Bladder overdistension with polyuria in a hypertensive rat model
Bibliographic record
Abstract
AIMS: Polyuria can lead to progressive chronic bladder overdistension. The impact of polyuria on the bladder has been extensively studied in settings of either diabetes or sucrose diuresis in animals. The goal of this study was to investigate the outcomes of polyuria in a hypertension setting. MATERIALS AND METHODS: Male Dahl/SS rats, a hypertension model, received a high-salt or normal diet for 6 weeks. Twenty-four-hour water intake, micturition patterns, and blood pressures were recorded biweekly. Conscious cystometry was carried out at the end of this period. Bladders were collected to measure contractile force and for histological analysis. Paired t-tests were used to compare changes between Week 0 and Week 6 within each group. Unpaired t-tests were used for comparisons between groups for all parameters at Week 6. RESULTS: Six weeks of high-salt diet significantly increased water intake and total urine. Blood pressures and volume of urine per micturition was higher in rats on high-salt diet. Bladder overdistension in the high-salt diet group was confirmed by cystometry, shown by a significantly higher bladder capacity, and compliance. No difference in detrusor contractility was observed between both groups. Collagen content was significantly higher in the lamina propria of the high-salt group compared to the normal group, while the opposite was observed in the muscularis. CONCLUSIONS: Polyuria, in a hypertension context, leads to changes in bladder morphology and function. These findings help clarify the deleterious clinical impact of polyuria on voiding function, highlighting the variable consequences of bladder overdistension according to the underlying pathology.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".