VEGFR‐2‐mediated increased proliferation and survival in response to oxygen and glucose deprivation in PlGF knockout astrocytes
Bibliographic record
Abstract
In hypoxic/ischemic conditions, astrocytes are involved in neuroprotection and angiogenesis. Vascular endothelial growth factor (VEGF) induces angiogenesis and exhibits neuroprotective and neurotrophic properties. However, the role of placental growth factor (PlGF), a VEGF homolog, in these processes is unclear. Therefore, proliferation and survival studies were performed on PlGF knockout (PlGF-/-) and wild-type (PlGF+/+) mouse astrocytes. A significant increase in cell proliferation and survival to oxygen and glucose deprivation (OGD) was observed in PlGF-/- compared to PlGF+/+ astrocytes. Interestingly, no PlGF protein expression was detected in PlGF+/+ astrocytes and no changes in VEGF protein levels were observed between the two genotypes. Real-time PCR and immunocytochemistry showed over-expression of VEGF receptor-2 (VEGFR-2) in PlGF-/- compared with PlGF+/+ astrocytes. Confocal microscopy revealed nuclear, membrane, and cytoplasmic localization of VEGFR-2. In vivo over-expression of VEGFR-2 mRNA was also detected in PlGF-/- compared with PlGF+/+ astrocytes. Stimulation with VEGF165 resulted in increased proliferation in PlGF-/- compared with PlGF+/+ astrocytes. This effect was blocked by the VEGFR-2 antagonist, VEGF165b. The enhanced proliferation of PlGF-/- astrocytes correlated with increased phospho-extracellular-signal-regulated kinase-1/2 levels, while the resistance to OGD was independent of the phosphatidylinositol 3'-kinase/Akt pathway. These results suggest that VEGFR-2 mediates the enhanced proliferative/OGD resistant phenotype observed in PlGF-/- astrocytes.
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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) | 0.001 | 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 | 0.001 |
| 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".