Evidence map›Paper›PMID 32591415›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2020

Gestational Age-Dependent Abundance of Human Placental Transporters as Determined by Quantitative Targeted Proteomics.

Olena Anoshchenko, Bhagwat Prasad, Naveen K Neradugomma, Joanne Wang, Qingcheng Mao, Jashvant D Unadkat

Erratum issuedAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2020. 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 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–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

44 citing papers in PubMed.

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  13. Are ΔInternational journal of molecular sciences · 2024
    Article
  14. Cadmium transport by mammalian ATP-binding cassette transporters.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Olena AnoshchenkoDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Bhagwat PrasadDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Naveen K NeradugommaDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Joanne WangDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Qingcheng MaoDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Jashvant D UnadkatDepartment of Pharmaceutics, University of Washington, Seattle, Washington jash@u.washington.edu.ORCID 0000-0002-4820-8455

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
Gates Foundation INV-006678NIDA NIH HHS P01 DA032507
6 · The paper itself

Abstract

Some women take medication during pregnancy to address a variety of clinical conditions. Because of ethical and logistical concerns, it is impossible to determine fetal drug exposure, and therefore fetal risk, during pregnancy. Hence, alternative approaches need to be developed to predict maternal-fetal drug exposure throughout pregnancy. To do so, we previously developed and verified a maternal-fetal physiologically based pharmacokinetic model, which can predict fetal exposure to drugs that passively cross the placenta. However, many drugs are actively transported by the placenta (e.g., human immunodeficiency virus protease inhibitors). To extend our maternal-fetal physiologically based pharmacokinetic model to these actively transported drugs, we determined the gestational age-dependent changes in the protein abundance of placental transporters. Total cellular membrane fractions from first trimester (T1;

Indexed as

Maternal-Fetal ExchangeFemaleGestational AgeHumansMembrane Transport ProteinsModels, BiologicalPlacentaPregnancyPregnancy ComplicationsPregnancy TrimestersProteomicsMembrane Transport Proteins

Identifiers

PMID32591415
PMCPMC7469251

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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.