Literature DB >> 27104496

Zonated quantification of steatosis in an entire mouse liver.

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.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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


  16 in total

Review 1.  Pre-clinical and clinical investigations of metabolic zonation in liver diseases: The potential of microphysiology systems.

Authors:  Alejandro Soto-Gutierrez; Albert Gough; Lawrence A Vernetti; D L Taylor; Satdarshan P Monga
Journal:  Exp Biol Med (Maywood)       Date:  2017-05-03

Review 2.  Spatial heterogeneity in the mammalian liver.

Authors:  Shani Ben-Moshe; Shalev Itzkovitz
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2019-07       Impact factor: 46.802

3.  Clusters of Ultrasound Scattering Parameters for the Classification of Steatotic and Normal Livers.

Authors:  Jihye Baek; Sedigheh S Poul; Lokesh Basavarajappa; Shreya Reddy; Haowei Tai; Kenneth Hoyt; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2021-07-24       Impact factor: 3.694

4.  Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Authors:  Jihye Baek; Sedigheh S Poul; Terri A Swanson; Theresa Tuthill; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2020-09-08       Impact factor: 3.694

5.  Building a 3D Virtual Liver: Methods for Simulating Blood Flow and Hepatic Clearance on 3D Structures.

Authors:  Diana White; Dennis Coombe; Vahid Rezania; Jack Tuszynski
Journal:  PLoS One       Date:  2016-09-20       Impact factor: 3.240

6.  Vitamin D3 supplementation of a high fat high sugar diet ameliorates prediabetic phenotype in female LDLR-/- and LDLR+/+ mice.

Authors:  Ramiar Kheder; James Hobkirk; Zeayd Saeed; Justyna Janus; Sean Carroll; Michael J Browning; Cordula Stover
Journal:  Immun Inflamm Dis       Date:  2017-03-13

7.  Focused scores enable reliable discrimination of small differences in steatosis.

Authors:  André Homeyer; Seddik Hammad; Lars Ole Schwen; Uta Dahmen; Henning Höfener; Yan Gao; Steven Dooley; Andrea Schenk
Journal:  Diagn Pathol       Date:  2018-09-20       Impact factor: 2.644

8.  Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations.

Authors:  Lars Ole Schwen; Arne Schenk; Clemens Kreutz; Jens Timmer; María Matilde Bartolomé Rodríguez; Lars Kuepfer; Tobias Preusser
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

Review 9.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

10.  Automated assessment of steatosis in murine fatty liver.

Authors:  Deepak Sethunath; Siripriya Morusu; Mihran Tuceryan; Oscar W Cummings; Hao Zhang; Xiao-Ming Yin; Scott Vanderbeck; Naga Chalasani; Samer Gawrieh
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

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