Literature DB >> 24486232

The importance of liver microcirculation in promoting autoimmune hepatitis via maintaining an inflammatory cytokine milieu--a mathematical model study.

Karsten Alexander Lettmann1, Matthias Hardtke-Wolenski2.   

Abstract

In autoimmune diseases, inflammatory cytokine concentrations are important for initiating and maintaining the status of autoimmunity. Autoimmune hepatitis (AIH) is an inflammatory liver disease characterized by a loss of immune tolerance against specific antigens located in hepatocytes. During the progression of the disease, antigen-presenting cells and different classes of T-helper cells secrete specific cytokines important for maintaining the disease. As these cytokines are secreted into the local liver environment, the blood flow in liver sinusoids might influence the local cytokine concentration. Considering the liver tissue as a porous medium, based on Darcy׳s law, the microcirculation within a liver lobule was modelled. Using realistic physiological pressure differences and tissue permeabilities, the blood velocity inside the sinusoids could be calculated and validated with blood velocity data obtained via Orthogonal Polarization Spectral Imaging (OPSI). Furthermore, oxygen consumption is modelled to obtain Rappaport׳s acinus model. Finally, steady state spatial distributions of secreted cytokines within the liver lobule could be estimated for specified realistic production rates of T-helper cells. It could be demonstrated that the characteristics of the liver microcirculation have an important impact on establishing inflammatory cytokine levels within the portal fields and the vascular septa promoting the occurrence of interface hepatitis.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autoimmune hepatitis; Inflammatory cytokine milieu; Liver oxygen consumption rates; Microcirculation within liver tissue

Mesh:

Substances:

Year:  2014        PMID: 24486232     DOI: 10.1016/j.jtbi.2014.01.016

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  Modeling of the contrast-enhanced perfusion test in liver based on the multi-compartment flow in porous media.

Authors:  Eduard Rohan; Vladimír Lukeš; Alena Jonášová
Journal:  J Math Biol       Date:  2018-01-24       Impact factor: 2.259

2.  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

Review 3.  Spatial heterogeneity in the mammalian liver.

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

4.  Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

Authors:  Wei Li; Yang Huang; Bo-Wen Zhuang; Guang-Jian Liu; Hang-Tong Hu; Xin Li; Jin-Yu Liang; Zhu Wang; Xiao-Wen Huang; Chu-Qing Zhang; Si-Min Ruan; Xiao-Yan Xie; Ming Kuang; Ming-De Lu; Li-Da Chen; Wei Wang
Journal:  Eur Radiol       Date:  2018-09-03       Impact factor: 5.315

5.  Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach.

Authors:  Yafei Wang; Erik Brodin; Kenichiro Nishii; Hermann B Frieboes; Shannon M Mumenthaler; Jessica L Sparks; Paul Macklin
Journal:  Sci Rep       Date:  2021-01-18       Impact factor: 4.379

  5 in total

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