Dysfunction of the stress-responsive FOXC1 transcription factor contributes to the earlier-onset glaucoma observed in Axenfeld-Rieger syndrome patients
Bibliographic record
Abstract
Mutations in the Forkhead Box C1 (FOXC1) transcription factor gene are associated with Axenfeld-Rieger syndrome (ARS), a developmental disorder affecting structures in the anterior segment of the eye. Approximately 75% of ARS patients with FOXC1 mutations develop earlier-onset glaucoma. Constant exposure of the trabecular meshwork (TM), located in the anterior segment of the eye, to oxidative stress is predicted to be a risk factor for developing glaucoma. Stress-induced death of TM cells results in dysfunction of the TM, leading to elevated intraocular pressure, which is a major risk factor for developing glaucoma. FOXC1 is predicted to maintain homeostasis in TM cells by regulating genes that are important for stress response. In this study, we show that a member of the heat-shock 70 family of proteins, HSPA6, is a target gene of FOXC1. HSPA6 protein, which is only induced under severe oxidative stress conditions, has a protective function in human trabecular meshwork (HTM) cells. We also show that FOXC1 is anti-apoptotic as knocking down FOXC1 significantly decreases HTM cell viability. In addition, we show that FOXC1 itself responds to stress as exposure of cells to H2O2-induced oxidative stress reduces FOXC1 levels and activity. Conditions that decrease FOXC1 function, such as exposure of cells to oxidative stress and FOXC1 ARS mutations, compromise the ability of TM cells to effectively respond to environmental stresses. Dysfunction of FOXC1 contributes to the death of TM cells, an important step in the development of glaucoma.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".