Effects of glucocorticoid receptor activation on gene expression and antiviral responses in Atlantic salmon (Salmo salar L.) red blood cells
Bibliographic record
Abstract
Abstract Farmed Atlantic salmon are subjected to different stressors during management routines, leading to prolonged elevated cortisol levels in the blood, a hallmark of chronic stress responses. In this study, we investigate how dexamethasone, an agonist for glucocorticoid receptors (GRs), and cortisol, an endogenous glucocorticoid, regulate gene expression in isolated A. salmon red blood cells (RBCs). Salmonid RBCs express GR genes at high levels. Transcriptional analysis revealed that dexamethasone significantly upregulated 156 genes, and led to > 100-fold induction of the genes FKBP prolyl isomerase 5 (fkbp5), the Krueppel-like factor 9 (klf9), and the DNA damage-inducible transcript 4 (ddit4). The significant upregulation of fkbp5 persisted for up to two weeks post RBC stimulation, indicating its potential as a biomarker candidate for chronic stress exposure. We compared ex vivo transcriptional responses in RBCs with responses in blood cells from A. salmon injected intraperitoneally with hydrocortisone, and found that ddit4 may be the most promising biomarker candidate for stress response in vivo. Dexamethasone and cortisol also downregulated antiviral and proteasome genes triggered by double-stranded RNA in RBCs. The results indicate that glucocorticoids have a profound effect on gene expression and putatively alter functions of A. salmon RBCs, and particularly block the antiviral response.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 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 teacher head, 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".