Mathematical model of liver regeneration processes: homogeneous approximation

Keywords: mathematical model; liver regeneration; homogeneous approximation

Abstract

This paper deals with the rules and the mechanisms regulation of liver regeneration. The generalized mathematical model was developed. This model has a explicit dependence on the control parameters. To solve this problem there were accepted such assumptions: homogeneous approximation; small toxic factors.

Downloads

Download data is not yet available.

Author Biographies

V. V. Karieva, V. N. Karazin Kharkiv National University

ResearcherID:   V-5283-2018

 

 

S. L. Lvov, V. N. Karazin Kharkiv National University

ResearcherID: V-6342-2018

 

 

 

References

B. Christ, U. Dahmen, K-H. Herrmann, M. Konig, JR. Reichenbach, T. Ricken, J. Schleicher, L. Ole Schwen, S. Vlaic, N.Waschinsky. Computational Modeling in Liver Surgery. Frontiers in Physiology. - 2017. - Vol. 8. Article 906. - P.1- 26. DOI: 10.3389/fphys.2017.00906

Virtual Liver Network: A major national initiative funded by the German Federal Ministry for Education and Research, 2010- 2015. - http://www.virtual-liver.de/

LiSyM - Liver Systems Medicine: Research network of German centers and institutions, 2016- 2020. - http://www.lisym.org/

D. Cook, B. A. Ogunnaike, R. Vadigepalli. Systems analysis of non-parenchymal cell modulation of liver repair across multiple regeneration models. BMC Systems Biology, - 2015. - Vol. 9:71. - P.1- 24. DOI: 10.1186/s12918-015-0220-9.

Ye. Dayong, Zh. Minjie, V. Athanasios. Computational Modeling in Liver Surgery. IEEE Transactions on Systems, Man, and Cybernetics. - 2017. - Vol. 47. No. 3. - P. 441- 462.

M. Hwang, M. Garbey, S. A. Bercali, R. Tran-Son-Tay. Rule-Based Simulation of Multi-Cellular Biological SystemsA Review of Modeling Techniques. Cellular and Molecular Bioengineering. - 2009. - Vol. 2(3). - P. 285- 294.

H. Holzhutter, D. Drasdo, T. Preusser, J. Lippert, A.M. Henney. The virtual liver: a multidisciplinary, multilevel challenge for systems biology. WIREs Syst Biol Med. - 2012. - Vol. 4(3). - P.221- 235.

K. Jungerman. Metabolic zonation of liver parenchyma. Semin Liver Dis. - 1988. - Vol. 8. - P. 329- 341.

K. Jungermann, T. Kietzmann. Oxygen: modulator of metabolic zonation and disease of the liver. Hepatology. - 2000. - Vol. 31. - P. 255- 260.

MR. Alison, S. Islam, S. Lim. Stem cells in liver regeneration, brosis and cancer: the good, the bad and the ugly. J Pathol. - 2009. - Vol. 217(2): - P. 282- 298.

KS. Zaret, M. Grompe. Generation and regeneration of cells of the liver and pancreas. Science. - 2008. - Vol. 322. - P. 1490- 1494.

M. Tanaka, T. Itoh, N. Tanimizu, A. Miyajima. Liver stem/progenitor cells: their characteristics and regulatory mechanisms. J Biochem. - 2011. - Vol. 149. - P. 231- 239.

Y. Miyaoka, A. Miyajima. To divide or not to divide: revisiting liver regeneration. Cell Division. - 2013. - Vol. 8(1):8. - P.1- 12. DOI:10.1186/1747- 1028-8-8.

K. Mahmoodi, B. West, P. Grigolini. Self-organizing complex networks: individual versus global rules. Frontiers in Physiology. - 2017. - Vol. 8. Article 478. - P.1- 11. DOI:10.3389/fphys.2017.00478.

N. W. Watkins and others. 25 years of self-organized criticality: concepts and controversies. Space Science Reviews. - 2016. - Vol. 198(1-4) - P. 3- 44.

J. M. Cushing. Integrodierential Equations and Delay Models in Population Dynamics. Springer-Verlag Berlin Heidelberg. - 1977. - Vol. 20 - 196 p.

C. Hutchison, D. M. Glover. Cell Cycle Control. Frontiers in molecular biology. - 1995. - Vol. 10. - 304 p.

K. J. Barnum, M. J. O'Connell. Cell Cycle Regulation by Checkpoints. Methods Mol Biol. - 2014. - Vol. 1170. - P. 29- 40.

F. Marongiu et al. Hyperplasia vs Hypertrophy in Tissue Regeneration after Extensive Liver Resection. World Journal of Gastroenterology. - 2017. - Vol. 23(10). - P. 1764- 1770.

S. Fulda, A. M. Gorman, O. Hori, A. Samali. Cellular Stress Responses: Cell Survival and Cell Death. International Journal of Cell Biology. - 2010. - P. 1- 23.

Citations

Adaptive dynamic programming for the optimal liver regeneration control
Karieva Valeriia & Lvov Sergey (2024) V. N. Karazin Kharkiv National University. Ser. Mathematics, Applied Mathematics and Mechanics
Crossref

Different strategies in the liver regeneration processes. Numerical experiments on the mathematical model
(2020) V. N. Karazin Kharkiv National University. Ser. Mathematics, Applied Mathematics and Mechanics
Crossref

Liver regeneration after partial hepatectomy: the upper optimality estimate
Karieva V. V. & Lvov S.V. (2023) V. N. Karazin Kharkiv National University. Ser. Mathematics, Applied Mathematics and Mechanics
Crossref

Published
2018-10-22
Cited
How to Cite
Karieva, V. V., & Lvov, S. L. (2018). Mathematical model of liver regeneration processes: homogeneous approximation. Visnyk of V. N. Karazin Kharkiv National University. Ser. Mathematics, Applied Mathematics and Mechanics, 87, 29-41. https://doi.org/10.26565/2221-5646-2018-87-03
Section
Статті