<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD 2.3 20070202//EN" "journalpublishing.dtd">
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  <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">2020-2761</article-id>
      <article-id pub-id-type="doi">10.17179/excli2020-2761</article-id>
      <article-id pub-id-type="pii">Doc1172</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Letter to the editor</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Which concentrations are optimal for <italic>in vitro</italic> testing&#x3F;</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Albrecht</surname>
            <given-names>Wiebke</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>Leibniz Research Centre for Working Environment and Human Factors, Ardeystr. 67, 44139 Dortmund, Germany</aff>
      <author-notes>
        <corresp id="COR1">*To whom correspondence should be addressed: Wiebke Albrecht, Leibniz Research Centre for Working Environment and Human Factors, Ardeystr. 67, 44139 Dortmund, Germany, E-mail: <email>albrecht@ifado.de</email></corresp>
      </author-notes>
      <pub-date pub-type="epub">
        <day>18</day>
        <month>08</month>
        <year>2020</year>
      </pub-date>
      <pub-date pub-type="collection">
        <year>2020</year>
      </pub-date>
      <volume>19</volume>
      <fpage>1172</fpage>
      <lpage>1173</lpage>
      <history>
        <date date-type="received">
          <day>05</day>
          <month>08</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>11</day>
          <month>08</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright &#xA9; 2020 Albrecht</copyright-statement>
        <copyright-year>2020</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="https://www.excli.de/vol19/excli2020-2761.pdf">This article is available from https://www.excli.de/vol19/excli2020-2761.pdf</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>⁯⁯⁯⁯⁯</title><p><bold><italic>Dear Editor,</italic></bold></p><p>Currently, many research activities in the field of <italic>in vitro</italic> models focus at predicting human organ toxicity, e.g. of the liver (Gomez-Lechon et al., 2014[<xref ref-type="bibr" rid="R4">4</xref>]; Grinberg et al., 2014[<xref ref-type="bibr" rid="R6">6</xref>], 2018[<xref ref-type="bibr" rid="R5">5</xref>]; Frey et al., 2014[<xref ref-type="bibr" rid="R3">3</xref>]), kidney (Li et al., 2013[<xref ref-type="bibr" rid="R12">12</xref>], 2014[<xref ref-type="bibr" rid="R11">11</xref>]; Sj&#xF6;gren et al., 2018[<xref ref-type="bibr" rid="R15">15</xref>]; Sj&#xF6;gren and Hornberg, 2019[<xref ref-type="bibr" rid="R16">16</xref>]), heart (Nemade et al., 2018[<xref ref-type="bibr" rid="R13">13</xref>]; Chaudhari et al., 2018[<xref ref-type="bibr" rid="R2">2</xref>]) or developmental toxicity (Krug et al., 2013[<xref ref-type="bibr" rid="R9">9</xref>]; Waldmann et al., 2014[<xref ref-type="bibr" rid="R17">17</xref>]; Shinde et al., 2017[<xref ref-type="bibr" rid="R14">14</xref>]). All studies face a similar challenge, which is the choice of concentrations for <italic>in vitro</italic> testing (Leist et al., 2017[<xref ref-type="bibr" rid="R10">10</xref>]). This question has recently been discussed in an editorial of the Archives of Toxicology, where the authors pointed out that <italic>in vitro </italic>tests are usually performed at a concentration range around and above the plasma peak concentrations (C<sub>max</sub>) of a drug in humans (Hengstler et al., 2020[<xref ref-type="bibr" rid="R8">8</xref>]). A typical strategy is to test relatively high concentrations, often 20- or even 200-fold higher than the human plasma C<sub>max</sub>. The choice of high concentrations was justified by the observation that usually higher concentrations are required in the culture medium to induce cell damage compared to the C<sub>max</sub> that is known to cause adverse effects <italic>in vivo</italic>. We made a similar observation in a recent study using human hepatocytes (Albrecht et al., 2019[<xref ref-type="bibr" rid="R1">1</xref>]; Gu et al., 2018[<xref ref-type="bibr" rid="R7">7</xref>]). The factor by which <italic>in vitro</italic> concentrations have to be higher than the corresponding <italic>in vivo</italic> plasma concentration in order to cause similar biological effects in the target cells is the <italic>in vitro-in vivo</italic> scaling factor. </p><p>However, it should be considered that it is not yet clear if all compounds require identical <italic>in vitro-in vivo</italic> scaling factors. It cannot be excluded that e.g. compounds, whose toxicity depends on specific metabolic pathways may require higher scaling factors than compounds that do not require bio-activation. Moreover, scaling may also depend on the mechanism of toxicity (Hengstler et al., 2020[<xref ref-type="bibr" rid="R8">8</xref>]). To gain more insight into the requirements of optimal scaling it is not helpful to test only one or two concentrations, e.g. 20- and&#x2F;or 200-fold the C<sub>max</sub> and on this basis decide if a compound is positive or negative in the <italic>in vitro</italic> assay. Rather a concentration-dependent test with not too high dilution factors, such as 2- or at most 3.16-fold is helpful to be able to precisely determine the concentration when toxic effects occur, expressed e.g. as EC<sub>10</sub> or EC<sub>50</sub>. This is a precondition to be able to elucidate if groups of compounds categorized e.g. by metabolic activation or mechanism of action require different scaling factors. A limitation to be overcome in the future is that too few studies established high quality, reproducible concentration response relationships for sufficiently high numbers of test compounds that allow a systematic comparison to the human <italic>in vivo </italic>situation. </p></sec>
    <sec>
      <title>Conflict of interest</title><p>The author declares no conflict of interest.</p></sec>
  </body>
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