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




Non‐Invasive Prenatal Diagnosis of Spinal Muscular Atrophy Validated

By LabMedica International staff writers
Posted on 08 Oct 2019
Print article
Image: The RainDrop droplet digital polymerase chain reaction system (ddPCR) (Photo courtesy of RainDance Technologies).
Image: The RainDrop droplet digital polymerase chain reaction system (ddPCR) (Photo courtesy of RainDance Technologies).
The discovery of cell‐free DNA (cfDNA) in maternal plasma has enhanced the development of non‐invasive prenatal testing (NIPT). Although NIPT for fetal aneuploidies has already been clinically applied, non‐invasive prenatal diagnosis for many single‐gene disorders remains on the developing stage.

Droplet digital PCR is a technology with high sensitivity, specificity, and accuracy to detect and analyze low-abundance nucleic acids. Its high resolution is guaranteed by millions of oil droplets generated per test. Utilizing digital PCR, the feasibility of non‐invasive prenatal diagnosis (NIPD) for fetal monogenic disorders has been proved in several studies analyzing cfDNA.

Medical Geneticists at the Central South University (Changsha, China) recruited pregnant women seeking Spinal Muscular Atrophy (SMA) prenatal diagnosis on 16 ~ 22 weeks of gestation for a study. All of the pregnancies had undergone non‐invasive prenatal screening for fetal aneuploidies by next‐generation sequencing (NGS).

The scientists extracted cell‐free DNA from maternal plasma using the QIAamp Circulating Nucleic Acid Kit and the concentrations of cfDNA samples were tested on Qubit. Amniotic fluid was obtained by amniocentesis, from which fetal genomic DNA was extracted by the phenol‐chloroform method. RainDrop droplet digital PCR was performed following standard protocols. SMN1/SMN2 copy numbers of all participants and fetuses were quantified by the multiplex ligation‐dependent probe amplification (MLPA) analysis using SALSA MLPA Kit.

The team reported that the concordance rate with the results of MLPA testing of amniocyte DNA was 94.12% in one test set and 90% in another set of participants. For all tests with a classifiable result, the percent of agreement with the results of MLPA testing of amniocyte DNA was up to 100% (25/25). The authors concluded that they had developed a direct, rapid, and low‐cost technique, which has a potential to be utilized for first‐trimester non‐invasive prenatal diagnosis and screening for spinal muscular atrophy with considerable reliability and feasibility. The study was published on September 25, 2019, in the Journal of Clinical Laboratory Analysis.

Related Links:
Central South University

Gold Member
Veterinary Hematology Analyzer
Exigo H400
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Ultra-Low Temperature Freezer
iUF118-GX
New
Amoebiasis Test
ELI.H.A Amoeba

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... 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.