Evidence map›Paper›PMID 36396985›Full record

ArticleBMC infectious diseases2022

Borrelia multiplex: a bead-based multiplex assay for the simultaneous detection of Borrelia specific IgG/IgM class antibodies.

Julia Häring, Max J Hassenstein, Matthias Becker, Julia Ortmann, Daniel Junker, André Karch, Klaus Berger, Tatia Tchitchagua, Olaf Leschnik, Manuela Harries and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Borrelia surface proteins: new horizons in Lyme disease diagnosis.Applied microbiology and biotechnology · 2025
    Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 1 country.

Julia HäringNMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, 72770, Reutlingen, Germany.
Max J HassensteinDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Matthias BeckerNMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, 72770, Reutlingen, Germany.
Julia OrtmannDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Daniel JunkerNMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, 72770, Reutlingen, Germany.
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Tatia TchitchaguaDepartment of Neurology, Sächsisches Krankenhaus Rodewisch, Rodewisch, Germany.
Olaf LeschnikDepartment of Neurology, Sächsisches Krankenhaus Rodewisch, Rodewisch, Germany.
Manuela HarriesDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Daniela GornykDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Pilar HernándezDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Berit LangeDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Stefanie CastellDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Gérard KrauseDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Alex DulovicNMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, 72770, Reutlingen, Germany. Alex.Dulovic@nmi.de.
Monika StrengertDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Nicole Schneiderhan-MarraNMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, 72770, Reutlingen, Germany. Nicole.Schneiderhan@nmi.de.
Helmholtz Centre for Infection Research · DEUniversity of Tübingen · DESächsisches Krankenhaus Rodewisch · DEUniversity of Münster · DENatural and Medical Sciences Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLyme borreliosis (LB) is the most common tick-borne infectious disease in the northern hemisphere. The diagnosis of LB is usually made by clinical symptoms and subsequently supported by serology. In Europe, a two-step testing consisting of an enzyme-linked immunosorbent assay (ELISA) and an immunoblot is recommended. However, due to the low sensitivity of the currently available tests, antibody detection is sometimes inaccurate, especially in the early phase of infection, leading to underdiagnoses.

methodsTo improve upon Borrelia diagnostics, we developed a multiplex Borrelia immunoassay (Borrelia multiplex), which utilizes the new INTELLIFLEX platform, enabling the simultaneous dual detection of IgG and IgM antibodies, saving further time and reducing the biosample material requirement. In order to enable correct classification, the Borrelia multiplex contains eight antigens from the five human pathogenic Borrelia species known in Europe. Six antigens are known to mainly induce an IgG response and two antigens are predominant for an IgM response.

resultsTo validate the assay, we compared the Borrelia multiplex to a commercial bead-based immunoassay resulting in an overall assay sensitivity of 93.7% (95% CI 84.8-97.5%) and a specificity of 96.5% (95%CI 93.5-98.1%). To confirm the calculated sensitivity and specificity, a comparison with a conventional 2-step diagnostics was performed. With this comparison, we obtained a sensitivity of 95.2% (95% CI 84.2-99.2%) and a specificity of 93.0% (95% CI 90.6-94.7%).

conclusionBorrelia multiplex is a highly reproducible cost- and time-effective assay that enables the profiling of antibodies against several individual antigens simultaneously.

Indexed as

BorreliaLyme DiseaseAntibodies, BacterialHumansImmunoglobulin GImmunoglobulin MSerologic TestsAntibodies, BacterialImmunoglobulin GImmunoglobulin MBorreliaImmunoassayLyme borreliosisLyme DiseaseMultiplexSerology

Identifiers

PMID36396985
PMCPMC9670078
OpenAlexW4309400105

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.