Evidence map›Paper›PMID 28463419›Full record

ArticleCurrent protocols in toxicology2017

Micropatterned Co-Cultures of Human Hepatocytes and Stromal Cells for the Assessment of Drug Clearance and Drug-Drug Interactions.

Christine Lin, Salman R Khetani

Abstract read
In one paragraph

Article in Current protocols in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Simple, Affordable, and Modular Patterning of Cells using DNA.Journal of visualized experiments : JoVE · 2021
    Article
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  7. Article
  8. Review
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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

2 authors at 2 institutions in 1 country.

Christine LinSchool of Biomedical Engineering, Colorado State University, Fort Collins, Colorado.
Salman R KhetaniDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois.
Colorado State University · USUniversity of Illinois Chicago · US

Funding

Engineering zonal human liver functions in vitro using microfluidicsR03EB019184 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KHETANI, SALMAN R · 2014 to 2015
$172k
NIBIB NIH HHS R03 EB019184
6 · The paper itself

Abstract

Drug clearance rates from the body can determine drug exposure that can affect efficacy or toxicity. Thus, accurate prediction of drug clearance during preclinical development can help guide dose selection in humans, but animal testing is not always predictive of human outcomes. Because hepatic drug metabolism is a rate-limiting step in the overall clearance of many drugs, primary human hepatocytes (PHHs) in suspension cultures or monolayers are used for drug clearance predictions. Yet, the precipitous decline in drug metabolism capacity can lead to significant underestimation of clearance rates, particularly for low turnover compounds that have desirable one-pill-a-day dosing regimens. In contrast, micropatterned co-cultures (MPCCs) of PHHs and fibroblasts display phenotypic stability for several weeks and can help mitigate the limitations of conventional cultures. Here, we describe protocols to create and use MPCCs for drug clearance predictions, and for modeling clinically-relevant drug-drug interactions that can affect drug clearance. © 2017 by John Wiley & Sons, Inc.

Indexed as

Drug Interactions3T3 CellsAnimalsCell Culture TechniquesCoculture TechniquesCulture MediaFibroblastsHepatocytesHumansMetabolic Clearance RateMicePharmaceutical PreparationsPhenotypeStromal CellsCulture MediaPharmaceutical Preparations3T3-J2 fibroblastscytochrome P450drug metabolismlow turnover drugsprimary human hepatocytes

Identifiers

PMID28463419
PMCPMC5495000
OpenAlexW2613418975

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.