The role of endothelin-1 and its receptors in optic nerve head astrocyte proliferation
Bibliographic record
Abstract
AIM: To characterise the influence of endothelin-1 (ET-1), a vasoactive peptide, and its receptors (endothelin B (ETB) and endothelin A (ETA)) on rat optic nerve head astrocyte (ONHA) proliferation. METHODS: ONHAs were isolated from adult Brown Norway rats. ONHA specificity was determined with immunohistochemistry for: glial fibrillary acidic protein (GFAP); A2B5, a marker of type II astrocytes located outside the ONH; and myelin basic protein (MBP). ONHA proliferation was quantified following treatment with ET-1 (1x10(-6), 1x10(-7), 1x10(-9) or 1x10(-11) M) or vehicle for 24, 48 or 72 h. ETB and ETA antagonists were used to assess the role of each receptor in ONHA proliferation. RESULTS: ONHA specificity was confirmed with positive labelling for GFAP, and negative labelling for A2B5 and MBP. ONHAs also expressed ETB and ETA. Cell percentages increased significantly beginning 48 h after ET-1 exposure with 1x10(-7) (20%) and 1x10(-9) M (15%). After 72 h, ONHA percentages increased significantly at all ET-1 concentrations (25%, 21%, 29%, 28% increases relative to vehicle, for 1x10(-6), 1x10(-7), 1x10(-9) and 1x10(-11) M, respectively). No significant proliferation occurred in the presence of either antagonist. CONCLUSION: ONHAs proliferated following 48 h or more of exposure to ET-1. The proliferation required both ETB and ETA receptors.
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) | 0.000 | 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".