Cellular localisation of the kinin B1R in the pancreas of streptozotocin-treated rat and the anti-diabetic effect of the antagonist SSR240612
Bibliographic record
Abstract
The mechanism by which kinin B1 receptor (B1R) contributes to type 1 diabetes is addressed by determining the impact of its inhibition on diabetes and on its pancreatic expression and cellular localisation on immunocompetent cells and primary sensory C-fibres. Rats were made diabetic with streptozotocin (STZ). On day 4, they were treated daily for 7 days with a B1R antagonist (SSR240612, 10 mg/kg) or its vehicle. The surviving β-cells were measured by immunostaining. The expression of B1R, iNOS, TNF-α, macrophages, TCD4+, CGRP and TRPV1 was measured by Western blotting, qRT-PCR and immunofluorescence. Macrophages and TCD4+ lymphocytes were absent in control, but distributed abundantly in the pancreas of STZ-diabetic rats. B1R was upregulated on these immune cells infiltrating the diabetic rat pancreas while it was not expressed on primary sensory C-fibres even if the expression of TRPV1 and CGRP was enhanced. SSR240612 prevented the infiltration of macrophages and TCD4+ lymphocytes and the upregulation of B1R, iNOS, TNF-α and TRPV1. SSR240612 corrected hyperglycaemia and hypoinsulinaemia by improving the Langerhans islets survival or regeneration. It is concluded that kinin B1R antagonism exerts anti-diabetic action by preventing the infiltration of immune cells in the pancreas and by preserving the integrity of Langerhans islets β-cells.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".