Age dependent expression of angiotensin II receptors in the ovine kidney
Bibliographic record
Abstract
Previously we showed in conscious lambs that angiotensin II (ANG II) modulates renal haemoydnamics in an age‐dependent manner through activation of type 1 (AT 1 ), but not type 2 (AT 2 ) receptors. The present study was designed to assess the transcriptional expression (mRNA) of AT 1 and AT 2 receptors during post natal maturation in the ovine kidney. Kidney tissue was obtained from lambs aged 24 h, 1, 3, 6 and 12 weeks (n=3 for each age group) for measurement of AT 1 and AT 2 receptor mRNA expression. Corresponding cortical and medullary samples were obtained from the same location of kidney and frozen in liquid N 2 . Following RNA isolation from tissues, mRNA levels were assessed using RT‐PCR and validated sheep specific primers; data were normalized to β‐actin. At 24 h to 6 weeks, the expression of AT 1 was higher in the medulla; at 12 weeks it was higher in the cortex. In contrast, AT 2 expression was higher in the cortex than medulla for all age groups. At 6 to 12 weeks, AT 2 expression appeared enhanced in the cortex and was decreased at 12 weeks in the medulla. This study provides evidence that the expression of ANG II receptors is altered with post natal age in the ovine kidney. These changes in intrarenal AT 1 and AT 2 receptor expression may help to explain age dependent physiological effects of ANG II on renal haemodynamics and function. Dr. Vinturache and Dr. Qi are equal first authors. Supported by the Canadian Institutes for Health Research.
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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".