Diabetes-induced changes in responsiveness of rat bladder and vas deferens to peptides in vitro: susceptibility to reversal by insulin
Bibliographic record
Abstract
Changes in responsiveness of the vas deferens and urinary bladder to bradykinin (BK) receptor agonists (Tyr8-BK and des-Arg9-BK), substance P (SP), and endothelin-1 (ET-1) were assessed 8 weeks after streptozotocin (STZ)-induced diabetes. Preparations from control or STZ-treated (60 mg/kg i.p.) male rats were tested for contractile and neurogenic twitch potentiating (TP, in VD only) effects of all four agonists (1 nM to 0.3 or 3 microM). In diabetic VD, contractile effects of Tyr8-BK, des-Arg9-BK, and SP were enhanced, but ET-1 effects were unchanged. In contrast, TP by des-Arg9-BK was unaffected, that by Tyr8-BK was decreased, and those by SP and ET-1 were increased. In diabetic UB, only contractions to des-Arg9-BK and SP were enhanced. Following insulin replacement (human, 1-3 U/day s.c.), starting 1 week after STZ, TP induced by Tyr8-BK and des-Arg9-BK in VD were further inhibited, but all other changes in both preparations were reversed at least partially. Insulin treatment of nondiabetic rats, however, also affected VD (but not UB) responsiveness, such that contractions to Tyr8-BK and TP by ET-1 were increased, but TP by Tyr8-BK was decreased. Thus, STZ-induced type I diabetes causes important alterations in responsiveness of non-vascular smooth muscle tissues of the rat to BK, SP, and ET-1. Long term insulin replacement, at doses normalising glycaemia, effectively reversed most changes in VD or UB responsiveness, but it is unclear if this is truly due to blocking of STZ-induced changes, since the treatment also affected responsiveness of nondiabetic tissues.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".