Sphingosine-1-Phosphate Receptor 1, Expressed in Myeloid Cells, Slows Diet-Induced Atherosclerosis and Protects against Macrophage Apoptosis in Ldlr KO Mice
Bibliographic record
Abstract
We generated myeloid specific sphingosine-1-phosphate receptor 1 (S1pr1) deficient mice by crossing mice that had myeloid specific expression of Cre recombinase (lyzMCre) with mice having the S1pr1 gene flanked by loxP recombination sites. We transplanted bone marrow from these mice and control lyzMCre mice with intact macrophage S1pr1 gene expression into low-density lipoprotein (LDL) receptor gene (Ldlr) deficient mice. The resulting chimeras were fed a high fat atherogenic diet for nine or twelve weeks and evaluated for atherosclerosis development in the aortic sinus. Selective S1pr1 deficiency in bone marrow-derived myeloid cells resulted in accelerated development of atherosclerosis, necrotic core formation and the appearance of apoptotic cells within atherosclerotic plaques of Ldlr knockout mice in response to a high fat diet. Examination of macrophages in culture revealed that the sphingosine-1-phosphate receptor 1 selective agonist, SEW2871 or high density lipoprotein (HDL), protected macrophages against apoptosis induced by endoplasmic reticulum (ER) stress or oxidized LDL, through activation of phosphatidylinositol-3-kinase/Akt signaling. Targeted S1pr1-deletion prevented Akt activation and protection against apoptosis by either SEW2871 or HDL. Our data suggests that sphingosine-1-phosphate receptor 1 in macrophages plays an important role in protecting them against apoptosis in vitro and in atherosclerotic plaques in vivo, and delays diet induced atherosclerosis development in Ldlr deficient mice.
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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 | 0.001 | 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 | 0.001 | 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".