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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="editorial">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">EXCLI J</journal-id>
      <journal-title>EXCLI Journal</journal-title>
      <issn pub-type="epub">1611-2156</issn>
      <publisher>
        <publisher-name>Leibniz Research Centre for Working Environment and Human Factors</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">2015-759</article-id>
	  <article-id pub-id-type="doi">10.17179/excli2015-759</article-id>
      <article-id pub-id-type="pii">Doc1261</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Editorial material</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Interspecies extrapolation by physiologically based pharmacokinetic modeling</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ghallab</surname>
            <given-names>Ahmed</given-names>
          </name>
          <xref ref-type="corresp" rid="COR1">&#x0002a;</xref>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>Forensic Medicine and Toxicology Department, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt</aff>
      <author-notes>
        <corresp id="COR1">*To whom correspondence should be addressed: Ahmed Ghallab, Forensic Medicine and Toxicology Department, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt, E-mail: <email>ghallab@vet.svu.edu.eg</email></corresp>
      </author-notes>
      <pub-date pub-type="epub">
        <day>21</day>
        <month>12</month>
        <year>2015</year>
      </pub-date>
      <pub-date pub-type="collection">
        <year>2015</year>
      </pub-date>
      <volume>14</volume>
      <fpage>1261</fpage>
	  <lpage>1263</lpage>
      <history>
        <date date-type="received">
          <day>30</day>
          <month>11</month>
          <year>2015</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>12</month>
          <year>2015</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright &#xA9; 2015 Ghallab</copyright-statement>
        <copyright-year>2015</copyright-year>
       <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
          <p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/) You are free to copy, distribute and transmit the work, provided the original author and source are credited.</p>
        </license>
      </permissions>
      <self-uri xlink:href="http://www.excli.de/vol14/Ghallab_21122015_proof.pdf">This article is available from http://www.excli.de/vol14/Ghallab_21122015_proof.pdf</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>⁯⁯⁯</title><p>Recently, Christoph Thiel and colleagues from Aachen University published an improved physiologically based pharmacokinetik modeling (PBPK) technique for mouse to human extrapolation (Thiel et al., 2015[<xref ref-type="bibr" rid="R18">18</xref>]). This publication will be awarded by the Ebert Prize 2016 of the American Pharmacist Association, which represents the oldest pharmacy award in the United States.</p><p>The translation of preclinical knowledge often generated in mice to first-in-human studies represents a critical step (Thiel et al., 2015[<xref ref-type="bibr" rid="R18">18</xref>]). More than 30 &#x25; of developmental compounds fail due to interspecies differences. To improve the situation, the authors used PBPK modeling to predict human plasma concentration-time profiles based on mouse data. The study was based on 10 exemplary drugs for which a comprehensive pharmacokinetic database is available. Mouse to human extrapolation was achieved by adjustment of four model parameter domains (Thiel et al., 2015[<xref ref-type="bibr" rid="R18">18</xref>]): </p><p><list list-type="order"><list-item><p>species-specific physiology, such as differences in organ size, perfusion, etc. </p></list-item><list-item><p>the species-specific non-protein bound fraction of the test compound, </p></list-item><list-item><p> kinetic parameters, such as V<sub>max</sub> and K<sub>M</sub> for the primary route of excretion, and</p></list-item><list-item><p>tissue-specific gene expression of the metabolizing key enzymes and transporters.</p></list-item></list></p><p>The authors start with a na&#xEF;ve extrapolation where humans are considered as &#x27;large mice&#x27; where the same dose per body weight was administered (Thiel et al., 2015[<xref ref-type="bibr" rid="R18">18</xref>]). This na&#xEF;ve extrapolation usually resulted in predictions that strongly deviate from the real human situation. Next the authors showed that knowledge-based adjustment of each of the four model domains leads to an improvement and allows predictions which closely resemble the measured situation in humans. A limitation of the current approach is that gene expression data were used to adjust for interspecies differences in metabolism. In future, predictions may become even more accurate if RNA based data could be replaced by metabolic activities. </p><p>Interspecies differences represent a major problem in toxicology (Dohnal et al., 2014[<xref ref-type="bibr" rid="R5">5</xref>]; Bernauer et al., 2000[<xref ref-type="bibr" rid="R1">1</xref>]; Br&#xFC;ning et al., 2014[<xref ref-type="bibr" rid="R2">2</xref>]; Gerbracht and Spielmann, 1998[<xref ref-type="bibr" rid="R9">9</xref>]; Unkila et al., 1995[<xref ref-type="bibr" rid="R19">19</xref>]; Leist and Hartung, 2013[<xref ref-type="bibr" rid="R15">15</xref>]). Rodent to human comparisons have often been performed by comparing data in human and mouse or rat hepatocytes (Carmo et al., 2004[<xref ref-type="bibr" rid="R3">3</xref>], 2005[<xref ref-type="bibr" rid="R4">4</xref>]; Reder-Hilz et al., 2004[<xref ref-type="bibr" rid="R16">16</xref>]; Hewitt et al., 2007[<xref ref-type="bibr" rid="R12">12</xref>]; Gebhardt et al., 2003[<xref ref-type="bibr" rid="R8">8</xref>]; Godoy et al., 2013[<xref ref-type="bibr" rid="R10">10</xref>]; Hengstler et al., 1999[<xref ref-type="bibr" rid="R11">11</xref>]). However, differences in metabolism represent only one of several aspects which can explain interspecies differences. </p><p>PBPK modeling has been used since long to predict absorption, distribution, metabolism and excretion (Sterner et al., 2013[<xref ref-type="bibr" rid="R17">17</xref>]; Lee et al., 2007[<xref ref-type="bibr" rid="R14">14</xref>]; Jonsson et al., 2001[<xref ref-type="bibr" rid="R13">13</xref>]; El-Masri et al., 1996[<xref ref-type="bibr" rid="R7">7</xref>][<xref ref-type="bibr" rid="R6">6</xref>]). However, the approach presented by Thiel and colleagues (2015[<xref ref-type="bibr" rid="R18">18</xref>]), in which all parameter domains relevant for interspecies differences can be stepwise adjusted, represents an important step to improve extrapolations from rodent models to predict the human situation.</p></sec>
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