The Up-regulation of Stromelysin-1 (MMP-3) in a Spontaneously Demyelinating Transgenic Mouse Precedes Onset of Disease
Bibliographic record
Abstract
The matrix metalloproteinases (MMPs) are a family of endoproteinases that degrade various components of the extracellular matrix and have been implicated in the pathogenesis of multiple sclerosis. To determine whether up-regulation of MMP-3, or stromelysin-1, was a causative factor during the development of demyelination, we have examined the expression of MMP-3 mRNA and protein in brain tissue of a spontaneously demyelinating mouse model overexpressing DM20 (ND4 line) prior to and during the progression of disease. Stromelysin-1, but not other MMP mRNA was elevated approximately 10-fold in transgenic mice between 5 days and 1 month of age, more than 2 months before the onset of disease, and was coordinately expressed with the DM20 transgene. Stromelysin-1 protein levels were also up-regulated as was tissue inhibitor of metalloproteinase-1 (TIMP-1), an in vivo regulator of stromelysin-1 mRNA. When we crossed our ND4 mice with a line of transgenic mice overexpressing TIMP-1 in brain, clinical signs in these mice were attenuated, and the level of stromelysin-1 protein was reduced. Thus, in this transgenic model of demyelinating disease up-regulation of DM20, MMP-3, and TIMP-1 represent important changes in the chemical pathogenesis in brain, which precede the onset of disease.
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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) | 0.000 | 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 | 0.001 | 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".