Sphingosine-1-Phosphate-Induced Inflammation Involves Receptor Tyrosine Kinase Transactivation in Vascular Cells
Bibliographic record
Abstract
Sphingosine-1-phosphate (S1P), a multifunctional phospholipid, regulates vascular cell function. Whether S1P influences vascular inflammatory responses, particularly in hypertension, is unclear. We tested the hypothesis that S1P is a proinflammatory mediator signaling through receptor tyrosine kinase transactivation and that responses are amplified in vascular smooth muscle cells from stroke-prone spontaneously hypertensive rats (SHRSPs), a model in which we demonstrated Edg1 (S1P1 receptor) to be a candidate gene for salt-sensitive hypertension. Vascular smooth muscle cell from Wistar-Kyoto rats and SHRSPs were studied. S1P receptor subtypes, S1P1 and S1P2, were similarly expressed in Wistar-Kyoto rats and SHRSPs. S1P induced phosphorylation of epidermal growth factor receptor and platelet-derived growth factor and activation of p38 mitogen-activated protein kinase and c-Jun N-terminal kinase, with amplified effects in SHRSPs versus Wistar-Kyoto rats. Inhibition of epidermal growth factor receptor and platelet-derived growth factor (with AG1478 and AG1296, respectively) abolished S1P-induced phosphorylation of p38 mitogen-activated protein kinase and c-Jun N-terminal kinase in Wistar-Kyoto rats with variable effects in SHRSPs. Vascular smooth muscle cell inflammation was evaluated by expression of adhesion molecules and functional responses assessed by monocyte adhesion. S1P stimulated expression of intercellular adhesion molecule 1 and vascular cell adhesion protein 1 and promoted monocyte adhesion, particularly in SHRSP cells. S1P-mediated inflammation was blunted by AG1478 and AG1296 in SHRSP cells. VPC23019, a S1P1 receptor antagonist, inhibited S1P-induced mitogen-activated protein kinase phosphorylation, intercellular adhesion molecule 1 and vascular cell adhesion protein 1 expression, and monocyte adhesion. Our data indicate that molecular processes underlying vascular inflammation and cell adhesion in SHRSPs involve S1P/S1P1 receptors and phosphorylation of receptor tyrosine kinases. We identify a novel pathway linking S1P/S1P1 receptors to specific proinflammatory signaling pathways through epidermal growth factor receptor and platelet-derived growth factor transactivation, a process that is upregulated in SHRSPs. Such molecular events may contribute to vascular inflammation in hypertension.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".