The t10c12 conjugated linoleic acid (CLA) isomer prevents the development of obesity‐related hypertension by increasing plasma adiponectin and activating endothelial nitric oxide synthase (eNOS) in fa/fa Zucker rats
Bibliographic record
Abstract
Obesity‐related hypertension may be due to increased activation of the adipose tissue renin‐angiotensin system (RAS) and/or reduced eNOS activity. CLA, a mixture of positional and geometric isomers of linoleic acid, has been shown to reduce blood pressure (BP) in obese insulin‐resistant rats. We investigated whether CLA isomers target RAS or eNOS by exploring expression of molecules related to BP regulation in obesity. Fa/fa Zucker rats were randomly assigned to 1 of 4 groups: (1) control (2) c9t11‐CLA (3) t10c12‐CLA (4) captopril. Systolic BP significantly increased in untreated obese rats during the 8‐week study. This increase of systolic BP was attenuated in the t10c12‐CLA isomer or captopril groups. Angiotensinogen, eNOS and adiponectin expression were examined by Western blot analysis and plasma adiponectin by ELISA. The t10c12‐CLA isomer increased plasma adiponectin levels however, no differences were seen in protein expression in white adipose tissue. Feeding the t10c12‐CLA isomer significantly increased phospho‐eNOS expression in white adipose tissue and the aorta. No changes were observed in angiotensinogen expression in white adipose tissue or aorta. In conclusion, the t10c12‐CLA isomer attenuates the development of obesity‐related hypertension, at least in part, by elevating circulating adiponectin and activating eNOS. Grant Funding Source NSERC
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".