Effects of Lipid Deposition on Viscoelastic Response in Human Hepatic Cell Line HepG2

Hepatic steatosis is associated with various liver diseases. The main pathological feature of steatosis is the excessive lipid accumulation. Ultrasound has been extensively used for the diagnosis of hepatic steatosis. However, most ultrasound-based non-invasive methods are still not accurate enough for cases with light lipid infiltration. One important reason is that the extent to which lipid infiltration may affect mechanical properties of hepatocytes remains unknown. In this work, we used atomic force microscope and in vitro dose-dependent lipid deposition model to detect the quantitative changes of mechanical properties under different degrees of steatosis in a single-cell level. The results show that hepatic cells with lipid deposition can be treated as linear viscoelastic materials with the power law creep compliance and relaxation modulus. Further analysis showed that even slight accumulation of lipid can lead to measurable decrease of stiffness and increased fluidity in liver cells. The accurate detection of viscoelastic properties of hepatocytes and the analysis methods may provide novel insights into hepatic steatosis grading, especially in the very early stage with reversible liver lesion. The application of viscoelasticity index for grading fat deposition might be a new detection indicator in future clinical diagnosis.

Automated summary

Hepatic steatosis is associated with various liver diseases and is characterized by excessive lipid accumulation. Ultrasound is commonly used for diagnosis, but current methods are not accurate enough for cases with light lipid infiltration, possibly due to unknown effects of lipid infiltration on the mechanical properties of hepatocytes. Studies using atomic force microscope and lipid deposition models have shown that even slight lipid accumulation can decrease stiffness and increase fluidity in liver cells, potentially providing new insights into grading hepatic steatosis and future diagnostic indicators.