Zonated Quantification of Steatosis in an Entire Mouse Liver


Many physiological processes and pathological conditions in livers are spatially heterogeneous, forming patterns at the lobular length scale or varying across the organ. Steatosis, a common liver disease characterized by lipids accumulating in hepatocytes, exhibits heterogeneity at both these spatial scales. The main goal of the present study was to provide a method for zonated quantification of the steatosis patterns found in an entire mouse liver. As an example application, the results were employed in a pharmacokinetics simulation.

For the analysis, an automatic detection of the lipid vacuoles was used in multiple slides of histological serial sections covering an entire mouse liver. Lobuli were determined semi-automatically and zones were defined within the lobuli. Subsequently, the lipid content of each zone was computed. The steatosis patterns were found to be predominantly periportal, with a notable organ-scale heterogeneity.

The analysis provides a quantitative description of the extent of steatosis in unprecedented detail. The resulting steatosis patterns were successfully used as a perturbation to the liver as part of an exemplary whole-body pharmacokinetics simulation for the antitussive drug dextromethorphan. The zonated quantification is also applicable to other pathological conditions that can be detected in histological images. Besides being a descriptive research tool, this quantification could perspectively complement diagnosis based on visual assessment of histological images.


Projects: C1: The role of blood flow in liver lobule function and morphology, D1: Regulation of Blood Flow and Perfusion in the Liver, E3: Horizontal integration on organ scale, E4: Vertical integration across biological scales, Showcase Steatosis

Computers in Biology and Medicine
Computers in Biology and Medicine
1st Apr 2016

Lars Ole Schwen, André Homeyer, Michael Schwier, Uta Dahmen, Olaf Dirsch, Arne Schenk, Lars Kuepfer, Tobias Preusser, Andrea Schenk

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[Lars Ole Schwen] [André Homeyer] [Michael Schwier] [Uta Dahmen] [Olaf Dirsch]

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Views: 1166
  • Created: 13th Apr 2016 at 15:13
  • Last updated: 13th Apr 2016 at 15:16

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