Evidence map›Paper›PMID 42778334›Full record

ArticleRMD open2026

Integrated serum proteomics and autoantibody analyses reveal a biomarker signature predictive of flare during biologic tapering in rheumatoid arthritis.

Francisco J Blanco, Patricia Quaranta, Pablo Domínguez-Guerrero, Valentina Calamia, Patricia Fernández-Puente, Rocío Paz-González, Vanesa Balboa-Barreiro, Diana Noriega, Laura Galindo, Belén Acasuso and 4 more

Abstract read
In one paragraph

Article in RMD open, 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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0citing papers in PubMed
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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

14 authors.

Francisco J BlancoGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.ORCID http://orcid.org/0000-0001-9821-7635
Patricia QuarantaGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Pablo Domínguez-GuerreroGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Valentina CalamiaGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Patricia Fernández-PuenteGrupo de Investigación de Reumatología y Salud (GIR-S). Departamento de Fisioterapia, Medicina y Ciencias Biomédicas, Centro Interdisciplinar de Química y Bioloxía (CICA), Universidade da Coruña (UDC), A Coruña, Spain.
Rocío Paz-GonzálezGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Vanesa Balboa-BarreiroGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Diana NoriegaGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Laura GalindoGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Belén AcasusoGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Natividad OreiroGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Ricardo RojoServicio de Inmunología, Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Lucía LouridoGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain Cristina.Ruiz.Romero@sergas.es lucia.lourido.salas@sergas.es.
Cristina Ruiz-RomeroGrupo de Investigación de Reumatología (GIR). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain Cristina.Ruiz.Romero@sergas.es lucia.lourido.salas@sergas.es.ORCID http://orcid.org/0000-0001-7649-9803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable biomarkers predicting which patients with rheumatoid arthritis (RA) can safely undergo biologic tapering are currently lacking. This study aimed to identify circulating protein biomarkers predictive of flare during biologic disease-modifying anti-rheumatic drug tapering in RA.

methodsBaseline serum samples from patients with RA in sustained remission enrolled in the Biologic Optimisation (OPTIBIO) clinical trial were analysed using a two-stage design comprising an exploratory mass spectrometry in a discovery sample subset (n=44, 22 in the optimisation arm and 22 in the control arm), followed by ELISA validation of selected protein biomarkers and anti-cytokine autoantibody profiling in the full cohort (n=194). The primary outcome was a disease flare during follow-up.

resultsDuring follow-up, disease flare occurred in 46.4% of patients in the optimisation arm and 30.9% in the control arm. Within the discovery subset of the optimisation arm, 87 proteins were differentially abundant between patients who flared and those who remained in remission. V-set immunoglobulin-domain-containing 4 (VSIG4) was validated as a biomarker associated with increased flare risk while anti-interferon-γ (anti-IFNγ) autoantibodies were also independently associated with flare. A combined model integrating VSIG4, anti-IFNγ and Disease Activity Score 28-joint count using C reactive protein improved discrimination compared with the clinical model alone (area under the curve (AUC) 0.760 vs 0.666) and showed higher sensitivity and greater potential clinical utility in decision curve analysis. In a secondary exploratory subgroup of patients with prolonged remission, predictive performance further improved (AUC 0.839).

conclusionThese findings identify a promising protein biomarker signature associated with flare during biologic tapering in RA, supporting biomarker-guided risk stratification in treatment optimisation strategies. External validation is required before clinical implementation.

Indexed as

Arthritis, RheumatoidAutoantibodiesBiological ProductsBiomarkersProteomicsAdultAntirheumatic AgentsFemaleHumansMaleMiddle AgedPrognosisRemission InductionAntirheumatic AgentsAutoantibodiesBiological ProductsBiomarkersAutoantibodiesBiomarkersRheumatoid Arthritis

Identifiers

PMID42778334
PMCPMC13630038

What Socratic holds

Textmetadata
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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 Socratic graph.