Potential role of lysophosphatidic acid in hypertension and atherosclerosis.
Bibliographic record
Abstract
BACKGROUND: Lysophosphatidic acid (LPA) is present in both serum and cytosol. Serum LPA is mainly released from platelets whereas cytosolic LPA is the metabolite of phosphatidic acid due to the action of phopholipase A2. Because platelet function and phospholipase A2 activity are upregulated in hypertensive and coronary heart disease patients, respectively, plasma and cytosolic LPA levels are expected to be higher in these pathological conditions. OBSERVATIONS: LPA is known to cause platelet aggregation and thus release more LPA as well as platelet-derived growth factor; this positive feedback circuit leads to the continuous growth of vascular smooth muscle cells (VSMCs). LPA also increases the intracellular concentration of free calcium in VSMCs and elevates the blood pressure. LPA content in the atherosclerotic plaque is elevated about 13 times in comparison with normal tissues because oxidized low-density lipoproteins promote the production of LPA. On the other hand, LPA has been shown to protect the heart from ischemia and reperfusion-induced damage due to its antiapoptosis effect. Because LPA has been reported to stimulate mitogen-activated protein kinase, phosphatidylinositide-3-kinase and protein kinase C, this bioactive phospholipid may be involved in the signal transduction mechanisms during the process of cardiac hypertrophy. CONCLUSIONS: Due to its ability to increase intracellular Ca2+ and proliferation of VSMCs, LPA may play an important role in the development of hypertension and atherosclerosis. It is therefore suggested that LPA antagonists may prove useful in the treatment of both hypertension and atherosclerosis.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".