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Record W4411571182 · doi:10.3389/fphar.2025.1621050

6-Methoxydihydroavicine is a benzophenanthridine alkaloid with anti-leukemia activity

2025· article· en· W4411571182 on OpenAlexaff
Yingying Yang, Paul A. Spagnuolo

Bibliographic record

VenueFrontiers in Pharmacology · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsViability assayMyeloid leukemiaReactive oxygen speciesApoptosisPharmacologyProgrammed cell deathCancer researchLeukemiaCell cultureCytotoxicityChemistryBiologyMedicineImmunologyCell biologyBiochemistryIn vitroGenetics

Abstract

fetched live from OpenAlex

Background: Acute myeloid leukemia (AML) is an aggressive hematological malignancy with limited therapeutic options. Despite recent advances in targeted therapies, patients are still faced with poor survival outcomes. Thus, development of novel therapeutic agents with broad efficacy remains an urgent need. Methods: - a perennial herb found in China, North America and Europe - as a potent compound that reduced AML cell viability. We evaluated its cytotoxicity in multiple AML cell lines and investigated its underlying mechanism of action using assays that probed mitochondrial function, and reactive oxygen species (ROS) production. Results: 6-methoxydihydroavicine significantly reduced cell viability and induced caspase-mediated cell death in AML cell lines in a dose-dependent manner. Mechanistically, 6-methoxydihydroavicine triggered accumulation of mitochondrial ROS and disrupted electron transport chain (ETC) function. Conclusion: Our findings demonstrate that 6-methoxydihydroavicine exerts strong cytotoxic effects against AML cells through mitochondrial dysfunction and ROS-mediated apoptosis. As a natural, plant-derived compound with distinct anti-AML properties, 6-methoxydihydroavicine represents a promising candidate for further development as a therapeutic agent for AML.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.040
GPT teacher head0.405
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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