Evidence map›Paper›PMID 22251373›Full record

ArticleArthritis research & therapy2012

Identification and evaluation of novel synovial tissue biomarkers in rheumatoid arthritis by laser scanning cytometry.

Christiane Fueldner, Anja Mittag, Jens Knauer, Maria Biskop, Pierre Hepp, Roger Scholz, Ulf Wagner, Ulrich Sack, Frank Emmrich, Attila Tárnok and 1 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Arthritis research & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Cytokines as biomarkers in rheumatoid arthritis.Mediators of inflammation · 2014
    Review
  8. 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

11 authors at 5 institutions in 1 country.

Christiane FueldnerFraunhofer Institute for Cell Therapy and Immunology, Department of Cell Engineering/GLP, Perlickstr, 1, D-04103 Leipzig, Germany.
Anja Mittag
Jens Knauer
Maria Biskop
Pierre Hepp
Roger Scholz
Ulf Wagner
Ulrich Sack
Frank Emmrich
Attila Tárnok
Joerg Lehmann
University Hospital Leipzig · DEFraunhofer Institute for Cell Therapy and Immunology · DEFraunhofer Society · DELeipzig Heart Institute · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSuitable biomarkers are essential for therapeutic strategies in personalized medicine in terms of diagnosis as well as of prognosis. With highly specific biomarkers, it is possible, for example, to identify patients with poor prognosis, which enables early intervention and intensive treatment. The aim of this study was to identify and validate biomarkers and possible combinations for a prospective use in immunoscintigraphy, which may improve diagnosis of rheumatoid arthritis (RA) patients with consideration of inflammatory activity in the affected joints. Therefore, we tested several monoclonal antibodies (mAbs) directed against cellular-surface molecules on cells likely to be involved in the pathogenesis of RA.

methodsSynovial tissue from patients with long-standing RA (accompanied by synovitis with varying states of current activity) and patients with acute non-RA arthritis were stained for surface molecules on different cell types by using fluorochrome-labeled antibodies. Tissue analysis was done by laser scanning cytometry (LSC), and statistical evaluation, by discriminant analysis and ROC analysis.

resultsCD11b, HLA-DR, CD90, and CD64 revealed significant differences between tissues from patients with RA and acute non-RA arthritis. Especially with the expression of CD64, both patient cohorts could be discriminated with high sensitivity and specificity. RA classification was improved by simultaneously investigating the expression of two or three different surface proteins, such as HLA-DR, CD90, and CD29 in the tissue. The simultaneous analysis of CD64 together with CD304 or the combination of CD11b and CD38 was suitable for the identification of RA patients with high current activity in synovitis.

conclusionsIn this study, we showed that LSC is a novel reliable method in biomarker prevalidation in RA. Hence, identified mAbs in situ may allow their potential use in in vivo approaches. Moreover, we proved that biomarker-combination analysis resulted in better discrimination than did single-marker analysis. Combinations of these markers make a novel and reliable panel for the discrimination between RA and acute non-RA arthritis. In addition, further expedient combinations may be novel promising biomarker panels to identify current activity in synovitis in RA.

Indexed as

ADP-ribosyl Cyclase 1AdultAgedArthritisArthritis, RheumatoidBiomarkersCD11b AntigenDiagnosis, DifferentialFemaleHLA-DR AntigensHumansLaser Scanning CytometryMaleMiddle AgedNeuropilin-1Prospective StudiesADP-ribosyl Cyclase 1BiomarkersCD11b AntigenHLA-DR AntigensNeuropilin-1NRP1 protein, humanReceptors, IgG

Identifiers

PMID22251373
PMCPMC3392796
OpenAlexW2117891139

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Registered trials

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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.