Evidence map›Paper›PMID 42733800›Full record

ArticleJournal of translational autoimmunity2026

Differential transcriptional and epigenetic signatures in CD4

O McClurg, J Hawkes, F Bates, A S Carvalho, C E Pain, L J McCann, C M Hedrich

Abstract read
In one paragraph

Article in Journal of translational autoimmunity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

O McClurgDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.
J HawkesDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.
F BatesAlder Hey NIHR Clinical Research Facility, United Kingdom.
A S CarvalhoDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.
C E PainDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.
L J McCannDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.
C M HedrichDepartment of Women's and Children'd Health, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Juvenile idiopathic arthritis (JIA) is the most common musculoskeletal rheumatic disease affecting children. Following the currently used International League of Associations for Rheumatology (ILAR) classification, JIA encompasses seven clinically defined subtypes all of which share chronic inflammatory arthritis as a unifying symptom. Re-classification of JIA based on molecular signatures has been proposed and promises future patient stratification based on disease mechanisms and target-directed therapeutic interventions. This study applied flow cytometric immune cell profiling alongside mRNA expression analysis (NanoString inflammation panel) and DNA methylation profiling (Illumina EPIC450K arrays) to identify molecular signatures associated with enthesitis-related arthritis (ERA) or juvenile psoriatic arthritis (jPsA) subtypes of JIA. Disctinct gene expression and DNA methylation signatures in peripheral blood CD4

Indexed as

EnthesitisERAInflammatory arthritisJIAMethylationPsoriaticTranscription

Identifiers

PMID42733800
PMCPMC13571550

What OpenQuestion holds

Textmetadata
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.