B5H7, a Morpholine Derivative of 23-Hydroxybetulinic Acid, Reverses Doxorubicin Resistance in HepG2/ADM
Bibliographic record
Abstract
Multidrug resistance (MDR) is the major cause of the failure of cancer chemotherapy. Development of MDR reversers is an important strategy to improve the efficacy of cancer chemotherapy. Here, we have found a morpholine derivative of 23-hydroxybetulinic acid, B5H7, with a reversal effect on MDR cancer cells. Our studies showed that B5H7 enhanced cytotoxicity of doxorubicin, but no cisplatin in MDR cancer cells HepG2/ADM. And we found that B5H7 not only increased the intracellular accumulation of P-glycoprotein substrates doxorubicin and rhodamine123, but also reduced the efflux of rhodamine123 in HepG2/ADM cells. Further studies showed B5H7 did not alter the protein level of P-glycoprotein and it also had no effect on P-glycoprotein ATPase activity. Taken together, we have found that B5H7 could reverse doxorubicin resistance in HepG2/ADM cells by inhibiting the transport function of P-glycoprotein. These findings contribute to developing B5H7 as an adjuvant to anticancer chemotherapy with doxorubicin.
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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".