Evidence map›Paper›PMID 24671884›Full record

ArticleClinical pharmacokinetics2014

A re-evaluation and validation of ontogeny functions for cytochrome P450 1A2 and 3A4 based on in vivo data.

Farzaneh Salem, Trevor N Johnson, Khaled Abduljalil, Geoffrey T Tucker, Amin Rostami-Hodjegan

Erratum issuedAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical pharmacokinetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
11.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
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  9. Albumin and Other Plasma Proteins in Pediatric Patients: What, When, and How Much They Influence Antimicrobial Pharmacology.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    Article
  10. Review
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  12. Developmental age and clinical illness driveFrontiers in pharmacology · 2026
    Article
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Farzaneh SalemCentre for Applied Pharmaceutical Research, Manchester Pharmacy School, The University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Trevor N Johnson
Khaled Abduljalil
Geoffrey T Tucker
Amin Rostami-Hodjegan
Simcyp (United Kingdom) · GBUniversity of Manchester · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCurrent cytochrome P450 (CYP) 1A2 and 3A4 ontogeny profiles, which are derived mainly from in vitro studies and incorporated in paediatric physiologically based pharmacokinetic models, have been reported to under-predict the in vivo clearances of some model substrates in neonates and infants.

methodWe report ontogeny functions for these enzymes as paediatric to adult relative intrinsic clearance per mg of hepatic microsomal protein, based on the deconvolution of in vivo pharmacokinetic data and by accounting for the impact of known clinical condition on hepatic unbound intrinsic clearance for caffeine and theophylline as markers of CYP1A2 activity and for midazolam as a marker of CYP3A4 activity.

resultsThe function for CYP1A2 describes an increase in relative intrinsic metabolic clearance from birth to 3 years followed by a decrease to adult values. The function for CYP3A4 describes a continuous rise in relative intrinsic metabolic clearance, reaching the adult value at about 1.3 years of age. The new models were validated by showing improved predictions of the systemic clearances of ropivacaine (major CYP1A2 substrate; minor CYP3A4 substrate) and alfentanil (major CYP3A4 substrate) compared with those using a previous ontogeny function based on in vitro data (alfentanil: mean squared prediction error 3.0 vs. 6.8; ropivacaine: mean squared prediction error 2.3 vs.14.2).

conclusionsWhen implementing enzyme ontogeny functions, it is important to consider potential confounding factors (e.g. disease) that may affect the physiological conditions of the patient and, hence, the prediction of net in vivo clearance.

Indexed as

Metabolic Clearance RateModels, BiologicalAdolescentAdultAge FactorsAlfentanilAmidesCaffeineChildChild, PreschoolComputer SimulationCytochrome P-450 CYP1A2Cytochrome P-450 CYP3AFemaleHumansInfantAlfentanilAmidesCaffeineCytochrome P-450 CYP1A2Cytochrome P-450 CYP3AMidazolamRopivacaineTheophylline

Identifiers

PMID24671884
OpenAlexW1970036717

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.