Cytokine‐mediated regulation of catecholamine biosynthesis in adrenal chromaffin cells (876.5)
Bibliographic record
Abstract
Catecholamines, neurohormones with extensive functions in the sympathetic regulation of blood pressure, have a well‐established role in cardiovascular disease and hypertension. Epidemiological data has shown that, in addition to elevations in the catecholamine adrenaline, hypertensive patients demonstrate altered plasma cytokine profiles, suggesting that hypertension entails a complex interplay of the neuroendocrine and immune systems. From preliminary work, we have found that spontaneously hypertensive rats (SHR) exhibit higher plasma levels of the cytokine CCL2, and decreased levels of interleukin (IL)‐1β and interferon (IFN)‐δ, compared to their normotensive counterparts. To delineate the relationship between cytokine‐mediated signalling and catecholamine synthesis, we tested a panel of cytokines for their ability to affect the expression of tyrosine hydroxylase (TH), dopamine beta hydroxylase (DBH) and phenylethanolamine N‐methyltransferase (PNMT), key enzymes for catecholamine biosynthesis. Adrenal medulla derived PC12 cells were treated with the cytokines IL‐1β, IL‐2, IL‐6, IL‐10, tumor necrosis factor‐α, IFN‐α, transforming growth factor‐β1, or CCL2, and transcriptional changes were analyzed using RT‐PCR. Alterations in the transcripts of TH, DBH and PNMT upon cytokine treatments were observed illustrating cytokine‐mediated regulation of catecholamine biosynthesis. Grant Funding Source : Supported by NSERC and CIHR
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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) | 0.002 | 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".