Induction of experimental autoimmune encephalomyelitis in transgenic mice expressing ovalbumin in oligodendrocytes
Bibliographic record
Abstract
We have used the 5' flanking sequence of the myelin basic protein gene known to include the core promoter and a strong oligodendrocyte (ODC)-specific enhancer to target expression of the well-studied model antigen ovalbumin (OVA) to ODC in transgenic mice. OVA protein was detected in a tissue- and cell-specific manner in these "ODC-OVA" mice. Without immunization, CD4 T cells and B cells remained ignorant of the neo-self antigen expressed in the central nervous system (CNS), as indicated by unimpaired development and lack of activation of OVA/IA(b)-specific TCR transgenic T cells in these mice, and the ability to mount normal OVA-specific recall and antibody responses. Upon immunization with OVA in complete Freund's adjuvant, about half of the transgenic mice developed neurological symptoms characteristic of experimental autoimmune encephalomyelitis (EAE). Mononuclear infiltrates in the brain and spinal cord contained both macrophages and T cells, similar to classical models of EAE induced by immunization with CNS antigens in adjuvant. The wealth of immunological reagents available to study and manipulate the OVA-specific response should make this new model useful for the investigation of components and mechanisms involved in CNS-specific autoimmunity.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".