Evidence map›Paper›PMID 28588050›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2017

Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model I: Insights into Factors that Determine Fetal Drug Exposure through Simulations and Sensitivity Analyses.

Zufei Zhang, Marjorie Z Imperial, Gabriela I Patilea-Vrana, Janak Wedagedera, Lu Gaohua, Jashvant D Unadkat

Abstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
    Review
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  19. Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022
    Article
  20. 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

6 authors.

Zufei ZhangDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Marjorie Z ImperialDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Gabriela I Patilea-VranaDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Janak WedagederaDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Lu GaohuaDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Jashvant D UnadkatDepartment of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.) jash@u.washington.edu.

Funding

Understanding Fetal Exposure to Cannabinoids Through In Vitro and In Vivo StudiesP01DA032507 · NIDA · UNIVERSITY OF WASHINGTON · PI UNADKAT, JASHVANT D · 2013 to 2023
$12.4M
NIDA NIH HHS P01 DA032507
6 · The paper itself

Abstract

Determining fetal drug exposure (except at the time of birth) is not possible for both logistical and ethical reasons. Therefore, we developed a novel maternal-fetal physiologically based pharmacokinetic (m-f-PBPK) model to predict fetal exposure to drugs and populated this model with gestational age-dependent changes in maternal-fetal physiology. Then, we used this m-f-PBPK to: 1) perform a series of sensitivity analyses to quantitatively demonstrate the impact of fetoplacental metabolism and placental transport on fetal drug exposure for various drug-dosing regimens administered to the mother; 2) predict the impact of gestational age on fetal drug exposure; and 3) demonstrate that a single umbilical venous (UV)/maternal plasma (MP) ratio (even after multiple-dose oral administration to steady state) does not necessarily reflect fetal drug exposure. In addition, we verified the implementation of this m-f-PBPK model by comparing the predicted UV/MP and fetal/MP AUC ratios with those predicted at steady state after an intravenous infusion. Our simulations yielded novel insights into the quantitative contribution of fetoplacental metabolism and/or placental transport on gestational age-dependent fetal drug exposure. Through sensitivity analyses, we demonstrated that the UV/MP ratio does not measure the extent of fetal drug exposure unless obtained at steady state after an intravenous infusion or when there is little or no fluctuation in MP drug concentrations after multiple-dose oral administration. The proposed m-f-PBPK model can be used to predict fetal exposure to drugs across gestational ages and therefore provide the necessary information to assess the risk of drug toxicity to the fetus.

Indexed as

FemaleFetusGestational AgeHumansMaternal ExposureMaternal-Fetal ExchangeModels, BiologicalPharmaceutical PreparationsPlacentaPregnancyPharmaceutical Preparations

Identifiers

PMID28588050
PMCPMC5506457

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.