Sphingosine-1-phosphate modulates spiral modiolar artery tone: A potential role in vascular-based inner ear pathologies?
Bibliographic record
Abstract
OBJECTIVE: The mechanisms regulating spiral modiolar artery (SMA) tone are not known, yet their characterization is pivotal for understanding inner ear blood flow regulation. Sphingosine-1-phosphate (S1P), known to stimulate vasoconstriction in several vascular beds, is a candidate regulator of SMA tone with potential pathophysiological relevance. METHODS: Gerbil SMAs were isolated, cannulated and pressurized (30 mm Hg transmural) for experimentation under near-in vivo conditions. For functional experiments, vascular diameter and intracellular Ca2+ were simultaneously measured. Standard RT-PCR and immunohistochemical techniques were also employed. RESULTS: mRNA transcripts encoding sphingosine kinase, S1P phosphohydrolase and three S1P receptors (S1P(1-3)) were detected in the SMA. S1P induced dose-dependent vasoconstriction of the SMA (EC50 = 115 nmol/L), and enhanced the apparent Ca2+-sensitivity of the contractile apparatus. Noradrenaline did not elicit vasoconstriction. The Rho kinase inhibitor Y27632 (1 micromol/L) reversed S1P-induced vasoconstriction and the S1P-mediated enhancement of Ca2+-sensitivity. RhoA was observed to translocate to the plasma membrane in response to stimulation with 30 micromol/L S1P. CONCLUSION: We conclude that all key signalling pathway constituents are present at the mRNA level for S1P to act as an endogenous regulator of SMA tone. S1P stimulates potent, RhoA/Rho kinase-dependent SMA vasoconstriction and Ca2+ sensitization. The high sensitivity to S1P suggests that SMA vasoconstriction is likely to occur under pathological conditions that increase intramural S1P concentrations (i.e., inflammation). From a clinical perspective, the present study identifies new potential therapeutic targets for the treatment of vascular-based, "stroke-like" inner ear pathologies: the enzymes responsible for S1P bioavailability and the S1P receptors.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".