A Differential Effect of FGF‐2 on Resistance to Doxorubicin‐Induced Necrotic Versus Apoptotic‐Like Damage in Neonatal Rat Cardiomyocyte Cultures
Bibliographic record
Abstract
Therapeutic agents like doxorubicin (DOX), an anti‐cancer anthracycline, can increase the risk of cardiac damage. Strategies are needed to protect the heart that still allows the benefits of drug treatment. “Basic” fibroblast growth factor‐2 (FGF‐2), and specifically the low (18 kDa) molecular weight isoform is cardioprotective, but this has not been reported for DOX‐induced injury. The clinical effects of DOX have been modeled in rat cardiomyocytes, and 0.1–1.0 μM DOX is sufficient to induce cell damage. Here, we assessed the effect of 10 nM FGF‐2 on 0.5 μM DOX‐induced necrotic versus apoptotic‐related damage over 24 hours, as detected by the presence of lactate dehydrogenase in the culture medium (LDH) versus DNA fragmentation by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL). DOX induced a decrease in apparent (attached) cell number and a significant increase in LDH within 6 hours. The remaining cells continued to display muscle striations based on alpha‐actinin staining, but an increase in TUNEL intensity from 6 to 24 hours was also seen. Pre‐treatment (30 min) with FGF‐2 resulted in a significant decrease in LDH but not apparent TUNEL intensity. Additional assays to characterize these effects are being pursued. These data suggest that FGF‐2 can increase resistance to DOX‐induced plasma membrane damage but not DNA fragmentation under the conditions tested.
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.
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 | 0.001 | 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) | 0.000 | 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 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".