Reversal effects of<i>Rabdosia rubescens</i>extract on multidrug resistance of MCF-7/Adr cells<i>in vitro</i>
Bibliographic record
Abstract
CONTEXT: Rabdosia rubescens (Hemsl.) Hara (Lamiaceae) is widely used in traditional Chinese medicines for the treatment of antitumor, antimicrobial, anti-inflammatory and antioxidation. It is also used as a supplement in the treatment of many cancers, such as esophagus, mammary gland, liver and prostate cancers. OBJECTIVE: To investigate the multidrug resistance (MDR) reversal effects and its possible mechanism of R. rubescens extracts on human breast cancer cell line MCF-7/Adr (Michigan Cancer Foundation--7/adriamycin resistance). MATERIALS AND METHODS: Rabdosia rubescens were extracted by reflux extraction method with different solvent such as petroleum ether, chloroform, ethyl acetate, n-butyl alcohol and water in order and obtain petroleum ether fraction (PEF), chloroform fraction (CF), ethyl acetate fraction (EAF), n-butyl alcohol fraction (BAF) and aqueous fraction (AF). The active extract fractions of R. rubescens were screened by rhodamine123 (Rh123) accumulation assay. Cytotoxicity of the effect fraction was examined by the MTT assay; the intracellular accumulation of adriamycin and expression of P-gp were examined by flow cytometry; the gene transcription of MDR1 was determined by RT-PCR. RESULTS: CF and EAF fractions could increase the intracellular accumulation of adriamycin in MCF-7/Adr cells, PEF, BAF and AF fractions showed little effect on the intracellular accumulation of adriamycin or Rh123. When adriamycin was used in combination with CF and EAF fractions at non-toxic concentration on MCF-7/Adr cells, CF and EAF fractions can reverse MDR of MCF-7/Adr cells, and the reverse folds were 2.16 (CF, 4 μg/mL), 4.60 (CF, 20 μg/mL), 1.87 (EAF, 4 μg/mL) and 4.02 (EAF, 20 μg/mL), respectively. After treatment with CF (4.20 μg/mL) and EAF (4.20 μg/mL) for 48 h, the MDR1 gene expression level in MCF-7/Adr cells was decreased by 40.17, 48.14, 33.86 and 42.52%, and the abundance of P-gp also decreased by 8.63, 24.53, 27.50 and 34.91% in MCF-7/Adr cells, respectively. DISCUSSION AND CONCLUSION: These results indicate the therapeutic value of chloroform fraction (CF) and ethyl acetate fraction (EAF) from R. rubescens as potential MDR reversing agents and warranted further investigation.
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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 | 0.000 | 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) | 0.001 | 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 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".