Evidence map›Paper›PMID 42104161›Full record

ArticleRheumatology (Oxford, England)2026

Circulatory microRNA signature distinguishing rheumatoid arthritis and psoriatic arthritis.

Órla Tynan, Megan M Hanlon, Achilleas Floudas, Siobhán Wade, Ursula Fearon, Douglas J Veale

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Órla TynanMolecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Megan M HanlonMolecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Achilleas FloudasMolecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0003-1690-5595
Siobhán WadeMolecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Ursula FearonMolecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Douglas J VealeEULAR Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St Vincent's University Hospital, Dublin, Ireland.

Funding

Centre for Arthritis and Rheumatic DiseasesHealth Research Board
6 · The paper itself

Abstract

objectivesGene regulatory microRNAs (miRNAs) have emerged as promising biomarkers and therapeutic targets in autoimmunity pathology. This study examines circulatory miRNAs as cellular biomarkers that can distinguish rheumatoid arthritis (RA) from psoriatic arthritis (PsA) to evaluate the potential implications for disease pathogenesis.

methodsRA (n = 48) and PsA (n = 49) patients and healthy controls (HC) (n = 20) were recruited and serums obtained. Multiplex analysis of serum miRNAs was performed using the FirePlex miRNA Immunology-V2 panel (FirePlex Bioworks Inc.). DNA intelligent analysis (DIANA)-mirPath and STRING software were used to predict pathways targeted by the dysregulated miRNAs.

resultsSeven miRNAs, miR-126-3p, miR-29b-3p, miR-22-3p, miR-223-3p, miR-320a, let-7e-5p and let-7g-5p, were significantly elevated in RA serum compared with PsA (all P < 0.05), in addition to HC (all P < 0.05), with high sensitivity and specificity as determined by receiver operating characteristic curve analysis. Principal component analysis and biplot analysis demonstrated differential miRNA clustering between both disease states with a dominant skew towards three specific miRNAs in RA vs PsA: miR-29b-3p, miR-22-3p and miR-223-3p. DIANA analysis and STRING visualization of this miRNA signature identified downstream target pathways including phosphoinositide 3-kinase-AKT and FoxO signalling, all importantly associated with aspects of RA pathogenesis including angiogenesis, invasion and cell death.

conclusionThis study identified three key miRNAs demonstrating differential expression levels between RA and PsA, which potentially govern downstream inflammatory pathways regulating distinct disease mechanisms. Therefore, circulating miRNAs may be valuable as non-invasive diagnostic biomarkers that can distinguish RA from PsA and may additionally assist in elucidating differential disease pathogenesis.

Indexed as

Arthritis, PsoriaticArthritis, RheumatoidCirculating MicroRNAMicroRNAsAdultBiomarkersCase-Control StudiesDiagnosis, DifferentialFemaleGene Expression ProfilingHumansMaleMiddle AgedROC CurveSensitivity and SpecificityBiomarkersCirculating MicroRNAMicroRNAsautoimmune diseasebiomarkersmiRNApsoriatic arthritisrheumatoid arthritis

Identifiers

PMID42104161
PMCPMC13275133

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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.