Identification of an intracellular receptor for lysophosphatidic acid (LPA): LPA is a transcellular PPARγ agonist
Bibliographic record
Abstract
Lysophosphatidic acid (LPA) is a pluripotent lipid mediator acting through plasma membrane-associated LPA(x) receptors that transduce many, but not all, of its effects. We identify peroxisome proliferator-activated receptor gamma (PPARgamma) as an intracellular receptor for LPA. The transcription factor PPARgamma is activated by several lipid ligands, but agonists derived from physiologic signaling pathways are unknown. We show that LPA, but not its precursor phosphatidic acid, displaces the drug rosiglitazone from the ligand-binding pocket of PPARgamma. LPA and novel LPA analogs we made stimulated expression of a PPAR-responsive element reporter and the endogenous PPARgamma-controlled gene CD36, and induced monocyte lipid accumulation from oxidized low-density lipoprotein via the CD36 scavenger receptor. The synthetic LPA analogs were effective PPARgamma agonists, but were poor ones for LPA(1), LPA(2), or LPA(3) receptor transfected cells. Transfection studies in yeast, which lack nuclear hormone and LPA(x) receptors, show that LPA directly activates PPARgamma. A major growth factor of serum is LPA generated by thrombin-activated platelets, and media from activated platelets stimulated PPARgamma function in transfected RAW264.7 macrophages. This function was suppressed by ectopic LPA-acyltransferase expression. LPA is a physiologic PPARgamma ligand, placing PPARgamma in a signaling pathway, and PPARgamma is the first intracellular receptor identified for LPA. Moreover, LPA produced by stimulated plasma platelets activates PPARgamma in nucleated cells.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".