Morphology of renal afferent arterioles and glomeruli, heart weight, and blood pressure in primates
Bibliographic record
Abstract
In a Caribbean outbred population of African green monkeys (Cercopithecus aethiops), 5 to 10% of feral adults have elevated blood pressure (BP). We have investigated whether the increased pressure is associated with abnormal renal afferent arteriole structure or glomerular number. In seven young adult (aged 7 to 13 years) male monkeys with consistently high BP (mean BP, 111 mm Hg; ketamine anesthesia) and seven controls (mean BP, 81 mm Hg), the morphology of the renal vasculature has been analyzed in three cortical zones. In each animal, the left kidney vasculature was fixed while relaxed and at known intravascular pressure, and afferent arteriolar diameter and media cross-sectional area were estimated. The right kidney was perfusion-fixed and prepared for unbiased stereologic estimation of glomerular number and size. No difference was found in afferent arteriole lumen diameter or media cross-sectional area, or in glomerular number or size, between the high BP group and controls. There was no difference in heart weight between the two groups, but there was a negative correlation between left ventricle heart weight and afferent arteriole diameter (controls: r = -0.81, P = .025; all animals: r = -0.70, P = .005, slope about 3.5% reduction in lumen diameter for 10% increase in heart weight). The results suggest that cardiac mass and renal afferent arteriole structure may be controlled by a common mechanism unrelated to BP measured in anesthesia. However, the lack of conscious measurements prevents conclusions as to whether this mechanism involves ambulatory BP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".