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Regulation of the Phenylethanolamine N‐methyltransferase Gene in the Spontaneous Hypertensive Rat

2008· article· en· W2277626405 on OpenAlexaff
Phong Nguyen, James A. G. Crispo, Jose de Wit, Gino Ubriaco, Joe K. Eibl, T.C. Tai

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSynthesis and Biological Activity
Canadian institutionsNOSM UniversityLaurentian University
Fundersnot available
KeywordsPhenylethanolamine N-methyltransferasePhenylethanolamineEndocrinologyInternal medicineEpinephrineMethyltransferaseBlood pressureGene expressionGeneCatecholamineBiologyMedicineGeneticsDopamineTyrosine hydroxylase

Abstract

fetched live from OpenAlex

Phenylethanolamine N‐methyltransferase (PNMT) is the enzyme involved in the biosynthesis of the catecholamine, epinephrine. Genetic mapping studies suggest that the PNMT gene is a candidate gene for hypertension. Furthermore, elevated expression of PNMT is correlated with elevated blood pressure in hypertensive rats. However, the mechanism associated with changes in PNMT gene expression is not known. Recent studies have identified key transcriptional regulators of the PNMT gene, which include: Egr‐1, Sp1 and GR. The current study examined the mechanism by which dysregulation of the PNMT gene occurs in a genetic rodent model of hypertension. Results from the current study show that spontaneous hypertensive rats (SHR) have elevated systolic, diastolic and mean arterial blood pressure compared to Wistar‐Kyoto (WKY) rats at 14, 15 and 16 weeks of age. RT‐PCR analysis show that adrenal PNMT mRNA is 1.5‐fold higher in SHR compared to WKY, and have increased levels of transcription factors Egr‐1 (3.2‐fold), Sp1 (3.3‐fold) and GR (1.3‐fold). These results suggest that altered transcriptional activity may be involved in increased PNMT expression associated in the pathophysiology of hypertension.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.213
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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