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    <font face="Arial">Dear Johannes,<br>
      <br>
      Could you send me a copy of this paper?<br>
      <br>
      Best regards,<br>
      <br>
      Sam<br>
      <br>
      <br>
    </font>
    <div class="moz-cite-prefix">Op 19-3-2013 21:34, Johannes W.
      Dietrich schreef:<br>
    </div>
    <blockquote
      cite="mid:ADE1FF75-C702-4969-99B7-1EFB293EA64C@ruhr-uni-bochum.de"
      type="cite">
      <div>Recently, a new paper using SPINA has been published in the
        Journal of Clinical Pathology. By combining in-silico modelling
        using SimThyr with an observation study in a large clinical
        sample (n=6641) it could be demonstrated that TSH levels are not
        unambiguously coupled to FT4 levels. To add even more
        complexity, GT values in different ranges were associated with a
        different influence of structure parameters on TSH levels in
        sensitivity analysis.</div>
      <div><br>
      </div>
      <div>These observations question the log-linear standard model of
        thyroid homeostasis and suggest that a hierarchically structured
        model of the hypothalamic pituitary thyroid interaction may be a
        more appropriate description of pituitary thyrotroph physiology.</div>
      <div><br>
      </div>
      <div>The results of this study are of considerable importance for
        diagnostic evaluation of thyroid homeostasis, since they
        demonstrate that a pure TSH-centric approach may be inadequate
        for diagnosis of thyroid function in some, if not most, affected
        patients.</div>
      <div><br>
      </div>
      <div><br>
      </div>
      <div>Abstract:</div>
      <div>Aims: Understanding the exact relationship between serum
        thyrotropin/thyroid stimulating hormone (TSH) and free thyroxine
        (FT4) is a prerequisite for improving diagnostic reliability and
        clinical decision making. </div>
      <div><br>
      </div>
      <div>Methods: We (1) retrospectively studied the relationship
        between TSH and FT4 in a large unselected clinical sample
        (n=6641) of primary hypothyroid, euthyroid and hyperthyroid
        subjects, and (2) applied a mathematical model of thyroid
        hormone feedback control to assess the relation between
        structural parameters and TSH levels in the different functional
        states. </div>
      <div><br>
      </div>
      <div>Results: When separately analysing total sample and untreated
        subjects, the correlation slope for logTSH versus FT4 for
        hypothyroid subjects was significantly different from that of
        the euthyroid panel and hyperthyroid subjects (the latter being
        compromised by reaching the TSH assay's lower detection limit).
        As trends between functional states changed, each functional
        segment appeared to become differently regulated. Theoretical
        modelling and sensitivity analysis revealed that the influence
        of various structural parameters on TSH levels also depends on
        the overall function of the feedback loop. </div>
      <div><br>
      </div>
      <div>Conclusions: Our data suggest that the states of
        hypothyroidism, euthyroidism and hyperthyroidism can be regarded
        as differently regulated entities. The apparent complexity could
        be replicated by mathematical modelling suggesting a
        hierarchical type of feedback regulation involving patterns of
        operative mechanisms unique to each condition. For clinical
        purposes and assay evaluation, neither the standard model
        relating logTSH with FT4, nor an alternative model based on
        non-competitive inhibition can be reliably represented by a
        single correlation comparing all samples for both hormones in
        one all-inclusive group.</div>
      <div><br>
      </div>
      <div>Citation and Access:</div>
      <div>Midgley JE, Hoermann R, Larisch R, Dietrich JW.
        [Physiological states and functional relation between
        thyrotropin and free thyroxine in thyroid health and disease: in
        vivo and in silico data suggest a hierarchical model.](<a
          moz-do-not-send="true"
          href="http://jcp.bmj.com/content/66/4/335.abstract">http://jcp.bmj.com/content/66/4/335.abstract</a>)
        J Clin Pathol. 2013 Apr;66(4):335-342. Epub 2013 Feb 19. [PMID
        23423518](<a moz-do-not-send="true"
          href="http://www.ncbi.nlm.nih.gov/pubmed/23423518">http://www.ncbi.nlm.nih.gov/pubmed/23423518</a>),
        [doi 10.1136/jclinpath-2012-201213](<a moz-do-not-send="true"
          href="http://dx.doi.org/10.1136/jclinpath-2012-201213">http://dx.doi.org/10.1136/jclinpath-2012-201213</a>).</div>
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      <pre wrap="">_______________________________________________
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