Evidence map›Paper›PMID 28062541›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2017

Evaluation of a Novel Renewable Hepatic Cell Model for Prediction of Clinical CYP3A4 Induction Using a Correlation-Based Relative Induction Score Approach.

Rongjun Zuo, Feng Li, Sweta Parikh, Li Cao, Kirsten L Cooper, Yulong Hong, Jin Liu, Ronald A Faris, Daochuan Li, Hongbing Wang

Open access · hybridAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Rongjun ZuoCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.) zuor@corning.com.
Feng LiCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Sweta ParikhCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Li CaoCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Kirsten L CooperCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Yulong HongCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Jin LiuCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Ronald A FarisCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Daochuan LiCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Hongbing WangCorning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).
Corning (United States) · USUniversity of Maryland, Baltimore · US

Funding

Regulation of CYP2B6 in Human LIverR01DK061652 · NIDDK · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI WANG, HONGBING · 2003 to 2015
$3.7M
NIDDK NIH HHS R01 DK061652
6 · The paper itself

Abstract

Metabolism enzyme induction-mediated drug-drug interactions need to be carefully characterized in vitro for drug candidates to predict in vivo safety risk and therapeutic efficiency. Currently, both the Food and Drug Administration and European Medicines Agency recommend using primary human hepatocytes as the gold standard in vitro test system for studying the induction potential of candidate drugs on cytochrome P450 (CYP), CYP3A4, CYP1A2, and CYP2B6. However, primary human hepatocytes are known to bear inherent limitations such as limited supply and large lot-to-lot variations, which result in an experimental burden to qualify new lots. To overcome these shortcomings, a renewable source of human hepatocytes (i.e., Corning HepatoCells) was developed from primary human hepatocytes and was evaluated for in vitro CYP3A4 induction using methods well established by the pharmaceutical industry. HepatoCells have shown mature hepatocyte-like morphology and demonstrated primary hepatocyte-like response to prototypical inducers of all three CYP enzymes with excellent consistency. Importantly, HepatoCells retain a phenobarbital-responsive nuclear translocation of human constitutive androstane receptor from the cytoplasm, characteristic to primary hepatocytes. To validate HepatoCells as a useful tool to predict potential clinical relevant CYP3A4 induction, we tested three different lots of HepatoCells with a group of clinical strong, moderate/weak CYP3A4 inducers, and noninducers. A relative induction score calibration curve-based approach was used for prediction. HepatoCells showed accurate prediction comparable to primary human hepatocytes. Together, these results demonstrate that Corning HepatoCells is a reliable in vitro model for drug-drug interaction studies during the early phase of drug testing.

Indexed as

Models, BiologicalCells, CulturedConstitutive Androstane ReceptorCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersDose-Response Relationship, DrugDrug Evaluation, PreclinicalFemaleGenotypeHepatocytesHumansPredictive Value of TestsPrimary Cell CultureReceptors, Cytoplasmic and NuclearConstitutive Androstane ReceptorCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersReceptors, Cytoplasmic and Nuclear

Identifiers

PMID28062541
PMCPMC5267519
OpenAlexW2568414726

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Registered trials

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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.