Literature DB >> 17442287

Mathematical modelling of liver regeneration after intoxication with CCl(4).

Stefan Höhme1, Jan G Hengstler, Marc Brulport, Marc Schäfer, Alexander Bauer, Rolf Gebhardt, Dirk Drasdo.   

Abstract

Liver regeneration is a complex process, having evolved to protect animals from the consequences of liver loss caused by food toxins. In this study, we established a mathematical spatial-temporal model of the liver lobule regenerating after CCl(4) intoxication. The aim of modelling the regeneration process by matching experimental observations with those from a mathematical model is to gain a better understanding of the process and to recognize which parameters are relevant for specific phenomena. In order to set up a realistic minimal model, we first reconstructed a schematised liver lobule after determination of: (i) the mean number of hepatocytes between the central vein and the periphery of the lobule, (ii) the mean size of the hepatocytes and (iii) the mean number of hepatocyte columns in the inner, midzonal and peripheral ring of the lobule. In a next step, we determined the time course of cell death and BrdU incorporation after intoxication of male Sprague Dawley rats with CCl(4), thereby differentiating between inner, midzonal and peripheral hepatocytes. These parameters were used to construct a model. The basic unit of this model is the individual cell. The detailed behaviour of the cells is studied, controlled by the model parameters: (1) probability of cell division at defined positions of the lobule at a given time, (2) "coordinated cell orientation", i.e., the ability of the cells to align during the regeneration process into columns towards the central vein of a liver lobule, (3) cell cycle duration, (4) the migration activity and (5) the polarity of the hepatocytes resulting in polar cell-cell adhesion between them. In a schematised lobule, the model shows that CCl(4) initially induced cell death of a pericentral ring of hepatocytes, followed by a wave of proliferation that starts in the surviving hepatocytes next to the inner ring of dead cells and continues to the peripheral hepatocytes, finally restoring the characteristic micro-architecture of the lobule in a 7-day process. This model was used to systematically analyze the influence of parameters 1-5. Interestingly, coordinated cell orientation and cell polarity were identified to be the most critical parameters. Elimination led to destruction of the characteristic micro-architecture of the lobule and to a high degree of disorder characterized by hexagonal cell structures. Our model suggests that the ability of hepatocytes to realign after cell division by a process of coordinated cell orientation (model parameter 2) in combination with cell polarity (model parameter 5) may be at least as critical as hepatocyte proliferation (model parameter 1) itself.

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Year:  2007        PMID: 17442287     DOI: 10.1016/j.cbi.2007.01.010

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  21 in total

1.  Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration.

Authors:  Stefan Hoehme; Marc Brulport; Alexander Bauer; Essam Bedawy; Wiebke Schormann; Matthias Hermes; Verena Puppe; Rolf Gebhardt; Sebastian Zellmer; Michael Schwarz; Ernesto Bockamp; Tobias Timmel; Jan G Hengstler; Dirk Drasdo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-19       Impact factor: 11.205

2.  Mathematical model of liver regeneration in human live donors.

Authors:  V Periwal; J R Gaillard; L Needleman; C Doria
Journal:  J Cell Physiol       Date:  2014-05       Impact factor: 6.384

3.  Geometrical model of lobular structure and its importance for the liver perfusion analysis.

Authors:  Eduard Rohan; Jana Camprová Turjanicová; Václav Liška
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

4.  From single cells to tissue architecture-a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems.

Authors:  J Galle; M Hoffmann; G Aust
Journal:  J Math Biol       Date:  2008-04-02       Impact factor: 2.259

5.  Simulating microdosimetry in a virtual hepatic lobule.

Authors:  John Wambaugh; Imran Shah
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

6.  A cell-based simulation software for multi-cellular systems.

Authors:  Stefan Hoehme; Dirk Drasdo
Journal:  Bioinformatics       Date:  2010-08-13       Impact factor: 6.937

Review 7.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

8.  Integrated spatiotemporal-metabolic modelling bridges the gap between metabolism on the cellular level and organ function.

Authors:  Agata Widera
Journal:  EXCLI J       Date:  2014-12-17       Impact factor: 4.068

9.  Quantification of three-dimensional structures in liver tissue: bile canalicular and sinusoidal networks.

Authors:  Hassan Ahmed; Mosaab A Omar; Ahmed M Abdou
Journal:  EXCLI J       Date:  2014-05-19       Impact factor: 4.068

10.  Highlight report: Software for tissue analysis and reconstruction.

Authors:  Mohie A M Haridy; Yasser S El-Sayed
Journal:  EXCLI J       Date:  2015-09-23       Impact factor: 4.068

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