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Related Concept Videos

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test01:22

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test

In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess the...
Toxicity Testing in Animals01:23

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
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Hepatic impairment, characterized by decreased liver function, does not uniformly mandate adjustments in drug dosage. Whether dosage modifications are necessary depends on various factors related to the drug's metabolism and elimination pathways. If a drug is primarily excreted via the kidneys and bypasses significant hepatic processing, if it undergoes minimal metabolic transformation in the liver, or if it is volatile and primarily expelled through the lungs, dose adjustments may not be...
Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow01:26

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Chronic liver disease significantly impacts drug metabolism due to alterations in hepatic blood flow and enzyme accessibility. This disruption affects the body's pharmacokinetics—the movement and processing of drugs within the system. Key enzymes crucial for metabolizing medications become less accessible, changing how drugs are processed and utilized. Furthermore, liver disease influences the synthesis of plasma proteins, such as albumin and globulins, which play critical roles in drug binding...
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In pharmacotherapy, monitoring drug concentrations is paramount, especially for drugs whose therapeutic effects hinge on both the active compound and its metabolite. Hepatic impairment profoundly influences drug potency by altering liver function. If the drug is more potent than its metabolite, impaired liver function amplifies drug activity due to elevated drug concentration levels. Conversely, if the metabolite holds greater potency, diminished liver function diminishes drug activity by...
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Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect

The pharmacokinetic-pharmacodynamic (PK-PD) relationship describes the intricate link between drug exposure, efficacy, and toxicity, forming the foundation for optimal dosing regimens. This relationship uses mathematical modeling to characterize drug concentration-effect dynamics, ensuring precise therapeutic outcomes.Exposure represents the pharmacokinetic aspect of the PK-PD relationship, denoting the drug amount that elicits a biological response. It is typically quantified by administered...

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Related Experiment Video

Updated: Jun 30, 2026

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
11:06

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro

Published on: January 31, 2022

DILI-Context: A Dose- and Exposure-Enriched Knowledge Base for Translational Liver Safety Assessment.

Rohola Zandie1,2, Robert Betancort1, Farhan Khodaee1,2

  • 1Absentia Labs, Inc.

Toxicological Sciences : an Official Journal of the Society of Toxicology
|June 29, 2026
PubMed
Summary

Drug-induced liver injury (DILI) risk is better understood by considering dose and exposure, not just hazard. Higher doses and narrower safety margins correlate with increased DILI severity, informing safer drug development.

Keywords:
Drug-induced liver injuryExposure-response relationshipsHepatotoxicityLiver toxicityMachine learningTherapeutic index

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Last Updated: Jun 30, 2026

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08:59

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment

Published on: December 3, 2020

Area of Science:

  • Pharmacology and Toxicology
  • Drug Safety and Development
  • Computational Chemistry

Background:

  • Drug-induced liver injury (DILI) is a primary reason for drug development failure and market withdrawal.
  • Current DILI datasets lack exposure-dependent risk, focusing instead on categorical hazard labels.
  • This limits understanding to inherent hazard rather than context-dependent exposure risks.

Purpose of the Study:

  • To develop DILI-Context, a knowledge base integrating dose and exposure data with hazard annotations.
  • To contextualize hepatotoxic liability using therapeutic dose, duration, and preclinical safety thresholds.
  • To advance exposure-aware DILI modeling and risk assessment.

Main Methods:

  • Integrated DILI hazard annotations with regulatory and toxicological data, including therapeutic dose and duration.
  • Analyzed relationships between dose, safety margins (Therapeutic Index, Margin of Safety), and DILI severity.
  • Introduced Chronic Load Score, combining dose magnitude and treatment duration.
  • Compared structure-only classifiers with those incorporating exposure-derived covariates.

Main Results:

  • A monotonic relationship exists between therapeutic dose and DILI severity.
  • Drugs with higher DILI risk have narrower therapeutic windows and reduced safety margins.
  • Chronic no-effect thresholds (NOAEL) are more effective than lowest-effect endpoints (LOAEL) for DILI risk discrimination.
  • Chronic Load Score effectively stratifies DILI concern and aligns with regulatory signals.
  • Exposure-derived covariates provide complementary predictive signals to structural information.

Conclusions:

  • Hepatotoxic liability is strongly associated with required systemic exposure and limited safety margins.
  • DILI-Context provides a resource for exposure-aware DILI modeling.
  • The findings support a shift towards exposure-dependent risk assessment in DILI studies.