Bibliographic record
Abstract
Glaucoma, a sight-threatening condition, is primarily characterized by elevated intraocular pressure (IOP). Despite its importance, the relationship between IOP and glaucoma progression is complex. Livne-Bar et al. (2017) unveiled the neuroprotective potential of lipoxins A4 and B4 (LXA4 and LXB4) in experimental glaucoma. To explore this in a clinical context, I evaluated lipidomic profiles in glaucoma patients and made unexpected findings. Out of a panel of lipid mediators and metabolites Arachidonic acid (AA) and LXA4 levels were selectively elevated, contrary to expectations based on LXA4's neuroprotective role. Investigating the influence of glaucoma medications on human trabecular meshwork cells, I found that latanoprost, a common prostaglandin analogue used as a glaucoma treatment to lower IOP, upregulated key lipidomic elements to produce significantly more LXA4. This result was intriguing because both prostaglandins and LXA4 are lipid mediators derived from the same arachidonic acid substrate. Studying untreated glaucoma patients is challenging, as they often initiate medication early. To approximate this circumstance, I developed a novel rodent model of gradual ocular hypertension (gOHT). Unlike previous models, gOHT exhibited minimal inflammation, significant retinal ganglion cell loss, and vision decline. Cytokine profiling distinguished it from other models that have an IOP spike at induction. Interestingly, the lipidomic profile of this model did not reflect the clinical findings of elevated lipoxins; AA levels were not significantly different compared to controls and lipoxin levels were below detection threshold. This confirmed our earlier finding that upregulation of the AA-lipoxin pathway is instead linked to prostaglandin analogue treatment. Further exploration found that LXA4 does not significantly alter IOP. However, targeting the production of endogenous prostaglandins with the COX inhibitor bromfenac reduced latanoprost's IOP-lowering effects. Thus, a dual mechanism has been uncovered for latanoprost actions that induces parallel pathways to 1) reduce IOP via COX-prostaglandin actions, and 2) inhibit proinflammatory signaling and regulate tissue fibrosis. These findings challenge the current understanding of glaucoma treatment, offering avenues for further research and potential therapeutic advancements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".