Dose-Response Relationship of EAE Clinical Severity in a MOG35-55 Mouse Model: A Pilot Study
Bibliographic record
Abstract
Experimental autoimmune encephalomyelitis (EAE) is a common animal model of multiple sclerosis (MS) which mimics the autoimmune, demyelinating, and inflammatory hallmarks of this human disorder. To better understand the severity of the symptoms in relation to the antigen in EAE, we explored the dose-symptom relationship between the quantity of MOG35-55 and clinical symptoms in a C57/BL6 mouse pilot study. To isolate the impact of MOG35-55 we developed an EAE model that does not require the additional application of pertussis toxin. Mice were treated with either 50µg, 100µg, or 150µg of MOG35-55 emulsified in complete Freund’s adjuvant. Following induction, the mice were assessed for clinical symptoms daily, and tested weekly for gross and fine motor impairments, mechanical allodynia, and anxiety-like behaviours. The time course of sensorimotor function loss was characterized by multiphasic disease progression. Findings also suggested an inverted U-shape dose-response relationship with a medium dosage of 100 µl MOG35-55 dosage aggravating symptom severity in induced animals. Outcomes measured by a clinical score correlated with performance on motor and nociceptive sensitivity tasks. As the disease progressed, fine and gross motor impairments and nociceptive sensitivity diminished and impairments persisted beyond 8 weeks. This study indicates that mild to moderate EAE can be induced in the absence of use of pertussis toxin. The progression suggests a spontaneously multiphasic disease course, which may have attractive implications for clinically relevant animal models.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".