Evidence map›Paper›PMID 36536441›Full record

ArticleJournal of neuroinflammation2022

Integrated single-cell transcriptomics of cerebrospinal fluid cells in treatment-naïve multiple sclerosis.

Frederike Straeten, Jing Zhu, Anna-Lena Börsch, Baohong Zhang, Kejie Li, I-Na Lu, Catharina Gross, Michael Heming, Xiaolin Li, Rebekah Rubin and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  15. Targeting Talin1 to reprogram dendritic cell activation landscapes: A mechanistically grounded cell therapy for multiple sclerosis model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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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

14 authors at 2 institutions in 2 countries.

Frederike Straeten *Department of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Jing Zhu *Department of Research, Biogen, Cambridge, MA, USA.
Anna-Lena Börsch *Department of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Baohong ZhangDepartment of Research, Biogen, Cambridge, MA, USA.
Kejie LiDepartment of Research, Biogen, Cambridge, MA, USA.
I-Na LuDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Catharina GrossDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Michael HemingDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Xiaolin LiDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Rebekah RubinDepartment of Research, Biogen, Cambridge, MA, USA.
Zhengyu OuyangBioinfoRx., San Diego, CA, USA.
Heinz WiendlDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany.
Michael MingueneauDepartment of Research, Biogen, Cambridge, MA, USA.
Gerd Meyer Zu HörsteDepartment of Neurology with Institute of Translational Neurology, Medical Faculty, University Hospital Münster, Münster, Germany. gerd.meyerzuhoerste@ukmuenster.de.
University Hospital Münster · DEBiogen (United States) · US

Funding

Deutsche Forschungsgemeinschaft ME4050/12-1Medizinische Fakultät, Westfälische Wilhelms-Universität Münster MzH3/020/20
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic and often disabling autoimmune disease of the central nervous system (CNS). Cerebrospinal fluid (CSF) surrounds and protects the CNS. Analysis of CSF can aid the diagnosis of CNS diseases, help to identify the prognosis, and underlying mechanisms of diseases. Several recent studies have leveraged single-cell RNA-sequencing (scRNA-seq) to identify MS-associated changes in CSF cells that are considerably more altered than blood cells in MS. However, not all alterations were replicated across all studies. We therefore integrated multiple available scRNA-seq datasets of CSF cells from MS patients with early relapsing-remitting (RRMS) disease. We provide a searchable and interactive resource of this integrated analysis ( https://CSFinMS.bxgenomics.com ) facilitating diverse visualization and analysis methods without requiring computational skills. In the present joint analysis, we replicated the known expansion of B lineage and the recently described expansion of natural killer (NK) cells and some cytotoxic T cells and decrease of monocytes in the CSF in MS. The previous observation of the abundance of Th1-like Th17 effector memory cells in the CSF was not replicated. Expanded CSF B lineage cells resembled class-switched plasmablasts/-cells (e.g., SDC1/CD138, MZB1) as expected. Our integrative analysis thus validates increased cell type diversity and B cell maturation in the CSF in MS and improves accessibility of available data.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingCentral Nervous SystemCerebrospinal FluidGene Expression ProfilingHumansKiller Cells, NaturalTranscriptomeCentral nervous systemCerebrospinal fluidHumanImmunologyInteractive visualizationMultiple sclerosisSingle-cell RNA-sequencing

Identifiers

PMID36536441
PMCPMC9764586
OpenAlexW4312095305

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.