Sovateltide (IRL-1620) affects neuronal progenitors and prevents cerebral tissue damage after ischemic stroke
Bibliographic record
Abstract
Stimulation of endothelin B receptors by its agonist IRL-1620 (INN, sovateltide) provides neuroprotection and neurological and motor function improvement following cerebral ischemia. We investigated the effect of sovateltide on stem and progenitor cells mediated neural regeneration and its effect on the cerebral tissue repair and restoration of neurological and motor function. Sovateltide (5 μg/kg) was injected intravenously in permanent middle cerebral artery occluded (MCAO) rats at 4, 6, and 8 h at days 0, 3, and 6. Neurological and motor function tests were carried out pre-MCAO and at day 7 post-MCAO. At day 7, significantly reduced expression of neuronal differentiation markers HuC/HuD and NeuroD1 was seen in MCAO + vehicle than sham rats. Sovateltide treatment upregulated HuC/HuD and NeuroD1 compared to MCAO + vehicle and their expression was similar to sham. Expression of stem cell markers Oct 4 and Sox 2 was similar in rats of all of the groups. Significantly reduced infarct volume and DNA damage with recovery of neurological and motor function was observed in sovateltide-treated MCAO rats. These results indicate that sovateltide initiates a regenerative response by promoting differentiation of neuronal progenitors and maintaining stem cells in an equilibrium following cerebral ischemic stroke.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".