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
ZeptoMetrix an Antylia scientific company

Download Mobile App




Three Commercial Tests for Lyme Borreliosis Evaluated

By LabMedica International staff writers
Posted on 15 Aug 2017
The recommended approach for the diagnosis of Lyme borreliosis consists of screening for Borrelia-specific serum antibodies with an enzyme-linked immunosorbent assay (ELISA), followed by immunoblot confirmation of equivocal or positive ELISA results.

The reliability of the serodiagnosis of Lyme borreliosis is influenced by various factors, including the manifestation and the duration of disease, the natural clearance of infection, antibiotic treatment, (age-specific) seroprevalence and the test characteristics, such as the antigens used.

A team of scientists led by those at the Diakonessenhuis Hospital (Utrecht, The Netherlands) investigated the diagnostic characteristics of two enzyme-linked immunosorbent assays (ELISAs) and an immunoblot for the detection of Borrelia-specific serum antibodies using different test strategies in individuals with and without antibiotic treatment for Lyme borreliosis. More...
The retrospective study included 174 healthy individuals, of whom 27 (15.5%) were treated for Lyme borreliosis in the past, 36 patients were treated for Lyme neuroborreliosis and 27 patients had active Lyme neuroborreliosis For inclusion in the study, intrathecal IgM/IgG was determined by the second-generation IDEIA Lyme Neuroborreliosis test.

Serum samples of all study subjects were tested in two ELISAs and one immunoblot. All tests were performed using an automated Dynex DS2 ELISA instrument. The two ELISAs used were the C6 ELISA, which is based on a synthetic C6 peptide, which is derived from a highly immunogenic part (invariable region 6) of the VlsE lipoprotein and the SERION ELISA classic Borrelia IgM and IgG tests.

The team reported that all the active Lyme neuroborreliosis patients were reactive in both ELISAs (100% sensitivity); less reactivity was seen in the other three groups (range 17.7% to 69.4%). The concordance between the ELISA results was high in active Lyme neuroborreliosis patients (26/27; 96.3%) and healthy individuals (131/147; 89.1%), but lower in treated healthy individuals (18/27; 66.7%) and treated Lyme neuroborreliosis patients (18/36; 50.0%). They also showed that antibiotic treatment against Lyme borreliosis was strongly associated with discordant ELISA and test strategy results. This suggests that antibiotic treatment influences the pace at which the various antibodies directed to the different antigens used in both ELISAs wane.

The authors concluded that among treated neuroborreliosis patients, the SERION ELISA stayed positive for a longer period after infection compared to the C6 ELISA and this should be taken into consideration when requesting and/or interpreting Lyme serology. The study was published on July 26, 2017, in the European Journal of Clinical Microbiology & Infectious Diseases.


Gold Member
Chagas Disease Test
CHAGAS Cassette
Verification Panels for Assay Development & QC
Seroconversion Panels
New
FOB+Transferrin+Calprotectin+Lactoferrin Test
CerTest FOB+Transferrin+Calprotectin+Lactoferrin Combo Test
New
Unstirred Waterbath
HumAqua 5
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

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

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.