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Record W7132884031

Application of quantitative structure-toxicity relationships to quinone-induced cellular oxidative stress

2004· dissertation· W7132884031 on OpenAlexafffund
Arno Garakhanian Siraki

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsBibliographical Society of Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCytotoxicityReactive oxygen speciesCatalaseQuinoneOxidative stressHepatocyteIntracellularEnzyme
DOInot available

Abstract

fetched live from OpenAlex

Oxidative stress can be defined as a level of reactive oxygen species (ROS) formation that overcomes the threshold of cellular detoxification processes, which results in cellular damage. In chapter 1 of this study, we first examined intracellular sources (organelles) for "natural" formation of ROS, by using chemicals that are endogenously found. We determined that substrates metabolized by enzymes associated with mitochondria, peroxisomes, and endoplasmic reticula, formed ROS that lead to cytotoxicity, which became enhanced after catalase inhibition. A correlation between ROS formation and cytotoxicity was found, which led us to study this correlation using xenobiotics. In chapter 2, we examined ROS formation and cytotoxicity induced by a congeneric family of quinones and used quantitative structure-toxicity relationships (QSTRs) to analyze these results for both isolated rat hepatocytes and rat PC12 cells. A two dimensional (2D) QSTR or Hansch analysis was used to derive (multiple) linear regression equations for the cytotoxicity towards both cell types. This analysis identified electron affinity (or electrophilicity) of the quinone as the critical parameter responsible for the observed cytotoxicity and ROS formation. In chapter 3 we determined the effect of inhibiting NAD(P)H:Quinone Oxidoreductase (NQO), involved in a 2e- quinone reduction, with dicumarol on quinone cytotoxicity and ROS formation. Interestingly, apparent NQO inhibition affected hepatocyte susceptibility to quinones much more than PC 12 cells, which had little NQO activity relative to hepatocytes. Some quinones formed more ROS and were more cytotoxic to NQO inhibited hepatocytes, whilst other quinones were not affected. We derived 2D and three-dimensional (3D) QSTRs and found that both approaches yielded statistically significant models; but the 3D QSTR models were much more accurate. In the last chapter, we identified the bicarbonate anion (HCO3- ) as an important modulator of ROS formation and cytotoxicity. The effect of HCO3 - was titratable, and increased the cytotoxicity of redox cycling quinones, but not alkylating quinones. A carbonate radical mediated cytotoxic mechanism is proposed.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.142
GPT teacher head0.465
Teacher spread0.323 · 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 designSimulation or modeling
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
Published2004
Admission routes2
Has abstractyes

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