<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Kunze A</dc:creator>
  <dc:creator>Huwyler J</dc:creator>
  <dc:creator>Poller B</dc:creator>
  <dc:creator>Gutmann H</dc:creator>
  <dc:creator>Camenisch G</dc:creator>
  <dc:date>2014</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Renal clearance is a key determinant of the elimination of drugs. To date, only few in vitro-in vivo extrapolation (IVIVE) approaches have been described to predict the renal organ clearance as the net result of glomerular filtration, tubular secretion, and tubular reabsorption. In this study, we measured in LLC-PK1 cells the transport of 20 compounds that cover all four classes of the Biopharmaceutical Drug Disposition System. These data were incorporated into a novel kidney model to predict all renal clearance processes in human. We showed that filtration and secretion were main contributors to the renal organ clearance for all compounds, whereas reabsorption was predominant for compounds assigned to classes 1 and 2. Our results suggest that anionic drugs were not significantly secreted in LLC-PK1 cells, resulting in under-predicted clearances. When all study compounds were included a high overall correlation between the reported and predicted renal organ clearances was obtained (R² = 0.83). The prediction accuracy in terms of percentage within twofold and threefold error was 70% and 95%, respectively. In conclusion, our novel IVIVE method allowed to predict the human renal organ clearance and the contribution of each underlying process.</dc:description>
  <dc:identifier>https://sonar.ch/global/documents/232234</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1002/jps.23851</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/pmid/24549735</dc:relation>
  <dc:source>Journal of pharmaceutical sciences. - 2014</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">LLC-PK1 cell line</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">clearance prediction</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">drug transport</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">in vitro models</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">in vitro-in vivo correlations (IVIVC)</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">membrane transport</dc:subject>
  <dc:subject xmlns:ns7="xml" ns7:lang="en">permeability</dc:subject>
  <dc:subject xmlns:ns8="xml" ns8:lang="en">pharmacokinetics</dc:subject>
  <dc:subject xmlns:ns9="xml" ns9:lang="en">renal clearance</dc:subject>
  <dc:subject xmlns:ns10="xml" ns10:lang="en">renal reabsorption</dc:subject>
  <dc:subject xmlns:ns11="xml" ns11:lang="en">Absorption</dc:subject>
  <dc:subject xmlns:ns12="xml" ns12:lang="en">Algorithms</dc:subject>
  <dc:subject xmlns:ns13="xml" ns13:lang="en">Animals</dc:subject>
  <dc:subject xmlns:ns14="xml" ns14:lang="en">Biological Transport</dc:subject>
  <dc:subject xmlns:ns15="xml" ns15:lang="en">Cell Membrane Permeability</dc:subject>
  <dc:subject xmlns:ns16="xml" ns16:lang="en">Glomerular Filtration Rate</dc:subject>
  <dc:subject xmlns:ns17="xml" ns17:lang="en">Humans</dc:subject>
  <dc:subject xmlns:ns18="xml" ns18:lang="en">Kidney</dc:subject>
  <dc:subject xmlns:ns19="xml" ns19:lang="en">Kidney Tubules</dc:subject>
  <dc:subject xmlns:ns20="xml" ns20:lang="en">LLC-PK1 Cells</dc:subject>
  <dc:subject xmlns:ns21="xml" ns21:lang="en">Metabolic Clearance Rate</dc:subject>
  <dc:subject xmlns:ns22="xml" ns22:lang="en">Models, Biological</dc:subject>
  <dc:subject xmlns:ns23="xml" ns23:lang="en">Permeability</dc:subject>
  <dc:subject xmlns:ns24="xml" ns24:lang="en">Pharmaceutical Preparations</dc:subject>
  <dc:subject xmlns:ns25="xml" ns25:lang="en">Pharmacokinetics</dc:subject>
  <dc:subject xmlns:ns26="xml" ns26:lang="en">Reproducibility of Results</dc:subject>
  <dc:subject xmlns:ns27="xml" ns27:lang="en">Swine</dc:subject>
  <dc:title xmlns:ns28="xml" ns28:lang="en">In vitro-in vivo extrapolation method to predict human renal clearance of drugs.</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
