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Consequences of the edge effect in a commercial enzyme-linked immunosorbent assay for the diagnosis of lyme neuroborreliosis

  • Tamara Van Gorkom*
  • , Gijs H.J. van Arkel
  • , Willem Voet
  • , Steven F.T. Thijsen
  • , Kristin Kremer
  • *Corresponding author for this work
  • National Institute of Public Health and the Environment
  • Diakonessenhuis Utrecht

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
20 Downloads (Pure)

Abstract

The diagnosis of Lyme neuroborreliosis (LNB) is based on neurological symptoms, cerebrospinal fluid (CSF) pleocytosis, and intrathecally produced Borreliaspecific antibodies. In most cases, the presence of intrathecally produced Borreliaspecific antibodies is determined by using an enzyme-linked immunosorbent assay (ELISA). The edge effect is a known phenomenon in ELISAs and can negatively influence the assay reproducibility and repeatability, as well as index calculations of sample pairs which are tested in the same run. For LNB diagnostics, an index calculation is used for which the relative amounts of Borrelia-specific antibodies in CSF and serum are measured to calculate a CSF/serum quotient, which is needed to calculate the Borrelia-specific antibody index (AI). The presence of an edge effect in an ELISA used for LNB diagnostics may thus have implications. In this study, we investigated the intra-assay variation of the commercial Enzygnost Lyme link VlsE/IgG ELISA used for LNB diagnostics and showed the presence of an edge effect. Minor adaptations in the ELISA protocol decreased this effect. The adapted protocol was subsequently used to test 149 CSF-serum pairs of consecutive patients received in a routine diagnostic laboratory. By simulation, we showed that, if the standard protocol would have been used, then the edge effect for this study population could have resulted in 15 (10.1%) false-pathological and two (1.3%) false-normal Borrelia-specific IgG AIs. Thus, the observed edge effect can lead to inaccurate LNB diagnoses. Our study underlines that the edge effect should be investigated when ELISAs are implemented in routine diagnostics, as this phenomenon can occur in any ELISA.

Original languageEnglish
Article numbere03280-20
JournalJournal of Clinical Microbiology
Volume59
Issue number8
DOIs
Publication statusPublished - 19 Jul 2021
Externally publishedYes

Bibliographical note

Publisher Copyright: © 2021 van Gorkom et al.

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