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Record W2013612087 · doi:10.1021/bp9901522

Combining Cell Culture Analogue Reactor Designs and PBPK Models to Probe Mechanisms of Naphthalene Toxicity

2000· article· en· W2013612087 on OpenAlexfundno aff
Ahmed Ghanem, Michael L. Shuler

Bibliographic record

VenueBiotechnology Progress · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNaphthalenePhysiologically based pharmacokinetic modellingToxicityBiochemical engineeringChemistryEnvironmental chemistryPharmacologyPharmacokineticsOrganic chemistryBiologyEngineering

Abstract

fetched live from OpenAlex

An alternative method of evaluating the toxicology of a chemical is to use cultured mammalian cells in a novel cell culture analogue reactor (CCA) together with a corresponding physiologically based pharmacokinetic model (PBPK). The PBPK is a mathematical model that divides the body into compartments representing organs, integrating the kinetic, thermodynamic, and anatomical parameters of the animal. The bioreactor is a physical replica of the PBPK; where the PBPK specifies an organ or tissue compartment, the bioreactor contains compartments with a corresponding cell type. The device is a continuous, dynamic system composed of multiple cell types that interact through a common circulating cell culture medium. The bioreactor and the model are coupled to evaluate the plausibility of the molecular mechanism that is input into the model. This concept is tested with naphthalene as a model of PAH (polycyclic aromatic hydrocarbons) toxicants. Two physically different CCA reactors were tested with naphthalene, and different results were observed. In the prototype system using cells attached to glass dilution bottles, naphthalene dosing resulted in generation of a circulating metabolite from the "liver" compartment (based on H4IIE cells from a rat hepatoma) that caused cell death in the "lung" compartment (L2 cells from a rat lung), as well as depletion of glutathione in the L2 cells. An improved CCA using packed bed reactors of microcarrier cultured cells did not show differences between naphthalene-dosed and nondosed controls. To explain the different responses of the two CCA designs, PBPKs of the two reactors were tested with variations in physical and kinetic parameters, and toxic mechanism. When the toxic metabolite of naphthalene was naphthoquinone rather than naphthalene epoxide as initially assumed, the PBPK results were consistent with the results of the two CCA designs. This result indicates that the mechanism of naphthalene toxicity in the CCAs may be mediated through naphthoquinone formation. The CCA-PBPK concept is demonstrated to be applicable to the study of toxic mechanisms. In particular, use of this approach suggests that in vitro naphthalene toxicity is mediated through the naphthoquinone metabolite.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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

Citations66
Published2000
Admission routes1
Has abstractyes

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