AB003. Deregulated autophagy and energy-deficient photoreceptors drive angiogenesis in a model of age-related macular degeneration
Bibliographic record
Abstract
Abstract: Autophagy recycles intracellular substrate in part to fuel mitochondria during starvation. Deregulated autophagy caused by dyslipidemia, oxidative stress, and aging is associated with early signs of age-related macular degeneration (AMD), such as lipofuscin and perhaps drusen accumulation. Intracellular nutrient sensors for glucose and amino acids regulate autophagy. The role of lipid sensors in controlling autophagy, however, remains ill-defined. Here we will show that abundant circulating lipids trigger a satiety signal through FA receptors that restrain autophagy and oxidative mitochondrial metabolism. In the presence of excess dietary lipids, fatty acid sensors might protect tissues with high metabolic rates against lipotoxicity, favoring their storage, instead, in adipose tissues. However, sustained exposure to lipid reduces retinal metabolic efficiency. In photoreceptors with high metabolic needs, it predisposes to an energy failure and triggers compensatory albeit pathological angiogenesis, leading to blinding neovascular AMD.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".