The Presence of Guttae in Fuchs Endothelial Corneal Dystrophy Explants Correlates With Cellular Markers of Disease Progression
Bibliographic record
Abstract
Purpose: Fuchs endothelial corneal dystrophy (FECD) is characterized by an accelerated depletion of corneal endothelial cells. There is growing evidence that mitochondrial exhaustion is central in the pathology. Indeed, endothelial cells loss in FECD forces the remaining cells to increase their mitochondrial activity, leading to mitochondrial exhaustion. This generates oxidation, mitochondrial damage, and apoptosis, fueling a vicious cycle of cells' depletion. This depletion ultimately causes corneal edema and irreversible loss of transparency and vision. Concurrently to endothelial cells loss, the formation of extracellular mass called guttae on the Descemet's membrane, is a hallmark of FECD. The pathology origins at the center of the cornea and progress outward, like the appearance of guttae. Methods: Using corneal endothelial explants from patients with late-stage FECD at the time of their corneal transplantation, we correlated mitochondrial markers (mitochondrial mass, potential, and calcium) and the level of oxidative stress and apoptotic cells, with the area taken by guttae. The different markers have been analyzed using fluorescent-specific probes and microscopic analysis. Results: We observed a positive correlation between the presence of guttae and the level of mitochondrial calcium and apoptotic cells. We found a negative correlation between the presence of guttae and the level of mitochondrial mass, membrane potential, and oxidative stress. Conclusions: Taken together, these results show that the presence of guttae is correlated with negative outcome in the mitochondrial health, oxidative status, and survival of nearby endothelial cells. This study provides insight on FECD etiology that could lead to treatment targeting mitochondrial stress and guttae.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".