Regulation of the cardiac phenylethanolamine N‐methyltransferase gene in the spontaneously hypertensive rat
Bibliographic record
Abstract
Phenylethanolamine N‐methyltransferase (PNMT) is the terminal enzyme in the catecholamine biosynthetic pathway involved in the synthesis of epinephrine from norepinephrine. Recent studies have identified cardiac PNMT and endogenous epinephrine in the heart. Genetic mapping studies have linked the PNMT gene to hypertension, and elevated PNMT levels are associated with higher blood pressure in hypertensive rats. The current study examined the expression of the cardiac PNMT gene in the genetic rodent model of hypertension, and associated changes in transcriptional regulators of the gene. Results show upregulation of PNMT mRNA in all four chambers of the heart in spontaneously hypertensive rats (SHR) compared to Wistar‐Kyoto (WKY) rats, with the greatest fold change (2.18) in the right atrium (RA) (p<0.01). The transcription factors Egr‐1, Sp1 and GR have been previously identified as regulators of the PNMT promoter. RT‐PCR analyses show significant increases in Sp1 mRNA in all chambers of the heart of SHR. Further, Egr‐1 mRNA was upregulated in the right and left atria (1.90, 1.45 fold) in SHR. Western blots showed significant fold increases in Sp1 in SHR for the RA (1.74), and the left (2.72) and right (1.46) ventricles. Egr‐1 protein paralleled mRNA expression in SHR. These results show that PNMT gene expression is elevated in SHR, and is likely mediated by altered transcriptional regulation of PNMT in the heart.
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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 | 0.001 |
| 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".