Evidence map›Paper›PMID 30062590›Full record

ArticlePharmaceutical research2018

Characterization of Intestinal and Hepatic CYP3A-Mediated Metabolism of Midazolam in Children Using a Physiological Population Pharmacokinetic Modelling Approach.

Janneke M Brussee, Huixin Yu, Elke H J Krekels, Semra Palić, Margreke J E Brill, Jeffrey S Barrett, Amin Rostami-Hodjegan, Saskia N de Wildt, Catherijne A J Knibbe

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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  11. Sex and Age Influence on Association ofDiagnostics (Basel, Switzerland) · 2022
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  17. Pharmacokinetics in children with chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 5 countries.

Janneke M BrusseeDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands.
Huixin YuDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands.
Elke H J KrekelsDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands.
Semra PalićDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands.
Margreke J E BrillDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Jeffrey S BarrettTranslational Informatics, Sanofi, Bridgewater, New Jersey, USA.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK.
Saskia N de WildtIntensive Care and Department of Pediatric Surgery, Erasmus MC - Sophia Children's Hospital, Rotterdam, the Netherlands.
Catherijne A J KnibbeDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands. c.knibbe@antoniusziekenhuis.nl.
Leiden University · NLCentre for Human Drug Research · NLChildren's Hospital of Philadelphia · USRadboud University Nijmegen · NLSt. Antonius Ziekenhuis · NLUniversity of Manchester · GBUppsala University · SE

Funding

National Institutes of Health HD037255-06Nederlandse Organisatie voor Wetenschappelijk Onderzoek Vidi grant (Knibbe 2013)
6 · The paper itself

Abstract

purposeChanges in drug absorption and first-pass metabolism have been reported throughout the pediatric age range. Our aim is to characterize both intestinal and hepatic CYP3A-mediated metabolism of midazolam in children in order to predict first-pass and systemic metabolism of CYP3A substrates.

methodsPharmacokinetic (PK) data of midazolam and 1-OH-midazolam from 264 post-operative children 1-18 years of age after oral administration were analyzed using a physiological population PK modelling approach. In the model, consisting of physiological compartments representing the gastro-intestinal tract and liver,intrinsic intestinal and hepatic clearances were estimated to derive values for bioavailability and plasma clearance.

resultsThe whole-organ intrinsic clearance in the gut wall and liver were found to increase with body weight, with a 105 (95% confidence interval (CI): 5-405) times lower intrinsic gut wall clearance than the intrinsic hepatic clearance (i.e. 5.08 L/h (relative standard error (RSE) 10%) versus 527 L/h (RSE 7%) for a 16 kg individual, respectively). When expressed per gram of organ, intrinsic clearance increases with increasing body weight in the gut wall, but decreases in the liver, indicating that CYP3A-mediated intrinsic clearance and local bioavailability in the gut wall and liver do not change with age in parallel. The resulting total bioavailability was found to be age-independent with a median of 20.8% in children (95%CI: 3.8-50.0%).

conclusionIn conclusion, the intrinsic CYP3A-mediated gut wall clearance is substantially lower than the intrinsic hepatic CYP3A-mediated clearance in children from 1 to 18 years of age, and contributes less to the overall first-pass metabolism compared to adults.

Indexed as

AdolescentAlgorithmsAnesthetics, IntravenousChildChild, PreschoolCytochrome P-450 CYP3AFemaleHumansInfantIntestinal MucosaLiverMaleMidazolamModels, BiologicalAnesthetics, IntravenousCytochrome P-450 CYP3AMidazolamabsorptionCYP3Aextraction ratiofirst-pass metabolismgut wallliverpediatrics

Identifiers

PMID30062590
PMCPMC6096899
OpenAlexW2887001877

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.