Metabolic Biomarkers of Liver Failure in Cell Models and Patient Sera: Toward Liver Damage Evaluation In Vitro
2024

Metabolic Biomarkers of Liver Failure in Cell Models and Patient Sera

Sample size: 11 publication 10 minutes Evidence: moderate

Author Information

Author(s): Simone Rentschler, Sandra Doss, Lars Kaiser, Helga Weinschrott, Matthias Kohl, Hans-Peter Deigner, Martin Sauer, Munish Puri

Primary Institution: Institute of Precision Medicine, Furtwangen University

Hypothesis

The study aims to identify translational biomarkers for acute liver injury in human patients that can serve as biomarkers for hepatocellular injury in vivo and in vitro.

Conclusion

The study identified a promising metabolic biomarker set that can reflect hepatocellular injury in both patients and in vitro models.

Supporting Evidence

  • Significant changes in metabolite concentrations were observed in patients with hepatocellular injury compared to healthy controls.
  • Metabolites returned to levels comparable to healthy controls within hours after liver transplantation.
  • Primary human hepatocytes and HepG2/C3A cells showed similar metabolic responses to drug exposure as seen in patients.

Takeaway

Researchers found specific substances in the blood that can help detect liver damage, which can also be tested in lab models instead of using animals.

Methodology

The study analyzed 188 metabolites from patients with acute-on-chronic liver failure using mass spectrometry and tested their predictive ability in primary and permanent hepatocyte cultures.

Potential Biases

The study faced potential bias due to the exclusion of metabolites that showed different behavior between PHH donors.

Limitations

Variability in primary human hepatocyte preparations from different donors limited the analysis of some metabolites.

Participant Demographics

The study included 11 patients with acute-on-chronic liver failure, predominantly female, and compared them to 21 postoperative patients and 14 healthy controls.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/ijms252413739

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