Pseudolaric Acid B, a Novel Microtubule-Destabilizing Agent That Circumvents Multidrug Resistance Phenotype and Exhibits Antitumor Activity <i>In vivo</i>
Bibliographic record
Abstract
PURPOSE: Pseudolaric acid B (PAB) is the major bioactive constituent in the root bark of Pseudolarix kaempferi that has been used as an antifungal remedy in traditional Chinese medicine. Previous studies showed that PAB exhibited substantial cytotoxicity. The aims of this study were to elucidate the molecular target of PAB, to examine its mechanism of action, and to evaluate the efficacy of this compound in vivo. EXPERIMENTAL DESIGN: The effect of PAB on cell growth inhibition toward a panel of cancer cell lines was assayed. Cell cycle analysis, Western blotting, immunocytochemistry, and apoptosis analysis were carried out to examine the mechanism of action. Tubulin polymerization assays were conducted to examine the interaction between PAB and tubulin. A P-glycoprotein-overexpressing cell line was used to evaluate the efficacy of PAB toward multidrug-resistant phenotypes. In vivo efficacy of PAB was evaluated by the murine xenograft model. RESULTS: PAB induces cell cycle arrest at G2-M transition, leading to apoptosis. The drug disrupts cellular microtubule networks and inhibits the formation of mitotic spindles. Polymerization of purified bovine brain tubulin was dose-dependently inhibited by PAB. Furthermore, PAB circumvents the multidrug resistance mechanism, displaying notable potency also in P-glycoprotein-overexpressing cells. Finally, we showed that PAB is effective in inhibiting tumor growth in vivo. CONCLUSIONS: We identified the microtubules as the molecular target of PAB. Furthermore, we showed that PAB circumvents P-glycoprotein overexpression-induced drug resistance and is effective in inhibiting tumor growth in vivo. Our work will facilitate the future development of PAB as a cancer therapeutic.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".