Evidence map›Paper›PMID 34907325›Full record

ArticleCommunications biology2021

Single cell analysis of spondyloarthritis regulatory T cells identifies distinct synovial gene expression patterns and clonal fates.

Davide Simone, Frank Penkava, Anna Ridley, Stephen Sansom, M Hussein Al-Mossawi, Paul Bowness

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 58 citations in OpenAlex.

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  12. Integrative mapping of human CD8Nature methods · 2025
    Article
  13. The 'TNature reviews. Rheumatology · 2025
    Review
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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

6 authors at 2 institutions in 2 countries.

Davide SimoneNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK. davide.simone@kennedy.ox.ac.uk.ORCID 0000-0002-0241-5387
Frank PenkavaNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK.ORCID 0000-0001-9163-8576
Anna RidleyNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK.
Stephen SansomKennedy Institute of Rheumatology, University of Oxford, Oxford, UK.ORCID 0000-0003-4569-8513
M Hussein Al-MossawiNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK.ORCID 0000-0002-2312-3754
Paul BownessNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK. paul.bowness@ndorms.ox.ac.uk.ORCID 0000-0003-4597-0484
Nuffield Orthopaedic Centre · GBUniversity of Oxford · GB

Funding

Department of Health
6 · The paper itself

Abstract

Regulatory T cells (Tregs) play an important role in controlling inflammation and limiting autoimmunity, but their phenotypes at inflammatory sites in human disease are poorly understood. We here analyze the single-cell transcriptome of >16,000 Tregs obtained from peripheral blood and synovial fluid of two patients with HLA-B27+ ankylosing spondylitis and three patients with psoriatic arthritis, closely related forms of inflammatory spondyloarthritis. We identify multiple Treg clusters with distinct transcriptomic profiles, including, among others, a regulatory CD8

Indexed as

Gene ExpressionAdultAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedSingle-Cell AnalysisSpondylarthritisSynovial FluidT-Lymphocytes, Regulatory

Identifiers

PMID34907325
PMCPMC8671562
OpenAlexW4226385250

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.