Contrasting properties of VEGF165 and VEGF165b splicing isoforms on glomerular water permeability in transgenic mice and complementary rescue of the phenotype
Bibliographic record
Abstract
VEGF is a major regulator of vascular permeability and increases glomerular permeability to water (LPA/Vi) in vitro on isolated intact glomeruli (1). In a double‐transgenic mouse model of kidney‐specific inducible VEGF expression a time‐dependent increase in LPA/Vi in double‐transgenic animals treated with Doxycycline compared with wild‐type mice was observed. VEGF165b, a splicing variant resulting from the use of a tandem 3' splice site in exon 8 of the VEGF gene, differs in six amino acids at the C‐terminal end of VEGF. VEGF165b decreases glomerular permeability to water both in vitro as well as in vivo in a transgenic mouse model of VEGF165b over‐expression in kidneys. To determine whether the decreased glomerular permeability phenotype in mice over‐expressing VEGF165b can be rescued by VEGF, paired permeability measurements were performed on glomeruli isolated from heterozygote mice before and after incubation in 1nM rhVEGF for 60 minutes. There was a significant increase in LPA/Vi from 1.67±0.32 to 2.57±0.58, indicating that the decreased permeability in VEGF165b expressing mice is reversible.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".