Evidence map›Paper›PMID 37296597›Full record

ReviewCells2023

Microphysiological Models for Mechanistic-Based Prediction of Idiosyncratic DILI.

Sydney Stern, Hongbing Wang, Nakissa Sadrieh

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. In vitro liver models for toxicological research.Drug metabolism and pharmacokinetics · 2025
    Review
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

Sydney SternDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street, Baltimore, MD 21201, USA.
Hongbing WangDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street, Baltimore, MD 21201, USA.ORCID 0000-0002-6224-6888
Nakissa SadriehOffice of New Drugs, Center of Drug Evaluation and Research, FDA, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA.
University of Maryland, Baltimore · USCenter for Drug Evaluation and Research · US

Funding

University of Maryland Center of Excellence in Regulatory Science and InnovationU01FD005946 · FDA · UNIV OF MARYLAND, COLLEGE PARK · PI BENTLEY, WILLIAM E., POLLI, JAMES E · 2016 to 2025
$21.5M
Novel noncanonical actions of CAR in human LiverR01CA262084 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, HONGBING · 2021 to 2025
$2.0M
Human CYP2B6 in alcohol metabolism and alcoholic liver injuryR21AA028521 · NIAAA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, HONGBING · 2020 to 2021
$406k
FDA HHS U01 FD005946NCI NIH HHS R01 CA262084NCI NIH HHS R01CA262084NIAAA NIH HHS R21AA028521
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is a major contributor to high attrition rates among candidate and market drugs and a key regulatory, industry, and global health concern. While acute and dose-dependent DILI, namely, intrinsic DILI, is predictable and often reproducible in preclinical models, the nature of idiosyncratic DILI (iDILI) limits its mechanistic understanding due to the complex disease pathogenesis, and recapitulation using in vitro and in vivo models is extremely challenging. However, hepatic inflammation is a key feature of iDILI primarily orchestrated by the innate and adaptive immune system. This review summarizes the in vitro co-culture models that exploit the role of the immune system to investigate iDILI. Particularly, this review focuses on advancements in human-based 3D multicellular models attempting to supplement in vivo models that often lack predictability and display interspecies variations. Exploiting the immune-mediated mechanisms of iDILI, the inclusion of non-parenchymal cells in these hepatoxicity models, namely, Kupffer cells, stellate cells, dendritic cells, and liver sinusoidal endothelial cells, introduces heterotypic cell-cell interactions and mimics the hepatic microenvironment. Additionally, drugs recalled from the market in the US between 1996-2010 that were studies in these various models highlight the necessity for further harmonization and comparison of model characteristics. Challenges regarding disease-related endpoints, mimicking 3D architecture with different cell-cell contact, cell source, and the underlying multi-cellular and multi-stage mechanisms are described. It is our belief that progressing our understanding of the underlying pathogenesis of iDILI will provide mechanistic clues and a method for drug safety screening to better predict liver injury in clinical trials and post-marketing.

Indexed as

Chemical and Drug Induced Liver InjuryEndothelial CellsDrug Evaluation, PreclinicalHepatocytesHumansdrug-induced liver injuryhepatotoxicityidiosyncraticmicrophysiological models

Identifiers

PMID37296597
PMCPMC10253021
OpenAlexW4378469503

What OpenQuestion 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 OpenQuestion graph.