Isomer-specific effects of conjugated linoleic acid on blood pressure, adipocyte size and function
Bibliographic record
Abstract
Obesity-related hypertension may be caused by activation of the local adipose tissue renin-angiotensin system, resulting in exaggerated production of the vasoconstrictor angiotensin II. Additionally, secretion of adiponectin from adipose tissue, which prevents endothelial dysfunction, is altered in obesity. Consumption of conjugated linoleic acid (CLA) has been shown to modulate cytokine release from adipocytes and positively influence blood pressure in younger rats, but its physiological actions in older models with established hypertension and isomer-specific effects on adipocyte size remain to be determined. Therefore, we investigated the effects of CLA isomers on adipocyte size in relation to blood pressure and adipokine production by hypertrophic adipocytes in older fa/fa Zucker rats with established hypertension. fa/fa Zucker rats were fed with cis(c)9, trans(t)11-CLA or t10, c12-CLA isomers for 8 weeks and compared with lean and obese rats fed with the control diet. Blood pressure and adipocyte size were subsequently measured. Collagenase-isolated adipocytes were size-separated and angiotensinogen and adiponectin protein levels quantified by Western blotting. The t10, c12-CLA group had reduced blood pressure, fewer large adipocytes and increased serum adiponectin. Angiotensinogen was present at higher levels in the large adipocytes, whereas the converse was observed for adiponectin. The beneficial effects of the t10, c12-CLA isomer on blood pressure and adipocyte size in vivo may be due to its ability to reduce the number of large adipocytes, which alters the levels of vasoactive molecules secreted from adipose tissue.
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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 | 0.000 |
| 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".