Genetic blockade of (pro)renin receptor in adipose tissue modulate the mice body weight and glucose homeostasis (1173.6)
Bibliographic record
Abstract
Introduction: The (Pro)Renin receptor [(P)RR] local effects realizes by angiotensin depended and independent pathways were shown by many authors. Study the role of (P)RR in adipose tissue in regulation of the body weight and glucose homeostasis present the aim of the presentation. Material and methods: Specific in adipose tissue (P)RR receptor knockout mice (KO) created by crelox technology, where the male mice was homozygous (MHm) and female mice heterozygous (FHt). In adult mice fed high‐fat high‐carbohydrate diet (HF/HC) or regular chow (ND) the body weight (BW) assessed weekly, glucose homeostasis evaluated by oral glucose tolerant (OGTT) and intra‐peritoneal insulin tolerant (IP‐ITT) tests. Results: The BW curve in KO mice was significantly lower and more pronounced in MHm. OGTT test show higher glycemia, AUC of glucose and glucose/insulin ratio at basal and stimulated state in MHm on ND. IP‐ITT results show higher glycemia and AUC of glucose in FHt mice on HF/HC. This results accompanied by lower (P)RR gene (40%, p<0,05) and protein (40%) expression in adipocytes. Conclusion: The (P)RR specific deletion in adipose tissue accompanied by lower BW, glucose intolerance in MHm on ND, insulin insensitivity in FHt on HF/HC. Grant Funding Source : Suppoerted by CDA, MERK‐FROST
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".