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Record W2130748375 · doi:10.1002/etc.5620220324

Hepatic microsomal cytochrome P450 enzyme activity in relation to in vitro metabolism/inhibition of polychlorinated biphenyls and testosterone in Baltic grey seal (<i>Halichoerus grypus</i>)

2003· article· en· W2130748375 on OpenAlexaff
Hongxia Li, J.P. Boon, Wilma E. Lewis, Martin van den Berg, Madeleine Nyman, Robert J. Letcher

Bibliographic record

VenueEnvironmental Toxicology and Chemistry · 2003
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMicrosomeMetabolismCytochrome P450ChemistryBiotransformationEnzymeUnspecific monooxygenasePolychlorinated biphenylBiochemistryStereochemistryMonooxygenaseEnvironmental chemistry

Abstract

fetched live from OpenAlex

Among other factors, cytochrome P450 (CYP) enzyme activity determines polychlorinated biphenyl (PCB) bioaccumulation, biotransformation, and toxicity in exposed species. We measured the oxidative metabolism in vitro of 12 PCB congeners, representing structural groups based on the number and position of the chlorine atoms, by the hepatic microsomes of one Baltic grey seal (Halichoerus grypus). Microsomal metabolism was observed for several PCBs with vicinal H atoms exclusively in the ortho and meta positions and without any ortho-Cl substituents (CB-15 [4,4'-Cl2] and CB-77 [3,3',4,4'-Cl4]), vicinal meta and para-H atoms (CB-52 [2,2',5,5'-Cl4], and -101 [2,2',4,5,5'-Cl5]) or with both characteristics in combination with either only one ortho-Cl (CB-26 [2,3',5-Cl3], CB-31 [2,4',5-Cl3]) or two ortho-Cl substituents (CB-44 [2,2',3,5'-Cl4]). To allocate PCB biotransformation to specific CYPs, the inhibitive effect of compounds with known CYP-specific inhibition properties was assessed on in vitro PCB metabolism and on regio- and stereospecific testosterone hydroxylase activities. Metabolic inhibition was considered relevant at concentrations < or = 1.0 microM because these inhibitors became decreasingly selective at higher concentrations. At < 1.0 microM, ellipticine (CYPIAI/2 inhibitor) selectively inhibited CB-15, -26, -31, and -77 metabolism, with no significant inhibition of CB-44, -52, and -101 metabolism. Inhibition of CB-52 and -101 metabolism by chloramphenicol (CYP2B inhibitor) started at 1.0 microM and maximized at about 100% at 10 microM. Ketoconazole (CYP3A inhibitor) appeared to selectively inhibit CB-26, -31, and -44 metabolism relative to CB-15, -77, and -52 at concentrations < or = 1.0 microM. Major testosterone metabolites formed in vitro were 2beta-(CYP3A), 6beta- (CYP3A, CYPIA), and 16beta- (CYP2B) hydroxytestosterone and androstenedione (CYP2B, CYP2C11). The CYP forms indicated are associated with the specific metabolism of testosterone in laboratory animals. Inhibition of 2beta- and 6beta-hydroxytestosterone formation at ellipticine and ketoconazole concentrations < or = 1.0 microM suggested that both inhibitors were good substrates of CYP3A-like enzymes in grey seal. Chloramphenicol (model for CYP2B) is apparently not a good inhibitor of CYPI A and CYP3A activities in grey seal because the chemical did not inhibit any metabolic route of testosterone at concentrations from 0.1 to 10 microM. Our findings demonstrated that at least CYP1A- and CYP3A-like enzymes in the liver of grey seals are capable of metabolizing PCBs with ortho-meta and/or meta-para vicinal hydrogens. A CYP2B form might also be involved, but this could not be proven by the results of our experiments. Defining the profiles of CYP enzymes that are responsible for PCB biotransformation is necessary to fully understand the bioaccumulation, toxicokinetics, and risk of PCB exposure in seals and other free-ranging marine mammals.

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 score0.003
Threshold uncertainty score0.007

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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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

Citations29
Published2003
Admission routes1
Has abstractyes

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