Genetic Ablation of CD36 Induces Age-Related Corneal Neovascularization
Bibliographic record
Abstract
PURPOSE: Corneal avascularity is tightly regulated by a balance between angiogenic and antiangiogenic factors (angiogenic privilege). In the current study, we tested the hypothesis that the CD36+/+ antiangiogenic receptor contributes toward the maintenance of corneal avascularity. METHODS: Corneas of CD36 wild-type (CD36) and knockout (CD36) mice aged 4, 16, 52, and 78 weeks were histologically evaluated for corneal haze and neovascularization (NV). Quantitative real-time polymerase chain reaction was performed on corneal tissue from CD36+/+ and CD36-/- mice aged 4 and 52 weeks to examine the effect of CD36 deficiency on expression of relevant angiogenic factors. RESULTS: Corneal haze and NV were absent in CD36+/+ mice at all ages. Conversely, corneal haze and NV were evident at 52 and 78 weeks in CD36-/- mice, and the latter demonstrated a significant increase in vessel density at 52 and 78 weeks. Interestingly, compared with CD36+/+ mice, in the corneas of 52-week-old CD36-/- mice, thrombospondin-1 messenger RNA was repressed, and vascular endothelial growth factor A, c-Jun N-terminal kinase-1, and c-Jun levels were robustly upregulated. CONCLUSIONS: CD36-/- mice develop corneal NV that increases in severity with age, thus accentuating the role of CD36 in preserving corneal avascularity.
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) | 0.002 | 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".