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Author Spotlight: Developing a Simple and Robust Hepatic Model for Pharmacological and Toxicological Applications
Published on: October 20, 2023
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Stoichiometry based steady-state hepatic flux analysis: computational and experimental aspects
Mehmet A Orman1, John Mattick1, Ioannis P Androulakis1
1Department of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA.
Metabolites
|June 25, 2014
Summary
This review details hepatic metabolic models and experimental methods for studying liver function and disease. It explores how these tools help understand metabolic changes in conditions like injury and toxin exposure.
Area of Science:
- Hepatology
- Metabolic Engineering
- Systems Biology
Background:
- The liver performs vital metabolic functions, including detoxification and nutrient processing.
- Aberrant liver metabolism is implicated in diseases such as burns, infections, and trauma.
- Liver cells and perfusion systems are crucial for studying drug toxicity and metabolic disorders.
Purpose of the Study:
- To review hepatic metabolic models and experimental methodologies for liver research.
- To highlight the application of metabolic engineering in understanding liver function.
- To discuss challenges and opportunities in liver metabolic studies.
Main Methods:
- In vitro experiments using liver cells (hepatocytes).
- Isolated liver perfusion systems for real-time metabolic analysis.
- Metabolic engineering tools: metabolic flux analysis, flux balance analysis, and pathway analysis.
Main Results:
- Liver models and perfusion systems effectively characterize metabolic changes due to injury, toxins, and ischemia.
- Metabolic engineering tools enable detailed analysis of metabolic flux and network topology.
- Hepatic models provide insights into disease-associated metabolic dysregulation.
Conclusions:
- Hepatic metabolic models and experimental approaches are essential for advancing liver research.
- These systems offer significant opportunities for understanding and potentially treating liver diseases.
- Further development is needed to address existing challenges in liver metabolic modeling and experimentation.
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