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Magnolol affects the expression of polyamine biosynthesis and catabolism‐linked proteins in PC3 human prostate cancer cells in vitro (1011.1)

2014· article· en· W1759110692 on OpenAlexaff
Brendan T. McKeown, Robert A. R. Hurta

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPolyamineMagnololOrnithine decarboxylaseOrnithine decarboxylase antizymeProtein kinase BPI3K/AKT/mTOR pathwayChemistrySpermineBiologyCell biologyBiochemistryEndocrinologySignal transductionPharmacologyEnzyme

Abstract

fetched live from OpenAlex

This study examined the effect of magnolol on the expression of proteins involved in polyamine biosynthesis/catabolism in PC3 prostate cancer cells in vitro . Magnolol, 80 μM for 6 hours, decreased cellular viability by ~50%. Magnolol exposure decreased expression of ornithine decarboxylase (ODC), a key protein in polyamine biosynthesis, and antizyme‐inhibitor (AZI) with no apparent change to expression of antizyme (AZ), an ODC inhibitor. Expression of spermidine/spermine N1‐acetyltransferase, a key protein in polyamine catabolism, was also decreased. These magnolol‐mediated changes to ODC & AZI expression suggest that changes in polyamine biosynthesis would occur. An AZI/AZ ratio decrease in response to magnolol favors growth repression of PC3 cells. Cellular signaling proteins were also evaluated, with no apparent change occurring in ERK1, ERK2, p‐ERK1, p‐ERK2, p38, p‐JNK2, PI3Kp110 & AKT expression. Decreased expression of p‐p38, JNK1, JNK2, PI3Kp85, p‐PI3Kp85 & p‐AKT and increased expression of p‐JNK1 were observed. This study demonstrates that magnolol can alter the behavior of human prostate cancer cells in vitro by affecting activities associated with growth regulation. (Supported by the Jeanne and J.‐Louis Levesque Foundation.) Grant Funding Source : Supported by the Jeanne and J.‐Louis Levesque Foundation

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 score0.015
Threshold uncertainty score0.282

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 head0.239
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

Citations0
Published2014
Admission routes1
Has abstractyes

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