Evidence map›Paper›PMID 30135245›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2018

Advances in Engineered Human Liver Platforms for Drug Metabolism Studies.

Gregory H Underhill, Salman R Khetani

Open access · bronzeAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 60 citations in OpenAlex.

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  12. In Vitro Models for Studying Chronic Drug-Induced Liver Injury.International journal of molecular sciences · 2022
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  17. iScience · 2022
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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 1 institution in 1 country.

Gregory H UnderhillDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois; and Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois gunderhi@illinois.edu skhetani@uic.edu.
Salman R KhetaniDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois; and Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois gunderhi@illinois.edu skhetani@uic.edu.
University of Illinois Urbana-Champaign · US

Funding

Synergistic effects of ECM and heterotypic crosstalk on cellular responses in non-alcoholic fatty liver diseaseR01DK115747 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Salman R Khetani, Gregory H Underhill · 2018 to 2026
$3.7M
NIDDK NIH HHS R01 DK115747
6 · The paper itself

Abstract

Metabolism in the liver often determines the overall clearance rates of many pharmaceuticals. Furthermore, induction or inhibition of the liver drug metabolism enzymes by perpetrator drugs can influence the metabolism of victim drugs (drug-drug interactions). Therefore, determining liver-drug interactions is critical during preclinical drug development. Unfortunately, studies in animals are often of limited value because of significant differences in the metabolic pathways of the liver across different species. To mitigate such limitations, the pharmaceutical industry uses a continuum of human liver models, ranging from microsomes to transfected cell lines and cultures of primary human hepatocytes (PHHs). Of these models, PHHs provide a balance of high-throughput testing capabilities together with a physiologically relevant cell type that exhibits all the characteristic enzymes, cofactors, and transporters. However, PHH monocultures display a rapid decline in metabolic capacity. Consequently, bioengineers have developed several tools, such as cellular microarrays, micropatterned cocultures, self-assembled and bioprinted spheroids, and perfusion devices, to enhance and stabilize PHH functions for ≥2 weeks. Many of these platforms have been validated for drug studies, whereas some have been adapted to include liver nonparenchymal cells that can influence hepatic drug metabolism in health and disease. Here, we focus on the design features of such platforms and their representative drug metabolism validation datasets, while discussing emerging trends. Overall, the use of engineered human liver platforms in the pharmaceutical industry has been steadily rising over the last 10 years, and we anticipate that these platforms will become an integral part of drug development with continued commercialization and validation for routine screening use.

Indexed as

BioengineeringCoculture TechniquesDrug InteractionsHepatocytesHumansInactivation, MetabolicLiverMetabolic Clearance RateMetabolic Networks and PathwaysPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID30135245
PMCPMC6199629
OpenAlexW2888239628

What Socratic 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 Socratic graph.