Nogo-A antibody delivery through the olfactory mucosa mitigates experimental autoimmune encephalomyelitis in the mouse CNS
Bibliographic record
Abstract
Systemic administration of Nogo-A-neutralizing antibody ameliorates experimental autoimmune encephalomyelitis (EAE), an animal model of multiple sclerosis. However, the blood-brain barrier (BBB) is a major obstacle limiting the passage of systemically applied antibody to the CNS. To bypass the BBB, in the present study we tested the intranasal route of administration by targeting the olfactory mucosa with the Nogo-A-blocking antibody 11C7 mAb in myelin oligodendrocyte glycoprotein-induced EAE. Antibodies were specifically administered onto the olfactory mucosa using a microcatheter. Antibody distribution was examined in the CNS by ELISA and light-sheet microscopy. The effects of 11C7 mAb on Nogo-A signaling were assessed by Western blotting. EAE-induced deficits were monitored daily. Demyelination was observed on spinal cord histological sections. Gene expression changes were followed by trancriptomic analyses. A sensitive capture ELISA revealed a rapid and widespread distribution of 11C7 mAb in the CNS, including the olfactory bulb, the cerebellum and the lumbar spinal cord, but not in the CSF. Light-sheet microscopy allowed to observe antibody accumulation in the parenchyma, thus demonstrating nose-to-brain transfer of IgG. At the functional level, the widespread penetration of 11C7 mAb in the CNS, including the thoracolumbar spinal cord, resulted in the improvement of motor symptoms and in the preservation of myelin in the spinal cord of EAE mice. This was accompanied by Nogo-A signaling downregulation, as reflected by the decreased level of phosphorylated cofilin observed by Western blotting in the cerebellum. In the brain of EAE score-matched animals, 11C7 modified the expression of genes that can influence neurotransmission and cognitive functions, independently of the demyelination phenotype in the spinal cord. In conclusion, our data show the feasibility of olfactory mucosa-directed administration for the delivery of therapeutic antibodies targeting CNS antigens in EAE mice.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".