Low Inflammatory Activation by Self‐Assembling Rosette Nanotubes in Human Calu‐3 Pulmonary Epithelial Cells
Bibliographic record
Abstract
Rosette nanotubes (RNT) are a new class of metal-free organic nanotubes synthesized through self-assembly. Because of the wide range of potential biomedical applications associated with these materials, it is necessary to evaluate their potential in vitro toxicity. Here the cytotoxicity of a lysine-functionalized nanotube (RNT-K) in a human Calu-3 pulmonary epithelial cell line is investigated. The cells were treated with media only (control), lysine (50 mg mL(-1)), RNT-K (1, 5, and 50 microg mL(-1)), Min-U-Sil quartz microparticles (QM; 80 microg mL(-1)), and lipopolysaccharide (LPS; 1 microg mL(-1)). The supernatants were analyzed at 1, 6, and 24 h after treatment for the expression of three proinflammatory mediators: IL-8, TNF-alpha and EMAP-II. Cellular viability determined with the Trypan blue assay is significantly reduced in the QM and high-dose RNT-treated groups. TNF-alpha and EMAP-II are undetectable by enzyme-linked-immunosorbent assay (ELISA) in the supernatant of all groups. Although IL-8 concentrations do not differ between treatments, its concentrations increase with time within each of the groups. Quantitative reverse-transcriptase polymerase chain reaction (qRTPCR) of IL-8 mRNA shows increased expression in the high-dose RNT-treated groups at both 1 and 6 h, while an adhesion molecule, ICAM-1 mRNA, shows the greatest increase at 6 h in the QM-treated group. In summary, RNT-K neither reduces cell viability at moderate doses nor does it induce a time-dependent inflammatory response in pulmonary epithelial cells in vitro.
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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) | 0.000 | 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".