Evidence map›Paper›PMID 27756335›Full record

ArticleJournal of neuroinflammation2016

Cerebrospinal fluid cytokines in Lyme neuroborreliosis.

Annukka Pietikäinen, Mikael Maksimow, Tommi Kauko, Saija Hurme, Marko Salmi, Jukka Hytönen

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 58 citations in OpenAlex.

  1. Uncomplicated and Complicated Acute Appendicitis Induce Different Cytokine Patterns.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
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  12. Attenuation of relapsing fever neuroborreliosis in mice by IL-17A blockade.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  19. The predictive value of CXCL13 in suspected Lyme neuroborreliosis: a retrospective cross-sectional study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  20. Review
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

6 authors at 1 institution in 1 country.

Annukka PietikäinenDepartment of Medical Microbiology and Immunology, University of Turku, Kiinamyllynkatu 13, FI-20520, Turku, Finland. kaisa.pietikainen@utu.fi.
Mikael MaksimowDepartment of Medical Microbiology and Immunology, University of Turku, Kiinamyllynkatu 13, FI-20520, Turku, Finland.
Tommi KaukoDepartment of Biostatistics, University of Turku, Turku, Finland.
Saija HurmeDepartment of Biostatistics, University of Turku, Turku, Finland.
Marko SalmiDepartment of Medical Microbiology and Immunology, University of Turku, Kiinamyllynkatu 13, FI-20520, Turku, Finland.
Jukka HytönenDepartment of Medical Microbiology and Immunology, University of Turku, Kiinamyllynkatu 13, FI-20520, Turku, Finland.
University of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLyme neuroborreliosis (LNB) is one of the manifestations of Lyme disease. Although it is known that immune reaction of LNB patients is dominated by Th1 and Th2 responses and patients have elevated numbers of B cells in their cerebrospinal fluid (CSF), not all the cells involved in inflammation and cytokine secretion have been characterized. The current diagnostics of LNB is based on intrathecal production of antibodies. In recent years, the measurement of chemokine CXCL13 concentration from the CSF has been introduced as a new promising diagnostic tool for LNB to complement the antibody-based diagnostic methods. A few other cytokines have also been analyzed as possible diagnostic markers. However, multiplex analyses simultaneously evaluating the concentrations of a large number of different cytokines in the CSF of LNB patients have been lacking thus far. Extensive cytokine profiling CSF samples of LNB patients would also help in understanding the complex immunopathogenesis of LNB.

methodsCSF samples were analyzed from 43 LNB patients, 19 controls, 18 tick-borne encephalitis patients, and 31 multiple sclerosis patients. In addition, CSF samples from 23 LNB patients obtained after the antibiotic treatment were examined. Altogether, the concentrations of 49 different cytokines were determined from all of the samples. The concentrations of 48 different cytokines were analyzed by magnetic bead suspension array using the Bio-Plex Pro Human Cytokine 21- and 27-plex panels, and the concentration of CXCL13 was analyzed by an ELISA based method.

resultsDistinct cytokine profiles which were able to distinguish LNB patients from controls, tick-borne encephalitis patients, multiple sclerosis patients, and LNB patients treated with antibiotics were identified. LNB patients had elevated concentrations of all major T helper cell type cytokines (Th1, Th2, Th9, Th17, and Treg) in their CSF.

conclusionsDespite the great differences in the CSF cytokine profiles of different patient groups, CXCL13 still remained as the best marker for LNB. However, IL-1ra might also be helpful as a marker for the antibiotic treatment response. Concerning the immunopathogenesis, this is the first report suggesting the involvement of Th9 cells in the immune response of LNB.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCytokinesEnzyme-Linked Immunosorbent AssayFemaleHumansLyme NeuroborreliosisMaleMiddle AgedMultiple SclerosisStatistics, NonparametricYoung AdultCytokinesBorreliaCXCL13Cytokine profilingLyme diseaseNeuroborreliosis

Identifiers

PMID27756335
PMCPMC5070144
OpenAlexW2538553282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.