Deletion of the Akt/mTORC1 Repressor REDD1 Prevents Visual Dysfunction in a Rodent Model of Type 1 Diabetes
Bibliographic record
Abstract
Diabetes-induced visual dysfunction is associated with significant neuroretinal cell death. The current study was designed to investigate the role of the Protein Regulated in Development and DNA Damage Response 1 (REDD1) in diabetes-induced retinal cell death and visual dysfunction. We recently demonstrated that REDD1 protein expression was elevated in response to hyperglycemia in the retina of diabetic rodents. REDD1 is an important regulator of Akt and mammalian target of rapamycin and as such plays a key role in neuronal function and survival. In R28 retinal cells in culture, hyperglycemic conditions enhanced REDD1 protein expression concomitant with caspase activation and cell death. By contrast, in REDD1-deficient R28 cells, neither hyperglycemic conditions nor the absence of insulin in culture medium were sufficient to promote cell death. In the retinas of streptozotocin-induced diabetic mice, retinal apoptosis was dramatically elevated compared with nondiabetic controls, whereas no difference was observed in diabetic and nondiabetic REDD1-deficient mice. Electroretinogram abnormalities observed in b-wave and oscillatory potentials of diabetic wild-type mice were also absent in REDD1-deficient mice. Moreover, diabetic wild-type mice exhibited functional deficiencies in visual acuity and contrast sensitivity, whereas diabetic REDD1-deficient mice had no visual dysfunction. The results support a role for REDD1 in diabetes-induced retinal neurodegeneration.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".