Losartan prevents body weight gain in diet induced obese rats
Bibliographic record
Abstract
The renin angiotensin system (RAS), best known for its involvement in the regulation of cardiovascular function and salt/water balance, has recently been suggested to play a role in the regulation of energy homeostasis as interference with systemic RAS activity has been shown to decrease body weight and fat. The present study was undertaken to determine whether losartan, a non‐peptide ATII Type 1 receptor blocker, would influence daily body weight gain in diet induced obese (DIO) rats. Male Sprague Dawley rats (125–150g) were exposed to either a HFD or fed standard rat chow. After 10 weeks, rats on HFD were divided into DIO or diet resistant (DR) and at 18 weeks, body weight, and food and water intake were measured daily for 5 weeks. After a 14 day control period, rats were administered losartan (30mg/kg) in drinking water for 14 days, followed by return to tap water for an additional 7 days and effects on body weight and food and water intake assessed. There was no difference in daily body weight gain during in the control period between chow fed (2.6±0.5g, n=8), DR (2.1±0.5g, n=8) or DIO rats (3.4±0.4g, n=8, p=.18, one way ANOVA). Although losartan treatment attenuated daily body weight gain in chow fed rats (1.25±0.5g, n=8), it completely abolished daily weight gain in DR (−0.65±0.3g, n=8) and DIO (−0.43±0.7g, n=8) rats. Upon return to normal tap water, all rats gained weight as they had prior to losartan administration (chow 3.3±0.2g, DR 2.9±0.5g, DIO 3.8±0.5g). Our data demonstrate that losartan attenuates body weight gain in rats fed either a HFD (DR and DIO) or chow diet, an effect which was more pronounced in animals fed the HFD. These data suggest that the RAS plays a role in body weight homeostasis and that pharmacological agents that interfere with the functioning of the RAS may have be useful in the treatment for obesity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".