Development of a human RPE In vitro model with AMD-like features reveals blue light-induced modulation of the endocannabinoid system
Bibliographic record
Abstract
Blue light (BL) is a known risk factor for age-related macular degeneration (AMD), a retinal pathology where damage to the retinal pigment epithelium (RPE) is one of the earliest events. While the endocannabinoid system (ECS) is implicated in various physio-pathological conditions of the retina, its role in BL-injured RPE has not yet been addressed. To fill this gap, we developed an in vitro model of BL-induced human RPE damage showing key features of AMD: cytotoxicity, cell cycle arrest, oxidative stress, inflammation, and cellular senescence. Notably, our model demonstrates modulation of gene and protein expression of specific ECS elements, particularly cannabinoid receptors 1 and 2 (CB 1 and CB 2 ), thus providing unprecedented evidence of ECS dysregulation in RPE cells upon BL exposure. • Blue Light triggers age-related macular degeneration features in ARPE-19 cells. • Blue light induces cell cycle arrest, oxidative stress, inflammation and senescence. • Blue Light induces selective changes in endocannabinoid system of ARPE-19 cells.
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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".