Link between the prorenin/renin receptor and glucose homeostasis in mice fed a high‐fat/high‐carbohydrate diet
Bibliographic record
Abstract
Objective Elucidate the role of the (P)RR in glucose homeostasis in mice fed high‐fat/high‐carbohydrate diet (HF/HC). Material and methods 12 week‐old C57BL/6 male mice were placed on a HF/HC or normal diet (ND) and were treated with either (P)RR blocker [(P)RR‐B] or saline for 10 weeks. Body weight was assessed weekly. At the end of treatment, mice were euthanized and fat tissues from subcutaneous (SCF), peri‐gonadal (PGF), peri‐renal (PRF) localisation were separated, weighed and flash frozen. Blood was collected and plasma was flash frozen for future measurement of glucose, insulin and triglycerides. Gene expression for glucose transporters GLUT1 and GLUT4 were assessed by real‐time PCR. Results (P)RR‐B administration lowered weight gain in the HF/HC fed mice, whereas food intake didn't differ between the groups. Increases produced by the HF/HC in circulating glucose, insulin and triglycerides were significantly decreased. Insulin sensitivity measured by glucose‐insulin ratio was also improved by the (P)RR‐B. Altered GLUT1 and GLUT4 mRNA expression in mice on a HF/HC was improved by the (P)RR‐B, in line with the circulating metabolites data. Conclusion (P)RR‐B administration seems to improve glucose homeostasis, insulin sensitivity and GLUTs gene expression profile in mice fed a HF/HC. Research supported by CIHR, HFSC, CDA and Merck Frosst Canada
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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".