Consequences of the Edge Effect in a Commercial Enzyme-Linked Immunosorbent Assay for the Diagnosis of Lyme Neuroborreliosis

The diagnosis of Lyme neuroborreliosis (LNB) is based on neurological symptoms, cerebrospinal fluid (CSF) pleocytosis, and intrathecally produced -specific antibodies. In most cases, the presence of intrathecally produced -specific antibodies is determined by using an enzyme-linked immunosorbent ass...

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Veröffentlicht in:Journal of clinical microbiology 2021-07, Vol.59 (8), p.e0328020-e0328020
Hauptverfasser: van Gorkom, Tamara, van Arkel, Gijs H J, Voet, Willem, Thijsen, Steven F T, Kremer, Kristin
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Sprache:eng
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Zusammenfassung:The diagnosis of Lyme neuroborreliosis (LNB) is based on neurological symptoms, cerebrospinal fluid (CSF) pleocytosis, and intrathecally produced -specific antibodies. In most cases, the presence of intrathecally produced -specific 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 -specific antibodies in CSF and serum are measured to calculate a CSF/serum quotient, which is needed to calculate the -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 -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.
ISSN:0095-1137
1098-660X
DOI:10.1128/JCM.03280-20