Evidence map›Paper›PMID 27766562›Full record

ArticleClinical pharmacokinetics2017

A Physiologically-Based Pharmacokinetic Model to Predict Human Fetal Exposure for a Drug Metabolized by Several CYP450 Pathways.

Maïlys De Sousa Mendes, Gabrielle Lui, Yi Zheng, Claire Pressiat, Deborah Hirt, Elodie Valade, Naïm Bouazza, Frantz Foissac, Stephane Blanche, Jean-Marc Treluyer and 2 more

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 58 citations in OpenAlex.

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  18. Mechanistic Coupling of a NovelFrontiers in pediatrics · 2021
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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

12 authors at 4 institutions in 1 country.

Maïlys De Sousa MendesEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France. mailys.desousa@gmail.com.ORCID 0000-0001-5460-4350
Gabrielle LuiEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Yi ZhengEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Claire PressiatEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Deborah HirtEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Elodie ValadeEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Naïm BouazzaEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Frantz FoissacEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Stephane BlancheEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Jean-Marc TreluyerEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Saik UrienEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Sihem BenaboudEA 7323: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de recherche clinique Paris centre, 75006, Paris, France.
Hôpital Cochin · FRHôpital Necker-Enfants Malades · FRInserm · FRLaboratoire de Chimie et Biochimie Pharmacologiques et Toxicologiques · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnant women and their fetuses are exposed to numerous drugs; however, they are orphan populations with respect to the safety and efficacy of drugs. Therefore, the prediction of maternal and fetal drug exposure prior to administration would be highly useful.

methodsA physiologically-based pharmacokinetic (PBPK) model for nevirapine, which is metabolized by the cytochrome P450 (CYP) 3A4, 2B6 and 2D6 pathways, was developed to predict maternal and fetal pharmacokinetics (PK). The model was developed in both non-pregnant and pregnant women, and all physiological and enzymatic changes that could impact nevirapine PK were taken into account. Transplacental parameters estimated from ex vivo human placenta perfusion experiments were included in this PBPK model. To validate the model, observed maternal and cord blood concentrations were compared with predicted concentrations, and the impact of fetal clearance on fetal PK was investigated.

resultsBy implementing physiological changes, including CYP3A4, 2D6 and 2B6 inductions, we predicted a clearance increase of 21 % in late pregnancy. The PBPK model successfully predicted the disposition for both non-pregnant and pregnant populations. Parameters obtained from the ex vivo experiments allowed the prediction of nevirapine concentrations that matched observed cord blood concentrations. The fetal-to-maternal area under the curve ratio (0-24 h interval) was 0.77, and fetal metabolism had no significant effect on fetal PK.

conclusionsThe PBPK approach is a useful tool for quantifying a priori the drug exposure of metabolized drugs during pregnancy, and can be applied to evaluate alternative dosing regimens to optimize drug therapy. This approach, including ex vivo human placental perfusion parameters, is a promising approach for predicting human fetal exposure.

Indexed as

Models, BiologicalCytochrome P-450 Enzyme SystemFemaleFetusForecastingHumansMaleNevirapinePlacentaPregnancyReverse Transcriptase InhibitorsSignal TransductionCytochrome P-450 Enzyme SystemNevirapineReverse Transcriptase Inhibitors

Identifiers

PMID27766562
OpenAlexW2534344708

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.