2020
DOI: 10.1124/dmd.120.090530
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Are There Any Experimental Perfusion Data that Preferentially Support the Dispersion and Parallel-Tube Models over the Well-Stirred Model of Organ Elimination?

Abstract: In reviewing previously published isolated perfused rat liver studies, we find no experimental data for high clearance metabolized drugs that reasonably or unambiguously supports preference for the dispersion and parallel tube models versus the well-stirred model of organ elimination when only entering and exiting drug concentrations are available. It is likely that the investigators cited here may have been influenced by: 1) the unphysiologic aspects of the well-stirred model, which may have led them to under… Show more

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Cited by 31 publications
(22 citation statements)
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“…Moreover, there was no paper in the literature critically reviewing those experimental studies. In our recent paper ( 12 ) “Are There Any Experimental Perfusion Data that Preferentially Support the Dispersion and Parallel Tube Models Over the Well-Stirred Model of Organ Elimination?” we conclude “Thus, in response to the title of this manuscript, we find no experimental data that reasonably or unambiguously support preference for the dispersion or parallel-tube models versus the well-stirred model of organ elimination when only entering and exiting drug concentrations are available. However, there are data that unambiguously show that C out / C in measurements with changing blood flow and protein binding can only be fit by the well-stirred model.”…”
Section: Why Would Pharmacokineticists/clinical Pharmacologists Believe That Eq 3 Was Model Independent? Moreover Why mentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, there was no paper in the literature critically reviewing those experimental studies. In our recent paper ( 12 ) “Are There Any Experimental Perfusion Data that Preferentially Support the Dispersion and Parallel Tube Models Over the Well-Stirred Model of Organ Elimination?” we conclude “Thus, in response to the title of this manuscript, we find no experimental data that reasonably or unambiguously support preference for the dispersion or parallel-tube models versus the well-stirred model of organ elimination when only entering and exiting drug concentrations are available. However, there are data that unambiguously show that C out / C in measurements with changing blood flow and protein binding can only be fit by the well-stirred model.”…”
Section: Why Would Pharmacokineticists/clinical Pharmacologists Believe That Eq 3 Was Model Independent? Moreover Why mentioning
confidence: 99%
“…The “reference concentration” approach implies there is a noncongruent second definition of clearance. Third, all IPRL experimental data measuring C in and C out appear to only fit the well-stirred model ( 12 ) .…”
Section: Why Would Pharmacokineticists/clinical Pharmacologists Believe That Eq 3 Was Model Independent? Moreover Why mentioning
confidence: 99%
“…In the case of F h , three models using CL int are so far known: well-stirred model, parallel tube model, and dispersion model. Although their performance in estimating F h is similar for many drugs, there is a report that the well-stirred model enormously overestimates the F h in a few drugs with F h lower than 10%, and the dispersion model appeared better at this situation [ 9 ]. The dispersion model assumes the concentration gradient from the capillary inlet to the outlet as in the parallel tube model and free diffusion of solutes along the blood flow axis [ 10 ].…”
Section: Theory and Methods To Predict F Hmentioning
confidence: 99%
“…Preferable is application of such full mechanistic equations for the WSM and PTM that compare E H fittings as carried out by Pang and Rowland (8) who conceded that both models fitted some of these same data equally well (although the WSM was preferred for lidocaine). Such more proper comparisons have been done numerous times since (11). Kochak uses strong language to condemn the structure and operation of the WSM in advocating his version of the misinterpreted PTM.…”
Section: Additional Considerationsmentioning
confidence: 99%