Fenofibrate lowers blood pressure in two genetic models of hypertension
Bibliographic record
Abstract
Fenofibrate, a commonly used lipid lowering drug, induces the expression of the gene coding for cytochrome P450-4A, whose major product is 20-hydroxyeicosatetraenoic acid (20-HETE). 20-HETE, a potassium channel antagonist, could increase or decrease blood pressure (BP). We studied the effects of four weeks of oral fenofibrate on BP, urine output (UVol), plasma renin activity (PRA), and urine protein excretion in young (4-5 weeks) stroke prone spontaneously hypertensive rats (SHRSP), older (25 weeks) SHRSP, Dahl salt sensitive rats (Dahl S) on a high salt diet, Dahl S rats on a normal salt diet, and normotensive Sprague-Dawley (SD) rats. Fenofibrate prevented the increase in BP in 4-5 week old SHRSP, reduced BP in 25 week old SHRSP, but had no effect on BP in normotensive SD rats. Similarly, fenofibrate prevented the increase in BP in Dahl S rats on a high salt diet, but had no effect in Dahl S rats on a low salt diet. Fenofibrate increased UVol (and reduced weight gain) in young SHRSP and tended to increase it in other groups. It also increased PRA 2 to 5-fold in all groups except older SHRSP. Young SHRSP receiving fenofibrate excreted significantly less urine protein than control rats. The drug reduced proteinuria in Dahl S rats on high salt diet, but had no significant effect on proteinuria in other groups. In summary, fenofibrate reduced blood pressure and weight gain, increased UVol and PRA, and reduced urine protein excretion in young SHRSP. Other groups of animals showed these changes to a variable, but directionally similar extent. These findings are consistent with a natriuretic effect of fenofibrate.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".