Evidence map›Paper›PMID 38038362›Full record

ArticleBrain : a journal of neurology2024

Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosis.

Maria Ban, Danila Bredikhin, Yuanhua Huang, Marc Jan Bonder, Kania Katarzyna, Amanda J Oliver, Nicola K Wilson, Paul Coupland, James Hadfield, Berthold Göttgens and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Federated single-cell QTL meta-analysis reveals novel disease mechanisms.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 5 countries.

Maria BanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.ORCID 0009-0007-8519-3276
Danila BredikhinEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
Yuanhua HuangDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Marc Jan BonderEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
Kania KatarzynaUniversity of Cambridge, CRUK Cambridge Institute, Cambridge CB2 0RE, UK.
Amanda J OliverWellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Nicola K WilsonDepartment of Haematology, University of Cambridge, Cambridge CB2 0AW, UK.
Paul CouplandUniversity of Cambridge, CRUK Cambridge Institute, Cambridge CB2 0RE, UK.
James HadfieldUniversity of Cambridge, CRUK Cambridge Institute, Cambridge CB2 0RE, UK.
Berthold GöttgensDepartment of Haematology, University of Cambridge, Cambridge CB2 0AW, UK.
Elo MadissoonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge CB10 1SD, UK.
Oliver StegleEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
Stephen SawcerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
University of Cambridge · GBEuropean Bioinformatics Institute · GBWellcome/MRC Cambridge Stem Cell Institute · GBGerman Cancer Research Center · DEUniversity Medical Center Groningen · NLWellcome Sanger Institute · GB

Funding

Blood Cancer UK 18002Medical Research Council MC_PC_17230Multiple Sclerosis SocietyWellcome Trust 206328/Z/17/Z
6 · The paper itself

Abstract

Despite the overwhelming evidence that multiple sclerosis is an autoimmune disease, relatively little is known about the precise nature of the immune dysregulation underlying the development of the disease. Reasoning that the CSF from patients might be enriched for cells relevant in pathogenesis, we have completed a high-resolution single-cell analysis of 96 732 CSF cells collected from 33 patients with multiple sclerosis (n = 48 675) and 48 patients with other neurological diseases (n = 48 057). Completing comprehensive cell type annotation, we identified a rare population of CD8+ T cells, characterized by the upregulation of inhibitory receptors, increased in patients with multiple sclerosis. Applying a Multi-Omics Factor Analysis to these single-cell data further revealed that activity in pathways responsible for controlling inflammatory and type 1 interferon responses are altered in multiple sclerosis in both T cells and myeloid cells. We also undertook a systematic search for expression quantitative trait loci in the CSF cells. Of particular interest were two expression quantitative trait loci in CD8+ T cells that were fine mapped to multiple sclerosis susceptibility variants in the viral control genes ZC3HAV1 (rs10271373) and IFITM2 (rs1059091). Further analysis suggests that these associations likely reflect genetic effects on RNA splicing and cell-type specific gene expression respectively. Collectively, our study suggests that alterations in viral control mechanisms might be important in the development of multiple sclerosis.

Indexed as

Multiple SclerosisAntiviral AgentsCD8-Positive T-LymphocytesCerebrospinal FluidHumansMembrane ProteinsUp-RegulationAntiviral AgentsIFITM2 protein, humanMembrane ProteinsCSFeQTLIFITM2multiple sclerosisscRNA-seqZC3HAV1

Identifiers

PMID38038362
PMCPMC10834244
OpenAlexW4389218169

What Socratic 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 Socratic graph.