Emerging Roles for the CD36 Scavenger Receptor as a Potential Therapeutic Target for Corneal Neovascularization
Bibliographic record
Abstract
Neovascularization (NV) of the normally avascular cornea arises from various causes including inflammation, infection, trauma, and contact lens wear. Corneal NV, whatever the cause, impairs vision and threatens the survival of corneal allografts, thus representing a serious clinical problem for which treatment is limited. Recent interest has focused on vascular endothelial growth factor (VEGF), a key angiogenic factor whose role in corneal NV is amply documented. While experimental studies underscore the efficacy of anti-VEGF targeted agents, there exists no clear consensus on the ideal treatment for this multifaceted pathology. This review discusses the therapeutic potential of CD36, a well established anti-angiogenic receptor. We present evidence that CD36 contributes significantly to the maintenance of corneal avascularity wherein its deficiency leads to age-related corneal NV. Data further reveal that activation of CD36 substantially attenuates and induces regression of inflammatory corneal NV via concerted inhibition of VEGFA, c-Jun N terminal kinase-1, and c-Jun. In parallel studies, we demonstrate that hypoxia, a fundamental stimulus of NV, markedly elevates CD36 corneal expression in a hypoxia-inducible factor-1 and reactive oxygen species dependent manner. Collectively, our findings unveil interesting avenues for future research on the involvement of CD36 in neovascular eye disease and suggest CD36 agonists as potential therapeutic agents for the management of corneal NV, possibly in combination with anti-VEGF therapies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".