Evaluation of viability assays for anthocyanins in cultured cells
Bibliographic record
Abstract
The MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assay is a widely accepted cytotoxicity assay which can produce inaccurate results due to possible interference with the antioxidant property of anthocyanins. Alternative methods to the MTT assay, such as BrdU (DNA-based) and CellTiter-Glo (ATP-based) assays were evaluated to assess anthocyanin cytotoxicity, derived from blackberry in LNCaP, MCF-7 and MDA-MB-453 cell lines. The standard cell counting method was the reference assay. Greater correlation of cell viability values following anthocyanin exposure was obtained from multiple cell lines with the alternative assays when compared with cell counting. MTT and cell counting results were not always correlated, albeit this was a function of cell type. In particular, poor correlations between cell counting and MTT procedures used to assess cytotoxicity of anthocyanins were observed in the MDA-MB-453 cell lines. Comparison of cytotoxicity derived from alternative assays and the MTT assays with the cell counting method was dependent on the assay procedure and the cell type. The LC(50) of blackberry crude extract ranged from 0.4 to 9.4 mg/mL between assays and across all cell lines, whereas a semi-purified anthocyanin extract was not cytotoxic. Cytotoxicity evaluation of polyphenolic-rich extracts using BrdU and CellTiter-Glo assays as alternatives to the MTT method is recommended.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".