FGF-2 protects cardiomyocytes from doxorubicin damage via protein kinase C-dependent effects on efflux transporters
Bibliographic record
Abstract
AIMS: The anti-cancer anthracycline doxorubicin (DOX) increases the risk of cardiac damage, indicating a need to protect the heart and still allow the benefits of drug treatment. Fibroblast growth factor-2 (FGF-2) is cardioprotective against ischaemia-reperfusion injury. Our aim is to investigate: (i) the ability of FGF-2 to protect against DOX-induced cardiomyocyte damage and (ii) the contribution of efflux drug transport to any increase in injury-resistance. METHODS AND RESULTS: Neonatal rat cardiomyocyte damage was assessed by measuring cell death markers and lactate dehydrogenase (LDH) activity in the culture medium. LDH activity was increased significantly after incubation with 0.5 μM DOX for 24 h in the absence but not presence of 10 nM FGF-2; this beneficial effect of FGF-2 was blocked by tyrosine kinase (FGF) receptor inhibition. An increase in efflux drug transporter RNA levels was also detected after FGF-2 treatment in the presence of DOX. The beneficial effect of FGF-2 against cell damage and increased transporter RNA levels were blunted with protein kinase C (PKC) inhibition. Finally, FGF-2 stimulated efflux transport of calcein and DOX, and treatment with efflux transporter inhibitors significantly attenuated the protective effect of FGF-2 from DOX-induced injury. CONCLUSION: Administered FGF-2 increases resistance to DOX-induced cardiomyocyte damage, by a mechanism dependent on PKC as well as regulation of efflux transporter production and/or function.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".