Investigating Homocitrulline-Specific T-Cell Responses in Rheumatoid Arthritis
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».