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Application of a Mechanistic Model to Evaluate Putative Mechanisms of Tolvaptan Drug-Induced Liver Injury and Identify Patient Susceptibility Factors

Toxicological sciences, 2017-01, Vol.155 (1), p.61-74

2017

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Applications of Quantitative Systems Pharmacology (QSP) in Drug Development for NAFLD and NASH and Its Regulatory Application

Pharmaceutical research, 2022-08, Vol.39 (8), p.1789-1802

Siler, Scott Q.

2022

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Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury

Journal of pharmaceutical sciences, 2016-02, Vol.105 (2), p.443-459

2016

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The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury

International journal of molecular sciences, 2023-06, Vol.24 (11), p.9692

2023

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The role of quantitative systems pharmacology modeling in the prediction and explanation of idiosyncratic drug-induced liver injury

Drug metabolism and pharmacokinetics, 2017-02, Vol.32 (1), p.40-45

2017

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Investigating bile acid-mediated cholestatic drug-induced liver injury using a mechanistic model of multidrug resistance protein 3 (MDR3) inhibition

Frontiers in pharmacology, 2023-01, Vol.13, p.1085621

2023

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Exploring BSEP inhibition-mediated toxicity with a mechanistic model of drug-induced liver injury

Frontiers in pharmacology, 2014, Vol.5, p.240-240

2014

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Linking physiology to toxicity using DILIsym®, a mechanistic mathematical model of drug-induced liver injury

Biopharmaceutics & drug disposition, 2014-01, Vol.35 (1), p.33-49

2014

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In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI

Journal of pharmacokinetics and pharmacodynamics, 2012-10, Vol.39 (5), p.527-541

2012

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Comparing the Liver Safety Profiles of 4 Next-Generation CGRP Receptor Antagonists to the Hepatotoxic CGRP Inhibitor Telcagepant Using Quantitative Systems Toxicology Modeling

Toxicological sciences, 2022-06, Vol.188 (1), p.108-116

2022

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Mechanistic Modelling of Drug-Induced Liver Injury: Investigating the Role of Innate Immune Responses

Gene Regulation and Systems Biology, 2017-05, Vol.2017 (11), p.1-22-003

2017

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Considerations for Physiologically Based Modeling in Liver Disease: From Nonalcoholic Fatty Liver (NAFL) to Nonalcoholic Steatohepatitis (NASH)

Clinical pharmacology and therapeutics, 2023-02, Vol.113 (2), p.275-297

2023

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Modeling drug- and chemical-induced hepatotoxicity with systems biology approaches

Frontiers in physiology, 2012-01, Vol.3, p.462

2012

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De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption

The American journal of clinical nutrition, 1999-11, Vol.70 (5), p.928-936

1999

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Quantitative systems toxicology (QST) reproduces species differences in PF‐04895162 liver safety due to combined mitochondrial and bile acid toxicity

Pharmacology research & perspectives, 2019-12, Vol.7 (6), p.e00523-n/a

2019

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Analyzing the Mechanisms Behind Macrolide Antibiotic-Induced Liver Injury Using Quantitative Systems Toxicology Modeling

Pharmaceutical research, 2019-03, Vol.36 (3), p.48-12, Article 48

2019

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Quantitative Systems Toxicology Analysis of In Vitro Mechanistic Assays Reveals Importance of Bile Acid Accumulation and Mitochondrial Dysfunction in TAK-875-Induced Liver Injury

Toxicological sciences, 2019-02, Vol.167 (2), p.458-467

2019

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Use of a systems model of drug-induced liver injury (DILIsym®) to elucidate the mechanistic differences between acetaminophen and its less-toxic isomer, AMAP, in mice

Toxicology letters, 2014-04, Vol.226 (2), p.163-172

2014

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Using Quantitative Systems Toxicology to Investigate Observed Species Differences in CKA-Mediated Hepatotoxicity

Toxicological sciences, 2018-11, Vol.166 (1), p.123-130

2018

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An analysis of N-acetylcysteine treatment for acetaminophen overdose using a systems model of drug-induced liver injury

The Journal of pharmacology and experimental therapeutics, 2012-08, Vol.342 (2), p.529-540

2012

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The inhibition of gluconeogenesis following alcohol in humans

American journal of physiology: endocrinology and metabolism, 1998-11, Vol.275 (5), p.E897-E907

1998

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Dose-response in a high density three-dimensional liver device with real-time bioenergetic and metabolic flux quantification

Toxicology in vitro, 2017-12, Vol.45 (Pt 1), p.119-127

2017

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Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling

Clinical and translational science, 2018-09, Vol.11 (5), p.498-505

2018

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VLDL-triglyceride production after alcohol ingestion, studied using [2-13C1] glycerol

Journal of lipid research, 1998-12, Vol.39 (12), p.2319-2328

1998

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Treatment with Sitagliptin or Metformin Does Not Increase Body Weight despite Predicted Reductions in Urinary Glucose Excretion

Journal of diabetes science and technology, 2009-01, Vol.3 (1), p.68-82

2009

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Application of a Mechanistic Model to Evaluate Putative Mechanisms of Tolvaptan Drug-Induced Liver Injury and Identify Patient Susceptibility Factors

Applications of Quantitative Systems Pharmacology (QSP) in Drug Development for NAFLD and NASH and Its Regulatory Application

Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury

The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury

The role of quantitative systems pharmacology modeling in the prediction and explanation of idiosyncratic drug-induced liver injury

Investigating bile acid-mediated cholestatic drug-induced liver injury using a mechanistic model of multidrug resistance protein 3 (MDR3) inhibition

Exploring BSEP inhibition-mediated toxicity with a mechanistic model of drug-induced liver injury

Linking physiology to toxicity using DILIsym®, a mechanistic mathematical model of drug-induced liver injury

In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI

Comparing the Liver Safety Profiles of 4 Next-Generation CGRP Receptor Antagonists to the Hepatotoxic CGRP Inhibitor Telcagepant Using Quantitative Systems Toxicology Modeling

Mechanistic Modelling of Drug-Induced Liver Injury: Investigating the Role of Innate Immune Responses

Considerations for Physiologically Based Modeling in Liver Disease: From Nonalcoholic Fatty Liver (NAFL) to Nonalcoholic Steatohepatitis (NASH)

Modeling drug- and chemical-induced hepatotoxicity with systems biology approaches

De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption

Quantitative systems toxicology (QST) reproduces species differences in PF‐04895162 liver safety due to combined mitochondrial and bile acid toxicity

Analyzing the Mechanisms Behind Macrolide Antibiotic-Induced Liver Injury Using Quantitative Systems Toxicology Modeling

Quantitative Systems Toxicology Analysis of In Vitro Mechanistic Assays Reveals Importance of Bile Acid Accumulation and Mitochondrial Dysfunction in TAK-875-Induced Liver Injury

Use of a systems model of drug-induced liver injury (DILIsym®) to elucidate the mechanistic differences between acetaminophen and its less-toxic isomer, AMAP, in mice

Using Quantitative Systems Toxicology to Investigate Observed Species Differences in CKA-Mediated Hepatotoxicity

An analysis of N-acetylcysteine treatment for acetaminophen overdose using a systems model of drug-induced liver injury

The inhibition of gluconeogenesis following alcohol in humans

Dose-response in a high density three-dimensional liver device with real-time bioenergetic and metabolic flux quantification

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling

VLDL-triglyceride production after alcohol ingestion, studied using [2-13C1] glycerol

Treatment with Sitagliptin or Metformin Does Not Increase Body Weight despite Predicted Reductions in Urinary Glucose Excretion

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