Establishment of novel prediction system of intestinal absorption in humans using human intestinal tissues. Issue 8 (19th May 2013)

• Record Type: Journal Article
• Authors: Miyake, Masateru; Toguchi, Hajime; Nishibayashi, Toru; Higaki, Kazutaka; Sugita, Akira; Koganei, Kazutaka; Kamada, Nobuhiko; Kitazume, Mina T.; Hisamatsu, Tadakazu; Sato, Toshiro; Okamoto, Susumu; Kanai, Takanori; Hibi, Toshifumi
• Is Part Of: Journal of pharmaceutical sciences. Volume 102:Issue 8(2013:Aug.)
• Page Start: 2564
• Page End: 2571
• Publication Date: 2013-05-19
• Subjects: Pharmacy -- Periodicals; 615.1
• DOI: 10.1002/jps.23609
• Languages: English
• ISSNs: 0022-3549

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>The objective of this study was to establish a novel prediction system of drug absorption in humans by utilizing human intestinal tissues. Based on the transport index (TI), a newly defined parameter, calculated by taking account of the change in drug concentrations because of precipitation on the apical side and the amounts accumulated in the tissue and transported to the basal side, the absorbability of drugs in rank order as well as the fraction of dose absorbed (Fa) in humans were estimated. Human intestinal tissues taken from ulcerative colitis or Crohn's disease patients were mounted in a mini‐Ussing chamber and transport studies were performed to evaluate the permeation of drugs, including FD‐4, a very low permeable marker, atenolol, a low permeable marker, and metoprolol, a high permeable marker. Although apparent permeability coefficients calculated by the conventional equation did not reflect human Fa values for FD‐4, atenolol, and metoprolol, TI values were well correlated with Fa values, which are described by 100 · [1 − <italic>e</italic><sup>− <italic>f</italic> · (<italic>TI</italic> − α)</sup>]. Based on this equation, Fa values in humans for other test drugs were predicted successfully, indicating that our new system utilizing human intestinal tissues would be valuable for predicting oral drug absorption in humans. © 2013 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 102:2564–2571, 2013</p> </abstract>