes, Alzheimer's disease or stroke." The study was published on July 20, 2013, in the journal Molecular and Cellular Proteomics.

Related Links:

University of Manchester
RayBiotech



Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
Online QC Software
Acusera 24•7
Automated Clinical Chemistry Analyzer
Envoy 500+
Food Allergy Screening ELISA Kit
Allerquant 14G B ELISA
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.