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Updated: May 29, 2026

A Doxorubicin-induced Cardiomyopathy Model in Adult Zebrafish
Published on: June 7, 2018
A switching mechanism in doxorubicin bioactivation can be exploited to control doxorubicin toxicity
Nnenna A Finn1, Harry W Findley, Melissa L Kemp
1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Abstract:
Although doxorubicin toxicity in cancer cells is multifactorial, the enzymatic bioactivation of the drug can significantly contribute to its cytotoxicity. Previous research has identified most of the components that comprise the doxorubicin bioactivation network; however, adaptation of the network to changes in doxorubicin treatment or to patient-specific changes in network components is much less understood. To investigate the properties of the coupled reduction/oxidation reactions of the doxorubicin bioactivation network, we analyzed metabolic differences between two patient-derived acute lymphoblastic leukemia (ALL) cell lines exhibiting varied doxorubicin sensitivities. We developed computational models that accurately predicted doxorubicin bioactivation in both ALL cell lines at high and low doxorubicin concentrations. Oxygen-dependent redox cycling promoted superoxide accumulation while NADPH-dependent reductive conversion promoted semiquinone doxorubicin. This fundamental switch in control is observed between doxorubicin sensitive and insensitive ALL cells and between high and low doxorubicin concentrations. We demonstrate that pharmacological intervention strategies can be employed to either enhance or impede doxorubicin cytotoxicity in ALL cells due to the switching that occurs between oxygen-dependent superoxide generation and NADPH-dependent doxorubicin semiquinone formation.
Insights
Doxorubicin
Area of Science:
- Biochemistry
- Pharmacology
- Cancer Biology
Background:
- Doxorubicin cytotoxicity is multifactorial, with enzymatic bioactivation significantly contributing to its effects.
- The adaptation of the doxorubicin bioactivation network to treatment or patient-specific changes remains poorly understood.
Purpose of the Study:
- To investigate the reduction/oxidation reactions within the doxorubicin bioactivation network.
- To analyze metabolic differences in acute lymphoblastic leukemia (ALL) cell lines with varying doxorubicin sensitivities.
Main Methods:
- Developed computational models to predict doxorubicin bioactivation.
- Analyzed metabolic differences between two patient-derived ALL cell lines.
- Examined effects of high and low doxorubicin concentrations.
Main Results:
- Computational models accurately predicted doxorubicin bioactivation across different concentrations and cell lines.
- A switch in control was observed between oxygen-dependent superoxide generation and NADPH-dependent semiquinone formation.
- This switch correlated with doxorubicin sensitivity in ALL cells and drug concentration.
Conclusions:
- Pharmacological interventions can modulate doxorubicin cytotoxicity by targeting the observed switching mechanism.
- Understanding this metabolic switch offers potential strategies to enhance or impede doxorubicin efficacy in ALL treatment.
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