Glatiramer acetate therapy for multiple sclerosis: a review
Bibliographic record
Abstract
The past decade has witnessed a revolution in the treatment of multiple sclerosis (MS), the most common demyelinating disorder of the human CNS. After being considered as an untreatable disease for more than a century, six disease-modifying treatments have been approved between 1993 and 2006. Glatiramer acetate (GA) is a worldwide drug approved for the treatment of relapsing-remitting MS in 1996. The drug is a synthetic copolymer of four amino acids based on the composition of myelin basic protein, one of several putative autoantigens implicated in the pathogenesis of MS. Three separate double-blind, placebo-controlled trials have established its efficacy in relapsing-remitting MS. Observations from an ongoing study, the longest prospective study in MS therapeutics so far, suggest that the effect of GA in reducing the relapse rate and neurological disability is maintained over a 10-year period. Independent investigators have identified several putative immunological mechanisms of action of GA, with the unique observation of the generation of GA-reactive T-helper 2 (anti-inflammatory) polarised lymphocytes within days to weeks of initiating therapy and sustaining an anti-inflammatory milieu for years in the peripheral immune system and, presumably, in the CNS. Emerging data from immunological and imaging studies quantifying axonal injury in the brain point towards neuroprotective abilities of GA. Combined with its remarkable safety and tolerability, long-term efficacy and neuroprotective effect, GA presents it self as a first-line choice in relapsing-remitting MS, and holds immense promise in developing its potential as a combination therapy in MS, as well as extending its indications to other neurodegenerative diseases.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".