Low molecular weight heparin promotes transcription and release of placental growth factor from endothelial cells
Bibliographic record
Abstract
Circulating levels of placental growth factor (PlGF) are significantly reduced in women who develop preeclampsia. Low molecular weight heparin (LMWH) has been shown to acutely elevate circulating PlGF levels in pregnant women at increased risk of preeclampsia. The objective of the current investigation was to determine the mechanisms by which LMWH mediates the extracellular release of PlGF from endothelial cells. Cultured human aortic endothelial cells (HAECs) and human umbilical vein endothelial cells (HUVECs) were exposed to LMWH; PlGF transcription, translation, mobilization, and secretion were then assessed. LMWH significantly increased the release of PlGF from both HAECs and HUVECs. LMWH treatment promoted a significant increase of PlGF-1 mRNA expression in HAECs, accompanied by the intracellular transport and release of PlGF into the conditioned media. LMWH-mediated release of PlGF from HAECs was not directly mediated by extracellular mobilization, synthesis, or stability of PlGF mRNA/protein. LMWH exposure promotes the release of PlGF from endothelial cells through the upregulation of PlGF-1 mRNA expression. Stimulation of circulating PlGF levels by LMWH may be an important mechanism by which LMWH could reduce the risk of preeclampsia or minimize disease severity. NEW & NOTEWORTHY There are few therapeutic options available for the prevention of preeclampsia, a serious hypertensive disorder of pregnancy. Women who subsequently develop preeclampsia exhibit significantly reduced circulating levels of the proangiogenic placental growth factor protein. Low molecular weight heparin (LMWH) has previously been investigated as a preventative therapy against the development of preeclampsia; however, its mechanism of action is not known. The current study determined that LMWH promotes the transcription and release of placental growth factor protein from endothelial cells, providing a mechanistic basis by which LMWH could reduce the risk of preeclampsia or minimize disease severity.
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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 | 0.000 | 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".