| Literature DB >> 27104496 |
Lars Ole Schwen1, André Homeyer2, Michael Schwier3, Uta Dahmen4, Olaf Dirsch5, Arne Schenk6, Lars Kuepfer7, Tobias Preusser8, Andrea Schenk9.
Abstract
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.Entities:
Keywords: Dextromethorphan; Histological serial sections; Pharmacokinetics simulations; Quantitative image analysis; Steatosis; Virtual Liver; Whole-slide scans; Zonation
Mesh:
Year: 2016 PMID: 27104496 DOI: 10.1016/j.compbiomed.2016.04.004
Source DB: PubMed Journal: Comput Biol Med ISSN: 0010-4825 Impact factor: 4.589