Human Trabecular Meshwork Cells Express Functional Serotonin-2A (5HT<sub>2A</sub>) Receptors: Role in IOP Reduction
Bibliographic record
Abstract
PURPOSE: To apply a multidisciplinary approach to the identification and pharmacological characterization of the serotonin (5HT) receptors that mediate functional responses in human trabecular meshwork (h-TM) cells. To correlate in vitro findings with intraocular pressure (IOP) changes in conscious ocular hypertensive cynomolgus monkeys. METHODS: Documented methods were used, including reverse transcription-polymerase chain reaction (RT-PCR), phosphoinositide (PI) turnover, and intracellular Ca2+ ([Ca2+]i) mobilization. IOP was measured using standard applanation pneumatonometry. RESULTS: h-TM cells expressed robust mRNA signals for 5HT2A and 5HT2B receptors. 5HT and its analogues stimulated PI turnover and [Ca2+]i mobilization in h-TM cells from multiple donors (20/24 donors' TM cells responded). The agonist potencies (EC50) of compounds in mobilizing [Ca2+]i were (nM): 5-methoxy tryptamine, 8 +/- 4; (R)-DOI, 18 +/- 6; alpha-methyl-5HT, 22 +/- 3; 5HT, 40 +/- 7; 5-methoxy-dimethyl tryptamine, 64 +/- 27; and BW-723C86, 1213 +/- 210. These effects were potently blocked by the 5HT2A-receptor-selective antagonist, M-100907 (Ki = 1 +/- 0.3 nM), but weakly by antagonists of 5HT2B and 5HT2C receptors. Only 5HT2 receptor agonists such as (R)-DOI (300 microg lowered IOP 34.4% from baseline of 38.2 mm Hg; P < 0.001) and alpha-methyl-5HT (250 microg lowered IOP 30.8% from baseline of 41.8 mm Hg; P < 0.001) lowered IOP in ocular hypertensive cynomolgus monkeys. CONCLUSIONS: Strong signals for 5HT2A and 5HT2B receptor mRNAs were detected in h-TM cells. The receptors that coupled to PI hydrolysis and [Ca2+]i mobilization in h-TM cells were the 5HT2A receptor subtype, which also significantly lowered IOP in a primate model. These receptors may mediate the ocular hypotensive actions of 5HT2A agonists.
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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) | 0.002 | 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".