SARS-COV-2 MRNA VACCINE IMMUNOGENICITY IN SLE
Notice bibliographique
Résumé
PV152 / #774 Poster Topic: AS17 - Miscellaneous Background/Purpose The ACR recommends SARS-CoV-2 vaccination for all patients with rheumatic diseases, but the impact of immune suppressing medications on SARS-CoV-2 immunogenicity remains poorly understood. This study sought to answer how SLE patients, on a variety of medications, responded to the two-dose primary SARS-CoV-2 mRNA vaccine. We also evaluated the degree to which additional vaccine doses and natural infection impacted the development of SARS-CoV-2 anti-spike antibodies. Methods Using biobanked serum from before and following vaccination, we investigated anti-spike antibody development in 87 adult SLE patients and 16 adult healthy controls who had each received 2 doses of a SARS-CoV-2 mRNA vaccine 14-180 days prior a clinic visit. ELISA was used to assess the amount of vaccination strain (D614G) anti-spike antibodies being produced, reported as area under the curve (AUC); AUC <2 was considered a nonresponder, 2-6 blunted response, and >6 full response. The dates of primary vaccine doses and subsequent vaccine doses were determined based on the state immunization registry. Dates of COVID infection were documented by patient recall and confirmed by chart review. Medication hold strategies were determined by chart review. Results As seen in Table 1, healthy controls had a higher AUC (mean 7.95, median 7.72, range 5.88-10.60) compared to the 87 SLE patients (mean 6.23, median 7.09, range 0.34-11.5; p=0.0002). The responses of 23 SLE patients who were receiving no immunosuppressive medications (mean 7.36, median 7.96, range 0.34-10.5) were not different, as a group, from those of healthy controls (p=0.3). Among SLE patients, neither disease activity nor prednisone dose (0-60 mg; p=0.8) were associated with AUC. Compared to healthy controls (p=0.0008) or SLE patients not taking immunosuppressants (p=0.008), SLE patients treated with rituximab (n=3, mean 4.90, range 3.75-5.70) or mycophenolate (n=20, mean 5.01, median 5.68, range 0.50-10.34) had significantly reduced antibody production. Of the 6 MMF primary nonresponders (Table 2), 1 experienced COVID infection and 3 received additional vaccine doses over the subsequent year. While the patient experiencing natural infection demonstrated a robust anti-spike response (7.97) following infection, 2 of the 3 primary MMF nonresponders did not mount an antibody response, even following 3 rd , 4 th , or 5 th doses (AUCs all <1). One primary MMF nonresponder, however, demonstrated a robust response following her 3 rd vaccine dose, which was administered with instructions to hold the next 7 doses (3.5-days) of MMF; this patient’s AUC rose to 9.74 following her 3 rd primary dose. Table 1. Amount of vaccination strain SARS-CoV-2 anti-spike antibody produced by health controls and by SLE patients who had each received two doses of a SARS-CoV-2 mRNA vaccine described as area under the curve (AUC). HCQ=hydroxychlotoqume; MMF=mycophenolate or mycophenolic acid; MTX=methotrexate; AZA=azathioprine; Belim=belimumab; RTX=rituximab; pred=prednisone. A Bonferroni correction for multiple comparisons suggests a p-value of ≤0.006 as the cutoff for statistical significance (significant p-values are bolded). Table 2. Of the 6 primary MMF non-responders, 4 received subsequent vaccine doses (n=3) or documented infection (n=1). Among those who received additional vaccine doses, 2 remained non-responders while the 3 rd developed a robust response in the setting of MMF being (7 held doses immediately following vaccination). Conclusions We herein demonstrate that treatment with rituximab and mycophenolate significantly blunts the humoral immunogenicity of SARS-CoV-2 mRNA vaccines. Primary MMF nonresponders can go on to develop a robust humoral response following natural COVID infection and may be more likely to respond to mount a humoral response to subsequent SARS-CoV-2 immunization if MMF doses are held around the time of vaccine administration. These findings suggest that holding a small number of MMF doses during the days immediately following vaccination could be a practical and safe strategy for enhancing vaccine immunogenicity.
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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 | 0,001 |
| 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 ».