Evidence map›Paper›PMID 39925810›Full record

ArticleFrontiers in immunology2025

Evaluation of B cell related markers and autoantibodies in rheumatoid arthritis patients treated with abatacept.

Ting Wang, Natalia V Giltiay, Christian Lood, Ning Wang, Bobby Kwanghoon Han

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Ting WangDivision of Rheumatology, University of Washington, Seattle, WA, United States.
Natalia V GiltiayDivision of Rheumatology, University of Washington, Seattle, WA, United States.
Christian LoodDivision of Rheumatology, University of Washington, Seattle, WA, United States.
Ning WangDivision of Rheumatology, University of Washington, Seattle, WA, United States.
Bobby Kwanghoon HanDivision of Rheumatology, University of Washington, Seattle, WA, United States.

Funding

Role of B cell activating factor (BAFF) in B cell responses and autoimmunityR01AI044257 · NIAID · UNIVERSITY OF WASHINGTON · PI GILTIAY, NATALIA V · 1999 to 2020
$3.7M
NIAID NIH HHS R01 AI044257
6 · The paper itself

Abstract

Objectives: To investigate whether biomarkers related to B cell activation and autoantibody production are associated with the response to abatacept in rheumatoid arthritis (RA) patients. Methods: Twenty-five patients with RA were enrolled in this study. Responders (n=10) to abatacept were subjects who achieved ACR50 response at week 24. Serum levels of soluble biomarkers were measured with ProcartaPlex by Luminex or ELISA. Peripheral blood mononuclear cells were isolated and analysed for T cell and B cell subsets by flow cytometry. Patients were genotyped for human leukocyte antigen (HLA)-DRB1 shared epitope (SE) alleles. Baseline levels and longitudinal changes of markers were assessed between responders and nonresponders. Results: Baseline levels of anti-cyclic citrullinated peptide (anti-CCP) antibodies (p=0.01), IgM rheumatoid factor (RF) (p=0.02), CXC chemokine ligand 13 (CXCL13, p=0.02), sCD23 (p<0.05), as well as frequencies of CD19 Conclusion: Markers of B cell activation including anti-CCP and frequencies of CD19

Indexed as

AbataceptAntirheumatic AgentsArthritis, RheumatoidAutoantibodiesB-LymphocytesAdultAgedAnti-Citrullinated Protein AntibodiesBiomarkersChemokine CXCL13FemaleHumansLymphocyte ActivationMaleMiddle AgedRheumatoid FactorAbataceptAnti-Citrullinated Protein AntibodiesAntirheumatic AgentsAutoantibodiesBiomarkersChemokine CXCL13Rheumatoid FactorabataceptB cellCXCL13predictive biomarkerrheumatoid arthritisrheumatoid factor

Identifiers

PMID39925810
PMCPMC11803405

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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.