Identification of Myopia-Related Marker Proteins in Tilapia Retinal, RPE, and Choroidal Tissue following Induced Form Deprivation
Bibliographic record
Abstract
PURPOSE: Experimentally induced myopia is characterized by axial elongation of the eye. The molecular pathways leading to this condition are largely unknown, even though many candidate proteins have been proposed to be involved in this process. This study has identified proteins that were differentially expressed in myopic and control combined retina, retinal pigment epithelium (RPE), and choroidal tissue in tilapia (Oreochromis niloticus). METHODS: Form deprivation was used to induce myopia in tilapia (n = 3). In this initial study on tilapia retina, RPE and choroid, 2-D differential in gel electrophoresis (DIGE) and mass spectrometry were used to identify differentially expressed proteins. Homology-based gene cloning was used to obtain full sequence data for one of the identified proteins. RESULTS: A total of 18 protein spots separated by 2-D electrophoresis exhibited statistically significant differences in expression between the myopic and contralateral control combined retinal, RPE, and choroidal tissue. Three proteins were identified at a significance level of p < 0.05, as annexin A5 (down-regulated 47%), Gelsolin (down-regulated 27%), and TCP-1 (CCT) (down-regulated 54%). DNA sequencing of tilapia annexin A5 shows an amino acid sequence identity of 84.5% with the homologous Japanese ricefish annexin max2. CONCLUSIONS: A proteomics approach has been used to identify differentially expressed proteins in form-deprived combined retinal, RPE, and choroidal tissue from myopic versus normal eyes. The identified proteins may be components of pathways involved in myopia pathogenesis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".