Aliphatic β-Nitroalcohols for Therapeutic Corneoscleral Cross-Linking
Bibliographic record
Abstract
PURPOSE: Our recent tissue cross-linking studies have raised the possibility of using aliphatic β-nitroalcohols (BNAs) for pharmacologic, therapeutic corneal cross-linking. The present study was performed to determine the permeability of BNAs and to explore the use of permeability-enhancing agents. METHODS: Ex vivo rabbit corneas were mounted in a typical Franz diffusion chamber. BNA permeability was determined by assaying the recipient chamber over time using a modification of the Griess nitrite colorimetric assay. The apparent permeability coefficient (Ptot) was determined for 2 mono-nitroalcohols [2-nitroethanol (2ne) and 2-nitro-1-propanol (2nprop)], a nitrodiol [2-methyl-2-nitro-1,3-propanediol (MNPD)], and a nitrotriol [2-hydroxymethyl-2-nitro-1,3-propanediol (HNPD)]. Permeability-enhancing effects using benzalkonium chloride (BAC) (0.01% and 0.02%), ethylenediaminetetraacetic acid (0.05%), and a combination of 0.01% BAC + 0.5% tetracaine were also studied. RESULTS: The Ptot (±SE) values (in centimeters per second) were as follows: 4.33 × 10 (±9.82 × 10) for 2ne [molecular weight (MW) = 91 Da], 9.34 × 10 (±2.16 × 10) for 2nprop (MW = 105 Da), 4.37 × 10 (±1.86 × 10) for MNPD (MW = 135 Da), and 8.95 × 10 (±1.93 × 10) for HNPD (MW = 151 Da). Using the nitrodiol, permeability increased approximately 2-fold using 0.01% BAC, 5-fold using 0.02% BAC, and 5-fold using the combination of 0.01% BAC + 0.5% tetracaine. No effect was observed using 0.05% ethylenediaminetetraacetic acid. CONCLUSIONS: The results indicate that the corneal epithelium is permeable to BNAs, with the apparent permeability corresponding to MW. The findings are consistent with previous literature indicating that the small size of these compounds (<10Å) favors their passage through the corneal epithelium via the paracellular route. This information will help to guide dosing regimens for in vivo topical cross-linking studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".