Matrine Reduces Intraocular Pressure in Corticosteroid-Induced Ocular Hypertensive Mouse Eyes
Bibliographic record
Abstract
Purpose: This study investigates the potential of matrine, a quinolizidine alkaloid, in regulating intraocular pressure (IOP) in normal and corticosteroid-induced ocular hypertension (OHT) mice. Methods: Wild-type C57BL/6 mice were randomly divided into normal and OHT groups. The OHT mouse model was established by periocular conjunctival fornix injections of dexamethasone-21-acetate (DEX). IOP was measured at 0.0, 0.5, 1.0, 3.0, and 6.0 hours after matrine treatment in both groups. Aqueous humor (AH) outflow facility was measured using our previously described/validated perfusion system. Anterior segment-optical coherence tomography was used to evaluate morphological changes in the anterior chamber following matrine treatment. Hematoxylin and eosin staining and immunofluorescence staining were used to investigate structural changes. Results: Matrine treatment (50-200 µg/g) decreased the IOP in normal mice in a dose-dependent manner. AH outflow facility in normal mice elevated at 0.5 hours after matrine treatment (100 and 200 µg/g). Additionally, 100 µg/g matrine treatment increased the angle opening distance in the anterior chamber. In DEX-induced OHT mice, matrine (100 and 200 µg/g) reduced the elevated IOP and increased the AH outflow facility. Furthermore, 100 µg/g matrine treatment increased the angle opening distance compared with that of PBS-treated controls. However, matrine (100 µg/g) did not induce significant changes in trabecular meshwork gross morphology or the expression of cell contractility and extracellular matrix markers in OHT mice at 0.5 hours after treatment. Conclusions: Matrine decreased the IOP in the DEX-induced OHT mouse model, highlighting its potential as a therapeutic agent for managing glaucoma, particularly in corticosteroid-associated secondary cases.
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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 | 0.001 |
| 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".