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




Images Evaluated for CSF Electrophoresis of IgG Bands

By LabMedica International staff writers
Posted on 02 Jan 2018
Multiple sclerosis (MS) involves inflammatory lesions of white matter in the central nervous system (CNS) that spread over time. More...
In MS immune reactions lead to intrathecal synthesis of specific immunoglobulins (IgGs) that can be detected in biological fluid samples both quantitatively and qualitatively by isoelectric focusing of supplementary oligoclonal IgG bands.

The detection of oligoclonal bands (OCBs) in cerebral spinal fluid (CSF) by isoelectric focusing (IEF) is a common diagnostic tool. Chromogenic staining of immunoblots facilitates detection. The higher the concentration of the IgG bands, the greater the intensity of the colors and the more readable the profile, makes interpretation easier.

Scientists at the Faculty of Medicine et de Maieutique (Lille, France) performed IgG isoelectric focusing on agarose gel and immunoblot membrane (10 cm × 8 cm). A simple tool, using the MATLAB application, to facilitate and improve isoelectric focusing profile analysis was evaluated in terms of its sensitivity, repeatability and reproducibility. A comparison between human readers and semi-automatic method was also been performed. IgG concentrations in cerebrospinal fluid generally range from 20 mg/L to 45 mg/L.

The team found that results from the semi-automatic method were found to be equivalent or superior to generally employed laboratory methods. Repeatability analysis for semi-automatic processing yielded coefficients of variation (CVs) in the 3%–7% range, and using a sample with an estimated IgG concentration of 200 mg/L, four bands were still visible after dilution to 5 mg/L, corresponding to band concentrations of 1.1mg/L–1.6 mg/L. They also found that discordances between visual inspection and automatic analysis only appear at threshold levels for interpretation (the gray zone).

The comparison between visual reading and automatic reading was: 24/31 profiles were concordant, four visually oligoclonal profiles were said to be non-oligoclonal by the automatic inspection and three visually non-oligoclonal profiles were said to be oligoclonal by the automatic method. The semi-automatic method has acceptable performance for routine implementation. The study was available online on November 10, 2017, in the journal Practical Laboratory Medicine.

Related Links:
Faculty of Medicine et de Maieutique


Gold Member
Fully Automated Cell Density/Viability Analyzer
BioProfile FAST CDV
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Cytomegalovirus Test
NovaLisa Cytomegalovirus (CMV) IgG Test
New
TRAcP 5b Assay
TRAcP 5b (BoneTRAP) Assay
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

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

Pathology

view channel
Image: Schematic diagram of multimodal single-cell MSI using tapping-mode scanning probe electrospray ionization (Photo courtesy of Yoichi Otsuka)

New Technology Improves Understanding of Complex Biological Samples

Tissues are composed of a complex mixture of various cell types, which complicates our understanding of their biological roles and the study of diseases. Now, a multi-institutional team of researchers... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.