Evidence map›Paper›PMID 41924283›Full record

Observational studyFrontiers in immunology2026

Plasma miR-134-5p: a candidate biomarker for predicting non-response to anti-TNF therapy in rheumatoid arthritis.

Arkaitz Mucientes, José Manuel Lisbona-Montañez, Patricia Ruiz-Limón, Rocío Bautista, Diego Lozano-Peral, Sara Manrique-Arija, Aimara García-Studer, Fernando Ortiz-Márquez, Natalia Mena-Vázquez, Antonio Fernández-Nebro

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 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

10 authors.

Arkaitz Mucientes *Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
José Manuel Lisbona-Montañez *Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Patricia Ruiz-LimónInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Rocío BautistaUnidad de Bioinformática, Centro de Supercomputación y Bioinnovación (SCBI), Universidad de Málaga, Málaga, Spain.
Diego Lozano-PeralServicios Centrales de Apoyo a la Investigación (SCAI), Universidad de Málaga, Málaga, Spain.
Sara Manrique-ArijaInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Aimara García-StuderInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Fernando Ortiz-MárquezInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Natalia Mena-VázquezInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.
Antonio Fernández-NebroInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma, BIONAND, Málaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tumour necrosis factor inhibitors (anti-TNF agents) are a milestone in rheumatoid arthritis (RA) management, although 20-40% of RA patients do not achieve clinical remission. Identifying reliable biomarkers to predict the therapeutic response to anti-TNF agents remains an unmet clinical need. Methods: This study aimed to identify and validate plasma microRNAs (miRNAs) as biomarkers of response to anti-TNF treatment. A two-stage prospective observational (discovery and validation) study was performed. The study population comprised anti-TNF-naïve RA patients and sex- and age-matched healthy controls (HC). Whole miRNA expression was assessed using the Illumina NextSeq 550 platform, followed by bioinformatic analysis. Differentially expressed miRNAs identified in the discovery phase were quantified using real-time quantitative PCR in the validation cohort. Logistic regression analysis assessed associations between miRNA expression and response to anti-TNF treatment. Results: A total of 94 participants were included: 70 anti-TNF-naïve RA patients (discovery n = 28; validation n = 42) and 24 healthy controls (14 and 10, respectively). Clinical response at week 24 was defined as DAS28-CRP < 3.2 (responders) versus DAS28-CRP ≥ 3.2 (non-responders). Non-responders were characterised by higher inflammatory activity, poorer HAQ scores, and a higher prevalence of smoking. Forty-five miRNAs were differentially expressed between RA patients and HC, and 9 were expressed between responders and non-responders ( Conclusion: miR-134-5p may serve as a predictive biomarker of poor response to anti-TNF therapy in RA.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidMicroRNAsTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAdultBiomarkersFemaleHumansMaleMiddle AgedProspective StudiesTreatment OutcomeAntirheumatic AgentsBiomarkersMicroRNAsMIRN134 microRNA, humanTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitorsanti-TNFbiomarkerinflammatory activitymiRNArheumatoid arthritis

Identifiers

PMID41924283
PMCPMC13036163

What Socratic holds

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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 Socratic graph.