Literature DB >> 27766365

Current limitations and future opportunities for prediction of DILI from in vitro.

Christoph Funk1, Adrian Roth2.   

Abstract

Drug-induced liver injury (DILI) is a major concern for drug developers, regulators and clinicians. It is triggered by drug and xenobiotic insults leading to liver impairment or damage, in the worst-case liver failure. In contrast to acute "intrinsic" hepatotoxicity, DILI typically manifests in a very small subset of the population under treatment with no clear dose relationship and inconsistent temporal patterns and is therefore termed an idiosyncratic event. Involved are multifactorial, compound-dependent mechanisms and host-specific factors, making the prediction in preclinical test systems very challenging. While preclinical safety studies in animals usually are able to capture direct, acute liver toxicities, they are less predictive for human DILI, where specific, human-derived in vitro models can potentially close the gap. On one hand, mechanistic approaches addressing key mechanisms involved in DILI in well-characterized and standardized in vitro test systems have been developed. On the other hand, co-cultures of different cell types, including patient- and/or stem cell-derived cells, in a three-dimensional setup allow for prolonged incubations and multiplexed readouts. Such complex setups might better reflect multifactorial human DILI. One major challenge is that for many compounds with human DILI the underlying mechanisms are not yet fully understood, complicating establishment and validation of predictive cellular tools. A tiered approach including rapid mechanism-based in vitro screens followed by confirmatory tests in more physiologically relevant models might allow minimizing DILI risk early on in vitro. Such complex, integrated approaches will gain from larger collaborations in multidisciplinary groups bringing existing knowledge and state-of-the-art technology together.

Entities:  

Keywords:  3D cell culture; DILI; Drug-induced liver injury; Hepatotoxicity; In vitro; Predictive toxicology

Mesh:

Substances:

Year:  2016        PMID: 27766365     DOI: 10.1007/s00204-016-1874-9

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  14 in total

1.  Advances in Engineered Human Liver Platforms for Drug Metabolism Studies.

Authors:  Gregory H Underhill; Salman R Khetani
Journal:  Drug Metab Dispos       Date:  2018-08-22       Impact factor: 3.922

2.  An in vitro coculture system of human peripheral blood mononuclear cells with hepatocellular carcinoma-derived cells for predicting drug-induced liver injury.

Authors:  Shingo Oda; Yuka Uchida; Michael D Aleo; Petra H Koza-Taylor; Yusuke Matsui; Masanori Hizue; Lisa D Marroquin; Jessica Whritenour; Eri Uchida; Tsuyoshi Yokoi
Journal:  Arch Toxicol       Date:  2020-08-20       Impact factor: 5.153

3.  Why Drugs Fail in Late Stages of Development: Case Study Analyses from the Last Decade and Recommendations.

Authors:  Dolly A Parasrampuria; Leslie Z Benet; Amarnath Sharma
Journal:  AAPS J       Date:  2018-03-13       Impact factor: 4.009

4.  Oxidative-stress and long-term hepatotoxicity: comparative study in Upcyte human hepatocytes and hepaRG cells.

Authors:  M Teresa Donato; Nuria Jiménez; María Pelechá; Laia Tolosa
Journal:  Arch Toxicol       Date:  2022-02-14       Impact factor: 5.153

5.  Hepatic Organoid-Based High-Content Imaging Boosts Evaluation of Stereoisomerism-Dependent Hepatotoxicity of Stilbenes in Herbal Medicines.

Authors:  Juan Liu; Tingting Li; Ruihong Li; Jie Wang; Pengyan Li; Ming Niu; Le Zhang; Chunyu Li; Tao Wang; Xiaohe Xiao; Jia-Bo Wang; Yunfang Wang
Journal:  Front Pharmacol       Date:  2022-05-17       Impact factor: 5.988

6.  The role of hepatic cytochrome P450s in the cytotoxicity of dronedarone.

Authors:  Si Chen; Qiangen Wu; Baitang Ning; Matthew Bryant; Lei Guo
Journal:  Arch Toxicol       Date:  2018-04-03       Impact factor: 5.153

7.  Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

Authors:  Xiaobin Liu; Danhua Zheng; Yi Zhong; Zhaofan Xia; Heng Luo; Zuquan Weng
Journal:  Biomed Res Int       Date:  2020-05-19       Impact factor: 3.411

8.  Proteomics Analysis of Monocyte-Derived Hepatocyte-Like Cells Identifies Integrin Beta 3 as a Specific Biomarker for Drug-Induced Liver Injury by Diclofenac.

Authors:  Diana Dragoi; Andreas Benesic; Garwin Pichler; Nils A Kulak; Harald S Bartsch; Alexander L Gerbes
Journal:  Front Pharmacol       Date:  2018-07-04       Impact factor: 5.810

9.  Bavachinin Induces Oxidative Damage in HepaRG Cells through p38/JNK MAPK Pathways.

Authors:  Shan Wang; Min Wang; Min Wang; Yu Tian; Xiao Sun; Guibo Sun; Xiaobo Sun
Journal:  Toxins (Basel)       Date:  2018-04-12       Impact factor: 5.075

Review 10.  The evolution of strategies to minimise the risk of human drug-induced liver injury (DILI) in drug discovery and development.

Authors:  Paul A Walker; Stephanie Ryder; Andrea Lavado; Clive Dilworth; Robert J Riley
Journal:  Arch Toxicol       Date:  2020-05-06       Impact factor: 5.153

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