Evidence map›Paper›PMID 37930878›Full record

ArticleRheumatology (Oxford, England)2024

Micro-RNA content of circulating extracellular vesicles in early rheumatoid arthritis as biomarkers and mediators of methotrexate efficacy.

Daniel Maunder, Philip M Brown, Ben Barron-Millar, Dennis W Lendrem, Najib Naamane, Jamie Macdonald, Xiao N Wang, John D Isaacs, Amy E Anderson, Ann W Morgan and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 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
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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Daniel MaunderTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Philip M BrownTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Ben Barron-MillarTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Dennis W LendremTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Najib NaamaneTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Jamie MacdonaldTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Xiao N WangTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
John D IsaacsTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Amy E AndersonTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Ann W MorganSchool of Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-1109-624X
Rachel E CrosslandTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Sarah L MackieSchool of Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-2483-5873
Arthur G PrattTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0002-9909-8209
Newcastle University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBUniversity of Leeds · GB

Funding

Department of Health and Social CareJGW Patterson Foundation 30015.088/4of19PA/IXSMedical Research Council MR/K015346/1National Institute of Health and Care ResearchNewcastle and Leeds Biomedical Research CentresResearch into inflammatory Arthritis CEntre 22072Versus Arthritis 21156Wellcome TrustWellcome Trust R120782
6 · The paper itself

Abstract

objectivesExtracellular vesicles (EVs) are abundant in body fluids, contributing to intercellular signalling by transferring cargo that includes microRNAs (miRs)-themselves implicated in pathobiology. For the first time we evaluated the potential of EV miRs to contribute diagnostic information in early RA, predict methotrexate (MTX) efficacy or shed light on the drug's mechanism of action.

methodsSeven hundred and ninety-eight miRs isolated from serum-derived EVs of 46 patients with untreated RA, 23 with untreated polymyalgia rheumatica (PMR; inflammatory disease control group) and 12 in whom significant inflammatory disease had been excluded (non-inflammatory controls; NICs) were profiled (NanoString); the same measurements were made for RA patients after 6 months' MTX treatment. Analyses took multiple testing into account.

resultsTwenty-eight EV miRs were robustly differentially expressed between early RA (but not PMR) patients and NICs after correction for age and sex, suggesting discriminatory value. Cross-validated partial least squares-discriminant analysis also indicated the predictive potential of a distinct baseline EV miR signature with respect to MTX-induced remission at 6 months. The change in expression of 13 miRs over the course of MTX treatment differed significantly between responders and non-responders, and four of those exhibiting increased relative abundance amongst responders have known roles in regulating the pathogenic potential of synovial fibroblasts, namely miR-212-3p, miR-338-5p, miR-410-3p and miR-537.

conclusionOur data highlight the potential of serum EV miRs as diagnostic and therapeutic biomarkers, highlighting a novel potential mechanism by which MTX may exert its therapeutic effect in early RA that warrants further investigation.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiomarkersExtracellular VesiclesMethotrexateMicroRNAsAgedCase-Control StudiesFemaleHumansMaleMiddle AgedTreatment OutcomeAntirheumatic AgentsBiomarkersMethotrexateMicroRNAsbiomarkersDMARDsmicroRNArheumatoid arthritis

Identifiers

PMID37930878
PMCPMC11292053
OpenAlexW4388409277

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.