Up‐regulation of kinin B<sub>1</sub> receptor in the lung of streptozotocin‐diabetic rat: autoradiographic and functional evidence
Bibliographic record
Abstract
1 The function and autoradiographic binding expression of kinin B(1) receptors were evaluated in the lungs of Streptozotocin (STZ)-diabetic rats. 2 The intrapleural injection (i.pl.) of des-Arg(9)-bradykinin (des-Arg(9)-BK) (50 and 100 nmol per site), a selective B(1) receptor agonist, increased time-dependently the mononuclear and neutrophil cells influx in the pleural cavity of rats treated with STZ (65 mg kg(-1), i.p., 4 days earlier). This effect was significantly less in control rats. 3 The influx of mononuclear and polymorphonuclear neutrophil cells induced by des-Arg(9)-BK was significantly inhibited by two B(1) receptor antagonists (des-Arg(10)-Hoe140 or R-715, 100 nmol per site, 5 min earlier), but not by two B(2) receptor antagonists (Hoe140, 10 nmol or NPC 18884, 100 nmol per site, 5 min earlier). However, Hoe140 prevented the higher basal leukocyte influx seen in STZ-diabetic rats. 4 Leukocyte infiltration induced by des-Arg(9)-BK in STZ-diabetic rats was significantly reduced after treatment with insulin (2 U per day, s.c. over 4 days) or with an anti-PMN antibody (0.1 ml of a 1 : 20 dilution, i.pl. 5 min earlier). 5 Specific B(1) receptor binding sites were seen in lung sections from both control and STZ-diabetic rats, yet the density of labelling was much greater in diabetic rats and particularly after intrapleural injection of des-Arg(9)-BK. Treatment with insulin or with the anti-PMN antibody markedly reduced B(1) receptor binding sites occurring after the injection of des-Arg(9)-BK in STZ-diabetic rats. 6 Data suggest that the B(1) receptor is up-regulated in the lungs of STZ-diabetic rats, and its activation increases leukocyte infiltration into the pleural cavity. The overexpression of B(1) receptors seems to depend on neutrophils influx and appears to be associated with hyperglycaemia.
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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) | 0.003 | 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".