Evidence map›Paper›PMID 39422159›Full record

ArticleJournal of cellular and molecular medicine2024

Modelling the maternal-fetal interface: An in vitro approach to investigate nutrient and drug transport across the human placenta.

Barbara Fuenzalida, Virginia Basler, Nadja Koechli, Nan Yi, Frantisek Staud, Christiane Albrecht

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Current approaches and advances in placental toxicology.Trends in endocrinology and metabolism: TEM · 2026
    Review
  3. Review
  4. Review
  5. Article
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.

Barbara FuenzalidaInstitute of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
Virginia BaslerInstitute of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
Nadja KoechliInstitute of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
Nan YiInstitute of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
Frantisek StaudDepartment of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic.
Christiane AlbrechtInstitute of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-7846-6930

Funding

Swiss 3R Competence Centre OC-2019-019Swiss National Science Foundation 310030_197408
6 · The paper itself

Abstract

The placenta plays a critical role in maternal-fetal nutrient transport and fetal protection against drugs. Creating physiological in vitro models to study these processes is crucial, but technically challenging. This study introduces an efficient cell model that mimics the human placental barrier using co-cultures of primary trophoblasts and primary human umbilical vein endothelial cells (HUVEC) on a Transwell

Indexed as

Human Umbilical Vein Endothelial CellsMaternal-Fetal ExchangePlacentaTrophoblastsATP Binding Cassette Transporter, Subfamily B, Member 1Biological TransportCoculture TechniquesFemaleHumansInulinIsoquinolinesLeucineModels, BiologicalPregnancyRhodamine 123ATP Binding Cassette Transporter, Subfamily B, Member 1InulinIsoquinolinesLeucinelucifer yellowRhodamine 123co‐cultureendothelial cellLAT1P‐gpplacental barrierpolarized monolayerprimary trophoblasttransport

Identifiers

PMID39422159
PMCPMC11487339

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.