LEBER CONGENITAL AMAUROSIS DUE TO CEP290 MUTATIONS—SEVERE VISION IMPAIRMENT WITH A HIGH UNMET MEDICAL NEED
Bibliographic record
Abstract
PURPOSE: Leber congenital amaurosis due to CEP290 mutations (LCA10) is an inherited retinal disease that often results in severe visual impairment or blindness in early childhood. Currently, there are no approved treatments, highlighting the considerable unmet medical need associated with LCA10. We aimed to review the clinical characteristics of LCA10, its impact on patients and society, and the investigational treatment strategies currently in development. METHODS: Review of the current literature. RESULTS: LCA10 is an autosomal recessive ciliopathy, for which the CEP290 intronic variant c.2991+1655A>G (p.Cys998X) is the most common mutation. Usually diagnosed in early childhood, most patients with LCA10 have severe visual impairment during their first decade of life, which significantly affects the quality of life and development. LCA10 also has a significant societal burden (direct and indirect costs). RNA editing using antisense oligonucleotides or Staphylococcus aureus CRISPR-associated protein-9 nuclease is currently under investigation for treatment of p.Cys998X LCA10. Specifically, the antisense oligonucleotide therapy QR-110 (sepofarsen) has demonstrated encouraging safety and efficacy data in a first-in-human trial; a phase 3 clinical trial is ongoing. CONCLUSION: Interventions that can preserve or improve vision in patients with LCA10 have considerable potential to improve the patient quality of life and reduce burden of disease.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".