Regulation of Adrenaline Synthesis by Intermittent Hypoxia (LB793)
Bibliographic record
Abstract
Epidemiological studies show a strong correlation between Obstructive Sleep Apnea (OSA) and cardiovascular disorders. OSA patients experience intermittent hypoxia (IH), characterized by brief, but recurring episodes of cessation in breathing. These patients have higher levels of circulating catecholamines and an increased incidence of hypertension; however the mechanisms defining this association are not clearly established. Genetic linkage studies have associated the phenylethanolamine N‐methyltransferase (PNMT) gene to the development of hypertension. PNMT, the terminal enzyme in the catecholamine biosynthetic pathway, directly responsible for adrenaline synthesis, is elevated in hypertensive animals. Recent studies utilizing PC12 cells show an increase in the expression of PNMT and its regulatory transcription factors when exposed to continuous hypoxia. The current study examined the regulation of PNMT under conditions of intermittent hypoxia. The mRNA of PNMT was analyzed to assess if the regulation of PNMT expression entails alternative splicing. The mRNA and protein levels of the transcription factors HIF1α, Egr‐1, GR, and Sp1, was analyzed to assess the cellular pathways involved in regulating PNMT expression. A PNMT promoter‐driven luciferase assay was performed to evaluate promoter activity under IH. Preliminary results lay an antecedent for the regulation of PNMT by IH conceivably via an altered regulation of its transcription factors and establish a possible role for PNMT in IH mediated hypertension in OSA patients. Grant Funding Source : Supported by NSERC
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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) | 0.003 | 0.001 |
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".