Evidence map›Paper›PMID 20109035›Full record

ReviewDrug metabolism reviews2010

Sandwich-cultured hepatocytes: an in vitro model to evaluate hepatobiliary transporter-based drug interactions and hepatotoxicity.

Brandon Swift, Nathan D Pfeifer, Kim L R Brouwer

Open access · greenAbstract readReview
In one paragraph

Review in Drug metabolism reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 351 citations in OpenAlex.

  1. Discovery ofJournal of medicinal chemistry · 2026
    Article
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  6. Bile acid metabolism in type 2 diabetes mellitus.Nature reviews. Endocrinology · 2025
    Review
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  8. Development of anFrontiers in pharmacology · 2025
    Article
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  11. Comparative metabolism of aflatoxin BArchives of toxicology · 2023
    Article
  12. Review
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  15. Review
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  19. Review
  20. Article

63 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Brandon SwiftUniversity of North Carolina at Chapel Hill, 27599-7569, USA.
Nathan D Pfeifer
Kim L R Brouwer
University of North Carolina at Chapel Hill · US

Funding

ALTERED HEPATIC DISPOSITION OF ANIONIC DRUGS-MECHANISMSR01GM041935 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROUWER, KIM L.R. · 1997 to 2016
$6.5M
NIGMS NIH HHS R01 GM041935NIGMS NIH HHS R01 GM41935
6 · The paper itself

Abstract

Sandwich-cultured hepatocytes (SCH) are a powerful in vitro tool that can be utilized to study hepatobiliary drug transport, species differences in drug transport, transport protein regulation, drug-drug interactions, and hepatotoxicity. This review provides an up-to-date summary of the SCH model, including a brief history of, and introduction to, the use of SCH, as well as methodology to evaluate hepatobiliary drug disposition. A summary of the literature that has utilized this model to examine the interplay between drug-metabolizing enzymes and transport proteins, drug-drug interactions at the transport level, and hepatotoxicity as a result of altered hepatic transport also is provided.

Indexed as

Cell Culture TechniquesAnimalsAnimals, Genetically ModifiedBile Acids and SaltsCarrier ProteinsChemical and Drug Induced Liver InjuryDrug InteractionsHepatocytesHumansLiverMembrane GlycoproteinsPharmaceutical PreparationsPredictive Value of Testsbile acid binding proteinsBile Acids and SaltsCarrier ProteinsMembrane GlycoproteinsPharmaceutical Preparations

Identifiers

PMID20109035
PMCPMC3097390
OpenAlexW2027665912

What OpenQuestion holds

Textmetadata
LicenceTDM
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.