Overexpression of RET leads to vesicoureteric reflux in mice
Bibliographic record
Abstract
RET, a tyrosine kinase receptor essential for kidney development, has recently been shown to be important for the formation of the urinary tract. When RET is overexpressed in the HoxB7/Ret transgenic mouse, kidneys are small and cystic, and in some of the mice, the ureters are grossly dilated. Here, we report that the observed ureteral dilatation is associated with the urinary tract abnormality vesicoureteric reflux (VUR), in which urine flows retrogradely from the bladder to the ureter. Reflux was determined in vitro by injecting methylene blue into the bladders of HoxB7/Ret and wild-type mice. At postnatal day 1, 30% of HoxB7/Ret mice had VUR compared with 4% of wild-type mice (P < 0.05). The length of the intravesical ureteral tunnel was shorter in HoxB7/Ret mice compared with wild-type mice, on both the right and the left sides (P < 0.05), suggesting a basis for the higher incidence of VUR in these mutants. At embryonic day 11, the ureteric bud was found to exit more caudally from the mesonephric duct in HoxB7/Ret mice, and this may predispose them to VUR (P < 0.05). Wild-type and HoxB7/Ret mice were tested for reflux at embryonic day 17, and both showed a high frequency of VUR (59 and 75%, respectively). These results suggest that VUR may occur transiently during normal urinary tract development before the ureter has completed its insertion into the bladder. In the HoxB7/Ret mouse, overexpression of RET appears to delay the maturation of the distal ureter, resulting in postnatal VUR. The HoxB7/Ret mouse is thus an important model in which to examine how vesicoureteric reflux arises during urinary tract development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".