Isotype-Switched Autoantibodies Are Necessary To Facilitate Central Nervous System Autoimmune Disease in <i>Aicda−/−</i> and <i>Ung−/−</i> Mice
Bibliographic record
Abstract
Abstract B cell–depleting therapies have been shown to ameliorate symptoms in multiple sclerosis (MS) patients; however, the mechanism of action remains unclear. Following priming with Ag, B cells undergo secondary diversification of their BCR, including BCR class-switch recombination (CSR) and somatic hypermutation (SHM), with both processes requiring the enzyme activation-induced (cytidine) deaminase. We previously reported that activation-induced (cytidine) deaminase is required for full clinical manifestation of disease in an animal model of MS (experimental autoimmune encephalomyelitis; EAE) provoked by immunization with the extracellular domain of recombinant human myelin oligodendrocyte glycoprotein (hMOG). In this study, we investigated the role of CSR versus SHM in the pathogenesis of EAE. We found that passive transfer of class-switched anti-MOG IgG1 Abs into hMOG-primed Aicda−/− mice is sufficient to fully rescue EAE disease. In addition, we found that the nature of the Ag is an important determinant of EAE severity in Aicda−/− mice because the lack of a diversified BCR does not affect the induction of EAE when immunized with the extracellular domain of rat MOG. To discriminate the effect of either CSR or SHM, we induced EAE in uracil DNA glycosylase–deficient mice (Ung−/−) that exhibit a defect primarily in CSR. We observed that Ung−/− mice exhibit milder clinical disease compared with control mice, concomitant with a reduced amount of anti-MOG IgG1 class-switched Abs that preserved normal affinity. Collectively, these results indicate that CSR plays an important role in governing the incidence and severity of EAE induced with hMOG but not rat MOG.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".