Investigating the pathogenicity of missense mutations in VSX1 and their association with corneal dystrophies
Bibliographic record
Abstract
Two corneal dystrophies, posterior polymorphous corneal dystrophy (PPCD) and keratoconus, have been associated with missense mutations found in the transcription factor-encoding gene Visual System Homeobox 1 (VSX1). Despite this association, the pathogenic link between VSX1 and these diseases remains controversial. To address this issue, I utilized a variety of in vitro approaches to study how seven VSX1 missense mutations found in disease populations that span two highly conserved domains, the homeodomain (HD) and CVC domain affect VSX1 transcriptional activity, protein expression levels and subcellular localization. I also carried out an in vivo investigation by generating a mouse line carrying a mutation in Vsx1: P254R. Corneal morphology was examined through histology and ex vivo whole eye confocal imaging which was used to assess corneal thickness. Quantification of immunocytochemistry was used to characterize terminal marker expression in the inner retina compared to previously described phenotypes in Vsx1-null mice. My in vitro results showed that mutations found in both the HD and CVC domain alter the normal transcriptional repression activity in Vsx1. These changes were not due to changes to protein expression or subcellular localization. Characterization of corneal and retinal phenotypes in vivo revealed no significant differences in Vsx1 P254R mice when compared to wild-type and Vsx1-null controls. In conclusion, my work shows that Vsx1 P254R is not pathogenic for corneal dystrophies in a mouse model. However, my in vitro studies show that Vsx1 mutations have the ability to alter transcriptional activity and therefore still have the potential to be pathogenic in humans. Further investigation is needed to determine whether VSX1 mutations found in disease populations are, in fact, causative for corneal dystrophies.
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 | 0.000 |
| 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".