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
LGC Clinical Diagnostics

Download Mobile App




NanoVelcro Cell Technology Applied in Diagnosis of Pregnancy Complications

By LabMedica International staff writers
Posted on 02 Sep 2021
Print article
Image: The NanoVelcro device has been used to detect placenta accreta spectrum (PAS) disorders (Photo courtesy of University of California, Los Angeles)
Image: The NanoVelcro device has been used to detect placenta accreta spectrum (PAS) disorders (Photo courtesy of University of California, Los Angeles)
Placenta accreta spectrum (PAS) disorders, including placenta accreta, placenta increta, and placenta percreta, are the consequences of abnormal implantation, or aberrant invasion and adherence of placental trophoblasts into the uterine myometrium.

Current diagnostic modalities for PAS, including serum analytes, ultrasonography, and magnetic resonance imaging (MRI), are effective but not always conclusive, and some options are not readily available in low resource settings. Circulating trophoblast cell clusters can be used for early detection of PAS disorders.

Medical Scientists at the University of California, Los Angeles (UCLA, Los Angeles, CA, USA) and their colleagues included in a study pregnant women aged from 18 to 45 years old with singleton intrauterine pregnancies, and gestational age (GA) between 6 and 40 weeks. The team analyzed blood samples from 168 pregnant individuals, divided between those with clinically confirmed PAS, placenta previa, or normal placentation and an additional 15 healthy non-pregnant female donors served as controls.

The investigators used the a cell isolation technology called NanoVelcro Chip developed by UCLA. NanoVelcro is a nanostructure-embedded microchip designed to capture and enrich specific target cells from a mixed sample. The samples were run through NanoVelcro Chips under optimized conditions and immunostained and were imaged using the Nikon Ni fluorescence microscope (Melville, NY, USA). Trophoblast-specific gene expression in placenta tissue was performed to validate the selected trophoblast-specific gene panel.

The team discovered a uniquely high prevalence of clustered circulating trophoblasts (cTB-clusters) in PAS and subsequently optimized the device to preserve the intactness of these clusters. The feasibility study on the enumeration of cTBs and cTB-clusters from 168 pregnant women demonstrates excellent diagnostic performance for distinguishing PAS from non-PAS. The combined cTB assay achieves an Area Under ROC Curve of 0.942 (throughout gestation) and 0.924 (early gestation) for distinguishing PAS from non-PAS. Overall, single cTBs are detected in the majority of pregnant women, with a detection rate of 98%, 85%, and 86% in the groups of PAS, placenta previa, and normal placentation, respectively.

Margareta D. Pisarska, MD, an Obstetrics and Gynecology Endocrinologist and co-author of the study, said, “In maternal health and delivery, we think of having a child and having a delivery as, overall a happy, healthy event. But in situations like this, these are very difficult times to try to manage through. And if we have a plan in place, schedule the delivery, have the right members on the team on board, have all the things prepared that should lead to a more scheduled controlled delivery.”

The authors concluded that the combination of cTBs and cTB-clusters captured on the NanoVelcro Chips for detecting PAS early in gestation will enable a promising quantitative assay to serve as a noninvasive test and also as a complement to ultrasonography to improve diagnostic accuracy for PAS early in gestation. The study was published on August 3, 2021 in the journal Nature Communications.

Related Links:
Nikon
University of California, Los Angeles
Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Blood Gas and Chemistry Analysis System
Edan i500
New
Malondialdehyde HPLC Test
Malondialdehyde in Serum/Plasma – HPLC

Print article

Channels

Clinical Chemistry

view channel
Image: Professor Nicole Strittmatter (left) and first author Wei Chen stand in front of the mass spectrometer with a tissue sample (Photo courtesy of Robert Reich/TUM)

Mass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication

Speed and accuracy are essential when diagnosing diseases. Traditionally, diagnosing bacterial infections involves the labor-intensive process of isolating pathogens and cultivating bacterial cultures,... Read more

Molecular Diagnostics

view channel
Image: Health Canada has approved SPINEstat, a first-in-class diagnostic blood test for axSpA, as a Class II medical device (Photo courtesy of Augurex)

First-in-Class Diagnostic Blood Test Detects Axial Spondyloarthritis

Axial spondyloarthritis (axSpA) is a chronic inflammatory autoimmune condition that typically affects individuals during their most productive years, with symptoms often emerging before the age of 45.... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.