Paper Details 
Original Abstract of the Article :
BACKGROUND: The antineoplastic drug busulfan can induce different hepatic lesions including cholestasis and sinusoidal obstruction syndrome. However, hepatic steatosis has never been reported in patients. OBJECTIVES: This study aimed to determine whether busulfan could induce steatosis in primary h...See full text at original site
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引用元:
https://doi.org/10.1111/fcp.12951

データ提供:米国国立医学図書館(NLM)

Busulfan-Induced Steatosis: A Model for Drug-Induced Liver Injury

[Busulfan] is a chemotherapy drug that can cause various liver complications, including [cholestasis] and [sinusoidal obstruction syndrome]. However, the drug's potential to induce [steatosis] has not been well-studied. This study investigates the effects of busulfan on [primary human hepatocytes] (PHH) and [differentiated HepaRG cells], exploring the mechanisms underlying steatosis.

Understanding the Potential for Drug-Induced Liver Injury

The study highlights the importance of thoroughly investigating the potential for drugs to cause liver damage. The researchers found that busulfan induced lipid accumulation in HepaRG cells, suggesting that it may contribute to steatosis. However, they did not observe this effect in PHH, indicating that HepaRG cells may not always be an accurate predictor of drug-induced liver injury.

The Importance of Validating In Vitro Models

This study emphasizes the need for caution when interpreting results from in vitro models. The researchers highlight the potential limitations of HepaRG cells in accurately predicting drug-induced liver injury. Further research is needed to validate the use of these models and to develop more reliable methods for assessing drug-induced liver toxicity.

Dr. Camel's Conclusion

This study serves as a reminder that the desert of scientific discovery is vast and complex. Researchers are constantly refining their methods and seeking new insights into the potential for drugs to cause liver damage. By understanding the limitations of in vitro models, we can develop more accurate methods for predicting drug-induced liver injury and ensure the safety of new medications.
Date :
  1. Date Completed n.d.
  2. Date Revised 2023-09-04
Further Info :

Pubmed ID

37665028

DOI: Digital Object Identifier

10.1111/fcp.12951

Related Literature

SNS
PICO Info
in preparation
Languages

English

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