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Mitochondria-Targeting Biquaternary Ammonium Compounds: Pancreatic Anticancer Activity and Synergistic Interaction with Metformin

2025· article· en· W4411011534 on OpenAlexafffund
Maude Petit, Andreea R. Schmitzer

Bibliographic record

VenueACS Bio & Med Chem Au · 2025
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsUniversité de Montréal
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsMetforminMitochondrionPharmacologyChemistryAmmoniumMedicineCancer researchBiochemistryDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Challenges in pancreatic cancer treatment primarily arise from chemotherapy resistance, cancer cell metastasis, and frequent late-stage diagnoses. These issues significantly compromise the effectiveness of standard treatments and highlight the urgent need for targeted approaches. In this context, we explored the anticancer potential of bis-quaternary ammonium-based compounds (BQACs), which remains largely uncharted. This study examines the structure-activity relationship of amphiphilic bicationic compounds as anticancer agents, focusing on their selectivity against pancreatic cancer cells. Our analysis revealed a potent antiproliferative effect associated with mitochondrial accumulation and subsequent mitochondrial membrane depolarization. Furthermore, combination therapies involving BQACs and chemotherapeutic drugs were explored to enhance treatment efficacy. Consequently, we propose a novel combination of BQACs with metformin, resulting in enhanced cellular uptake of the latter. The synergistic effect of the combination enables a significantly lower effective dose of metformin when used alongside BQACs to achieve therapeutic outcomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.240
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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 routes2
Has abstractyes

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