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
Vicotex

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



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Neonatal Heel Incision Device
Tenderfoot
New
Fully Automated Urinalysis System
DxU 1800 Fully Automated Urinalysis System
LAIR2 Antibody Pair Set
LAIR2 Antibody Pair [Biotin]
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

Molecular Diagnostics

view channel
Image: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: A new study demonstrates that vascular features in colorectal tumors could serve as prognostic biomarkers of disease outcome. (Image Credit: iStock)

Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival

Colorectal cancer outcomes vary widely, and tumor biology remains a key determinant of prognosis. Because neoplasms depend on a vascular supply, differences in intratumoral vessels may influence survival.... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.