Real-Time Assessment of Mitochondrial Toxicity in HepG2 Cells Using the Seahorse Extracellular Flux Analyzer

Jether Amos Espinosa1, Grace Pohan1, Michelle R Arkin1

  • 1Small Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.

Current Protocols
|March 18, 2021
PubMed

Insights

This study introduces a method to assess drug-induced liver injury by measuring cellular energy production in HepG2 cells. The Seahorse Analyzer quantifies mitochondrial dysfunction, aiding in the prediction of drug toxicity during development.

Area of Science:

  • Hepatology
  • Toxicology
  • Biochemistry

Background:

  • Drug-induced liver injury (DILI) is a significant challenge in drug development and market withdrawal.
  • Mitochondria are crucial for liver energy metabolism, primarily through adenosine triphosphate (ATP) generation.
  • Mitochondrial dysfunction is a key mechanism underlying DILI.

Purpose of the Study:

  • To evaluate drug-induced mitochondrial dysfunction as a predictor of DILI.
  • To establish a protocol for measuring ATP production rate in HepG2 cells exposed to toxic compounds.
  • To utilize the Seahorse Extracellular Flux Analyzer for assessing cellular energy metabolism.

Main Methods:

  • Utilized HepG2 cells, a human liver cell line.
  • Employed the Seahorse Extracellular Flux Analyzer to measure extracellular acidification rate (ECAR) and oxygen consumption rate (OCR).
  • Quantified ATP production rate following exposure to a panel of potentially toxic compounds.

Main Results:

  • The assay accurately measured changes in ECAR and OCR, reflecting glycolysis and mitochondrial respiration.
  • Demonstrated the capability to assess ATP production rate in response to drug exposure.
  • Established a model for predicting mitochondrial dysfunction-mediated DILI.

Conclusions:

  • The Seahorse assay provides a reliable method for evaluating drug-induced mitochondrial dysfunction.
  • This approach can serve as a valuable tool in predicting DILI early in the drug discovery process.
  • Optimizing HepG2 cell culture and density is crucial for accurate assay results.

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