Effect of Late-stage Therapy on Disease Progression in AAV-mediated Rescue of Photoreceptor Cells in the Retinoschisin-deficient Mouse
Bibliographic record
Abstract
Proof-of-concept for a successful adeno-associated virus serotype 5 (AAV5)-mediated gene therapy in X-linked juvenile retinoschisis (XLRS) has been demonstrated in an established mouse model for this condition. The initial studies concentrated on early time-points of treatment. In this study, we aimed to explore the consequences of single subretinal injections administered at various stages of more advanced disease. By electroretinogram (ERG), functional improvement in treated versus untreated eyes is found to be significant in retinoschisin-deficient mice injected at the time-points of 15 days (P15), 1 month (PM1), and 2 months (PM2) after birth. In mice treated at 7 months after birth (PM7), an age previously shown to exhibit advanced retinal disease, ERG responses reveal no beneficial effects of vector treatment. Generally, functional rescue is paralleled by sustained retinoschisin expression and significant photoreceptor survival relative to untreated eyes. Quantitative measures of photoreceptors and peanut agglutinin-labeled ribbon synapses demonstrate rescue effects even in mice injected as late as PM7. Taken together, AAV5-mediated gene replacement is beneficial in slowing disease progression in murine XLRS. In addition, we show the effectiveness of rescue efforts even if treatment is delayed until advanced signs of disease have developed. Human XLRS patients might benefit from these findings, which suggest that the effectiveness of treatment appears not to be restricted to the early stages of the disease, and that treatment may prove to be valuable even when administered at more advanced stages.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".