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

被引:42
作者
Funk, Christoph [1 ]
Roth, Adrian [1 ]
机构
[1] Roche Innovat Ctr Basel, Roche Pharmaceut Res & Early Dev, Bldg 73,Room 117B, CH-4070 Basel, Switzerland
关键词
Drug-induced liver injury; DILI; Hepatotoxicity; In vitro; Predictive toxicology; 3D cell culture; INDUCED LIVER-INJURY; SALT EXPORT PUMP; INDUCED HEPATOTOXICITY; DRUG HEPATOTOXICITY; HUMAN HEPATOCYTES; HEPG2; CELLS; MICROPATTERNED COCULTURES; ADVERSE-REACTIONS; MODEL; RISK;
D O I
10.1007/s00204-016-1874-9
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
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.
引用
收藏
页码:131 / 142
页数:12
相关论文
共 66 条
[1]   Human Drug-Induced Liver Injury Severity Is Highly Associated With Dual Inhibition of Liver Mitochondrial Function and Bile Salt Export Pump [J].
Aleo, Michael D. ;
Luo, Yi ;
Swiss, Rachel ;
Bonin, Paul D. ;
Potter, David M. ;
Will, Yvonne .
HEPATOLOGY, 2014, 60 (03) :1015-1022
[2]   Mitochondrial abnonnalities - A link to idiosyncratic drug hepatotoxicity? [J].
Boelsterli, Urs A. ;
Lim, Priscilla L. K. .
TOXICOLOGY AND APPLIED PHARMACOLOGY, 2007, 220 (01) :92-107
[3]  
Brink A, 2016, DRUG DISCOC IN PRESS
[4]   ACG Clinical Guideline: The Diagnosis and Management of Idiosyncratic Drug-Induced Liver Injury [J].
Chalasani, Naga P. ;
Hayashi, Paul H. ;
Bonkovsky, Herbert L. ;
Navarro, Victor J. ;
Lee, William M. ;
Fontana, Robert J. .
AMERICAN JOURNAL OF GASTROENTEROLOGY, 2014, 109 (07) :950-966
[5]   Drug-induced liver injury: what was new in 2013? [J].
Chalhoub, Walid M. ;
Sliman, Kayla D. ;
Arumuganathan, Meera ;
Lewis, James H. .
EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY, 2014, 10 (07) :959-980
[6]   DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans [J].
Chen, Minjun ;
Suzuki, Ayako ;
Thakkar, Shraddha ;
Yu, Ke ;
Hu, Chuchu ;
Tong, Weida .
DRUG DISCOVERY TODAY, 2016, 21 (04) :648-653
[7]   Drug-induced liver injury: Interactions between drug properties and host factors [J].
Chen, Minjun ;
Suzuki, Ayako ;
Borlak, Juergen ;
Andrade, Raul J. ;
Lucena, M. Isabel .
JOURNAL OF HEPATOLOGY, 2015, 63 (02) :503-514
[8]   Predicting idiosyncratic drug-induced liver injury - some recent advances [J].
Chen, Minjun ;
Borlak, Juergen ;
Tong, Weida .
EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY, 2014, 8 (07) :721-723
[9]   A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model [J].
Chen, Minjun ;
Tung, Chun-Wei ;
Shi, Qiang ;
Guo, Lei ;
Shi, Leming ;
Fang, Hong ;
Borlak, Jurgen ;
Tong, Weida .
ARCHIVES OF TOXICOLOGY, 2014, 88 (07) :1439-1449
[10]   Toward predictive models for drug-induced liver injury in humans: are we there yet? [J].
Chen, Minjun ;
Bisgin, Halil ;
Tong, Lillian ;
Hong, Huixiao ;
Fang, Hong ;
Borlak, Juergen ;
Tong, Weida .
BIOMARKERS IN MEDICINE, 2014, 8 (02) :201-213