Symmetrical Dimethylarginine as the Central Antigenic Determinant of Anti-Smith Autoantibodies in Systemic Lupus Erythematosus
Notice bibliographique
Résumé
ABSTRACT Objective Systemic lupus erythematosus (SLE) is a chronic autoimmune disease causing multi-organ damage. The most specific autoantibody response in SLE, present in 20-30% of patients, targets the Sm-protein and has been shown to recognize a linear Sm-derived B cell epitope containing a post-translational modification (PTM) of arginine termed symmetrical dimethyl arginine (sDMA). As autoantibodies to other PTM-modified proteins are often promiscuous, we aimed to determine the specificity and cross-reactivity of anti-Sm antibodies. Methods Specificity and promiscuity/cross-reactivity of anti-Sm IgG were measured by ELISA in SLE patients and healthy donors using peptides containing either sDMA or unmodified arginine. Inhibition and cross-reactivity were determined using competitive ELISA and affinity purification. Recognition of endogenous EBNA1 by anti-Sm IgG was performed by Western blot using lysates of EBV-bearing lymphoblastoid cell lines. Results The sDMA residue is recognized by anti-Sm+ SLE patients regardless of the peptide amino acid sequence, with a modest impact of amino acids flanking sDMA on recognition. Most notably, IgGs targeting sDMA comprise the overall majority (∼90%) of the anti-Sm antibody repertoire and are highly cross-reactive between SmD3 108-122 and several sDMA-containing viral-derived epitopes, including full-length EBNA1. Conclusion Our data implicate that the majority of anti-Sm IgGs target the sDMA residue irrespective of its Sm-context, thus representing a prototypic anti-PTM response. These antibodies are highly promiscuous, recognizing several sDMA-modified targets, including naturally occurring viral sDMA-expressing epitopes. These findings suggest a new mechanism by which molecular mimicry of sDMA-modified viral proteins could contribute to a breach of tolerance in anti-Sm+ SLE patients. KEY MESSAGES What is already known on this topic Symmetrical dimethylarginine (sDMA) residues are present on RGG/RG repeat regions within the SmD1, SmD3, and SmB/B⍰ subunits of the Sm protein complex in vivo . The introduction of sDMA is essential for recognition of minimal antigenic epitopes spanning amino acids #95–119 on the SmD1 and #108–122 on the SmD3 subunits by a specific subset of anti-Sm autoantibodies. What this study adds We show that autoantibodies targeting sDMA residues are common in anti-Sm+ SLE patients and represent the majority of the anti-Sm autoantibody repertoire. We demonstrate that anti-sDMA autoantibodies are highly cross-reactive and can also bind to sDMA residues on other targets, including several virus-derived epitopes, thus representing a prototypic anti-modified protein antibody (AMPA) response directed against post-translationally modified proteins through symmetrical dimethylation of arginine. How this study might affect research, practice, or policy The high cross-reactivity of Sm antibodies to various sDMA-containing epitopes, combined with a dominant antigenic specificity, provides mechanistic insight in the potential link between viral infection and tolerance breach in anti-Sm+ SLE patients.
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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 | 0,000 | 0,000 |
| 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 ».