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Investigating Homocitrulline-Specific T-Cell Responses in Rheumatoid Arthritis

2025· article· en· W4411846609 on OpenAlexaffvenue
Sofya Ulanova, G.C. Buckley, Mansour Haeryfar, Ewa Cairns, Lillian Barra

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsMedicineRheumatoid arthritisArthritisImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives Rheumatoid Arthritis (RA) is an incurable autoimmune disease affecting 1 in every 100 Canadians. Both B cells and T cells are involved in the pathogenesis of RA. These cells respond to peptides containing modified amino acids, including citrulline and homocitrulline. Although B-cell responses to homocitrullinated peptides (HomoCitP), also referred to as anti-carbamylated protein (anti-CarP) antibodies, have been studied, less is known about T-cell responses to HomoCitP. This study aims to investigate T cells that respond to HomoCitP in RA patients and in a humanized mouse model expressing the most significant RA genetic risk factor: HLA-DR4. Methods Male and female HLA-DR4-transgenic mice (n=6-9) were injected subcutaneously with HomoCitP or phosphate-buffered saline (PBS) as a control. Draining lymph nodes were collected on day 10 post-immunization for flow cytometry analysis. For human studies, blood samples were obtained from RA patients and age- and sex-matched healthy controls. CD4+ T cells were isolated using magnetic negative selection beads and stained with HomoCitP-loaded HLA-DR4-encoded MHC II tetramers to identify and phenotype HomoCitP-specific T cells. Peripheral blood mononuclear cells (PBMCs) were analyzed for cytokine production, and serum was collected for antibody assays. Results Mice immunized with HomoCitP, compared to PBS, had a 25-fold increase in the frequency of pro-inflammatory T helper 1 (Th1) cells (Table 1). Additionally, we detected a 1.8-fold increase in total activated cells with pro-inflammatory Th17 cells being the most abundant (30.5%). Furthermore, mice injected with HomoCitP had elevated levels of terminally exhausted and central memory T cells, which may contribute to chronic disease. When immune cells from these mice were exposed to HomoCitP in vitro, production of the cytokines TNF-α and IFN-γ was triggered, corroborating the inflammatory nature of the response to HomoCitP. Similar preliminary results were observed in RA patients, where PBMCs showed increased production of TNF-α, IFN-γ, IL-17A, and IL-6 cytokines in response to HomoCitP in vitro (Table 1). Using a tetramer assay, we detected 3-times more HomoCitP-specific T cells in RA patients compared to healthy controls. The majority of these cells were pro-inflammatory Th1 (51%) and Th17 (39%). Lastly, 8/10 RA patients tested positive for HomoCitP antibodies, compared to 1/6 healthy controls. Table 1. Summary of results for mouse and human cell experiments . Values represent the mean percentages of cells or the mean number of cells per 1 million cells. For human HomoCitP antibody levels, an optical density less than 0.1 was considered negative, 0.1–0.5 was considered low, 0.5–1.0 was considered medium, and greater than 1.0 was considered high. HomoCitP antibody concentration was significantly higher in RA patients compared to healthy controls (p = 0.0180). The median age of RA patients was 71 years, while the median age of healthy controls was 61 years (p = 0.0909). The percentage of female RA patients was 80%, compared to 83% in healthy controls. Conclusion This study identified HomoCitP-specific T-cell responses and cytokine production in both mice and RA patients. The observed pro-inflammatory responses provide valuable insights into RA pathogenesis and suggest potential new therapeutic targets for better control of disease activity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.281
Teacher spread0.259 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes2
Has abstractyes

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