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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...
Hepatitis01:25

Hepatitis

Hepatitis is an inflammatory condition of the liver most commonly caused by hepatotropic viruses (A–E), though non-infectious causes such as alcohol and drugs also exist.Hepatitis AHepatitis A virus (HAV) is a non-enveloped RNA virus of the Picornaviridae family. It is primarily transmitted via the fecal-oral route, typically through ingestion of contaminated food or water. After ingestion, HAV enters the bloodstream through the oropharynx or intestinal epithelium and reaches the liver. The...
Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow01:26

Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow

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...
Effect of Hepatic Disease on Pharmacokinetics: Active Drug, Metabolite and Fraction of Metabolized Drug01:14

Effect of Hepatic Disease on Pharmacokinetics: Active Drug, Metabolite and Fraction of Metabolized Drug

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...
Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment01:08

Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment

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...
Hepatic Drug Excretion: Influencing Factors01:16

Hepatic Drug Excretion: Influencing Factors

The biliary system of the liver, crucial for bile secretion and drug excretion, comprises intrahepatic bile ducts that merge to form the common hepatic duct. This duct, carrying hepatic bile, combines with the cystic duct, draining the gallbladder and forming the common bile duct, which empties into the duodenum. Bile, produced by hepatic cells lining the bile canaliculi, is composed primarily of water, bile salts, pigments, electrolytes, and lesser amounts of cholesterol and fatty acids. Bile...

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Related Experiment Video

Updated: Jun 26, 2026

A Competent Hepatocyte Model Examining Hepatitis B Virus Entry through Sodium Taurocholate Cotransporting Polypeptide as a Therapeutic Target
11:34

A Competent Hepatocyte Model Examining Hepatitis B Virus Entry through Sodium Taurocholate Cotransporting Polypeptide as a Therapeutic Target

Published on: May 10, 2022

Predicting response to hepatitis C therapy.

Thomas S Oh1, Charles M Rice

  • 1Center for the Study of Hepatitis C, The Rockefeller University, New York, NY 10065, USA.

The Journal of Clinical Investigation
|December 24, 2008
PubMed
Summary
This summary is machine-generated.

Predicting treatment failure in chronic hepatitis C (HCV) is crucial. New genetic markers from viral sequences can now forecast treatment success, potentially saving patients significant costs and side effects.

More Related Videos

A Protocol for Analyzing Hepatitis C Virus Replication
13:04

A Protocol for Analyzing Hepatitis C Virus Replication

Published on: June 26, 2014

Related Experiment Videos

Last Updated: Jun 26, 2026

A Competent Hepatocyte Model Examining Hepatitis B Virus Entry through Sodium Taurocholate Cotransporting Polypeptide as a Therapeutic Target
11:34

A Competent Hepatocyte Model Examining Hepatitis B Virus Entry through Sodium Taurocholate Cotransporting Polypeptide as a Therapeutic Target

Published on: May 10, 2022

A Protocol for Analyzing Hepatitis C Virus Replication
13:04

A Protocol for Analyzing Hepatitis C Virus Replication

Published on: June 26, 2014

Area of Science:

  • Hepatology and Virology
  • Genomics and Bioinformatics

Background:

  • Chronic hepatitis C (HCV) treatment is costly, has side effects, and fails nearly 50% of the time.
  • Predicting treatment outcomes before initiation could improve patient care and reduce healthcare expenses.

Discussion:

  • Aurora and colleagues identified genetic markers for HCV treatment response.
  • Analysis of pretreatment viral sequences revealed mutation patterns linked to treatment success or failure.

Key Insights:

  • Genome-wide covariation analysis of 94 patients' viral sequences identified predictive mutation patterns.
  • Distinct mutation signatures correlate strongly with treatment efficacy in chronic hepatitis C.

Outlook:

  • These findings suggest potential biomarkers for predicting HCV treatment response.
  • Further research may uncover new biological insights into hepatitis C pathogenesis and treatment resistance.