Literature DB >> 11899104

Assessing the absorption of new pharmaceuticals.

I J Hidalgo1.   

Abstract

The advent of more efficient methods to synthesize and screen new chemical compounds is increasing the number of chemical leads identified in the drug discovery phase. Compounds with good biological activity may fail to become drugs due to insufficient oral absorption. Selection of drug development candidates with adequate absorption characteristics should increase the probability of success in the development phase. To assess the absorption potential of new chemical entities numerous in vitro and in vivo model systems have been used. Many laboratories rely on cell culture models of intestinal permeability such as, Caco-2, HT-29 and MDCK. To attempt to increase the throughput of permeability measurements, several physicochemical methods such as, immobilized artificial membrane (IAM) columns and parallel artificial membrane permeation assay (PAMPA) have been used. More recently, much attention has been given to the development of computational methods to predict drug absorption. However, it is clear that no single method will sufficient for studying drug absorption, but most likely a combination of systems will be needed. Higher throughput, less reliable methods could be used to discover 'loser' compounds, whereas lower throughput, more accurate methods could be used to optimize the absorption properties of lead compounds. Finally, accurate methods are needed to understand absorption mechanisms (efflux-limited absorption, carrier-mediated, intestinal metabolism) that may limit intestinal drug absorption. This information could be extremely valuable to medicinal chemists in the selection of favorable chemo-types. This review describes different techniques used for evaluating drug absorption and indicates their advantages and disadvantages.

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Year:  2001        PMID: 11899104     DOI: 10.2174/1568026013395010

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  19 in total

Review 1.  Application of method suitability for drug permeability classification.

Authors:  Donna A Volpe
Journal:  AAPS J       Date:  2010-09-02       Impact factor: 4.009

Review 2.  Current industrial practices of assessing permeability and P-glycoprotein interaction.

Authors:  Praveen V Balimane; Yong-Hae Han; Saeho Chong
Journal:  AAPS J       Date:  2006-01-13       Impact factor: 4.009

3.  Comparative QSAR studies on PAMPA/modified PAMPA for high throughput profiling of drug absorption potential with respect to Caco-2 cells and human intestinal absorption.

Authors:  Rajeshwar P Verma; Corwin Hansch; Cynthia D Selassie
Journal:  J Comput Aided Mol Des       Date:  2007-01-26       Impact factor: 3.686

4.  P-gp inhibition potential in cell-based models: which "calculation" method is the most accurate?

Authors:  Praveen V Balimane; Anthony Marino; Saeho Chong
Journal:  AAPS J       Date:  2008-12-11       Impact factor: 4.009

5.  Assessment of poly(methacrylic acid-co-N-vinyl pyrrolidone) as a carrier for the oral delivery of therapeutic proteins using Caco-2 and HT29-MTX cell lines.

Authors:  Daniel A Carr; Nicholas A Peppas
Journal:  J Biomed Mater Res A       Date:  2010-02       Impact factor: 4.396

6.  Validation of IMP dehydrogenase inhibitors in a mouse model of cryptosporidiosis.

Authors:  Suresh Kumar Gorla; Nina N McNair; Guangyi Yang; Song Gao; Ming Hu; Venkatakrishna R Jala; Bodduluri Haribabu; Boris Striepen; Gregory D Cuny; Jan R Mead; Lizbeth Hedstrom
Journal:  Antimicrob Agents Chemother       Date:  2013-12-23       Impact factor: 5.191

7.  Metabolites of Lactobacillus plantarum 2142 prevent oxidative stress-induced overexpression of proinflammatory cytokines in IPEC-J2 cell line.

Authors:  Erzsebet Paszti-Gere; Krisztina Szeker; Edina Csibrik-Nemeth; Rita Csizinszky; Andras Marosi; Orsolya Palocz; Orsolya Farkas; Peter Galfi
Journal:  Inflammation       Date:  2012-08       Impact factor: 4.092

8.  Principles and Experimental Considerations for In Vitro Transporter Interaction Assays.

Authors:  Sid Bhoopathy; Chris Bode; Vatsala Naageshwaran; Erica Weiskircher-Hildebrandt; Venkata Mukkavilli; Ismael J Hidalgo
Journal:  Methods Mol Biol       Date:  2021

Review 9.  In vitro cerebrovascular modeling in the 21st century: current and prospective technologies.

Authors:  Christopher A Palmiotti; Shikha Prasad; Pooja Naik; Kaisar M D Abul; Ravi K Sajja; Anilkumar H Achyuta; Luca Cucullo
Journal:  Pharm Res       Date:  2014-08-07       Impact factor: 4.200

10.  Lead Optimization in Discovery Drug Metabolism and Pharmacokinetics/Case study: The Hepatitis C Virus (HCV) Protease Inhibitor SCH 503034.

Authors:  K-C Cheng; Walter A Korfmacher; Ronald E White; F George Njoroge
Journal:  Perspect Medicin Chem       Date:  2007-06-26
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