Evidence map›Paper›PMID 34868079›Full record

ArticleFrontiers in immunology2021

A Serum Biomarker Panel of exomiR-451a, exomiR-25-3p and Soluble TWEAK for Early Diagnosis of Rheumatoid Arthritis.

Samantha Rodríguez-Muguruza, Antonio Altuna-Coy, Sonia Castro-Oreiro, Maria José Poveda-Elices, Ramon Fontova-Garrofé, Matilde R Chacón

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  5. Kirenol relieves rheumatoid arthritis by targeting the TWEAK/Fn14 pathway.International journal of molecular medicine · 2025
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  6. Expression and significance ofBiomarkers in medicine · 2025
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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 3 institutions in 1 country.

Samantha Rodríguez-MuguruzaDisease Biomarkers and Molecular Mechanisms Group, Institut D'investigaciò Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Antonio Altuna-CoyDisease Biomarkers and Molecular Mechanisms Group, Institut D'investigaciò Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Sonia Castro-OreiroRheumatology Section, Joan XXIII University Hospital, Tarragona, Spain.
Maria José Poveda-ElicesRheumatology Section, Joan XXIII University Hospital, Tarragona, Spain.
Ramon Fontova-GarroféDisease Biomarkers and Molecular Mechanisms Group, Institut D'investigaciò Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Matilde R ChacónDisease Biomarkers and Molecular Mechanisms Group, Institut D'investigaciò Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Hospital Universitari Joan XXIII de Tarragona · ESInstitut d'Investigació Sanitària Pere Virgili · ESUniversidad Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The etiology of rheumatoid arthritis (RA) remains poorly understood. Early and accurate diagnosis still difficult to achieve. Inflammatory related molecules released into the circulation such cytokines and exosome-derived microRNAs (exomiRNAs) could be good candidates for early diagnosis of autoimmune diseases. We sought to discover a serum biomarker panel for the early detection of RA based on exomiRNAs and inflammatory markers. Methods: A 179 miRNAs-microarray panel was analyzed in a pilot study (4 early RA and 4 controls). Validation of deregulated exomiRNAs was performed in a larger cohort (24 patients with early RA and 24 controls). miRNet software was used to predict exomiRNA gene-targets interactions. Potentially altered pathways were analyzed by Reactome pathway database search. STRING database was used to predict protein-protein interaction networks. Enzyme-linked immunosorbent assay was used to measure serum levels of sTWEAK and sCD163. Signature biomarker candidates were statistical analyzed. Results: We detected 11 differentially expressed exomiRNAs in early RA pilot study. Validation analysis revealed that 6/11 exomiRNAs showed strong agreement with the pilot microarray data (exomiR-144-3p, -25-3p, -15a-5p, -451a, -107 and -185-5p). sTWEAK and sCD163 biomarkers were significantly elevated in the serum of patients with early RA. Receiver operating characteristic (ROC) analysis showed that the best panel to diagnose early RA contained exomiR-451a, exomiR-25-3p and sTWEAK, and could correctly classify 95.6% of patients, with an area under the ROC curve of 0.983 and with 100% specificity and 85.7% sensitivity. The Conclusion: A novel serum biomarker panel composed of exomiR-451a, exomiR-25-3p and serum levels of sTWEAK may have use in the early clinical diagnosis of RA. A new predicted exomiRNA-target gene

Indexed as

AdultArthritis, RheumatoidBiomarkersCase-Control StudiesCytokine TWEAKEarly DiagnosisEnzyme-Linked Immunosorbent AssayExosomesFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedOligonucleotide Array Sequence AnalysisPilot ProjectsBiomarkersCytokine TWEAKMicroRNAsMIRN25 microRNA, humanMIRN451 microRNA, humanTNFSF12 protein, humanearly rheumatoid arthritisexomiRNAsexosomessCD163sTWEAK

Identifiers

PMID34868079
PMCPMC8636106
OpenAlexW3212659805

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.