Literature DB >> 19132929

The use of drug metabolism for prediction of intestinal permeability (dagger).

Mei-Ling Chen1, Lawrence Yu.   

Abstract

The Biopharmaceutics Classification System (BCS), based on the aqueous solubility and intestinal permeability of a drug substance, has been widely used to predict the extent of drug absorption during the course of pharmaceutical development. Combined with product dissolution data, this system has gained a prominent role in regulatory process to determine if a drug formulated in an immediate release solid oral dosage form qualifies for waiver of in vivo bioequivalence studies. In parallel, the Biopharmaceutics Drug Disposition Classification System (BDDCS), using aqueous solubility and drug metabolism, takes on another venue to predict overall drug disposition. It has been suggested that the matrix of drug metabolism in BDDCS can be used to substantiate the classification of permeability by BCS. A total of 51 drugs were compiled in this study to examine the use of drug metabolism for predicting permeability. All compounds were classified as high permeability based on BCS, but only 73% of the compounds were found to exhibit extensive metabolism. Lipophilicity accounts for significant metabolism of many highly permeable drugs. Fourteen (14) out of 51 drugs have poor metabolism, suggesting that high permeability as defined by BCS does not necessarily dictate extensive metabolism. The drugs that have high permeability but poor metabolism are generally hydrophilic molecules with low molecular weight and are likely to be absorbed by active transport mechanisms. Based on the present data and literature information, it seems logical to predict that the extent of absorption is mostly complete (or > or =90%) if the drug is subject to a high degree of metabolism (e.g., > or =90%). The extent of drug metabolism may be useful in supporting permeability classification under certain circumstances.

Mesh:

Substances:

Year:  2009        PMID: 19132929     DOI: 10.1021/mp8001864

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  20 in total

Review 1.  Improving the prediction of the brain disposition for orally administered drugs using BDDCS.

Authors:  Fabio Broccatelli; Caroline A Larregieu; Gabriele Cruciani; Tudor I Oprea; Leslie Z Benet
Journal:  Adv Drug Deliv Rev       Date:  2011-12-21       Impact factor: 15.470

Review 2.  The role of transporters in the pharmacokinetics of orally administered drugs.

Authors:  Sarah Shugarts; Leslie Z Benet
Journal:  Pharm Res       Date:  2009-06-30       Impact factor: 4.200

Review 3.  Prediction of solubility and permeability class membership: provisional BCS classification of the world's top oral drugs.

Authors:  Arik Dahan; Jonathan M Miller; Gordon L Amidon
Journal:  AAPS J       Date:  2009-10-30       Impact factor: 4.009

4.  The BCS, BDDCS, and regulatory guidances.

Authors:  Mei-Ling Chen; Gordon L Amidon; Leslie Z Benet; Hans Lennernas; Lawrence X Yu
Journal:  Pharm Res       Date:  2011-04-14       Impact factor: 4.200

5.  BDDCS applied to over 900 drugs.

Authors:  Leslie Z Benet; Fabio Broccatelli; Tudor I Oprea
Journal:  AAPS J       Date:  2011-08-05       Impact factor: 4.009

6.  Case studies for practical food effect assessments across BCS/BDDCS class compounds using in silico, in vitro, and preclinical in vivo data.

Authors:  Tycho Heimbach; Binfeng Xia; Tsu-han Lin; Handan He
Journal:  AAPS J       Date:  2012-11-10       Impact factor: 4.009

7.  Drug discovery and regulatory considerations for improving in silico and in vitro predictions that use Caco-2 as a surrogate for human intestinal permeability measurements.

Authors:  Caroline A Larregieu; Leslie Z Benet
Journal:  AAPS J       Date:  2013-01-24       Impact factor: 4.009

Review 8.  Predicting drug disposition via application of a Biopharmaceutics Drug Disposition Classification System.

Authors:  Leslie Z Benet
Journal:  Basic Clin Pharmacol Toxicol       Date:  2009-12-07       Impact factor: 4.080

9.  Regional-dependent intestinal permeability and BCS classification: elucidation of pH-related complexity in rats using pseudoephedrine.

Authors:  Moran Fairstein; Rotem Swissa; Arik Dahan
Journal:  AAPS J       Date:  2013-02-26       Impact factor: 4.009

10.  Relationship between characteristics of medications and drug-induced liver disease phenotype and outcome.

Authors:  Raj Vuppalanchi; Raghavender Gotur; K Rajender Reddy; Robert J Fontana; Marwan Ghabril; Andrzej S Kosinski; Jiezhun Gu; Jose Serrano; Naga Chalasani
Journal:  Clin Gastroenterol Hepatol       Date:  2013-12-20       Impact factor: 11.382

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