Targeting Vascular Changes in Lesions in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis
Bibliographic record
Abstract
What is the origin of the complex vascular changes that exist in the CNS lesions of Multiple Sclerosis (MS)? From the beginning of the study of the pathological changes in MS in the 19th century, lesions were seen to be associated with veins. On a microscopic level, there have been numerous pathological changes to these vessels including altered structure and permeability, fibrinolysis, iron-related alterations and collagen deposition. Vascular changes in inflammatory conditions outside the CNS are well documented and we hypothesize that angiogenesis (the generation of new blood vessels from existing) is an integral process of lesion development and spread in MS. We demonstrated similar vascular abnormalities in MS and in the animal model, EAE. We measured the increase in angiogenesis-related genes in EAE and review herein the effectiveness of chemical inhibitors of angiogenesis (SU5416, thalidomide and several derivatives). We postulate that interference with angiogenesis provides a suitable non-immunological target for investigation in MS.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".