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AbdulHameed MDM, Liu R, Wallqvist A. Using a Graph Convolutional Neural Network Model to Identify Bile Salt Export Pump Inhibitors. ACS OMEGA 2023; 8:21853-21861. [PMID: 37360478 PMCID: PMC10286257 DOI: 10.1021/acsomega.3c01583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023]
Abstract
The bile salt export pump (BSEP) is a key transporter involved in the efflux of bile salts from hepatocytes to bile canaliculi. Inhibition of BSEP leads to the accumulation of bile salts within the hepatocytes, leading to possible cholestasis and drug-induced liver injury. Screening for and identification of chemicals that inhibit this transporter aid in understanding the safety liabilities of these chemicals. Moreover, computational approaches to identify BSEP inhibitors provide an alternative to the more resource-intensive, gold standard experimental approaches. Here, we used publicly available data to develop predictive machine learning models for the identification of potential BSEP inhibitors. Specifically, we analyzed the utility of a graph convolutional neural network (GCNN)-based approach in combination with multitask learning to identify BSEP inhibitors. Our analyses showed that the developed GCNN model performed better than the variable-nearest neighbor and Bayesian machine learning approaches, with a cross-validation receiver operating characteristic area under the curve of 0.86. In addition, we compared GCNN-based single-task and multitask models and evaluated their utility in addressing data limitation challenges commonly observed in bioactivity modeling. We found that multitask models performed better than single-task models and can be utilized to identify active molecules for targets with limited data availability. Overall, our developed multitask GCNN-based BSEP model provides a useful tool for prioritizing hits during early drug discovery and in risk assessment of chemicals.
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Affiliation(s)
- Mohamed Diwan M. AbdulHameed
- Department
of Defense Biotechnology High Performance Computing Software Applications
Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick 21702, Maryland, United States
- The
Henry M. Jackson Foundation for the Advancement of Military Medicine,
Inc., Bethesda 20817, Maryland, United States
| | - Ruifeng Liu
- Department
of Defense Biotechnology High Performance Computing Software Applications
Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick 21702, Maryland, United States
- The
Henry M. Jackson Foundation for the Advancement of Military Medicine,
Inc., Bethesda 20817, Maryland, United States
| | - Anders Wallqvist
- Department
of Defense Biotechnology High Performance Computing Software Applications
Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick 21702, Maryland, United States
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Quantitative Systems Toxicology and Drug Development: The DILIsym Experience. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2486:181-196. [PMID: 35437723 DOI: 10.1007/978-1-0716-2265-0_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
DILIsym® is a Quantitative Systems Toxicology (QST) model that has been developed over the last decade by a public-private partnership to predict the liver safety liability in new drug candidates. DILIsym integrates the quantitative abilities of parent and relevant metabolites to cause oxidative stress, mitochondrial dysfunction, and alter bile acid homeostasis. Like the prediction of drug-drug interactions, the data entered into DILIsym are assessed in the laboratory in human experimental systems, and combined with estimates of liver exposure to predict the outcome. DILIsym is now frequently used in decision-making within the pharmaceutical industry and its modeling results are increasingly included in regulatory communications and NDA submissions. DILIsym can be used to identify dominant mechanisms underlying liver toxicity and this information is increasingly being used to identify patient-specific risk factors, including certain disease states. DILIsym is also increasingly used to optimize the interpretation of liver injury biomarkers. DILIsym provides an example of how QST modeling can help speed the delivery of safer new drugs to the patients who need them.
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Pan G. Roles of Hepatic Drug Transporters in Drug Disposition and Liver Toxicity. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1141:293-340. [PMID: 31571168 DOI: 10.1007/978-981-13-7647-4_6] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Hepatic drug transporters are mainly distributed in parenchymal liver cells (hepatocytes), contributing to drug's liver disposition and elimination. According to their functions, hepatic transporters can be roughly divided into influx and efflux transporters, translocating specific molecules from blood into hepatic cytosol and mediating the excretion of drugs and metabolites from hepatic cytosol to blood or bile, respectively. The function of hepatic transport systems can be affected by interspecies differences and inter-individual variability (polymorphism). In addition, some drugs and disease can redistribute transporters from the cell surface to the intracellular compartments, leading to the changes in the expression and function of transporters. Hepatic drug transporters have been associated with the hepatic toxicity of drugs. Gene polymorphism of transporters and altered transporter expressions and functions due to diseases are found to be susceptible factors for drug-induced liver injury (DILI). In this chapter, the localization of hepatic drug transporters, their regulatory factors, physiological roles, and their roles in drug's liver disposition and DILI are reviewed.
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Affiliation(s)
- Guoyu Pan
- Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, Shanghai, China.
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Kenna JG, Taskar KS, Battista C, Bourdet DL, Brouwer KLR, Brouwer KR, Dai D, Funk C, Hafey MJ, Lai Y, Maher J, Pak YA, Pedersen JM, Polli JW, Rodrigues AD, Watkins PB, Yang K, Yucha RW. Can Bile Salt Export Pump Inhibition Testing in Drug Discovery and Development Reduce Liver Injury Risk? An International Transporter Consortium Perspective. Clin Pharmacol Ther 2019; 104:916-932. [PMID: 30137645 PMCID: PMC6220754 DOI: 10.1002/cpt.1222] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 08/06/2018] [Indexed: 12/15/2022]
Abstract
Bile salt export pump (BSEP) inhibition has emerged as an important mechanism that may contribute to the initiation of human drug‐induced liver injury (DILI). Proactive evaluation and understanding of BSEP inhibition is recommended in drug discovery and development to aid internal decision making on DILI risk. BSEP inhibition can be quantified using in vitro assays. When interpreting assay data, it is important to consider in vivo drug exposure. Currently, this can be undertaken most effectively by consideration of total plasma steady state drug concentrations (Css,plasma). However, because total drug concentrations are not predictive of pharmacological effect, the relationship between total exposure and BSEP inhibition is not causal. Various follow‐up studies can aid interpretation of in vitro BSEP inhibition data and may be undertaken on a case‐by‐case basis. BSEP inhibition is one of several mechanisms by which drugs may cause DILI, therefore, it should be considered alongside other mechanisms when evaluating possible DILI risk.
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Affiliation(s)
| | - Kunal S Taskar
- Mechanistic Safety and Disposition, IVIVT, GlaxoSmithKline, Ware, Hertfordshire, UK
| | - Christina Battista
- DILIsym Services Inc., a Simulations Plus Company, Research Triangle Park, North Carolina, USA
| | - David L Bourdet
- Drug Metabolism and Pharmacokinetics, Theravance Biopharma, South San Francisco, California, USA
| | - Kim L R Brouwer
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - David Dai
- Clinical Pharmacology, Research and Development Sciences, Agios Pharmaceuticals, Cambridge, Massachusetts, USA
| | - Christoph Funk
- Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, Basel, Switzerland
| | - Michael J Hafey
- Department of Pharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck & Co., Inc, Kenilworth, New Jersey, USA
| | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, California, USA
| | - Jonathan Maher
- Safety Assessment, Genentech, South San Francisco, California, USA
| | - Y Anne Pak
- Lilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Jenny M Pedersen
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Novum, Huddinge, Sweden
| | - Joseph W Polli
- Mechanistic Safety and Drug Disposition, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | | | - Paul B Watkins
- Institute for Drug Safety Sciences, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kyunghee Yang
- DILIsym Services Inc., a Simulations Plus Company, Research Triangle Park, North Carolina, USA
| | - Robert W Yucha
- Takeda Pharmaceuticals, Global Drug Metabolism and Pharmacokinetics, Cambridge, Massachusetts, USA
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Takahashi S, Tanaka N, Golla S, Fukami T, Krausz KW, Polunas MA, Weig BC, Masuo Y, Xie C, Jiang C, Gonzalez FJ. Editor's Highlight: Farnesoid X Receptor Protects Against Low-Dose Carbon Tetrachloride-Induced Liver Injury Through the Taurocholate-JNK Pathway. Toxicol Sci 2018; 158:334-346. [PMID: 28505368 DOI: 10.1093/toxsci/kfx094] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Hepatotoxicity is of major concern for humans exposed to industrial chemicals and drugs. Disruption of farnesoid X receptor (FXR), a master regulator of bile acid (BA) metabolism, enhanced the sensitivity to liver injury in mice after toxicant exposure, but the precise mechanism remains unclear. In this study, the interconnection between BA metabolism, FXR, and chemically induced hepatotoxicity was investigated using metabolomics, Fxr-null mice (Fxr-/-) and hepatocytes, and recombinant adenoviruses. A single low-dose intraperitoneal injection of carbon tetrachloride (CCl4), an inducer of acute hepatitis in mice, resulted in more severe hepatocyte damage and higher induction of pro-inflammatory mediators, such as chemokine (C-C motif) ligand 2 (Ccl2), in Fxr-/-. Serum metabolomics analysis revealed marked increases in circulating taurocholate (TCA) and tauro-β-muricholate (T-β-MCA) in these mice, and forced expression of bile salt export protein (BSEP) by recombinant adenovirus in Fxr-/- ameliorated CCl4-induced liver damage. Treatment of Fxr-null hepatocytes with TCA, but not T-β-MCA, significantly increased c-Jun-N-terminal kinase (JNK) activation and Ccl2 mRNA levels, and up-regulation of Ccl2 mRNA was attenuated by co-treatment with a JNK inhibitor SP600125, indicating that TCA directly amplifies hepatocyte inflammatory signaling mainly mediated by JNK under FXR-deficiency. Additionally, pretreatment with SP600125 or restoration of FXR expression in liver by use of recombinant adenovirus, attenuated CCl4-induced liver injury. Collectively, these results suggest that the TCA-JNK axis is likely associated with increased susceptibility to CCl4-induced acute liver injury in Fxr-/-, and provide clues to the mechanism by which FXR and its downstream gene targets, such as BSEP, protects against chemically induced hepatotoxicity.
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Affiliation(s)
- Shogo Takahashi
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Naoki Tanaka
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.,Department of Metabolic Regulation, Shinshu University Graduate School of Medicine, Matsumoto, Nagano 390-8621, Japan
| | - Srujana Golla
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Tatsuki Fukami
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Kristopher W Krausz
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | | | - Blair C Weig
- Department of Pharmacology and Toxicology, Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey 08854
| | - Yusuke Masuo
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Cen Xie
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Changtao Jiang
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Frank J Gonzalez
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
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Light DS, Aleo MD, Kenna JG. Interpretation, Integration, and Implementation of In Vitro Assay Data: The Predictive Toxicity Challenge. METHODS IN PHARMACOLOGY AND TOXICOLOGY 2018. [DOI: 10.1007/978-1-4939-7677-5_17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Individual serum bile acid profiling in rats aids in human risk assessment of drug-induced liver injury due to BSEP inhibition. Toxicol Appl Pharmacol 2017; 338:204-213. [PMID: 29146462 DOI: 10.1016/j.taap.2017.11.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 10/17/2017] [Accepted: 11/09/2017] [Indexed: 11/23/2022]
Abstract
Drug-induced liver injury (DILI) has been the most frequent cause of post-marketing drug withdrawals in the last 50years. The multifactorial nature of events that precede severe liver injury in human patients is difficult to model in rodents due to a variety of confounding or contributing factors that include disease state, concurrent medications, and translational species differences. In retrospective analyses, a consistent risk factor for DILI has been the inhibition of the Bile Salt Export Pump (BSEP). One compound known for potent BSEP inhibition and severe DILI is troglitazone. The purpose of the current study is to determine if serum profiling of 19 individual bile acids by liquid chromatography-mass spectrometry (LC/MS) can detect perturbations in bile acid homeostasis in rats after acute intravenous (IV) administration of vehicle or 5, 25, or 50mg/kg troglitazone. Minimal serum transaminase elevations (approximately two-fold) were observed with no evidence of microscopic liver injury. However, marked changes in individual serum bile acids occurred, with dose-dependent increases in the majority of the bile acids profiled. When compared to predose baseline values, tauromuricholic acid and taurocholic acid had the most robust increase in serum levels and dynamic range, with a maximum fold increase from baseline of 34-fold and 29-fold, respectively. Peak bile acid increases occurred within 2hours (h) after dosing and returned to baseline values before 24h. In conclusion, serum bile acid profiling can potentially identify a mechanistic risk of clinical DILI that could be poorly detected by traditional toxicity endpoints.
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Yu YC, Mao YM, Chen CW, Chen JJ, Chen J, Cong WM, Ding Y, Duan ZP, Fu QC, Guo XY, Hu P, Hu XQ, Jia JD, Lai RT, Li DL, Liu YX, Lu LG, Ma SW, Ma X, Nan YM, Ren H, Shen T, Wang H, Wang JY, Wang TL, Wang XJ, Wei L, Xie Q, Xie W, Yang CQ, Yang DL, Yu YY, Zeng MD, Zhang L, Zhao XY, Zhuang H. CSH guidelines for the diagnosis and treatment of drug-induced liver injury. Hepatol Int 2017; 11:221-241. [PMID: 28405790 PMCID: PMC5419998 DOI: 10.1007/s12072-017-9793-2] [Citation(s) in RCA: 196] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 03/14/2017] [Indexed: 02/07/2023]
Abstract
Drug-induced liver injury (DILI) is an important clinical problem, which has received more attention in recent decades. It can be induced by small chemical molecules, biological agents, traditional Chinese medicines (TCM), natural medicines (NM), health products (HP), and dietary supplements (DS). Idiosyncratic DILI is far more common than intrinsic DILI clinically and can be classified into hepatocellular injury, cholestatic injury, hepatocellular-cholestatic mixed injury, and vascular injury based on the types of injured target cells. The CSH guidelines summarized the epidemiology, pathogenesis, pathology, and clinical manifestation and gives 16 evidence-based recommendations on diagnosis, differential diagnosis, treatment, and prevention of DILI.
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Affiliation(s)
- Yue-Cheng Yu
- Liver Disease Center of PLA, Bayi Hospital, Nanjing University of Chinese Medicine, Nanjing, 210002, China
| | - Yi-Min Mao
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200001, China.
| | - Cheng-Wei Chen
- Shanghai Liver Diseases Research Center, 85th Hospital, Nanjing Military Command, Shanghai, 200235, China.
| | - Jin-Jun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jun Chen
- Liver Diseases Center, Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Wen-Ming Cong
- Department of Pathology, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 201805, China
| | - Yang Ding
- Department of Infectious Disease, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Zhong-Ping Duan
- Artificial Liver Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Qing-Chun Fu
- Shanghai Liver Diseases Research Center, 85th Hospital, Nanjing Military Command, Shanghai, 200235, China
| | - Xiao-Yan Guo
- Department of Gastroenterology, Second Affiliated Hospital, Xi'an Jiaotong University, Xian, 710004, China
| | - Peng Hu
- Department of Infectious Diseases, Institute for Viral Hepatitis, Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China
| | - Xi-Qi Hu
- Department of Pathology, School of Medicine, Fudan University, Shanghai, 200433, China
| | - Ji-Dong Jia
- Liver Research Center, Beijing Friendship Hospital, Capital Medial University, Beijing, 100069, China
| | - Rong-Tao Lai
- Department of Infectious Diseases, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China
| | - Dong-Liang Li
- Department of Hepatobiliary Disease, Fuzhou General Hospital of PLA, Fuzhou, 350025, China
| | - Ying-Xia Liu
- Department of Liver Disease, Shenzhen Third People's Hospital, Shenzhen, 518040, China
| | - Lun-Gen Lu
- Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200080, China
| | - Shi-Wu Ma
- Department of Infectious Diseases, Kunming General Hospital of PLA, Kunming, 650032, China
| | - Xiong Ma
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200001, China
| | - Yue-Min Nan
- Department of Traditional and Western Medical Hepatology, Third Affiliated Hospital, Hebei Medical University, Shijiazhuang, 050051, China
| | - Hong Ren
- Department of Infectious Diseases, Institute for Viral Hepatitis, Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China
| | - Tao Shen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Beijing University, Beijing, 100083, China
| | - Hao Wang
- Institute of Hepatology, People's Hospital, Beijing University, Beijing, 100044, China
| | - Ji-Yao Wang
- Department of Gastroenterology, Zhongshan Hospital, School of Medicine, Fudan University, Shanghai, 200032, China
| | - Tai-Ling Wang
- Department of Pathology, China-Japan Friendship Hospital, Capital Medical University, Beijing, 100029, China
| | - Xiao-Jin Wang
- Shanghai Liver Diseases Research Center, 85th Hospital, Nanjing Military Command, Shanghai, 200235, China
| | - Lai Wei
- Institute of Hepatology, People's Hospital, Beijing University, Beijing, 100044, China
| | - Qing Xie
- Department of Infectious Diseases, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China
| | - Wen Xie
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100011, China
| | - Chang-Qing Yang
- Department of Gastroenterology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065c, China
| | - Dong-Liang Yang
- Department of Infectious Disease, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yan-Yan Yu
- Department of Infectious Disease, Beijing University First Hospital, Beijing, 100034, China
| | - Min-de Zeng
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200001, China
| | - Li Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, 100078c, China
| | - Xin-Yan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medial University, Beijing, 100069, China
| | - Hui Zhuang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Beijing University, Beijing, 100083, China
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Kenna JG. Human biology-based drug safety evaluation: scientific rationale, current status and future challenges. Expert Opin Drug Metab Toxicol 2017; 13:567-574. [PMID: 28150517 DOI: 10.1080/17425255.2017.1290082] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Animal toxicity studies used to assess the safety of new candidate pharmaceuticals prior to their progression into human clinical trials are unable to assess the risk of non-pharmacologically mediated idiosyncratic adverse drug reactions (ADRs), the most frequent of which are drug-induced liver injury and cardiotoxicity. Idiosyncratic ADRs occur only infrequently and in certain susceptible humans, but are caused by many hundreds of different drugs and may lead to serious illness. Areas covered: Idiosyncratic ADRs are initiated by drug-related chemical insults, which cause toxicity due to susceptibility factors that manifest only in certain patients. The chemical insults can be detected using in vitro assays. These enable useful discrimination between drugs that cause high versus low levels of idiosyncratic ADR concern. Especially promising assays, which have been described recently in peer-reviewed scientific literature, are highlighted. Expert opinion: Effective interpretation of in vitro toxicity data requires integration of endpoints from multiple assays, which each address different mechanisms, and must also take account of human systemic and tissue drug exposure in vivo. Widespread acceptance and use of such assays has been hampered by the lack of correlation between idiosyncratic human ADR risk and toxicities observed in vivo in animals.
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Sistare FD, Mattes WB, LeCluyse EL. The Promise of New Technologies to Reduce, Refine, or Replace Animal Use while Reducing Risks of Drug Induced Liver Injury in Pharmaceutical Development. ILAR J 2017; 57:186-211. [DOI: 10.1093/ilar/ilw025] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 07/25/2016] [Accepted: 09/13/2016] [Indexed: 12/19/2022] Open
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Lewis JH. The Art and Science of Diagnosing and Managing Drug-induced Liver Injury in 2015 and Beyond. Clin Gastroenterol Hepatol 2015; 13:2173-89.e8. [PMID: 26116527 DOI: 10.1016/j.cgh.2015.06.017] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 06/15/2015] [Accepted: 06/15/2015] [Indexed: 12/13/2022]
Abstract
Drug-induced liver injury (DILI) remains a leading reason why new compounds are dropped from further study or are the subject of product warnings and regulatory actions. Hy's Law of drug-induced hepatocellular jaundice causing a case-fatality rate or need for transplant of 10% or higher has been validated in several large national registries, including the ongoing, prospective U.S. Drug-Induced Liver Injury Network. It serves as the basis for stopping rules in clinical trials and in clinical practice. Because DILI can mimic all known causes of acute and chronic liver disease, establishing causality can be difficult. Histopathologic findings are often nonspecific and rarely, if ever, considered pathognomonic. A daily drug dose >50-100 mg is more likely to be hepatotoxic than does <10 mg, especially if the compound is highly lipophilic or undergoes extensive hepatic metabolism. The quest for a predictive biomarker to replace alanine aminotransferase is ongoing. Markers of necrosis and apoptosis such as microRNA-122 and keratin 18 may prove useful in identifying patients at risk for severe injury when they initially present with a suspected acetaminophen overdose. Although a number of drugs causing idiosyncratic DILI have HLA associations that may allow for pre-prescription testing to prevent hepatotoxicity, the cost and relatively low frequency of injury among affected patients limit the current usefulness of such genome-wide association studies. Alanine aminotransferase monitoring is often recommended but has rarely been shown to be an effective method to prevent serious DILI. Guidelines on the diagnosis and management of DILI have recently been published, although specific therapies remain limited. The LiverTox Web site has been introduced as an interactive online virtual textbook that makes the latest information on more than 650 agents available to clinicians, regulators, and drug developers alike.
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Affiliation(s)
- James H Lewis
- Hepatology Section, Division of Gastroenterology, Georgetown University Hospital, Washington, District of Columbia.
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