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Record W4409786000 · doi:10.70962/cis2025abstract.68

Challenging the Paradigm: Severe Rheumatoid Arthritis and Anti-TNF Failure in an X-Linked Agammaglobulinemia Patient

2025· article· en· W4409786000 on OpenAlexaff
Noha Benharira, Fatemah AlYaqout, Christos Tsoukas

Bibliographic record

VenueJournal of Human Immunity · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsRheumatoid arthritisX-linked agammaglobulinemiaMedicineTumor necrosis factor alphaImmunologyIntensive care medicineBioinformaticsInternal medicineBiologyBruton's tyrosine kinaseReceptor

Abstract

fetched live from OpenAlex

Background X-linked agammaglobulinemia (XLA) is a rare inherited immunodeficiency disorder caused by a mutation of the Bruton tyrosine kinase (BTK) gene on the X chromosome. It is characterized by absent B cells and recurrent infections. Autoimmune manifestations in XLA, such as rheumatoid arthritis (RA), are uncommon and poorly understood [1, 2]. Case Presentation We report a case of a 56-year-old male with XLA, diagnosed at age 5, and chronic seronegative erosive polyarthritis who failed anti-TNF therapy with adalimumab (Hadlima), despite the absence of circulating B cells. He fulfills the 2010 ACR/EULAR classification criteria for RA with ongoing disease activity in small and large joints. After treatment failure with adalimumab, he was switched to upadacitinib (JAK1 inhibitor) with significant improvement and resolution of his synovitis. Investigations A primary immunodeficiency gene panel was performed, and the results were consistent with an XLA diagnosis, revealing a likely pathogenic mutation on the BTK gene (c.1932C>G and p.Phe644Leu). The investigations concord with agammaglobulinemia, including absent circulating B cells on flow cytometry (Figure 1, Tables 4, 6). Additionally, a rheumatologic workup was conducted and showed results supportive of seronegative arthritis (Table 7). Figure 1. Flow cytometry. Table 1. Naïve and memory T cell subsets (% and cells/cu mm). Table 2. T cell subsets (% and cells/cu mm). Table 3. T cell activation markers. Table 4. Memory B cells. Table 5. Genetic investigations. Table 6. Laboratory investigations. Table 7. Rheumatology workup. Discussion The failure of an anti-TNF inhibitor is unusual in this case, as this patient’s XLA results in no circulating B cells. It is unexpected for a patient with no functioning B cells to develop autoimmunity and anti-TNF treatment failure, as it is most often due to antibody development. Furthermore, although the role of T cells is not fully established with regard to RA, it is thought that they are involved in chronic inflammatory responses [3, 4]. There have been some recorded cases in the literature of RA in XLA patients, although the sample size of XLA patients is too small to draw a definitive conclusion [3]. Conclusion This case raises questions about the mechanisms underlying treatment resistance in B cell–deficient patients and highlights a rare and complex presentation of autoimmune RA and anti-TNF treatment failure in a patient with XLA. These findings underline the need for further investigation into immune dysregulation in XLA and the implications for autoimmune disease development and treatment response [3].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.239
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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