β‐blockers interfere with cell homing receptors and regulatory proteins in a model of spontaneously hypertensive rats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To examine the interference of β-blockers with the chemokine stromal cell-derived factor-1 (SDF-1) found in cell homing receptors, C-X-C chemokine receptor type 4 (CXCR-4) and CXCR-7, and regulatory proteins of homing pathways, we administered atenolol, carvedilol, metoprolol, and propranolol for 30 days using an orogastric tube to hypertensive rats. METHOD: We collected blood samples before and after treatment and quantified the levels of SDF-1 with enzyme-linked immunosorbent assay (ELISA). On day 30 of treatment, the spontaneously hypertensive rats (SHR) were euthanized, and heart, liver, lung, and kidney tissues were biopsied. Proteins were isolated for determining the expression of CXCR-4, CXCR-7, GRK-2 (G protein-coupled receptors kinase 2), β-arrestins (β1-AR and β2-AR), and nuclear factor kappa B (NFκB). RESULTS: We found that the study drugs modulated these proteins, and metoprolol and propranolol strongly affected the expression of β1-AR (P = .0102) and β2-AR (P = .0034). CONCLUSION: β-blockers modulated tissue expression of the proteins and their interactions following 30 days of treatment. It evidences that this class of drugs can interfere with proteins of cell homing pathways.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it