Evidence map›Paper›PMID 29801453›Full record

ArticleJournal of neuroinflammation2018

Immunophenotyping of cerebrospinal fluid cells by Chipcytometry.

Martin W Hümmert, Sascha Alvermann, Stefan Gingele, Catharina C Gross, Heinz Wiendl, Anja Mirenska, Christian Hennig, Martin Stangel

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Defining T Cell Subsets in Human Tonsils Using ChipCytometry.Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article
  7. Article
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  9. Review
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  11. 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

8 authors.

Martin W HümmertDepartment of Neurology and Department of Clinical Neuroimmunology and Neurochemistry, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Sascha AlvermannDepartment of Neurology and Department of Clinical Neuroimmunology and Neurochemistry, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Stefan GingeleDepartment of Neurology and Department of Clinical Neuroimmunology and Neurochemistry, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Catharina C GrossDepartment of Neurology, University Hospital Münster, Münster, Germany.
Heinz WiendlDepartment of Neurology, University Hospital Münster, Münster, Germany.
Anja MirenskaZellkraftwerk GmbH, Hannover, Germany.
Christian HennigZellkraftwerk GmbH, Hannover, Germany.
Martin StangelDepartment of Neurology and Department of Clinical Neuroimmunology and Neurochemistry, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. stangel.martin@mh-hannover.de.

Funding

KKNMS, Krankheitsbezogenes Kompetenznetz Multiple Sklerose, German Ministry of Education and Research (BMBF) 01FI1603AKKNMS, Krankheitsbezogenes Kompetenznetz Multiple Sklerose, German Ministry of Education and Research (BMBF) 01GI1208B
6 · The paper itself

Abstract

backgroundThe gold standard in cerebrospinal fluid (CSF) cell immunophenotyping is flow cytometry. Nevertheless, the small amount of CSF cells and the invasive character of lumbar puncture limit the spectrum of possible investigation. Chipcytometry, a modified approach to slide-based cytometry, might be a useful tool for CSF analysis due to the possibility of iterative staining, imaging, and bleaching cycles. The aim of this study was to compare flow cytometric leukocyte subset analysis with Chipcytometry comparing the percentage distribution of distinct cell populations and the T-cell CD4:CD8 ratio. Moreover, this study investigated the interpretability of chips loaded with CSF cells and examined the applicability of Chipcytometry in clinical practice.

methods375 CSF samples from 364 patients were analyzed by Chipcytometry using an automated upright microscope. Cell surface molecules were stained using fluorescence-labeled monoclonal antibodies. For cross-validation experiments, flow cytometry data of six patients were analyzed and matched with Chipcytometry data.

resultsOur experiments showed a better agreement examined by Bland-Altman analysis for samples with CSF pleocytosis than for normocellular CSF samples. Data were more consistent for B cells and CD4:CD8 ratio than for T cells and monocytes. Advantages of Chipcytometry compared to flow cytometry are that cells once fixated can be analyzed for up to 20 months with additional markers at any time. The clinical application of Chipcytometry is demonstrated by two illustrative case reports. However, the low amount of CSF cells limits the analysis of normocellular CSF samples, as in our cohort only 11.7% of respectively loaded chips had sufficient cell density for further investigation compared to 59.8% of all chips loaded with samples with elevated cell counts (≥ 5/μl). Varying centrifuge settings, tube materials and resuspension technique were not able to increase the cell yield.

conclusionIn summary, the results demonstrate the great potential of Chipcytometry of CSF cells for both scientific questions and routine diagnostic. A new chip design optimized to meet the requirements of CSF would greatly enhance the value of this method. Cross-validation results need to be confirmed in a larger cohort.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCerebrospinal FluidCytokinesEncephalitisFemaleFlow CytometryHumansImmunophenotypingMaleMiddle AgedProtein Array AnalysisYoung AdultBiomarkersCytokinesCerebrospinal fluidChipcytometryCSFFlow cytometryImmunophenotypeSlide-based cytometry

Identifiers

PMID29801453
PMCPMC5968609

What OpenQuestion holds

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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.