Extreme Dark Cytotoxicity of Nile Blue A in Normal Human Fibroblasts¶
Bibliographic record
Abstract
Early reports using mouse models indicated that Nile Blue A (NBA) is taken up more efficiently by tumor cells than normal tissue and retards tumor growth. NBA also shows both dark toxicity and phototoxicity of human tumor cells in vitro. However, studies on the dark toxicity of NBA and the effects of NBA-mediated photodynamic treatment in normal human cells are lacking. In the current study we have examined the cytotoxicity of NBA in normal human fibroblasts, spontaneously immortalized Li-Fraumeni Syndrome (LFS) cells and three different human tumor cell lines. The normal human fibroblasts showed extreme sensitivity to NBA compared with LFS cells and the human tumor cell lines. Treatment with 0.1 microgram/mL of NBA for 1 h reduced the colony formation of normal human fibroblasts by greater than 95%, but had no significant effect on the colony formation of LFS cells. No significant numbers of apoptotic cells were detected in either normal human fibroblasts or LFS cells following this drug concentration. Thus, unlike photodynamic therapy with some other photosensitizers, the dark toxicity of NBA was not caused by apoptosis. Although the drug uptake was higher in normal human fibroblasts compared with LFS cells, the difference in sensitivity between normal human fibroblasts and LFS cells could not be accounted for by the difference in drug uptake alone. In addition, we could not detect any significant photocytotoxic effect of NBA in either normal human fibroblasts or LFS cells for a drug concentration of 0.05 microgram/mL at light exposures of up to 6.7 J/cm2. These data indicate an extreme sensitivity of normal human fibroblasts to NBA and an inability to produce a significant photocytotoxic effect on human cells using NBA concentrations that have relatively low toxicity for normal human fibroblasts.
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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 | 0.000 |
| 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 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".