Literature DB >> 12713276

The composite solubility versus pH profile and its role in intestinal absorption prediction.

Barry A Hendriksen1, Manuel V Sanchez Felix, Michael B Bolger.   

Abstract

The purpose of this study was to examine absorption of basic drugs as a function of the composite solubility curve and intestinally relevant pH by using a gastrointestinal tract (GIT) absorption simulation based on the advanced compartmental absorption and transit model. Absorption simulations were carried out for virtual monobasic drugs having a range of pKa, log D, and dose values as a function of presumed solubility and permeability. Results were normally expressed as the combination that resulted in 25% absorption. Absorption of basic drugs was found to be a function of the whole solubility/pH relationship rather than a single solubility value at pH 7. In addition, the parameter spaces of greatest sensitivity were identified. We compared 3 theoretical scenarios: the GIT pH range overlapping (1) only the salt solubility curve, (2) the salt and base solubility curves, or (3) only the base curve. Experimental solubilities of 32 compounds were determined at pHs of 2.2 and 7.4, and they nearly all fitted into 2 of the postulated scenarios. Typically, base solubilities can be simulated in silico, but salt solubilities at low pH can only be measured. We concluded that quality absorption simulations of candidate drugs in most cases require experimental solubility determination at 2 pHs, to permit calculation of the whole solubility/pH profile.

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Year:  2003        PMID: 12713276      PMCID: PMC2751472          DOI: 10.1208/050104

Source DB:  PubMed          Journal:  AAPS PharmSci        ISSN: 1522-1059


  15 in total

Review 1.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Authors:  C A Lipinski; F Lombardo; B W Dominy; P J Feeney
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

2.  The emerging importance of predictive ADME simulation in drug discovery.

Authors:  Harold E Selick; Alan P Beresford; Michael H Tarbit
Journal:  Drug Discov Today       Date:  2002-01-15       Impact factor: 7.851

3.  Experimental and computational screening models for prediction of aqueous drug solubility.

Authors:  Christel A S Bergström; Ulf Norinder; Kristina Luthman; Per Artursson
Journal:  Pharm Res       Date:  2002-02       Impact factor: 4.200

Review 4.  Prediction of drug solubility from structure.

Authors:  William L Jorgensen; Erin M Duffy
Journal:  Adv Drug Deliv Rev       Date:  2002-03-31       Impact factor: 15.470

5.  Correlation of aqueous solubility of salts of benzylamine with experimentally and theoretically derived parameters. A multivariate data analysis approach.

Authors:  Henrik Parshad; Karla Frydenvang; Tommy Liljefors; Claus Selch Larsen
Journal:  Int J Pharm       Date:  2002-04-26       Impact factor: 5.875

6.  Estimation of aqueous solubility of organic compounds with QSPR approach.

Authors:  Hua Gao; Veerabahu Shanmugasundaram; Pil Lee
Journal:  Pharm Res       Date:  2002-04       Impact factor: 4.200

7.  Solubility of organic hydrochlorides.

Authors:  S F Kramer; G L Flynn
Journal:  J Pharm Sci       Date:  1972-12       Impact factor: 3.534

8.  General treatment of pH-solubility profiles of weak acids and bases and the effects of different acids on the solubility of a weak base.

Authors:  W H Streng; S K Hsi; P E Helms; H G Tan
Journal:  J Pharm Sci       Date:  1984-12       Impact factor: 3.534

9.  Passive diffusion of weak organic electrolytes across Caco-2 cell monolayers: uncoupling the contributions of hydrodynamic, transcellular, and paracellular barriers.

Authors:  A Adson; P S Burton; T J Raub; C L Barsuhn; K L Audus; N F Ho
Journal:  J Pharm Sci       Date:  1995-10       Impact factor: 3.534

10.  A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability.

Authors:  G L Amidon; H Lennernäs; V P Shah; J R Crison
Journal:  Pharm Res       Date:  1995-03       Impact factor: 4.200

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  12 in total

1.  Ditosylate salt of itraconazole and dissolution enhancement using cyclodextrins.

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Journal:  AAPS PharmSciTech       Date:  2012-06-06       Impact factor: 3.246

2.  Exploring Canine-Human Differences in Product Performance. Part II: Use of Modeling and Simulation to Explore the Impact of Formulation on Ciprofloxacin In Vivo Absorption and Dissolution in Dogs.

Authors:  M N Martinez; B Mistry; V Lukacova; K A Lentz; J E Polli; S W Hoag; T Dowling; R Kona; R M Fahmy
Journal:  AAPS J       Date:  2017-03-06       Impact factor: 4.009

Review 3.  Recent progress in the computational prediction of aqueous solubility and absorption.

Authors:  Stephen R Johnson; Weifan Zheng
Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

4.  Prediction of modified release pharmacokinetics and pharmacodynamics from in vitro, immediate release, and intravenous data.

Authors:  Viera Lukacova; Walter S Woltosz; Michael B Bolger
Journal:  AAPS J       Date:  2009-05-09       Impact factor: 4.009

5.  In silico prediction of drug permeability across buccal mucosa.

Authors:  Amit Kokate; Xiaoling Li; Paul J Williams; Parminder Singh; Bhaskara R Jasti
Journal:  Pharm Res       Date:  2009-01-30       Impact factor: 4.200

6.  Effect of drug lipophilicity and ionization on permeability across the buccal mucosa: a technical note.

Authors:  Amit Kokate; Xiaoling Li; Bhaskara Jasti
Journal:  AAPS PharmSciTech       Date:  2008-03-20       Impact factor: 3.246

7.  Application of gastrointestinal simulation for extensions for biowaivers of highly permeable compounds.

Authors:  Marija Tubic-Grozdanis; Michael B Bolger; Peter Langguth
Journal:  AAPS J       Date:  2008-04-02       Impact factor: 4.009

8.  Utility of physiologically based absorption modeling in implementing Quality by Design in drug development.

Authors:  Xinyuan Zhang; Robert A Lionberger; Barbara M Davit; Lawrence X Yu
Journal:  AAPS J       Date:  2011-01-05       Impact factor: 4.009

9.  In silico modeling of non-linear drug absorption for the P-gp substrate talinolol and of consequences for the resulting pharmacodynamic effect.

Authors:  Marija Tubic; Daniel Wagner; Hilde Spahn-Langguth; Michael B Bolger; Peter Langguth
Journal:  Pharm Res       Date:  2006-08       Impact factor: 4.200

Review 10.  Predicting pharmacokinetics of drugs using physiologically based modeling--application to food effects.

Authors:  N Parrott; V Lukacova; G Fraczkiewicz; M B Bolger
Journal:  AAPS J       Date:  2009-01-29       Impact factor: 4.009

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