A computational model of the crosstalk between hepatocyte fatty acid metabolism and oxidative stress highlights the key enzymes, metabolites, and detoxification pathways in the context of MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD; formerly known as NAFLD) is a common liver disease worldwide and carries the risk of progressing to severe liver conditions, such as fibrosis and liver cancer. In the context of MASLD, evaluating fat accumulation in the liver and the subsequent production of oxidative stress is essential to understand the disease propagation. However, clinical studies using human patients to investigate the fat accumulation and the onset of oxidative stress in MASLD face ethical and technical challenges, highlighting the importance of alternative methods. To understand the relationship between fatty acid metabolism, lipid accumulation, oxidative stress generation, and antioxidant mechanisms in hepatocytes, we proposed a new mathematical model. The importance of this model lies in its ability to track the time-dependent changes in oxidative stress and glutathione concentration in response to the input of fatty acids. Furthermore, the model allows for the evaluation of the effects of altering the activity of the key enzymes involved in those mechanisms. Our model is anticipated to provide new insights into MASLD therapy strategies by identifying key pathways and predicting the effects of drug-induced changes in enzyme activity.