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Ontogeny of Human Conjugating Enzymes

2015· review· en· W574556610 on OpenAlexaff
Michael W.H. Coughtrie

Bibliographic record

VenueDrug Metabolism Letters · 2015
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsGlucuronidationOntogenyEnzymeSulfationBiologyFetusXenobioticBiochemistryPharmacologyPregnancyGeneticsMicrosome

Abstract

fetched live from OpenAlex

Understanding the detailed ontogeny of xenobiotic metabolizing enzymes is important if we are to be able to predict the risk of toxicity to the developing fetus or the fate of drugs in neonates and children. This review summarizes current knowledge of the development of the major families of conjugating enzymes in humans: the UDP-glucuronosyltransferases, sulfotransferases, glutathione S-transferases, arylamine N-acetyltransferases and methyltransferases; little is known of the last three. Based on the available information, sulfation appears to be the most highly developed pathway during fetal development where glucuronidation in particular is lacking. Following birth, glucuronidation capacity develops rapidly and for many of the enzymes adult capacity occurs in mid-late childhood. The importance of developing pharmacokinetic and physiology-based pharmacokinetic models to support the more informed use of drugs in children is highlighted.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.925
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
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 head0.227
GPT teacher head0.493
Teacher spread0.267 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2015
Admission routes1
Has abstractyes

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