Models to Predict Intestinal Absorption of Therapeutic Peptides and Proteins

• Type: Another Publication in an International Scientific Journal
• Date: 2013

Authors

Filipa Antunes (Author) Other; Fernanda Andrade (Author) Other; Domingos Ferreira (Author) FFUP; Hanne Morck Nielsen (Author) Other; Bruno Sarmento (Author) Other

Journal

Title: Current Drug Metabolism

Vol. 14

Pages: 4-20

ISSN: 1389-2002

Publisher: Bentham

Indexing

ISI Web of Knowledge - 49 Citations

Scopus - 73 Citations

Scientific classification

FOS: Medical and Health sciences > Basic medicine

Other information

Authenticus ID: P-002-245

Abstract (EN): Prediction of human intestinal absorption is a major goal in the design, optimization, and selection of drugs intended for oral delivery, in particular proteins, which possess intrinsic poor transport across intestinal epithelium. There are various techniques currently employed to evaluate the extension of protein absorption in the different phases of drug discovery and development. Screening protocols to evaluate protein absorption include a range of preclinical methodologies like in silico, in vitro, in situ, ex vivo and in vivo. It is the careful and critical use of these techniques that can help to identify drug candidates, which most probably will be well absorbed from the human intestinal tract. It is well recognized that the human intestinal permeability cannot be accurately predicted based on a single preclinical method. However, the present social and scientific concerns about the animal well care as well as the pharmaceutical industries need for rapid, cheap and reliable models predicting bioavailability give reasons for using methods providing an appropriate correlation between results of in vivo and in vitro drug absorption. The aim of this review is to describe and compare in silico, in vitro, in situ, ex vivo and in vivo methods used to predict human intestinal absorption, giving a special attention to the intestinal absorption of therapeutic peptides and proteins.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17