Impaired Neutrophil Extracellular Trap (NET) Degradation in Rheumatoid Arthritis (RA) and Preclinical RA Is Mediated by Anti-NET Antibodies
Notice bibliographique
Résumé
Objectives Rheumatoid Arthritis (RA), a systemic autoimmune arthritis, begins after a prolonged preclinical phase which is marked by the development of RA antibodies, typically against citrullinated proteins (ACPA). The production of neutrophil extracellular traps (NETs), a form of cell death undertaken by neutrophils, leads to the extrusion of self-DNA decorated in citrullinated proteins, predominantly histones and proteases.[1] Increased NET abundance has been observed in the blood and at mucosal surfaces in established and preclinical RA, but it is not known if dysregulated NET production or impaired NET degradation, or both, is involved. This study aimed to evaluate NET degradation in a well-established longitudinal cohort of first-degree relatives (FDR) of RA patients, individuals at-risk to develop future RA. Methods Total NET complexes (citrullinated Histone-3-dsDNA complexes) were measured in 10% plasma using a custom in-house ELISA. A plate-based NET degradation assay was performed based on past publications. In brief, neutrophils (1.0×106 cells) were cultured in the presence of A23187 (1uM) to form NETs, which are detected by fluorescence (SYTOX green). Data was used to calculate the % of NETs degraded in quadruplicates. Poor/good NET degraders were determined using group sample median. Anti-NET antibodies were determined by ELISA, using plates coated with isolated NET complexes. DNAse-1 activity was assessed in plasma via fluorescence (abcam). Results Using samples from RA (n=30), ACPA- FDR (n=16), ACPA+ FDR (n=16) we observed higher NET complexes (citH3-dsDNA) in the plasma of ACPA+ FDR (p<0.0001) and RA patients (p<0.0001) compared to ACPA- FDR. NET degradation (using healthy control plasma as positive control, n=10), was impaired in ACPA+ FDR (p=0.005) and RA (p=0.001), but not in ACPA- FDR. There was no association between NET complexes and NET degradation capacity. Anti-NET antibodies were detected in ACPA+ FDR (p<0.0001) and RA (p<0.0001) and anti-NET antibody levels were higher in individuals who were labeled as poor NET degraders (p=0.04). DNAse-1 activity was no different between any of the sample groups and not reduced in samples considered poor degraders. Total IgG was isolated from poor NET degraders with high anti-NET IgG (n=3). Pre-incubation of IgG (10% total IgG) reduced the degradation of NETs by HC plasma (p=0.003) (Figure). Conclusion We show for the first time that NET degradation is impaired in RA and preclinical RA and that this observation is not related to reduced DNAse-1 activity. Our data suggests that anti-NET antibodies, likely ACPA, reduce NET degradation by binding to protein-DNA complexes, potentially shielding these complexes from local DNAses. [1.] O’Neil LJ. Science Adv 2020;6(44):eabd2688. Best Abstract by a Post-Graduate Research Trainee Award
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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 | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».