Evidence map›Paper›PMID 26209290›Full record

ArticleThe AAPS journal2015

Physiologically Based Pharmacokinetic Predictions of Tramadol Exposure Throughout Pediatric Life: an Analysis of the Different Clearance Contributors with Emphasis on CYP2D6 Maturation.

Huybrecht T'jollyn, Jan Snoeys, An Vermeulen, Robin Michelet, Filip Cuyckens, Geert Mannens, Achiel Van Peer, Pieter Annaert, Karel Allegaert, Jan Van Bocxlaer and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The AAPS journal, 2015. 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
8.2field-weighted citation impact, top 2% 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, 37 citations in OpenAlex.

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  6. Use of Antibiotics in Preterm Newborns.Antibiotics (Basel, Switzerland) · 2022
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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

11 authors at 3 institutions in 1 country.

Huybrecht T'jollynLaboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium. huybrecht.tjollyn@ugent.be.
Jan SnoeysJanssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium.
An VermeulenLaboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium.
Robin MicheletLaboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium.
Filip CuyckensJanssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium.
Geert MannensJanssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium.
Achiel Van PeerJanssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium.
Pieter AnnaertDrug Delivery & Disposition, KU Leuven Department of Pharmaceutical and Pharmacological Sciences, O&N2, Herestraat, 49-box 921, B-3000, Leuven, Belgium.
Karel AllegaertDepartment of Development and Regeneration, KU Leuven and Neonatal Intensive Care Unit, University Hospitals Leuven, B-3000, Leuven, Belgium.
Jan Van BocxlaerLaboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium.
Koen BousseryLaboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium.
Ghent University · BEJanssen (Belgium) · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper focuses on the retrospective evaluation of physiologically based pharmacokinetic (PBPK) techniques used to mechanistically predict clearance throughout pediatric life. An intravenous tramadol retrograde PBPK model was set up in Simcyp® using adult clearance values, qualified for CYP2D6, CYP3A4, CYP2B6, and renal contributions. Subsequently, the model was evaluated for mechanistic prediction of total, CYP2D6-related, and renal clearance predictions in very early life. In two in vitro pediatric human liver microsomal (HLM) batches (1 and 3 months), O-desmethyltramadol and N-desmethyltramadol formation rates were compared with CYP2D6 and CYP3A4 activity, respectively. O-desmethyltramadol formation was mediated only by CYP2D6, while N-desmethyltramadol was mediated in part by CYP3A4. Additionally, the clearance maturation of the PBPK model predictions was compared to two in vivo maturation models (Hill and exponential) based on plasma concentration data, and to clearance estimations from a WinNonlin® fit of plasma concentration and urinary excretion data. Maturation of renal and CYP2D6 clearance is captured well in the PBPK model predictions, but total tramadol clearance is underpredicted. The most pronounced underprediction of total and CYP2D6-mediated clearance was observed in the age range of 2-13 years. In conclusion, the PBPK technique showed to be a powerful mechanistic tool capable of predicting maturation of CYP2D6 and renal tramadol clearance in early infancy, although some underprediction occurs between 2 and 13 years for total and CYP2D6-mediated tramadol clearance.

Indexed as

AdolescentAdultAge FactorsAnalgesics, OpioidChildChild, PreschoolCytochrome P-450 CYP2D6ForecastingHumansInfantMaleMetabolic Clearance RateMicrosomes, LiverRetrospective StudiesTramadolAnalgesics, OpioidCytochrome P-450 CYP2D6TramadolclearanceontogenyPBPKpediatrictramadol

Identifiers

PMID26209290
PMCPMC4627449
OpenAlexW2172670576

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.