Literature DB >> 26438405

Optimality in the zonation of ammonia detoxification in rodent liver.

Martin Bartl1,2,3, Michael Pfaff4,5, Ahmed Ghallab6,7, Dominik Driesch8, Sebastian G Henkel9, Jan G Hengstler10, Stefan Schuster11, Christoph Kaleta12,13, Rolf Gebhardt14, Sebastian Zellmer15,16, Pu Li17.   

Abstract

The rodent liver eliminates toxic ammonia. In mammals, three enzymes (or enzyme systems) are involved in this process: glutaminase, glutamine synthetase and the urea cycle enzymes, represented by carbamoyl phosphate synthetase. The distribution of these enzymes for optimal ammonia detoxification was determined by numerical optimization. This in silico approach predicted that the enzymes have to be zonated in order to achieve maximal removal of toxic ammonia and minimal changes in glutamine concentration. Using 13 compartments, representing hepatocytes, the following predictions were generated: glutamine synthetase is active only within a narrow pericentral zone. Glutaminase and carbamoyl phosphate synthetase are located in the periportal zone in a non-homogeneous distribution. This correlates well with the paradoxical observation that in a first step glutamine-bound ammonia is released (by glutaminase) although one of the functions of the liver is detoxification by ammonia fixation. The in silico approach correctly predicted the in vivo enzyme distributions also for non-physiological conditions (e.g. starvation) and during regeneration after tetrachloromethane (CCl4) intoxication. Metabolite concentrations of glutamine, ammonia and urea in each compartment, representing individual hepatocytes, were predicted. Finally, a sensitivity analysis showed a striking robustness of the results. These bioinformatics predictions were validated experimentally by immunohistochemistry and are supported by the literature. In summary, optimization approaches like the one applied can provide valuable explanations and high-quality predictions for in vivo enzyme and metabolite distributions in tissues and can reveal unknown metabolic functions.

Entities:  

Keywords:  Ammonia metabolism; Glutamine synthetase; Liver zonation; Optimization; Systems biology

Mesh:

Substances:

Year:  2015        PMID: 26438405     DOI: 10.1007/s00204-015-1596-4

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  16 in total

1.  Zonation of hepatic fat accumulation: insights from mathematical modelling of nutrient gradients and fatty acid uptake.

Authors:  Jana Schleicher; Uta Dahmen; Reinhard Guthke; Stefan Schuster
Journal:  J R Soc Interface       Date:  2017-08       Impact factor: 4.118

2.  Human ESC/iPSC-Derived Hepatocyte-like Cells Achieve Zone-Specific Hepatic Properties by Modulation of WNT Signaling.

Authors:  Seiji Mitani; Kazuo Takayama; Yasuhito Nagamoto; Kazuo Imagawa; Fuminori Sakurai; Masashi Tachibana; Ryo Sumazaki; Hiroyuki Mizuguchi
Journal:  Mol Ther       Date:  2017-04-24       Impact factor: 11.454

3.  Significance of Liver Zonation in Hepatocellular Carcinoma.

Authors:  Shizhe Yu; Jie Gao; Haoren Wang; Long Liu; Xudong Liu; Yuantong Xu; Jihua Shi; Wenzhi Guo; Shuijun Zhang
Journal:  Front Cell Dev Biol       Date:  2022-06-23

Review 4.  Spatial heterogeneity in the mammalian liver.

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

5.  Subcellular spatio-temporal intravital kinetics of aflatoxin B1 and ochratoxin A in liver and kidney.

Authors:  Gisela H Degen; Jan G Hengstler; Ahmed Ghallab; Reham Hassan; Maiju Myllys; Wiebke Albrecht; Adrian Friebel; Stefan Hoehme; Ute Hofmann; Abdel-Latif Seddek; Albert Braeuning; Lars Kuepfer; Benedikt Cramer; Hans-Ulrich Humpf; Peter Boor
Journal:  Arch Toxicol       Date:  2021-05-18       Impact factor: 5.153

6.  Therapy of hyperammonemia.

Authors:  Agata Widera
Journal:  EXCLI J       Date:  2015-12-22       Impact factor: 4.068

7.  Systems Toxicology.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2015-12-22       Impact factor: 4.068

8.  Highlight report: Monitoring cytochrome P450 activities in living hepatocytes.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2017-12-22       Impact factor: 4.068

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.  Highlight report: The pseudolobule in liver fibrosis.

Authors:  H M Bolt
Journal:  EXCLI J       Date:  2017-12-20       Impact factor: 4.068

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