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Cancer‐Specific Cell Death in Response to Palmitoylcarnitine is Associated with Increased Mitochondrial Hydrogen Peroxide

2017· article· en· W4389021294 on OpenAlexaffabout
Patrick C. Turnbull, Christopher G. R. Perry

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsYork University
FundersJames H. Cummings Foundation
KeywordsGlutathioneCancer cellProgrammed cell deathMitochondrionCancerOxidative phosphorylationCell cultureChemistryApoptosisCellCancer researchBiologyMolecular biologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Rationale and Hypothesis A benchmark of cancer cells is the reliance on glycolysis characterized by decreased mitochondrial oxidative phosphorylation (eg. Warburg effect). Recent evidence suggests that fatty acids (palmitoylcarnitine; PCarn) may force a shift to mitochondrial oxidative phosphorylation in HT29 colon cancer causing cell death, yet non‐cancer cells appear to be resistant. These results present the intriguing possibility that ‘lipid‐therapy’ might be well tolerated by healthy cells while retaining potency in cancer. However, the mechanism of lipid‐induced cancer cell death is not known. Glutathione is the main antioxidant found within the cell, we hypothesize that cell survival is determined by heterogeneity of basal intracellular glutathione. We theorize that cells with low basal glutathione will be more susceptible to elevated levels of mitochondrial H 2 O 2 from beta‐oxidation of PCarn, whereas cells with higher glutathione will be more resistant to elevated levels of H 2 O 2 . Experimental approach We developed a live cell kinetic assay to measure H 2 O 2 emission in real time; using this assay we exposed three different cancer lines (HT29 colorectal adenocarcinoma, MCF7 breast adenocarcinoma and HepG2 hepatocellular carcinoma) and one non‐cancerous cell line (CCD841 colon epithelial cells) to increasing amounts of PCarn (25μM, 50μM 100μM) for 2, 24 and 48hrs. As a measure of cell proliferation, we adapted a BCA protein assay to digest adhered cells in‐well as a measure of total cell content. Results After 48hr incubation of 100μM PCarn, H 2 O 2 emission increased in MCF7 (20%) and HT29 (170%), which corresponded to decreased protein contents of 20% and 50% respectively, thereby demonstrating a graded relationship between degree of H 2 O 2 emission and reduction in cell content. HepG2 demonstrated increased H 2 O 2 emission after 48hr incubation with 25μM (150% increase) and 50μM PCarn (218% increase) with a 50% reduction in protein content in both cases. In the non‐cancerous CCD841, we noticed an increase in H 2 O 2 (115%) emission, despite no change in protein content. Collectively, this data suggests that increases in H 2 O 2 production through PCarn oxidation is well tolerated by non‐cancerous cells, however cancer cells are unable to withstand the concomitant increase in mitochondrial H 2 O 2 emission albeit in response to different PCarn concentrations. Future work will determine the manner by which these cancer‐specific redox‐cell death relationships are regulated by glutathione buffering. Support or Funding Information Funding was provided to C.G.R.P. by National Science and Engineering Research Council (#436138‐2013) with infrastructure supported by Canada Foundation for Innovation, Ontario Research Fund and the James H. Cummings Foundation. P. C. T. was supported by an NSERC CGS‐D scholarship.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes2
Has abstractyes

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