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<art>
   <ui>1752-0509-2-43</ui>
   <ji>1752-0509</ji>
   <fm>
      <dochead>Research article</dochead>
      <bibl>
         <title>
            <p>Mathematical modeling and analysis of insulin clearance <it>in vivo</it></p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Koschorreck</snm>
               <fnm>Markus</fnm>
               <insr iid="I1"/>
               <email>koschorreck@mpi-magdeburg.mpg.de</email>
            </au>
            <au id="A2">
               <snm>Gilles</snm>
               <mnm>Dieter</mnm>
               <fnm>Ernst</fnm>
               <insr iid="I1"/>
               <email>gilles@mpi-magdeburg.mpg.de</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany</p>
            </ins>
         </insg>
         <source>BMC Systems Biology</source>
         <issn>1752-0509</issn>
         <pubdate>2008</pubdate>
         <volume>2</volume>
         <issue>1</issue>
         <fpage>43</fpage>
         <url>http://www.biomedcentral.com/1752-0509/2/43</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">18477391</pubid>
               <pubid idtype="doi">10.1186/1752-0509-2-43</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>24</day>
               <month>9</month>
               <year>2007</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>13</day>
               <month>5</month>
               <year>2008</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>13</day>
               <month>5</month>
               <year>2008</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2008</year>
         <collab>Koschorreck and Gilles; licensee BioMed Central Ltd.</collab>
         <note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Background</p>
               </st>
               <p>Analyzing the dynamics of insulin concentration in the blood is necessary for a comprehensive understanding of the effects of insulin <it>in vivo</it>. Insulin removal from the blood has been addressed in many studies. The results are highly variable with respect to insulin clearance and the relative contributions of hepatic and renal insulin degradation.</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>We present a dynamic mathematical model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. The model describes renal and hepatic insulin degradation, pancreatic insulin secretion and nonspecific insulin binding in the liver. Hepatic insulin receptor activation by insulin binding, receptor internalization and autophosphorylation is explicitly included in the model. We present a detailed mathematical analysis of insulin degradation and insulin clearance. Stationary model analysis shows that degradation rates, relative contributions of the different tissues to total insulin degradation and insulin clearance highly depend on the insulin concentration.</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusion</p>
               </st>
               <p>This study provides a detailed dynamic model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. Experimental data sets from literature are used for the model validation. We show that essential dynamic and stationary characteristics of insulin degradation are nonlinear and depend on the actual insulin concentration.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Background</p>
         </st>
         <p>Insulin regulates important physiological processes like cellular glucose uptake <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr></abbrgrp>, metabolism <abbrgrp><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr></abbrgrp> and gene expression <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>. The processes triggered by insulin are associated with widely spread diseases. Type I diabetes mellitus results from defective pancreatic insulin secretion <abbrgrp><abbr bid="B5">5</abbr><abbr bid="B6">6</abbr></abbrgrp>. Insulin resistance, obesity and type II diabetes mellitus may result from defects in the insulin signaling system <abbrgrp><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr><abbr bid="B8">8</abbr></abbrgrp> and are often accompanied by abnormalities in insulin degradation <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>. Improving therapies of these maladies is a topic of intense investigation <abbrgrp><abbr bid="B5">5</abbr><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp>.</p>
         <sec>
            <st>
               <p>Insulin dynamics <it>in vivo</it></p>
            </st>
            <p>A prerequisite for fully understanding the effects of insulin <it>in vivo </it>is to enlighten the fate of insulin after the injection or endogenous production. Much work has been done in past decades to study insulin kinetics in the blood <abbrgrp><abbr bid="B12">12</abbr><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr></abbrgrp>. In the last few years, efforts have been focused on analyzing the dynamics of insulin concentration after the subcutaneous injection <abbrgrp><abbr bid="B15">15</abbr><abbr bid="B16">16</abbr><abbr bid="B17">17</abbr></abbrgrp>. The resulting models describe insulin removal from the blood in a highly reduced way <abbrgrp><abbr bid="B12">12</abbr><abbr bid="B17">17</abbr></abbrgrp>, whereas the subcutaneous tissue is usually modeled in more detail. Insulin traverses different compartments (e.g. the injection pocket and the interstitium) after the injection and can be degraded or temporarily stored within these compartments <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>.</p>
            <p>Long acting insulins tend to form dimers or hexamers in the subcutaneous tissue, whereas fast acting insulin analogues have a decreased ability to form oligomers <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. Oligomer formation slows down the transition of insulin from the injection pocket in the subcutaneous tissue to the blood. These effects are included in some models <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. In other studies, insulin dynamics are linked with glucose dynamics <abbrgrp><abbr bid="B18">18</abbr><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr><abbr bid="B21">21</abbr><abbr bid="B22">22</abbr><abbr bid="B23">23</abbr></abbrgrp>. The corresponding models describe all involved processes in a highly reduced way.</p>
            <p>There are also efforts to predict glucose concentration and to automate insulin dosage for individuals with impaired glucose levels <abbrgrp><abbr bid="B24">24</abbr><abbr bid="B25">25</abbr><abbr bid="B26">26</abbr><abbr bid="B27">27</abbr><abbr bid="B28">28</abbr><abbr bid="B29">29</abbr></abbrgrp>. These efforts are first steps towards the development of an artificial pancreas <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>.</p>
            <p>In the last few decades, many different kinetics for insulin removal from the blood were proposed. The most frequently used kinetics are linear first order kinetics, Michaelis-Menten kinetics or a combination of both <abbrgrp><abbr bid="B13">13</abbr></abbrgrp>. Due to the investigation of narrow concentration intervals, nonlinearity was difficult to demonstrate <abbrgrp><abbr bid="B31">31</abbr></abbrgrp>. The presence of nonlinearities due to saturable processes now is widely accepted <abbrgrp><abbr bid="B5">5</abbr><abbr bid="B9">9</abbr></abbrgrp>. However, insulin degradation is described as a linear first order process in most models. Allocation of insulin degradation to specific tissues is not performed in the models of insulin dynamics <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. Therefore, no model-based analysis of the contributions of the liver and the kidney to the degradation process has been done. A prerequisite for such an analysis is the availability of a validated model describing all important processes.</p>
         </sec>
         <sec>
            <st>
               <p>Insulin receptor dynamics <it>in vitro</it></p>
            </st>
            <p>There are several models in literature that describe insulin receptor dynamics <it>in vitro</it>. Most models <abbrgrp><abbr bid="B32">32</abbr><abbr bid="B33">33</abbr><abbr bid="B34">34</abbr><abbr bid="B35">35</abbr><abbr bid="B36">36</abbr></abbrgrp> focus on a subset of the occurring processes and lump several processes into single reaction steps. This reduces the number of model parameters and has to be done if there is only little experimental data and if there are many parameters to estimate. However, two recent <it>in vitro </it>models describe insulin receptor dynamics in more detail <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B38">38</abbr></abbrgrp>.</p>
            <p>Sedaghat et al. combined models of insulin binding <abbrgrp><abbr bid="B36">36</abbr></abbrgrp> and receptor internalization, recycling and degradation <abbrgrp><abbr bid="B35">35</abbr></abbrgrp> and extended them to a mathematical model of insulin signaling in adipocytes <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. Model parameters were taken from other models and <it>in vitro </it>experiments. The receptor part of this model includes the binding of two insulin molecules as well as phosphorylation, internalization, degradation and synthesis of the receptor. A very strong coupling between insulin binding and receptor phosphorylation is assumed. The second insulin molecule can only bind to the receptor if the receptor is phosphorylated. Dephosphorylation of the receptor (with simultaneous insulin dissociation) is only possible if only one insulin molecule is bound to the receptor. Phosphorylated receptors without insulin are not part of the model.</p>
            <p>Hori et al. described receptor phosphorylation, internalization and recycling in Fao hepatoma cells <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> at 100 <it>nM </it>insulin. They analyzed several models corresponding to different model assumptions and different levels of detail. Model parameters were estimated using experimental data sets from literature. The main limitations of the models of Hori et al. <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> are that they are only valid at 100 <it>nM </it>insulin and that insulin binding is not explicitly included. Due to the high insulin concentration (100 <it>nM</it>), all receptors at the plasma membrane are assumed to be liganded. Hori et al. also provide a general model structure without parameterization that includes the binding of one insulin molecule to the receptor and is intended for variable insulin concentrations. As above, receptor dephosphorylation and insulin dissociation are coupled in all models. Insulin dissociation is a prerequisite for receptor dephosphorylation or the processes are lumped into a single step. In addition, most processes are assumed to be irreversible.</p>
            <p>Thus, there are many couplings between different processes in all detailed receptor models <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B38">38</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>Insulin dynamics and insulin receptor dynamics <it>in vivo</it></p>
            </st>
            <p><it>In vivo </it>models from literature predict insulin or glucose concentrations in the blood after the injection of glucose or insulin. The physiological state of the involved insulin-responsive tissues, e.g. the activation of insulin receptors, cannot be obtained from these <it>in vivo </it>models, as their level of detail is quite low <abbrgrp><abbr bid="B12">12</abbr><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr><abbr bid="B16">16</abbr><abbr bid="B17">17</abbr></abbrgrp>. Though insulin dynamics in the blood and insulin receptor activation are highly related, no detailed analysis of the interactions between these processes exists in literature. Hovorka et al. <abbrgrp><abbr bid="B14">14</abbr></abbrgrp> took a first step in this direction. However, the receptor part of their model only distinguishes between free receptors and receptors with bound insulin. In addition, the focus of this study is clearly on insulin kinetics.</p>
            <p><it>In vivo </it>models describing hepatic processes in such a detailed way as <it>in vitro </it>models <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B38">38</abbr></abbrgrp> could be of great interest for a deeper understanding and a model based control of insulin and glucose dynamics. Additionally, a detailed model could serve as a starting point for modeling and analysis of the signaling cascades emerging from the hepatic insulin receptor <it>in vivo</it>. Due to combinatorial complexity in signal transduction <abbrgrp><abbr bid="B39">39</abbr></abbrgrp>, reduced order modeling techniques <abbrgrp><abbr bid="B40">40</abbr><abbr bid="B41">41</abbr></abbrgrp> will have to be used to describe insulin signaling comprehensively.</p>
            <p>We present a literature-based mathematical model of insulin dynamics and hepatic insulin receptor activation in rats. Compared to other models <abbrgrp><abbr bid="B32">32</abbr><abbr bid="B33">33</abbr><abbr bid="B34">34</abbr><abbr bid="B35">35</abbr><abbr bid="B36">36</abbr><abbr bid="B37">37</abbr><abbr bid="B38">38</abbr></abbrgrp>, we describe receptor processes in more detail to get insights into the processes and into the connections between insulin dynamics and insulin receptor activation in hepatocytes. This enables us to simultaneously analyze insulin dynamics in the blood and insulin receptor dynamics in the liver. In contrast to other studies, we decouple insulin binding and dissociation from receptor phosphorylation, as there is experimental evidence that receptor phosphorylation does not affect insulin binding <abbrgrp><abbr bid="B42">42</abbr></abbrgrp>. In addition, we model receptor phosphorylation as a reversible process if insulin is bound to the receptor. We take experimentally determined <it>in vitro </it>parameters for each reaction, wherever this is possible. The result is a physiologically well founded mechanistic model that does not couple or lump different processes. Almost all processes were parameterized by values from literature. The remaining parameter values could be derived from physiological considerations.</p>
            <p>Model validation is performed with experimental data sets from literature. We emphasize that the data sets used for the model validation are not used for parameter estimation. This corresponds to a strict separation of model construction and model validation which is frequently applied <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>. A very remarkable result of the model validation is that the model with parameters from literature is able to match experimental data sets.</p>
            <p>We perform a detailed stationary analysis of the contributions of the liver and the kidney to insulin degradation and insulin clearance as well as of the activation state of hepatic insulin receptors under varying insulin concentrations.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Results and Discussion</p>
         </st>
         <sec>
            <st>
               <p>The model</p>
            </st>
            <p>The model consists of ordinary differential equations (ODEs) and describes the dynamic behavior of radioactively labeled and unlabeled insulin in the blood and the physiological state of hepatic insulin receptors. It can also be used for the injection of only labeled or only unlabeled insulin. Distinction between labeled and unlabeled insulin is necessary as unlabeled insulin is synthesized in the pancreas whereas labeled insulin is not. Therefore, in experiments with labeled insulin, the fraction of labeled insulin changes over time.</p>
            <p>Almost all state variables in the model represent concentrations and are given in <it>nM</it>. Exceptions are the state variables <it>Ins</it><sub><it>ub </it></sub>and <it>Ins</it><sub>*,<it>ub </it></sub>that represent amounts of substances and are given in <it>nmol</it>. All rates are given in <it>nM</it>&#183;<it>s</it><sup>-1</sup>. The rates describing insulin receptor dynamics (<it>r</it><sub><it>j</it></sub>, <it>i</it><sub><it>j </it></sub>and <it>f</it><sub><it>j</it></sub>, <it>j &#949; </it>&#8469;) refer to the hepatocyte volume <it>v</it><sub><it>hep</it></sub>. All other rates refer to blood plasma volume <it>v</it><sub><it>p</it></sub>. The executable model is given in MATLAB format in Additional file <supplr sid="S1">1</supplr>. We also provide the receptor part of the model as an independent model that can be used for the simulation of <it>in vitro </it>experiments (Additional file <supplr sid="S2">2</supplr>).</p>
            <suppl id="S1">
               <title>
                  <p>Additional file 1</p>
               </title>
               <text>
                  <p><it>In vivo </it>model. This file contains a MATLAB model to simulate <it>in vivo </it>experiments.</p>
               </text>
               <file name="1752-0509-2-43-S1.m">
                  <p>Click here for file</p>
               </file>
            </suppl>
            <suppl id="S2">
               <title>
                  <p>Additional file 2</p>
               </title>
               <text>
                  <p><it>In vitro </it>receptor model. This file contains the receptor part of the <it>in vivo </it>model and can be taken to simulate <it>in vitro </it>experiments with a constant insulin concentration.</p>
               </text>
               <file name="1752-0509-2-43-S2.m">
                  <p>Click here for file</p>
               </file>
            </suppl>
            <sec>
               <st>
                  <p>Important tissues and processes</p>
               </st>
               <p>The liver and the kidney are the most important insulin degrading tissues <abbrgrp><abbr bid="B5">5</abbr><abbr bid="B9">9</abbr></abbrgrp>. However, fat and muscle tissues also contribute to insulin degradation. In the following, we show that the insulin degradation rate of the fat tissue is small compared to the hepatic insulin degradation rate. According to Sedaghat et al. <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>, the total receptor concentration in adipocytes is 10<sup>-3 </sup><it>nM </it>and the rate constant of receptor internalization is 3.5&#183;10<sup>-5 </sup><it>s</it><sup>-1</sup>. Insulin receptors in hepatocytes have a minimal internalization rate constant of 2&#183;10<sup>-4 </sup><it>s</it><sup>-1 </sup><abbrgrp><abbr bid="B34">34</abbr></abbrgrp> and a concentration of 40 <it>nM </it>(10<sup>5 </sup>receptors per hepatocyte <abbrgrp><abbr bid="B44">44</abbr></abbrgrp>, a hepatocyte is assumed to be a sphere with 20 <it>&#956;m </it>diameter). 78% of the liver volume is occupied by hepatocytes <abbrgrp><abbr bid="B45">45</abbr></abbrgrp>. Liver mass is about 5% of body weight <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>, the mass of the fat tissue is in the same order of magnitude. We postulate the same insulin binding characteristics to the receptor in both tissues. The product of receptor concentration and the kinetic parameter for receptor internalization in adipocytes is five orders of magnitude lower than in hepatocytes. Therefore, the contribution of the fat tissue to insulin degradation can be neglected. The contribution of the muscle tissue will not be analyzed either. No quantitative data was found and a qualitatively similar behavior in comparison to the liver is expected.</p>
               <p>Hepatic insulin receptors have access to insulin molecules in the space of Disse <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>. The space of Disse (perisinusoidal space) contains blood plasma and is an extracellular space between liver sinusoids (special blood vessels) and hepatocytes. Insulin molecules from the space of Disse can be bound and are internalized together with the receptor. In the space of Disse, there is also nonspecific insulin binding to hepatocytes. Inside the cell, in the acidic endosomal compartment, insulin dissociates from the receptor and is degraded. The receptor then recycles to the cell surface <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>.</p>
               <p>Our model explicitly describes dynamic insulin receptor activation in hepatocytes of the liver. Processes considered are insulin binding to the receptor, receptor autophosphorylation, internalization and recycling. Compared to other models of the insulin receptor which also include these processes <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B38">38</abbr></abbrgrp>, we provide an extended description, model the <it>in vivo </it>situation and include reversible nonspecific insulin binding.</p>
               <p>The kidney's contribution to insulin clearance mainly consists of the filtering of insulin from the blood <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>. The filtering function of the kidney is modeled as a degradation rate that, according to experimental data <abbrgrp><abbr bid="B47">47</abbr></abbrgrp>, does not saturate and is proportional to insulin concentration in the plasma.</p>
               <p>Pancreatic insulin secretion is mainly induced by plasma glucose <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. As we focus on insulin degradation, glucose is not included in the model. We model pancreatic insulin secretion in a highly simplified way as a function of insulin concentration. Due to high robustness to changes in the parameters for insulin secretion (Additional file <supplr sid="S3">3</supplr>), this simplification does not lead to significant approximation errors. In addition, insulin secretion is irrelevant for stationary analysis at constant insulin concentrations.</p>
               <suppl id="S3">
                  <title>
                     <p>Additional file 3</p>
                  </title>
                  <text>
                     <p>Robustness and parameter estimation. This file describes the examination of robustness to changes in parameter values and the estimation of the model parameters.</p>
                  </text>
                  <file name="1752-0509-2-43-S3.pdf">
                     <p>Click here for file</p>
                  </file>
               </suppl>
               <p>Altogether, our model describes the following processes: intravenous injection of radioactively labeled and unlabeled insulin, pancreatic insulin secretion, hepatic and renal insulin degradation, hepatic insulin receptor activation and nonspecific insulin binding by the liver.</p>
            </sec>
            <sec>
               <st>
                  <p>Parameterization of the model</p>
               </st>
               <p><it>In vivo </it>model parameters cannot be measured directly in most cases. Taking parameters from <it>in vitro </it>experiments or models for <it>in vivo </it>processes is a promising alternative. Note that this can be problematic since the <it>in vitro </it>parameter values may not be similar to their <it>in vivo </it>counterparts. However, it is the only possibility if there is not sufficient experimental data and a model structure that guarantees identifiability. Using <it>in vitro </it>parameters or otherwise determined model parameters and linking kinetic models of smaller parts of the overall system together is frequently performed, e.g. by the Silicon Cell project <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>. This strategy is structurally supported by modular modeling tools, e.g. ProMoT <abbrgrp><abbr bid="B48">48</abbr></abbrgrp>.</p>
               <p>In this study, model parameters (Table <tblr tid="T1">1</tblr>) are taken from previously published <it>in vitro </it>experiments <abbrgrp><abbr bid="B47">47</abbr><abbr bid="B49">49</abbr><abbr bid="B50">50</abbr><abbr bid="B51">51</abbr><abbr bid="B52">52</abbr><abbr bid="B53">53</abbr><abbr bid="B54">54</abbr><abbr bid="B55">55</abbr></abbrgrp> and small models of insulin binding <abbrgrp><abbr bid="B36">36</abbr></abbrgrp>, receptor internalization <abbrgrp><abbr bid="B34">34</abbr></abbrgrp> and nonspecific hepatic insulin binding <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>. The models from literature <abbrgrp><abbr bid="B34">34</abbr><abbr bid="B36">36</abbr><abbr bid="B46">46</abbr></abbrgrp> were combined and kinetic parameters for the remaining processes were taken from <it>in vitro </it>data.</p>
               <tbl id="T1">
                  <title>
                     <p>Table 1</p>
                  </title>
                  <caption>
                     <p>Model parameters and initial conditions</p>
                  </caption>
                  <tblbdy cols="4">
                     <r>
                        <c ca="center">
                           <p>Parameter</p>
                        </c>
                        <c ca="center">
                           <p>Value</p>
                        </c>
                        <c ca="center">
                           <p>Source</p>
                        </c>
                        <c ca="center">
                           <p>Meaning of the parameter</p>
                        </c>
                     </r>
                     <r>
                        <c cspan="4">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>kins</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>10<sup>-3 </sup><it>nM</it><sup>-1 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[36]</p>
                        </c>
                        <c ca="center">
                           <p>insulin binding to the receptor</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>kins</it>1<it>d</it></p>
                        </c>
                        <c ca="center">
                           <p>4&#183;10<sup>-4 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[36]</p>
                        </c>
                        <c ca="center">
                           <p>insulin dissociation from the receptor (I1, PM)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>kins</it>2<it>d</it></p>
                        </c>
                        <c ca="center">
                           <p>4&#183;10<sup>-2 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[36]</p>
                        </c>
                        <c ca="center">
                           <p>insulin dissociation from the receptor (I2, PM)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>kins</it>1<it>den</it></p>
                        </c>
                        <c ca="center">
                           <p>1.925&#183;10<sup>-3 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[49]</p>
                        </c>
                        <c ca="center">
                           <p>insulin dissociation from the receptor (I1, EN)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>kins</it>2<it>den</it></p>
                        </c>
                        <c ca="center">
                           <p>3.85&#183;10<sup>-3 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[50]</p>
                        </c>
                        <c ca="center">
                           <p>insulin dissociation from the receptor (I2, EN)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>kyd</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>3.85&#183;10<sup>-3 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[51]</p>
                        </c>
                        <c ca="center">
                           <p>receptor dephosphorylation (PM)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>kyden</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>7.22&#183;10<sup>-3 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[52]</p>
                        </c>
                        <c ca="center">
                           <p>receptor dephosphorylation (EN)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>kyp</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.0231 <it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[52]</p>
                        </c>
                        <c ca="center">
                           <p>autophosphorylation of the receptor (I1 and I2)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>intk</it>1</p>
                        </c>
                        <c ca="center">
                           <p>5.5&#183;10<sup>-4 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[34]</p>
                        </c>
                        <c ca="center">
                           <p>internalization of phosphorylated receptors</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>intk</it>2</p>
                        </c>
                        <c ca="center">
                           <p>2&#183;10<sup>-4 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[34]</p>
                        </c>
                        <c ca="center">
                           <p>internalization of unphosphorylated receptors</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>reck</it>1</p>
                        </c>
                        <c ca="center">
                           <p>1.533&#183;10<sup>-3 </sup><it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[34]</p>
                        </c>
                        <c ca="center">
                           <p>recycling of receptors without insulin</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>k</it>1<it>ub</it></p>
                        </c>
                        <c ca="center">
                           <p>0.35 <it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[46]</p>
                        </c>
                        <c ca="center">
                           <p>nonspecific insulin binding in the liver</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p><it>k</it>2<it>ub</it></p>
                        </c>
                        <c ca="center">
                           <p>0.2 <it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[46]</p>
                        </c>
                        <c ca="center">
                           <p>dissociation of nonspecifically bound insulin</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>pansec</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.0016976 <it>nM</it>&#183;<it>s</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>calc.</p>
                        </c>
                        <c ca="center">
                           <p>pancreatic insulin secretion</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>K pan</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.5 <it>nM</it></p>
                        </c>
                        <c ca="center">
                           <p>ass.</p>
                        </c>
                        <c ca="center">
                           <p>concentration of half-maximal insulin secretion</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>m</it>
                              <sub>
                                 <it>liver</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.05&#183;<it>m</it><sub><it>body</it></sub></p>
                        </c>
                        <c ca="center">
                           <p>[46]</p>
                        </c>
                        <c ca="center">
                           <p>mass of the liver</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>v</it>
                              <sub>
                                 <it>p</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.03375&#183;10<sup>-3 </sup><it>l</it>&#183;<it>g</it><sup>-1</sup>&#183;<it>m</it><sub><it>body</it></sub></p>
                        </c>
                        <c ca="center">
                           <p>[54]</p>
                        </c>
                        <c ca="center">
                           <p>plasma volume</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>&#961;</it>
                              <sub>
                                 <it>liver</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>1.051&#183;10<sup>3 </sup>g&#183;<it>l</it><sup>-1</sup></p>
                        </c>
                        <c ca="center">
                           <p>[53]</p>
                        </c>
                        <c ca="center">
                           <p>density of the liver</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>v</it>
                              <sub>
                                 <it>hep</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>(<it>m</it><sub><it>liver</it></sub>/<it>&#961;</it><sub><it>liver</it></sub>)&#183;0.78</p>
                        </c>
                        <c ca="center">
                           <p>[45]</p>
                        </c>
                        <c ca="center">
                           <p>total hepatocyte volume</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>v</it>
                              <sub>
                                 <it>d</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.272&#183;10<sup>-3 </sup><it>l</it>&#183;<it>g</it><sup>-1</sup>&#183;<it>v</it><sub><it>hep</it></sub>&#183;<it>&#961;</it><sub><it>liver</it></sub></p>
                        </c>
                        <c ca="center">
                           <p>[46]</p>
                        </c>
                        <c ca="center">
                           <p>volume of the space of Disse</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>m</it>
                              <sub>
                                 <it>kidney</it>
                              </sub>
                           </p>
                        </c>
                        <c ca="center">
                           <p>2&#183;0.85 <it>g</it>&#183;<it>m</it><sub><it>body</it>/</sub>(230 <it>g</it>)</p>
                        </c>
                        <c ca="center">
                           <p>[55]</p>
                        </c>
                        <c ca="center">
                           <p>mass of the kidney</p>
                        </c>
                     </r>
                     <r>
                        <c ca="center">
                           <p>
                              <it>K kidney</it>
                           </p>
                        </c>
                        <c ca="center">
                           <p>0.0225&#183;10<sup>-3 </sup><it>l</it>&#183;(<it>s</it>&#183;<it>g</it>)<sup>-1</sup>&#183;<it>m</it><sub><it>kidney</it></sub></p>
                        </c>
                        <c ca="center">
                           <p>[47]</p>
                        </c>
                        <c ca="center">
                           <p>clearance of the kidney</p>
                        </c>
                     </r>
                  </tblbdy>
                  <tblfn>
                     <p>Note that <it>m</it><sub><it>body </it></sub>(body weight in <it>g</it>), <it>t</it><sub><it>in </it></sub>(injection time in <it>s</it>), <it>n</it><sub><it>in </it></sub>and <it>n</it><sub>*,<it>in </it></sub>(amounts of injected unlabeled and labeled insulin in <it>nmol</it>) are also model parameters. We do not give values for them in this table as they depend on the analyzed scenario. Note that the model can be used for rats of arbitrary body weights as well as for different injection times and amounts of injected labeled and unlabeled insulin. Initial conditions are: <it>Ins </it>= 0.07, <it>Ins</it>* = 0, <it>R </it>= 31.619, <it>IR </it>= 0.430007, <it>I</it>2<it>R </it>= 0.000696311, <it>Rp </it>= 0.227528, <it>IRp </it>= 2.07275, <it>I</it>2<it>Rp </it>= 0.00363012, <it>R</it><sub><it>en </it></sub>= 4.88528, <it>IR</it><sub><it>en </it></sub>= 0.145537, <it>I</it>2<it>R</it><sub><it>en </it></sub>= 0.000121295, <it>Rp</it><sub><it>en </it></sub>= 0.122602, <it>IRp</it><sub><it>en </it></sub>= 0.492464, <it>I</it>2<it>Rp</it><sub><it>en </it></sub>= 0.000433466, <it>Ins</it><sub><it>ub </it></sub>= 1.29948&#183;10<sup>-6</sup>&#183;<it>m</it><sub><it>body</it></sub>, <it>Ins</it><sub>*,<it>ub </it></sub>= 0. The unit of <it>Ins</it><sub><it>ub </it></sub>and <it>Ins</it><sub>*,<it>ub </it></sub>is <it>nmol</it>, the unit of all other state variables is <it>nM</it>. ass.: assumption, calc.: calculation (see Additional file <supplr sid="S4">4</supplr>), EN: in endosomes, PM: at the plasma membrane, <it>I</it>1: one insulin molecule bound to the receptor, <it>I</it>2: two insulin molecules bound to the receptor.</p>
                  </tblfn>
               </tbl>
               <p>The parameters from the models of insulin binding <abbrgrp><abbr bid="B36">36</abbr></abbrgrp> and nonspecific insulin binding in the liver <abbrgrp><abbr bid="B46">46</abbr></abbrgrp> were directly taken for our model. The relatively simple models for receptor internalization and recycling at high insulin concentrations and without insulin <abbrgrp><abbr bid="B34">34</abbr></abbrgrp> were combined to describe receptor internalization and recycling at arbitrary insulin concentrations.</p>
               <p>The parameters for pancreatic insulin secretion were chosen to guarantee the physiological basal level of insulin (0.07 <it>nM</it>, Gisela Drews, personal communication) and to cut off insulin synthesis at peak concentrations in insulin therapy (0.5 <it>nM </it><abbrgrp><abbr bid="B16">16</abbr><abbr bid="B17">17</abbr></abbrgrp>).</p>
               <p>This study uses the rat as model organism because much more parameters are known for rats than for humans. The model validation is performed using experimental data sets for rats.</p>
               <p>All volumes are assumed to be constant. In addition, all tissues are assumed to contact the same total insulin concentration, which is the sum of labeled and unlabeled insulin. The physiological justification of this assumption is the high heart rate of rats (320 &#8211; 480 <it>bpm </it><abbrgrp><abbr bid="B54">54</abbr></abbrgrp>) that guarantees a fast distribution of circulating insulin.</p>
            </sec>
            <sec>
               <st>
                  <p>The liver</p>
               </st>
               <p>Insulin degradation in hepatocytes is modeled in a very detailed way. The described processes are successive binding of two insulin molecules to the insulin receptor, receptor phosphorylation and receptor internalization (Figure <figr fid="F1">1</figr>). In accordance with experimental results <abbrgrp><abbr bid="B56">56</abbr></abbrgrp>, the described processes lead to saturation of hepatic insulin degradation at high insulin concentrations.</p>
               <fig id="F1">
                  <title>
                     <p>Figure 1</p>
                  </title>
                  <caption>
                     <p>Insulin receptor activation in hepatocytes</p>
                  </caption>
                  <text>
                     <p><b>Insulin receptor activation in hepatocytes</b>. The receptor is denoted as <it>R</it>. One or two insulin molecules can bind to the receptor (green arrows). This is indicated by a prefix <it>I </it>or <it>I</it>2, respectively. Receptor phosphorylation (blue arrows) is indicated by a suffix <it>p</it>, receptor internalization to the endosomal compartment (red arrows) is indicated by a subscript <it>en</it>. Arrows with two heads indicate reversible reactions. Arrows with one head indicate irreversible reactions. Filled arrowheads indicate positive direction of rates.</p>
                  </text>
                  <graphic file="1752-0509-2-43-1"/>
               </fig>
               <p>Model assumptions that are supported by studies from literature are:</p>
               <p>&#8226; <it>Insulin binding and dissociation are independent of the phosphorylation state of the receptor</it>. This is directly supported by experimental evidence <abbrgrp><abbr bid="B42">42</abbr></abbrgrp>.</p>
               <p>&#8226; <it>Only receptors with bound insulin show autophosphorylation activity</it>. Autophosphorylation is induced by insulin binding <abbrgrp><abbr bid="B2">2</abbr></abbrgrp> and there is no experimental data quantifying autophosphorylation of receptors without bound insulin.</p>
               <p>&#8226; <it>Receptor dephosphorylation is independent of insulin binding</it>. Receptor dephosphorylation is performed by protein phosphatases <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. It seems very unlikely that insulin binding to the extracellular <it>&#945;</it>-chain of the receptor induces conformational changes in the intracellular <it>&#946;</it>-chain that are large enough to significantly change the affinity of phosphatases for their phosphorylated substrate sites.</p>
               <p>&#8226; <it>Insulin dissociation from endosomal receptors is irreversible</it>. Upon internalization, the pH in endosomes decreases rapidly, which promotes insulin dissociation from the receptor <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>. Free endosomal insulin is degraded by proteases <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>.</p>
               <p>&#8226; <it>Only receptors without insulin are recycled</it>. Receptor recycling is faster if there is no external insulin <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>. This leads to the assumption that an additional step for receptors with bound insulin is necessary before recycling is possible. A very promising candidate for this step is insulin dissociation from the receptor. In this case, a single rate constant for recycling, independent of insulin concentration is sufficient to explain the observation.</p>
               <p>&#8226; <it>Phosphorylated receptors are internalized faster than unphosphorylated receptors</it>. In the presence of higher insulin concentrations, more insulin receptors are phosphorylated <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. Receptor internalization is faster at high insulin concentrations than without external insulin <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>. In addition, there are reports that receptor internalization depends on phosphorylation <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>.</p>
               <p>&#8226; <it>Labeled and unlabeled insulin show the same physiological characteristics</it>. Labeling of the insulin molecules was performed with <sup>125</sup>I <abbrgrp><abbr bid="B57">57</abbr><abbr bid="B58">58</abbr><abbr bid="B59">59</abbr></abbrgrp>. The size of this modification is small compared to the size of the insulin molecule and should not change its binding characteristics, the effect on receptor phosphorylation, the rate of nonspecific insulin binding or the rate of renal insulin filtration.</p>
               <p>&#8226; <it>All processes in hepatocytes obey mass action kinetics</it>. The processes that were adopted from other models obey mass action kinetics <abbrgrp><abbr bid="B34">34</abbr><abbr bid="B36">36</abbr><abbr bid="B46">46</abbr></abbrgrp>. Mass action kinetics is a good and frequently used approximation for processes at the molecular level.</p>
               <p>For the following assumptions there is no experimental data in literature supporting them. These assumptions were made to keep the number of parameters as low as possible.</p>
               <p>&#8226; <it>Receptors with one or two bound insulin molecules show the same autophosphorylation activity</it>.</p>
               <p>&#8226; <it>Receptor recycling is independent of receptor phosphorylation</it>.</p>
               <p>In the following, the insulin receptor is denoted as <it>R</it>. The binding of one or two insulin molecules is indicated by a prefix <it>I </it>or <it>I</it>2, respectively. A suffix <it>p </it>indicates receptor phosphorylation, a subscript <it>en </it>indicates internalization to the endosomal compartment. All concentrations of receptor species refer to <it>v</it><sub><it>hep</it></sub>, the total volume of hepatocytes.</p>
               <p>In general, rates denoted by the standard notation <it>r</it><sub><it>j </it></sub>describe processes at the plasma membrane of hepatocytes or outside the hepatocytes (nonspecific insulin binding, pancreatic insulin secretion and renal insulin removal). Rates denoted by <it>i</it><sub><it>j </it></sub>describe <it>internal </it>processes occurring in endosomes of hepatocytes, and rates denoted by <it>f</it><sub><it>j </it></sub>describe <it>flows </it>between the plasma membrane and endosomes of hepatocytes.</p>
               <p>Figure <figr fid="F1">1</figr> shows the reaction scheme of processes in hepatocytes.</p>
               <p>The hepatocyte part of the model does not distinguish between labeled and unlabeled insulin, which reduces the number of necessary ODEs. Hepatocytes have contact to the total insulin concentration <it>Ins </it>that is the sum of labeled and unlabeled insulin concentrations. The concentration of labeled insulin is denoted as <it>Ins</it><sub>* </sub>. Unlabeled insulin (<it>Ins </it>&#8211; <it>Ins</it><sub>*</sub>) has no separate notation. The total contribution of the liver to insulin degradation is</p>
               <p>
                  <display-formula><it>r</it><sub><it>liv </it></sub>= (-<it>r</it><sub>1 </sub>- <it>r</it><sub>2 </sub>- <it>r</it><sub>3 </sub>- <it>r</it><sub>4</sub>)&#183;<it>v</it><sub><it>hep</it></sub>/<it>v</it><sub><it>p</it></sub>.</display-formula>
               </p>
               <p>The plasma volume is denoted as <it>v</it><sub><it>p</it></sub>, the total hepatocyte volume is denoted as <it>v</it><sub><it>hep</it></sub>. Strictly speaking, <it>r</it><sub><it>liv </it></sub>defines insulin removal from the blood, whereas insulin degradation is performed in hepatic endosomes. However, <it>r</it><sub><it>liv </it></sub>is the contribution of the liver to insulin dynamics. In the stationary case, the values of the rates for insulin removal and insulin degradation are identical.</p>
               <p>Rates <it>r</it><sub>1 </sub>&#8211; <it>r</it><sub>4 </sub>describe insulin binding to the insulin receptor at the plasma membrane. The values of the parameters <it>kins</it>, <it>kins</it>1<it>d </it>and <it>kins</it>2<it>d </it>were directly taken from the model of Wanant et al. <abbrgrp><abbr bid="B36">36</abbr></abbrgrp>.</p>
               <p>
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                                             <m:mn>1</m:mn>
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                                          <m:mo>=</m:mo>
                                          <m:mi>k</m:mi>
                                          <m:mi>i</m:mi>
                                          <m:mi>n</m:mi>
                                          <m:mi>s</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>R</m:mi>
                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>n</m:mi>
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                                          <m:mo>&#8722;</m:mo>
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                                          <m:mi>s</m:mi>
                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>p</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
                                          <m:mi>n</m:mi>
                                          <m:mi>s</m:mi>
                                          <m:mo>&#8722;</m:mo>
                                          <m:mi>k</m:mi>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>p</m:mi>
                                          <m:mo>&#8901;</m:mo>
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               <p>Rates <it>r</it><sub>5 </sub>&#8211; <it>r</it><sub>7 </sub>describe receptor phosphorylation at the plasma membrane.</p>
               <p>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>p</m:mi>
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                                 </m:mtr>
                                 <m:mtr>
                                    <m:mtd>
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                                          <m:mi>k</m:mi>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>R</m:mi>
                                          <m:mo>&#8722;</m:mo>
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                                          <m:mi>y</m:mi>
                                          <m:mi>d</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
                                          <m:mi>R</m:mi>
                                          <m:mi>p</m:mi>
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                                    <m:mtd>
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                                          <m:mi>d</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
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                                          <m:mi>R</m:mi>
                                          <m:mi>p</m:mi>
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               </p>
               <p>Rates <it>i</it><sub>1 </sub>&#8211; <it>i</it><sub>4 </sub>describe insulin dissociation from the receptor in endosomes.</p>
               <p>
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                                          <m:maligngroup/>
                                          <m:mo>=</m:mo>
                                          <m:mi>k</m:mi>
                                          <m:mi>i</m:mi>
                                          <m:mi>n</m:mi>
                                          <m:mi>s</m:mi>
                                          <m:mn>1</m:mn>
                                          <m:mi>d</m:mi>
                                          <m:mi>e</m:mi>
                                          <m:mi>n</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
                                          <m:msub>
                                             <m:mi>R</m:mi>
                                             <m:mrow>
                                                <m:mi>e</m:mi>
                                                <m:mi>n</m:mi>
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                                 </m:mtr>
                                 <m:mtr>
                                    <m:mtd>
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                                             <m:mi>i</m:mi>
                                             <m:mn>2</m:mn>
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                                          <m:mi>R</m:mi>
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                                             <m:mi>p</m:mi>
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                                          <m:mi>s</m:mi>
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                                          <m:mi>d</m:mi>
                                          <m:mi>e</m:mi>
                                          <m:mi>n</m:mi>
                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
                                          <m:mn>2</m:mn>
                                          <m:msub>
                                             <m:mi>R</m:mi>
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                                                <m:mi>e</m:mi>
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                                 <m:mtr>
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                                          <m:mo>=</m:mo>
                                          <m:mi>k</m:mi>
                                          <m:mi>i</m:mi>
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                                          <m:mi>s</m:mi>
                                          <m:mn>2</m:mn>
                                          <m:mi>d</m:mi>
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                                          <m:mo>&#8901;</m:mo>
                                          <m:mi>I</m:mi>
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               <p>Rates <it>i</it><sub>5 </sub>&#8211; <it>i</it><sub>7 </sub>describe receptor phosphorylation in endosomes.</p>
               <p>
                  <display-formula>
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               <p>According to our model assumptions, unphosphorylated receptors without insulin (<it>R </it>and <it>R</it><sub><it>en</it></sub>) have no autophosphorylation activity. Therefore, the reactions represented by the rates <it>r</it><sub>5 </sub>and <it>i</it><sub>5 </sub>are irreversible. Rates <it>f</it><sub>1 </sub>&#8211; <it>f</it><sub>6 </sub>describe receptor internalization and recycling.</p>
               <p>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>c</m:mi>
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               </p>
               <p>The value of the parameter <it>intk</it>1 was directly taken from a model of receptor internalization and recycling at high insulin concentrations <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>. The values of the parameters <it>intk</it>2 and <it>reck</it>1 are from a model of receptor internalization and recycling without insulin <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>.</p>
               <p>Altogether, the described processes result in the following balance equations for hepatic insulin receptor species.</p>
               <p>
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               <p>The liver also performs nonspecific insulin binding. This reversible process does not saturate <abbrgrp><abbr bid="B46">46</abbr></abbrgrp> and dampens rapid variations in insulin concentration. The rates <it>r</it><sub><it>ub </it></sub>and <it>r</it><sub>*,<it>ub </it></sub>define nonspecific binding of unlabeled and labeled insulin, respectively.</p>
               <p>
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                                             <m:mover>
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                                                   <m:mi>I</m:mi>
                                                   <m:mi>n</m:mi>
                                                   <m:mi>s</m:mi>
                                                   <m:mo>&#8722;</m:mo>
                                                   <m:mi>I</m:mi>
                                                   <m:mi>n</m:mi>
                                                   <m:msub>
                                                      <m:mi>s</m:mi>
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                                                <m:mo stretchy="true">&#65079;</m:mo>
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                                                <m:mtext mathsize="small">unlabeled&#160;insulin</m:mtext>
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                                             <m:mi>s</m:mi>
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                                             <m:mi>v</m:mi>
                                             <m:mi>p</m:mi>
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                                             <m:mi>r</m:mi>
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                                                <m:mo>&#8727;</m:mo>
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                                                <m:mi>b</m:mi>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>n</m:mi>
                                          <m:msub>
                                             <m:mi>s</m:mi>
                                             <m:mo>&#8727;</m:mo>
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                                          <m:mo>&#8901;</m:mo>
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                                          <m:mn>2</m:mn>
                                          <m:mi>u</m:mi>
                                          <m:mi>b</m:mi>
                                          <m:mo>&#8901;</m:mo>
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                                          <m:mi>n</m:mi>
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                                             <m:mi>s</m:mi>
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                                                <m:mo>&#8727;</m:mo>
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                                             <m:mi>v</m:mi>
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               <p>The values of the parameters <it>k</it>1<it>ub </it>and <it>k</it>2<it>ub </it>were directly taken from the model of Hammond et al. <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>. The volume of the space of Disse, in which nonspecific insulin binding takes place, is denoted as <it>v</it><sub><it>d</it></sub>. The concentration of unlabeled insulin is <it>Ins </it>&#8211; <it>Ins</it><sub>* </sub>(unit: <it>nM</it>), while <it>Ins</it><sub>*,<it>ub </it></sub>and <it>Ins</it><sub><it>ub </it></sub>are the amounts of substance (unit: <it>nmol</it>) for nonspecifically bound labeled and unlabeled insulin, respectively. The expressions for the forward reactions of the rates <it>r</it><sub><it>ub </it></sub>and <it>r</it><sub>*,<it>ub </it></sub>are multiplied by <it>v</it><sub><it>d </it></sub>(unit: <it>l</it>) as <it>Ins </it>and <it>Ins</it><sub>* </sub>(unit: <it>nM</it>) are concentrations, whereas <it>Ins</it><sub><it>ub </it></sub>and <it>Ins</it><sub>*,<it>ub </it></sub>are amounts of substance (unit: <it>nmol</it>). The balances of the amounts of nonspecifically bound labeled and unlabeled insulin are given by</p>
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